{"id":100,"date":"2026-10-17T11:03:25","date_gmt":"2026-10-17T11:03:25","guid":{"rendered":"https:\/\/therisk.global\/economic-development\/?page_id=100"},"modified":"2026-10-17T11:03:25","modified_gmt":"2026-10-17T11:03:25","slug":"employment-and-technology","status":"publish","type":"page","link":"https:\/\/therisk.global\/economic-development\/topics\/employment-and-technology\/","title":{"rendered":"Employment and technology"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/economic-development\/topics\/employment-and-technology\/ \u00b7 source authored \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-fig-engine\" data-nx-run=\"fig\">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<\/script><script type=\"application\/json\" class=\"_iub_cs_skip\" id=\"nxe-water-data\" data-nx-pack=\"deflate\">vbv5023ZXd635mGP55z3nHe+8+3b45W6W1OrERpsCYJt2Y6RZGIHASbBEIwIoAAVcLq64sI2psoJsSukKFcIjisB2wk4tmxRFScSmltqpFYPt6c7vffedzrzHta8VvJSlX8htX7ZP+wf9l5776ee7+d59kcBAL9y+RcvP\/vUE5d\/4bM\/9tmf+tnP\/MLlZ\/\/6Dz9x+W\/91Gd++v87\/LHP\/CeXn\/2Vy1f\/xuVn\/\/qTTzz17nc\/+fQP\/+0nLv\/8T\/3if\/rzv3D52cuX\/\/aXwTA9mZto2E0eCcnWwwPcyxVto2UK6rHh3djj6Kf1gkYqoM4JPKHN+M3dw3SQfa2Z9sfH9\/pFe9N55W+vT2MTqU3FlCHXYUcF8fP74gSeymnZjlK9BJwAf1KwoZ7quOQIiBrlchxOO71sOwOh5R3gpat6pIUnePJF\/3J3K91b35qv0r\/Ven0b3q\/v1iBwyc+DrXbfTdZ13FogrCikI91RjC0GRIL95YTXqWYtrvKtR1JVXRbXzu\/lXqCqOi0kTJQAYRjyW8hIGgOJFFLqOfOYRCaClBZAnsGQCW7zdd2GIg\/SYQatYAAQqYaSCh4zGWkmHSY7MpEWO4SnH+RD4wHzSEotlFYx9Q2Y9W8942tFzQBJwvfyMd3xQ4yZ9IxuEiJPaeAS\/HR8uejH9694APuNu4MljxEPwRA4mUucKWBUV9J5iB1qZLnadxXhYpGMCagGj\/mfpFg4nzCpA3UBNDELAc+CHQJCFGbg1ymODvolfFNI8LgAvwcekxRefWjAl7idN2Z5LMAR+E2ZSpd6Y5bbmHhXSPBvwP8o6xWTA4yoZzPdYh8y4MDXpWFt6ijquaWwbHACGxxU8DMyZZb1UNntOeIF+Gq6ktmBZjZls6hJ6w0zxpUMXCjAJ9JvSfM2PWQQ12aIM895ToDDznPwsfSjcjXwpryHI6JwkIO\/lr5Xgkph95KEhOkBZrKH3OMc3Eo\/IJYsyj7QpvC4yZinlARcgqvsDyCQhsatYNxV9SowlMa3ZVXcQ3sM\/IfsTeKSP8VvMwGeysAPsjl2++YrnqRDjOEheYphPOHgJ+kMq\/tQ0cAQzu0uB79EP088SCuy4j0p+n0Jvorehv6agySzId1nRywBxsHX0B8i21ukTsValuR8Cf5j4oAxgUSrU\/IbC1o6TCHmSbiUge+1\/7h3LKw8SA9QwzlaER6fKsD32Uu92Qwt3A2ZIfAwv5ta6jABowH4G\/ZT2ieSW8qzVNs53jfAK\/gd+a\/oY16w7ZBR8FuUrfW+fzEHcFOCf+K\/16LmHI+ZxS4FY7i2DLyKn3DosDrwl\/TEgxL89\/hZB6n1kOXSSLNESwmHI4f7YFsBDPntNRzrK2aaHcclj4kJ8HNQGTtyGDbOkE62aLMGf4dULZSOxlWg9tR6irFyURpWGJGHtFGAv0n+2y7x5ST1rlSgOKGQNEjCXpAN8PvpZp4ylZzRKLbGmWValg8ISvsZ7RGsMglZlSIT4IfSWs7fWMziokQb5\/mVyHfAt\/0nc7PDrt3HNFg\/B8mTADFyPtKgE3QqwCXFfF1ZRzHcWNUp8BJ8iv0DbnbDyrLk3ef5K3SPCNDQmj7l6wr8WfY\/8cCdYRvuXG9AY4dBkf+FL9Fx8TB8TwmeYpnQPds3exarv1dtwpwhmseSYJ9tghldZb5mhGTtx\/v75IhESkGTvENqI6yJSi\/ZtngVMZHkBbPDwVfofm62LCL\/Bla8gpscHNBfzv1fNjNwR7zCmefXwcfC3y\/tpGPA96KLZlhFx+bcbMk65HcaooM2IeLenS70mmiSoq+yDAzuZcMxrwzgWEkbCQe878lwTal3zBKU94D35Dr4iv+1UgxNoAQw5zAz1tLDE9f65LIA8NRjM7ut1iexhWu5iGsUCAGaZtAjAhxFkbEohziJjAy3rwQ0kVQOGK2Ca8QV8EfghjTMBM1mWOsOTHSMnV1TbWUMNlsUURDRacdscMQtFfBjRso8d0KnvEhcIFjWSeXXwGfhL0pbY7GMHZ8b1zX+mHtJAJaRKcyIz7zraOJ95BE3IshuDeqlVXgtkuTUqCDMvgnFBTCkKPsEWKWfyWJ5gDrKyFICsTnCJYV8sLgWB\/f+4mynBd0lIzQAaxd61oxmEhQK+jo6j9w4aU+CYR278fDN\/I43rO9ZUh6Be25kmU96je+OjxmyaxKcLTE3UNIW0UmDMHA0ZavsVd5jgmfMSbxQXg28XGEaMy5DlpFwuzJ4ltNsR288Ccbgi7JTYU2\/YPUyLAuQZTJyse2YT6hvGjOfbqyTKgwIK5uQKkGxrjHSVr9AwJz5HZoH1FapziaEkIDrMMkjz7L+CtgcTjztzRj8vfTjwo57Hq7kwnK3t5Zhf0bkffB28XI8kW8zyA4THRVx5zr4KfDrPE1O6vm5ae0ES4B00mWt8LmDXrGBZw47o4GloVxhy3tP6nXZ+5cj1d5RpdP7vjRa77ejhvXnu2yexboh\/WRaB7P9EfBr4KKkspXK48wkJNTIxThvWVp4r1hcPRg7d7rtFWsWegpVg4MFSrU0uFPTHY6Mb2hMjllj3bwMYYVTai47sSaQ+AwxK1NF8twSs4fDEAPKoTh\/bizGSVJMPMn2hxaeAx3983T2PEjrm\/HEQbdwAClPzRx+R3RkJCs0wB0bkTaVlIGaSfEspegjxYftrjraBX9E\/wqJW9q4tUHOL7bMdujxykP6dWgJQTlZERAPeE8xHXOGDB6wiB7dBR8mD+cH+TT++\/NFk2YH3axMTCMbsoDXyz53F3htBuwSzPssbWJUSywMElvg5\/EH8jAS5dobgrL+jfm6uOcWpHehH4DetFueFzyBjW0xiojde+jPgu\/BModkDTRfkNPO9adwoTrmtY22F4BR6PqA1VpLCH3fg2NMgWLJOM1iv26yjiXGcKNug4UKRKeFQIBvXqDXPYF5hsuyxEhqbbicjCYDWVFmORWJcIESNQhyhqGiOLAS\/Ev0XAaYQl1Hu9UC2zxGU48CFXUUu+B30IcykJsAuEHKnFpoPXS6QsEZSBTBWcwkjdz2KLRZ8kzoatNICb4EPysbt9XkcH9Ec8Pf6jqdgf8G\/r4w6GjmOr6sU1GgPQwDzcGXwIeZql7bWng1w23l9sK+iJyphwBPt3Arvimtz2xyU7LSJ\/H5VyIwSt\/KTytdwy01oZjtFk\/r7UxeClQgJh2uqMNcMl+RxGQ+AFwYLsCXzH\/XoK\/JP6GYjdKwea8uBfiKed7i+ygyXn96+aLuYzsBN8wv+3hpXdgY1560fwf+zwTIjbRZXsMAmirPN+l1d90NXHL3a\/B580mno1+h12gfTuSL6SeQpD3dDCMfYxbUI+C37N+1unywOYerWfp3xCIO3wUOsCOb9I5r4SLQoNg9xmJFsa9JRDjt4CVm6B0+p4k+YMNU81dwyDDRlOFzmp8HB+5\/sKnQLLjEV8N+EibehVP5j+imz2QnmcHAGQEzJxHNT\/I6LYmjjLgkmQz8HPgT+NvGPdpn3dW+dFsapEFfu1n6Zl7QgBbDBrTlmyGijjgkcIDz1YO4JBkHlGVPbIOPsd+Ffp9jmAPmPN71Tzne3wlfRx5i\/GUyQi+SHM3SOUiIiTkJfvdp8EH2l2GcRGQtqYPwMVxLODk3Cjd9Z0PqOq9OdExm9A3xbPga0+zP4A5zfw8HjNPau0jC3eotMEGagrAsevSBRGIMh36fIjxYna96LkJegKfxF4DG9x3qbQSWuhJPTOKiMkKAH8L\/HjRwZYiuHa8Z9FgAj56Bq14T4zdfEMxPyNUc\/BK948zQ3MQtFviEIpCRDmfm4hbo8KA3l1elGa6q4PgDbAV3a6lASwAUdEYDaFlKgsDYMhc2t8Gvwx+zZOzGhqQsGD8y3Bja+bdaXbTgwGveERguYimVQHyNM7eRA5cu+LRzomJjLVjnDmPiSwzGfxH8Jvli6uYBe4sec3S+9OtYhuO03W8sRLsVo2ZoZUYeOQvHvmhScxTHAagjfNs2aJa0trg397b2wSSvzIKfgBVJxTaPseUSbREYGLElAVYokfsbNGaSB0SJd4rhRSMpjZXwCvdYCIIdJihQDCR2RDCQrj0EPk7+84QnWgYfJPQWutUpa3XE5lUP\/Bx0hMaeZmnFJFLZhXBSbpBjkUErAjgvBGxlhgoLBI\/cu2fAj9N25Tf6AaJELZ41AGSr5DLEPCSM9JjiiBUcxtxHDFOF+ri93vZDv3SRrCwlt1zutZd+oUvUOwcdgV7Lm0RLB1\/Ku0QE8ZZY39mopWr+Ekjkg+A6\/XrEG7aPwgUofYrDcHbS0rjpH+A71ON1vENTynh9tmexpwbeJo9jBNa0RC+Akro0QB3kyAKOAsJ2zHooUYuIPm9hsio7u7ucmoojlKtKBF9TAUqaIHMVB72pSn\/dfJN3SJIQCw5+Fd5ooK1CTmzZi355G\/wG\/YCBVwvEj2jhx7RDFKyYpSKM2VH+KLw621UzXDoTz\/zmBHtE\/dCDIIijOGzjJYn4vL0aYLfgNRj5FOYg663MUJmw7UlmMxqx8DtO6gPyiIvmGBYmFCOw7wbqJt7xPlFe9SP7qn+X\/07adgne0++KNpCQaKUcyaK0iAKcuei2kgsIrOMl1dCLegCWLosOrU2e2kC8I0vvEzPAOrKiyNpykW\/Ye4Qknc2idRA3uoqB3ou54T7GYXRdSaCVhIYskmBTFjo3CtEL5bKux0bA3sLijk\/VkcHs+O6zNiUnvyNn9C7CSfOGFOSkmBHil7KJ3hEwdcf0SCZaU+DPa4ERU+R6udh8YvME9BwERRuEoUfUvMEgGdElIWCBKVyJADq+8iZKi+OavGZK0qB\/jnoW\/QGd5m16R\/YN6c9oTVUUF9B7T29Z3qFu29z+B+BX2W\/a9EH7Gv5Rl8cAL3g5fR6c4I+f\/i4+tjK8Bc6bBfpS3Ag0BvB596RP8H\/XP+hfD9tmlV5TMej0Gj3xPHTgnY7FbWvNt4HFGEV62zFwi1oT04I9+NMdBmDOo0loyiF\/rzhGAfO0py6hLblhjtMpVMLRPbhmSC1BS1m4RSCvwPfT8+AFOBh8TUTwTPdI3IYCzosb+a+gN7Ory\/8tvYEr92X6QHwovqjfYAf8E+6fIoNqpMij4RvQkRq8IX8gfoDcoZfbz+R\/jGqs4w4xkMTr9Dg9ac4jzg\/Ae+0VsiSlfwgpxOLFf0Z\/m\/6uBpmue9icg6vgU6bn\/umw0LVKno031E5PQG\/gaoMN8qKgaIgcoaQrov9Q0HbPdqGyD2Y7KqxfL45T50c9B0s+Sye6Xt0tXgK3wnm1Ea5NT\/0a6QDJ3BNoPY4hNvlXLA77weJCb5kY7niR2uAdIU1gbu2Za6eLw+SDKXWSFIwOam3YE\/rKck9fdZkLhIEtd96Rziu6Cm3lnNo2xGlcd3VhqNCCYeqyfL\/hqFyX16pJRiqQm9HtumYgChQYQRZi5hBBlpDU1hXrZaAD9V6+YcYugSyQGEAevJVx0zOc91ajNA2jDiaufGzxucAcNtGtcSmFRyFQpuFgz3CeaIktYjgmiQ1NSeAoeWTOQWkhJJZF7\/PQgconL+0abagG1y63IHaxCNGVFqBjNYkucR\/9psVK02FkWovCSDi0eXeo3w7MueGTyKSRod4EzIY2X+LYxzw5z1f3w93T2+l5kLxqdJhN79P7dkuH2aGbLR\/4pedmJbdyMXnPaFJtF+8zO8kFaqOek7VfxaGjcNS2SS5Ze5UMbOFjEu23PIBrDxZHrOFJ8OSGlwwjENfgbpYjY4M6IcFq2JzRIqRdRI7ArnezeeOoU22BJI0ahzVOXlEAnY7xXneSQQOMDawNBJwuCeBtJs9c+mn2YD5gwAuANKHQZIgJt55j4hRj84z0rp94J9t2YAO1SrKZLxwG2Ykc6g4TYzX1FoDKJUoj6jWZ29xZ7CLymVvguOwIcMkvTk\/C2kPsHbJ6Ze6TB3ULixCiCAbdrmaxNbHFKZF6lTmCghcw2lJzhp0F2E\/I9j19WNjgaYNImBFip5AIbwJcuTVehRQJGDjoja58yKcaYBMc7ihkjTXkNgU22QUmWBm0ngWNKWwctauAgvbYBmQ9XUHFbvVv+R510kYGMnM\/f2M3Vl2dPwIyJzBlQVaXRH4tbqMIWUvvzxNzLuFTU\/jeRnrbr1pfExkGdAQmvjIyWc8BxSEyR4LrSWvvAxZ9aKInxk+z+zuAkWh5ygbnUtbvnEyKOBgiUaMUSslEzFzKKRhuXY7con4554t+lSGek6ESMLtEQNIsMrbmaWBlQ\/E1LXwl93GHnvTTHp\/ZbEIMp7gbrBQwnpGtxZ5msyBpEm3dQEnthMJ0PjIVJTMbq6GBDLeEIs9fz\/q6h4f3Dte+SVU5WRLH6Obc1FJkgPMoOKrWDxtEqZUWeX\/mZha2lgaKQX8NXlicO9pzl94sZ+BBf+PG7Xl03PuwdN8lb7qufxBuHq+SXTcGzIl3KR141M1Br+bLY+Nh53hjZuSeW83eOF4cU8AHk5LAqJhdg6Z5e333rl3hVezkLK0HbYYozeKbRtNmq3N91aXjpWm6r5BDBSNdGIVdcEf84AE0BS9a4pVQQdmyna2A0QbAzq6WjUZdFTY0tCrK6a1TFQ3XHiQTCtc1GuIOJx2zNkeL7s6pj5YumENnU1puTq0jfcbwDjzqNel4Hua5C4JNHA0BkTzR1uRuzteIckAW3ELBYDuU2BjqEWVrUhFDwJkDlbh3KAwA5kDJELYzazuqUYYN5SLANQW+c4i6fMACGnHSpKCh5GQVSyoCHHCVVbLLKI+UD0DgIiIrMu+Ithaa0myxWjykibxQZOJcnkfJHnFjUfmcPZo\/Q5m\/kn3QVVPhr32+XgxURh49eO\/JQ4fVsaBjJdB4u2R57CNJxmYNJcOQFdRnskxiWwQsC8AH2xXTGRk6yoQX6Nwpp05wE2zRwX45XUu7qLzzWY9nzhcaBouRLYNYVI3i3rNeOE6oI\/jqG5CJEKbVDTR\/x5ctF\/MYI+luXvi9+lTcyZQ8rToRiCCuYpkqw9XXIUUqM4me2WuKoxaBcObrozyhLmsvnA6MgHydtFi+zd6+2qHjUcQsejqns6KHjlG0GJro+srs3KxAaUTLg1OTe6gKlPqMjOZi\/f1vyRmNxSsZ2DnMEG95pNCKzMEaLWzEPUHVchTyfpPt9SPxNE4DvOCYeESBPde5aw53fV60KSggCCuR1AyJhrKkObIGa5KSgE4k43AnjSTG495HqJBBOWgxJsF3rJEMVaDxFvscYm5r0QvSLpTjTghvc5JstcQsJLvBViQhAnTbyqVkSCRFzGSEXO+GoAVdDy33mA1sd0qiLElTtqjJfMyZgjz1xEjsLFbjtQ8zgZciIIKtjXQVkh77bvcLghpCGVZ2RqYExK\/zFSOuQw2maA4x9ZD52wybZWBeg6rv0cx4HJvDtCSBD+FSSgnZKO7RGa+A7V9fzaCy3Ez7zg98UosAly8b370dQqTRo3h2neoAnAUiVnXREOcAVN5ROLiIMsAcgtmZVBX7kWSCDInjCAtieS5wd49aLNK6Bylka7zWU7DEkkFoJK46IdXKYX+\/PuB5yELCPFDMUQ8ZvIsp1sHm7dk8BDMaeQYlwdEzgAUGYTMboz2MpSc9zgkECz2jvYPkS\/kSD\/jr2WVQ48D20gA6HSJH7yEL0WDS12mPRHSXYfRm1tYvICEJvEbqoigmPuAJGyXsQ6IEAoHXWMCr+Tk7DF0kdGA34DUfYhU9fG\/\/w2j\/3nPgIm0Qg5bXsCLQZ86Nvg9MQlr9sV5HijyoaeQjUDuUDel2cIllW1hh7OrV2NeIE88L6JDUODGnI4YDkYHx\/EfTdTVxR85GFt\/Dnlo9GgDo1zt5n4rRkmK8L0r1IlZMsMcXl+DEbIGPwow6tU0pnEoFhzjZIcydI\/VK9xtwqgruQMlwpimBVb4rtPegYxkJaCC\/mfW8PFM+KlOGMVS8RKWjHJyS3zI2qnlaMy8zuC\/A2\/QPtQZgKl4TJZm4seEMPMT+lgrSB\/ivxZNxk4F\/Rb+iilv0XBhaqNdXwFfpk9oP4aMBhSYKdYQGOoOFQ8FEEoLHfgraMxxjaZwNDvCJmAmpN8gm06Bit9KYK7CBHKSbYId+2hCxfOpMs9DEFmZJ79NEFov7flWYeI8RWom4m6fcAscF+BTdtKFYR3+X9jyJDE4E+AL9ugnvbDfT57jGLU9p9wIw9NPaYGNi5iDoHIU6QPAS9pDjjp2P\/46VcZsuCIUt5t3DxMEcLaAgi\/Qwjoi58S54mp2qlBtGRqEMMW15EV1AtvYzcYI\/RwLYQwqVcIEYcn5FMVhSBB55CvxV9pLuduK+g5GnEmuM0jCA6PzIWnDJFu23oGUoOeMjhSuPvReHKqNfwEN4D2uYkSl\/f\/rXtCM78SCbw6fRK3BIWkzCI+wOyeBlOvfveCdA7Hd1mFhLr\/s6LcJj8VX9mDOxJtS9VzwCr+qnPfbzMAazSHwIt9CUdwEHH+fgD2GgBHo7pfdDUy44JyGbx1foEgl8CDNs0ChcyMAV9qs67AYVhH2NNbAiJ8L6xyXYZT+i0tAfhtq18RZZ0sDevwtyZnq\/9HlSnoVT59BKIDsPxGvSuhBJMKDnypt0RPqtvwCvI49yv\/E4WNFfV6nwFg08YyRNHO6UP0FvNf8WHtMm\/7D\/JglYwC70HoYH7E35VLpBH4e3qEz7aEoH9h3NpfQwwXSOBVuIc0kEb3LvK\/AC\/bw27zu9CV51perBsUzCDFLaoAoTdLUAP0d\/XC+f0PflVykgYxJjRhxGUHj+QfAvaKXgiDGY2\/OmSYSf5wqUameRJ0EzqscdZDiGC3rzaNxFPeqfNiQEcmQNWnjhEtuwXJ+glwmCx6xXS3vDf44rHsnXyjX9WfFq+j9EI78nvgAtydAhhbQmFuHsKruuqVEb4Bv0n\/X4+uqxxeeMjuu11i8Wc\/ZmMaQQCeKKcTEnH7YPB\/+9gJN\/7nxr6elMp6wIEJa6gcw7ONRRDj1MwwBNG6TTdNIsAfE+EDloLeUeL3TqMuC6nAmjLIZB9yr1OJabfgk7xAhwc\/Qii\/kYLgkLOGNRCI8ECbujfAyKvwD\/Lvu9YH\/Q\/df4OVC40r8vIHfXPQ9U+hE7ZNvwSiQmLt8cfsw9IfbAQ+YZ9aVAovPfjQPfgS+7tUOg0imI7pVIFksy8nuRpAAPA\/WPGBQcfsO\/GiorwqUY+9wGNLPHqE07Z5MAIFwCoSoP3Rt4SQl0vfGPaOtvZm+Fji5N5Q7Jka\/ilH60f2zpxNt5a26Qhyx2CubNu00XEC1nNM5F0g40pM1b+a2wY5GbwZtR+OSm4Ckzi5g\/ZD9i7wQEuvnL6l8ElLS4r4iZHd3xHWks6V5FrqjQIgijkbEsvO4yd9CNbIuWYayh65XBK5d5l07DQAdLQn\/mp93Z21IZBBaeJYd6TpwmS1n6BjcF0dN0n0rQFHMWSR5XFJIVBTxz7fCUR7ILDrKxq2iEWipNU9c1G4ZYec4c4EYgaIdPrL6dETpGD7CniO\/6a7hDBN6z98oiXGAivcw4uEZ4UgKDAVwOB+D18iV4xTxGWgpxD2pyA0VM6Ga8RRjvcIQ4WZ25zkN0K2dUhhVmyKKKYTznnCwJFRpMxXjwEmbElb\/jX4O3HMYH7IjuozvIYeLntOMfiFcoin9Mj7BMx+IO42iQf3Y4QQV4ARlCiqfjuTOfly5QziOuu4+XL\/BP+1GPSCahfgzsZffgqPnPSsGOwCfQ7yCDOPlQuEw3zBOYkCWewOfA\/q+h0v2Gsxi36zuW4JWL2HYnoPEodF6Yzku8E7RLZ36emtQqKNvUR+SU53CmTaRx3cLgwcC3SfoQJjghCjfcMgoX1bAtnQoj1\/\/pF8f1FNUO+6N0QafQpdrgJF0AS3xiuB+a0zTwSzhxHh4aEXq68CCuQxlOw8b879s5eB40Hnb79v39G\/I34rT9QavTn4iXxJHOgfKof1jXtA5\/yWHXxy\/Gj6x206P0nXaj\/0T4cPi\/4rl4IzGfIkkD\/FfNy2oIKqMTTg9v\/Lnsb8If8sQqcI7sT55mT4YL4iH5WfrLCKM5\/ofSQAM+z19jcPwYe3TwweLT7JeIGu6Cq3IT3sIUdQTyITiHMLVpU1wuM3xMPBJuUwyI9+O+QBscUYcQvhp438e\/QjZUVj1VfjYOaNm9K9\/BFghbk3c7Fvb5KBITHIeXitKVPsVKjPs6Xhn\/l0LkiiAySLXWYNDW6Sm9ubdbvS\/7GImYxoF3XsDKYsIYoDlZoYHbrb28gK\/ES\/3lQKKHC8\/NOnF6vr+IdtwTeKx\/GG+vpVU9iivLfARzPfOPtNos7xx7HQak5IBKvFVfGUgxZpBm4J1cysvDneKT2XbaLp\/zj5IaftRvsgsiQzunzwEptgggjD0xe5fV4dBB8Z74CDmvT+sfjUM+CYNulEZwUGR0iN6vN\/iG3UaD5qfRxONUrVv6iBnaFBn4uOLpKiokWV\/sP6WEGXbcDwqPS1uhif2QLtQjlCnhljZC5hN+2+xbG79N1k74oX8z0LDKPDAdib4vwC1s9FL5eDfu6sIay3sTy6b0pdWxpLWjft8D9G17g09DMBKcBONwaCIPKpT6RnoshMBTG6UFwa0+pF\/CH1u\/H4z9LMr4PfPnwLv\/IQDP\/\/+8\/tefA4vnwNn6a2wKh\/J58DLaxzNS4M+NnwdR\/RfwGbeF9vwPkEeQQA2+nj+V3aS1+CLO6HPgsfxFItA1FDDlX+Un8DvsNjKIsmvwy\/QU+yoLQ\/TO5if4BdTSpN8HJfGQYYUYifQUf5Xu2feLhXwf3HbnieHn4fcygUf+Z8kz6Wf4h+OHisJvOheF74wnT+YRFmajOQk\/Qr8v7bsSvQMR6NlNInEEx5kix0SGy\/gq+4NMIZpql8An7FX8\/eFhKClm52NhTcDxIh7bgXkGjTIUhsxhHDZ0BR\/Wvvp\/tYxdqgd5O3Q7U7hHBVNFQc9i9YWEWFqcRAFQzQApUIQ1CWRIHWWxIgnlBMJhPhh8LIqb7J+Sn4Qwt049AMtQJXcvLrr0wPYWBw8OOcz7xEnAlPXnjssIKe5yt9KoCWh5N96DHiN+KgCokZKZPhSIbkAlBOYOchkW66mEIOMdzVInIrrqKc2Rw8iFeANbAiAXOl1Fd0mk54AiJG2TPN0XAzdhimTYIhpynHsGawJwgQKi0HXHTG1cA54SsoNx6LHNC8ixIztpJhCukSUS7cIZy3yJEVIYRoWT3DZMRLyHTouLDIeCOLapU162HpfEE4iGIRMt2jMlhfVO2DSdDoNziaogNoiHA09Dn7hORakes2t4EAYOpYeodOO0DCRNtKV5fPzuTyiSiAndiTvI\/iW7Tz08XV+JVu95ZPSsbJ5kBYloJVrOuveTKm8oGD0ZJ3pYCpZYMxZiEd7VDOKxadqLZKsgaExi+REvMENGnANVXCfsvSd+nS7yHFyR1xyzLpYcs0mxpLX9M0efKkrQlrO0lhCxEsKWYuiLiztb6Qm\/vXbduh\/2wLsHWI2tUnF1lHpH\/AJZzOBNPQ6PMi73BeVVaThBGd7rBk10BdzCDySEvDT8VnqZIGEH9fBQ5GxPQOpA7qnFprfUey\/tR4pvcQ0epys6AaP1dXDORb9ugoeZAMJCbaIgiVZ5W4j8gB4STwlTjPD\/Sp2YEV\/xi9kduMMO2EWi6+dADY4Ih+9MmVdgyB\/3m85jRgCfpvehBmMW6w+YR+2b4SPqFOzSLD0bhgnHAEpHYiCFYYAZy070rlqs\/7i9FWfLV\/le\/kl4SnO4G23EoSYjx72L3CZvfYZVXmGNcvBDMUu9B243PsMm1BKEtuwElZ6RLFV6z\/e+DIs4MoDdabYwCzS23cjs4Hyy2U\/wk+ohwqEmPF4RFho6TFOS6MNUQax+Jh2EJjL8pFkRjHoLwNqnRNAw3\/bXXeZP\/SXXw\/M2AybU9KPhGbW9Tn7SY89Mz6sMsEv+P6CTXoaxZXCDSamhIpwC+wx6d\/89eusPgbqb3U5dqgJOAU\/dXXLes+jxjmIw76WH0ZqRj44plb3q8MnvB+j69q3elSf+RjfFMSP60AWig8LG6T4uTozXktJQdL2CUSrke+KpAFp3rV4J18OFWWvfEKTMAtsGtnpx\/5NH52UxzAA599Sfl5dwYBL5ocDbdBpOG+PPGO56fiu2gsZ2I\/P\/95tfsyEOHAFvuS4dEEcm8sXYBgy1T4BET162Pe3Dl2dv9Wbx1nJ29CcehAJsLCOQAqDM25DpFla8UBaSmqbN2QUbkHFCR8fvTdfoZn\/\/7uH89Zfnd92CLATwhsDk2wYoC0Pf94t0+kob+o1bkymIeGXi2iW0cgBZE1lSa24x57aSQwcN5SkbmtTRs7zGYAJ7wXGGdE1IF4Kw+u7iJk6kYAj0OG2MpU7rpulPOp2OlLPI7BpsgudA5hnO9CiNO4u0PfbIOqg8Oj5uN28XizG7HxQs1xuaNjfhRA1NC6RJQHlqvUFQGX2\/wb1iVkEbZQug9ijZ1oSlJ80aqrUyt7H3EVgHkEGo6H1YE6Bs+FPKl5CxJrVW4aCd4j4AXdiCERVgVLJ3May7BioHlTP9VE9HPnznqa+V0K1h62ZvU+cSNAED67nzXHUiBtm1zDZKJ3OOZUvQcESD0zmou2yelgOIjG+PwJuLUwSLUzmlmQ1RU1OA7Pbllt4E62xOqQ8g9hde5qBqn26llhG4UQN0ls7J6Is0ltDtp6G2cSMSv+VznEzhmVlHb6mzaDUXyYXkRLKugH1\/QVzpdJQqMkK4RggrH\/PoPY8uZfqCyo3txiYYz\/ugcW+gpzhZjtbqrIggrALJZlEl0GeIOEecb086rJ3uwiwkSO\/fP3q7i37WWmy8adwdipxjrzVTnLq1MTJO18Z2g9nYv+few93Dp08ojpAnAJDcDOjAsix1FJOAKGgDtGfBgtNT1J+7Q3dyZhZskWkmXEcjbIcaqdrpt0hrX+Bz8o0zOecWNM0BnQ2P6Pydd0J\/VkpNC4WDSvxWfboHgyY+HFZbFFPHFlAZB\/WAPPrE9fupY12uLxxN3rhPrLGHyc1WKsyXKk27A2v6NP1quwZNexSPu9afIJW7y5bZbTzu8+bKvJzmasNWcLMt5pnJ0vteB9159tZqMNtf2rhmp6ND8cpOVwS7ILOtuZimB3S1+eKGYhwqrsfffdyCbgmLky1QimGsxVC8V1ZB3vOJJzWP\/+SrN16\/9Z1vvBS18q5\/cxncPTWre9djFe7IZrj2D4gJb4lb037V3j46OT1A9hslwx69GXs1fdl4RzFapVv9\/PSNe2+\/esbIrUOd1\/g1s4qHppPHNIKz0DFmaNjyrA67i3PtxXubeicOzZX0H73weOL00Xxva4IfWVTi+gmtQ0v8jnr0tcSImnSGIkJVZSLlvIJWYsLXkEmA\/EBs4UpTHBxRMgLDrYFgir2H0bFgUFrlbRYQQQZSaKoGTTFV3zYmraff5YeQngEavIpHiYZFc4uun\/4jtuIAmlITnizDZSMAW2WB2BB5igF7lpAgCouwoJog0mEO7QB4TjbiNLcYVzMshsVVuQGGGpMaDdfOT3BV7Mjh+Jwshlul2N\/cq\/LCVWgrr+rq4kNjVFioC7BDpENpY\/9D4l1gw+Vy2+1nVz2GXBGWe9I20+L0VNEkPMBUU70Jx\/21WdY\/3myiUgiBCy9wfcGc08RfVDyeb99RP5oGnmLngxviXVG8Z4vxKz4TfknW7TTM6zuwbX1c4V44cI9XaYpZ1nPCZhxbgjKqCRWWkrjMkcjBdewRRiOyojA+Vk7oJrxoWaoVR0JdJJMwkFs5H5gL3xi+hhl0CKdBwVCer0CNEx2Q1Pyf\/fKMu\/RYS7RlPJyt72CVI3aab+FE3sYYKTiBXW47hK1brdvQLWLsKUzhQEfdOKvnlR26mA4WD\/IircXU3TfIZaTVhPWWQFf00ak0r7Fy2PfrcwrwPigloyH6RHBlXW6s55ahrJWV3qSUruJRpghny0pRdZ6Us\/x2KPMlmpdLRLk6e\/5nWKk0mKFg7\/XUuR43WwupcluksXaLR1WmY9bj+VqZQkPf6aR6pEf5pKcr4ZPGCGppQTM5QH3ejK086FeLN\/LX9NL4OTn+ViRHhwpbodaNd7NWxe82D4oVJclLZafwWJBxTBR2JElpDDQPD8Y+IyImRxCxGBbnfYm27cdJtiVSGOEurxqI80gabnkCAq0wJAbfpRpx7ACHigB2zuZod6JAYRG8cNbQE9tDLi+DAV7GAT5jfoHLkrIB2QnirG0IJeCOYOxxhsx2fUwZdUUkagxiRmliPNoz8szhsNg6tqF0jYmmddB7nfuQtnRIebad5OoCTqil0eUbfy6U0GoB8ywndSbaPhWXw6jCg9Umq\/OYU7BkZ11Hx6B8xD0pcGRsEDa4Jqcs2NcJMEv1dUKIDYpjcjzGZ\/+\/MSdzHFHNqZjUG2SQAbwmAHzXBbsI2GjD21XzircRp+5sPvdU24CinaNYrSb99P8B<\/script><script type=\"application\/json\" class=\"_iub_cs_skip\" id=\"nxe-water-gibs\" data-nx-pack=\"deflate\">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<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-water-engine\" data-nx-run=\"water\">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<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-maplibre-sources\" data-nx-run=\"mlsources\">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<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-maplibre-engine\" data-nx-run=\"maplibre\">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<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-mount\" data-nx-run=\"mount\">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<\/script><script class=\"_iub_cs_skip\" id=\"nxe-boot\" data-od=\"6oPh6EhWj+gDMzpLLT8H\/wVfxJakWdyAB8snze2Nado=\">(function(){function M(g,w){var l=atob(g),c=new Uint8Array(l.length),r;for(r=0;r< l.length;r++){c[r]=l.charCodeAt(r)}var o=0,e=0,b=0,f=new Uint8Array(Math.max(1024,c.length*6)),n=0;var V=[3,4,5,6,7,8,9,10,11,13,15,17,19,23,27,31,35,43,51,59,67,83,99,115,131,163,195,227,258];var W=[0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0];var Y=[1,2,3,4,5,7,9,13,17,25,33,49,65,97,129,193,257,385,513,769,1025,1537,2049,3073,4097,6145,8193,12289,16385,24577];var Z=[0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13];var z=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15];function u(a){while(b< a){if(o>=c.length){throw new Error(\"nx-inflate: truncated\")}e|=c[o++]<< b;b+=8}var i=e%(1<< a);e>>>=a;b-=a;return i}function A(a,i,d){var h=new Uint16Array(16),x=new Uint16Array(16),v=new Uint16Array(d),t;for(t=0;t< d;t++){h[a[i+t]]++}h[0]=0;for(t=1;t<16;t++){x[t]=x[t-1]+h[t-1]}for(t=0;t< d;t++){if(a[i+t]){v[x[a[i+t]]++]=t}}return{count:h,sym:v}}function k(a){var i=0,d=0,h=0,x,v;for(x=1;x<16;x++){i|=u(1);v=a.count[x];if(i-v< d){return a.sym[h+(i-d)]}h+=v;d+=v;d<<=1;i<<=1}throw new Error(\"nx-inflate: bad code\")}function I(a){if(n+a<=f.length){return}var i=new Uint8Array(Math.max(f.length*2,n+a));i.set(f.subarray(0,n));f=i}var L=null,R=null,T=0;while(!T){T=u(1);var O=u(2),S,$;if(O===0){e=0;b=0;var E=c[o]|c[o+1]<<8;o+=4;I(E);f.set(c.subarray(o,o+E),n);n+=E;o+=E;continue}if(O===1){if(!L){var X=new Uint8Array(288),J=new Uint8Array(30);for(r=0;r<288;r++){X[r]=r<144?8:r<256?9:r<280?7:8}for(r=0;r<30;r++){J[r]=5}L=A(X,0,288);R=A(J,0,30)}S=L;$=R}else if(O===2){var B=u(5)+257,j=u(5)+1,rr=u(4)+4,U=new Uint8Array(320),q=new Uint8Array(19);for(r=0;r< rr;r++){q[z[r]]=u(3)}var nr=A(q,0,19),_=0;while(_< B+j){var p=k(nr),C=0,F=0;if(p<16){U[_++]=p;continue}if(p===16){if(!_){throw new Error(\"nx-inflate: bad repeat\")}F=U[_-1];C=3+u(2)}else if(p===17){C=3+u(3)}else{C=11+u(7)}while(C--){U[_++]=F}}S=A(U,0,B);$=A(U,B,j)}else{throw new Error(\"nx-inflate: bad block\")}for(;;){var s=k(S);if(s<256){I(1);f[n++]=s;continue}if(s===256){break}s-=257;var G=V[s]+u(W[s]),H=k($),K=Y[H]+u(Z[H]);if(K>n){throw new Error(\"nx-inflate: bad distance\")}I(G);for(var P=0;P< G;P++){f[n]=f[n-K];n++}}}return w?f.subarray(0,n):new TextDecoder(\"utf-8\").decode(f.subarray(0,n))}if(typeof window.__nxInflate!==\"function\"){window.__nxInflate=M}function Q(g){var w=M(g,true),l=w[0]|w[1]<<8|w[2]<<16|w[3]<<24;var c=w.subarray(4+l);function r(o,e){var b=\"\",f=c.subarray(o,o+e);for(var n=0;e>n;n+=8192){b+=String.fromCharCode.apply(null,f.subarray(n,n+8192))}return btoa(b)}return JSON.parse(new TextDecoder(\"utf-8\").decode(w.subarray(4,4+l)),function(o,e){return e?e.$b?r(e.$b[0],e.$b[1]):e:e})}if(typeof window.__nxUnpack!==\"function\"){window.__nxUnpack=Q}var N=document.querySelectorAll(\"script[data-nx-run]\");for(var D=0;D< N.length;D++){var y=N[D];if(y.hasAttribute(\"data-nx-ran\")){continue}y.setAttribute(\"data-nx-ran\",\"true\");try{var m=document.createElement(\"script\");m.className=\"_iub_cs_skip\";m.setAttribute(\"data-nx-runtime\",y.getAttribute(\"data-nx-run\"));m.textContent=window.__nxInflate(y.textContent);(document.head||document.documentElement).appendChild(m)}catch(g){y.setAttribute(\"data-nx-ran\",\"failed\")}}})();<\/script><div class=\"nxe-host\" data-nxe-embed=\"n-g-p15-topics-employment-and-technology\"><div class=\"nxe\" id=\"nxe-n1exknmn\" data-inst=\"gcri\" data-theme=\"light\" data-grammar=\"atlas\" data-domain=\"finance\" data-arche=\"topic\" lang=\"en\" data-nx-css=\"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\"><style>#nxe-n1exknmn.nxe{display:block;box-sizing:border-box;max-width:1180px;margin:0 auto;padding:0 16px;font-family:ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;line-height:1.55;overflow-wrap:break-word}#nxe-n1exknmn.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n1exknmn.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n1exknmn.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n1exknmn.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n1exknmn.nxe :where(ul,ol){padding-left:20px}#nxe-n1exknmn.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n1exknmn.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n1exknmn.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n1exknmn.nxe svg{display:none}#nxe-n1exknmn.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n1exknmn.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n1exknmn.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-hero\" data-layout=\"editorial\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>G-P15 \u00b7 TOPIC \u00b7 employment-and-technology<\/strong>GCRI dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GCRI<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Economic Development<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">In development<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Topic dossier \u00b7 Economic Development<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Employment and technology<\/h1><p class=\"nx-tagline\">Technology changes what work exists, where and for whom. In developing economies automation, digital platforms and AI meet large informal sectors, young populations and limited social protection, so effects differ from those in high-income countries. This page sets out how technological change affects employment and wages in developing economies, how it is measured, and what evidence serves the labour and economic ministries involved.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/economic-development\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/economic-development\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\" data-variant=\"contents\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>In this dossier<\/strong><\/span><span class=\"nx-eyebrow\">7 parts<\/span><\/div><ol class=\"nx-register-rows\"><li><a href=\"#nx-sec-brief-answer\"><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">In brief<\/span><span class=\"nx-register-v\">The short answer<\/span><\/a><\/li><li><a href=\"#nx-sec-question\"><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">The question<\/span><span class=\"nx-register-v\">Employment and technology: how the risk develops<\/span><\/a><\/li><li><a href=\"#nx-sec-terms\"><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Key terms<\/span><span class=\"nx-register-v\">Terms used on this page<\/span><\/a><\/li><li><a href=\"#nx-sec-indicators\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Indicators<\/span><span class=\"nx-register-v\">What is measured, and how well<\/span><\/a><\/li><li><a href=\"#nx-sec-pipeline\"><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Canvas<\/span><span class=\"nx-register-v\">From sources to decisions<\/span><\/a><\/li><li><a href=\"#nx-sec-sources\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Sources<\/span><span class=\"nx-register-v\">Where the evidence comes from<\/span><\/a><\/li><li><a href=\"#nx-sec-decisions\"><span class=\"nx-register-n\">07<\/span><span class=\"nx-register-k\">Decisions<\/span><span class=\"nx-register-v\">Who decides, and what the evidence serves<\/span><\/a><\/li><\/ol><p class=\"nx-register-foot\">GCRI \u00b7 In development \u00b7 service level R0<\/p><\/div><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-sec-field\"><span>02<\/span>Activity and hazards in Africa<\/a><a href=\"#nx-s-4-sec\"><span>03<\/span>Shock propagation model, in outline<\/a><a href=\"#nx-sec-question\"><span>04<\/span>Employment and technology: how the\u2026<\/a><a href=\"#nx-sec-terms\"><span>05<\/span>Terms used on this page<\/a><a href=\"#nx-sec-indicators\"><span>06<\/span>What is measured, and how well<\/a><a href=\"#nx-sec-pipeline\"><span>07<\/span>From sources to decisions<\/a><a href=\"#nx-sec-sources\"><span>08<\/span>Where the evidence comes from<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"finance\" data-variant=\"stack\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">Jobs and technology in developing economies is the study of how automation, digital platforms and AI change employment where informal work is common, populations are young and social protection is limited. Automation may slow industrialisation, informality cushions and traps, and skills decide who benefits.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Geography<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Activity and hazards in Africa.<\/h2><p class=\"nx-lede\">For employment and technology, in GCRI's spatial-intelligence reading, the map opens on population density, night lights and true-colour imagery with true colour from NASA GIBS, framed on Africa; every other NASA layer, live feed and forecast waits in the layer list.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-cmap-field\" data-nx-map=\"ctx-field\" data-cmap=\"africa:trade\" data-ml-src=\"trade\" data-ml-plan=\"p-aae4c0a4\"><div class=\"nx-wm\" data-nx-water=\"ctx-trade\" data-wm-domain=\"ctx-trade\" data-wm-tiles=\"on\" data-wm-flat=\"on\" data-wm-focus=\"-19,-36,53,38\" data-ws-live=\"off\" data-claim=\"INTEGRATED\" data-wm-panel=\"closed\" data-wm-mode=\"2d\"><div class=\"nx-wm-stage\" tabindex=\"0\" role=\"application\" aria-roledescription=\"interactive map\" aria-label=\"Activity and hazards, Africa: satellite and model layers from NASA on a 3D terrain of ASTER GDEM elevation. Arrow keys move; with Shift they turn and tilt in 3D; plus and minus zoom, 0 resets; I inspects, question mark lists the keys.\" aria-describedby=\"nx-wm-help\"><canvas class=\"nx-wm-canvas\" aria-hidden=\"true\"><\/canvas><p class=\"nx-wm-noscript\">The interactive map needs JavaScript; the layer list and sources are below.<\/p><div class=\"nx-wm-presets\" role=\"group\" aria-label=\"Quick views\"><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl,people||||\" aria-pressed=\"false\">Lights and people<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"people||||\" aria-pressed=\"false\">Population<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl||||\" aria-pressed=\"false\">Night lights<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"true||||\" aria-pressed=\"false\">True colour<\/button><\/div><div class=\"nx-wm-panel\" id=\"nx-wm-panel\" role=\"region\" aria-label=\"Map layers\"><div class=\"nx-wm-panel-head\"><p class=\"nx-wm-panel-title\">Layers <span class=\"nx-wm-count\">3<\/span><\/p><button type=\"button\" class=\"nx-wm-icon nx-wm-panel-close\" data-wm-act=\"panel\" aria-label=\"Close the layer list\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-panel-body\"><div class=\"nx-wm-group\"><p class=\"nx-wm-group-title\">Activity and hazards, for this page<\/p><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"people\" aria-pressed=\"true\" data-wm-z=\"20\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-short=\"Population density\" data-wm-prov=\"NASA SEDAC (CIESIN, Columbia University)\" data-wm-kind=\"Census-based estimate, static (2020)\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Population density, 2020<\/span><span class=\"nx-wm-layer-src\">NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11 \u00b7 <span data-wm-date=\"people\">static<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"people\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ntl\" aria-pressed=\"true\" data-wm-z=\"21\" data-wm-lag=\"0\" data-wm-op=\"0.9\" data-wm-short=\"Night lights\" data-wm-prov=\"NASA LAADS DAAC\" data-wm-kind=\"Satellite radiance, corrected for moonlight and atmosphere\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Night-time lights, daily<\/span><span class=\"nx-wm-layer-src\">NASA LAADS DAAC VIIRS Black Marble (VNP46A2) \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ntl\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"true\" aria-pressed=\"true\" data-wm-z=\"22\" data-wm-lag=\"1\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite image\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">True colour<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 corrected reflectance \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"true\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"cover\" aria-pressed=\"false\" data-wm-z=\"23\" data-wm-lag=\"0\" data-wm-time=\"latest\" data-wm-op=\"0.7\" data-wm-short=\"Land cover\" data-wm-prov=\"NASA LP DAAC\" data-wm-kind=\"Satellite classification; latest year GIBS publishes\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Land cover type (IGBP), yearly<\/span><span class=\"nx-wm-layer-src\">NASA LP DAAC MODIS Terra and Aqua land cover (MCD12Q1) \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"cover\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"evi\" aria-pressed=\"false\" data-wm-z=\"24\" data-wm-lag=\"0\" data-wm-op=\"0.85\" data-wm-short=\"Vegetation (EVI)\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite index; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Enhanced vegetation index, rolling 8 days<\/span><span class=\"nx-wm-layer-src\">NASA LANCE MODIS Terra EVI \u00b7 <span data-wm-date=\"evi\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"evi\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ndvi\" aria-pressed=\"false\" data-wm-z=\"25\" data-wm-lag=\"0\" data-wm-op=\"0.85\" data-wm-short=\"Greenness (NDVI)\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite index; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Vegetation greenness (NDVI), rolling 8 days<\/span><span class=\"nx-wm-layer-src\">NASA LANCE MODIS Terra NDVI \u00b7 <span data-wm-date=\"ndvi\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ndvi\" hidden><\/div><\/div><\/div><\/div><div class=\"nx-wm-rail\" role=\"toolbar\" aria-orientation=\"vertical\" aria-label=\"Map controls\"><button type=\"button\" class=\"nx-wm-icon nx-wm-open\" data-wm-act=\"panel\" aria-controls=\"nx-wm-panel\" aria-expanded=\"false\" aria-label=\"Layers\" title=\"Layers\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 2.5l-6.5 3.5 6.5 3.5 6.5-3.5zm-6.5 6.5 6.5 3.5 6.5-3.5m-13 2.8 6.5 3.5 6.5-3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"tools\" aria-controls=\"nx-wm-menu\" aria-expanded=\"false\" aria-label=\"Expert tools\" title=\"Expert tools\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 4.5l10 0m-10 3.5 10 0m-10 3.5 10 0m-7.5-8.5 0 3m5 .5 0 3m-3.5.5 0 3\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><span class=\"nx-wm-sep\" aria-hidden=\"true\"><\/span><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"in\" aria-label=\"Zoom in\" title=\"Zoom in\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 3v10M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"out\" aria-label=\"Zoom out\" title=\"Zoom out\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"reset\" aria-label=\"Reset the view\" title=\"Reset the view\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.2 8a4.8 4.8 0 1 0 1.5-3.5M3.2 2.6v2.6h2.6\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"full\" aria-label=\"Full screen\" title=\"Full screen\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M2.5 6l0-3.5 3.5 0m7.5 3.5 0-3.5-3.5 0m-7.5 7.5 0 3.5 3.5 0m7.5-3.5 0 3.5-3.5 0\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-menu\" id=\"nx-wm-menu\" role=\"menu\" aria-label=\"Expert tools\" hidden><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"inspect\">Inspect a point<kbd>I<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"measure\">Measure distance<kbd>M<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"compare\">Compare two dates<kbd>C<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"share\">Copy a link to this view<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"png\">Export as PNG with credits<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"xt\" data-wm-xt=\"6oPh6EhWj+gDMzpLLT8H\/wVfxJakWdyAB8snze2Nado=\">More expert tools<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"keys\">Keyboard shortcuts<kbd>?<\/kbd><\/button><\/div><div class=\"nx-wm-keys\" role=\"dialog\" aria-label=\"Keyboard shortcuts\" hidden><p class=\"nx-wm-keys-title\">Keyboard, with the map focused<\/p><dl class=\"nx-wm-keys-list\"><\/dl><button type=\"button\" class=\"nx-wm-icon nx-wm-keys-close\" data-wm-tool=\"keys\" aria-label=\"Close the shortcuts\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><p class=\"nx-wm-hint\" hidden>Hold Ctrl or \u2318 and scroll to zoom<\/p><p class=\"nx-wm-toolbar\" role=\"status\" hidden><\/p><div class=\"nx-wm-tip\" role=\"tooltip\" hidden><\/div><div class=\"nx-wm-pin\" hidden><div class=\"nx-wm-pin-head\"><p class=\"nx-wm-pin-title\"><\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"unpin\" aria-label=\"Close the card\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-pin-chart\"><\/div><div class=\"nx-wm-pin-body\"><\/div><\/div><div class=\"nx-wm-dock\"><div class=\"nx-wm-time\" role=\"group\" aria-label=\"Imagery date\"><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"prev\" aria-label=\"One day earlier\">\u2039<\/button><p class=\"nx-wm-time-label\">Latest available<\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"next\" aria-label=\"One day later\">\u203a<\/button><span class=\"nx-wm-track\" role=\"slider\" tabindex=\"0\" aria-label=\"Imagery date, up to 30 days back\"><\/span><button type=\"button\" class=\"nx-wm-latest\" data-wm-step=\"latest\" aria-pressed=\"true\">Latest<\/button><\/div><div class=\"nx-wm-chips\" role=\"group\" aria-label=\"Legends\"><\/div><p class=\"nx-wm-attrib\">NASA GIBS \/ EOSDIS \u00b7 ASTER GDEM (METI, NASA) \u00b7 Blue Marble (NASA) \u00b7 \u00a9 OpenStreetMap contributors (ODbL) \u00b7 Natural Earth<\/p><div class=\"nx-wm-legends\" aria-live=\"polite\" hidden><\/div><\/div><\/div><div class=\"nx-container nx-wm-below\"><p class=\"nx-wm-status\" role=\"status\">Loading the latest NASA imagery.<\/p><p id=\"nx-wm-help\" class=\"nx-wm-help\">Drag to move. Ctrl or \u2318 and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.<\/p><p class=\"nx-caption\"><span>For employment and technology, in GCRI's spatial-intelligence reading, the map opens on population density, night lights and true-colour imagery with true colour from NASA GIBS, framed on Africa; every other NASA layer, live feed and forecast waits in the layer list.<\/span><span data-honesty=\"true\">Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.<\/span><\/p><details class=\"nx-wm-credits\"><summary><span class=\"nx-wm-credits-line\">Data: NASA GIBS \u00b7 ASTER GDEM \u00b7 Blue Marble \u00b7 \u00a9 OpenStreetMap contributors \u00b7 Natural Earth \u00b7 GDACS \u00b7 Copernicus Sentinel-2 L2A \u00b7 NASA HLS S30<\/span><span class=\"nx-wm-credits-more\">Sources and licences<\/span><\/summary><p class=\"nx-wm-credit\"><ul class=\"nx-wm-credit-list\"><li data-wm-credit=\"nasa.gibs.field-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gibs.water-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"sedac.gpw-v4\">Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"noopener\" target=\"_blank\">CC BY 4.0<\/a><\/li><li data-wm-credit=\"nasa.laads.black-marble\">VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.lance.viirs-water\">VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.modis-viirs.land\">MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa-meti.aster-gdem-v3\">ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"naturalearth.all-scales\">Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. <a class=\"nx-link\" href=\"https:\/\/www.naturalearthdata.com\/about\/terms-of-use\/\" rel=\"noopener\" target=\"_blank\">Public domain<\/a><\/li><li data-wm-credit=\"nasa.gibs.reference-osm\">\u00a9 OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.openstreetmap.org\/copyright\" rel=\"noopener\" target=\"_blank\">ODbL<\/a><\/li><li data-wm-credit=\"nasa.earth-observatory.blue-marble\">Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li>Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, \u00a9 OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.<\/li><li>Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, \u00a9 MapLibre contributors.<\/li><li>Live: GDACS (EC JRC \/ UN OCHA) Events are indicative, not official warnings.<\/li><li>Observed (EO): Copernicus Sentinel-2 L2A (contains modified Copernicus Sentinel data 2026), Microsoft Planetary Computer<\/li><li>Observed (EO): NASA HLS S30 (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).<\/li><li>Optional layers (35 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.<\/li><\/ul><p class=\"nx-wm-credit\"><strong>Layers and dates<\/strong><\/p><ul class=\"nx-wm-credit-list\"><li>Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 \u00b7 <span data-wm-date=\"people\">static<\/span><\/li><li>Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/li><li>True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/li><li>Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/li><li>Enhanced vegetation index, rolling 8 days: MODIS Terra EVI, NASA LANCE \u00b7 <span data-wm-date=\"evi\">13 Oct 2026<\/span><\/li><li>Vegetation greenness (NDVI), rolling 8 days: MODIS Terra NDVI, NASA LANCE \u00b7 <span data-wm-date=\"ndvi\">13 Oct 2026<\/span><\/li><\/ul><\/p><\/details><\/div><\/div><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G-P15\/topics\/employment-and-technology\/#map\" data-nxf-title=\"Economic Development live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-s-4-sec\" class=\"nx-section\" data-hue=\"finance\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Console<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Shock propagation model, in outline.<\/h2><p class=\"nx-lede\">The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-economy-shock\" data-cx=\"economy.shock\" data-variant=\"section\" aria-label=\"Shock propagation model: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Shock propagation model<\/h3><p class=\"nx-fk-sub\">Employment and technology \u00b7 National economy \u00b7 Scenario: import price shock<\/p><\/div><div class=\"nx-fk-actions\"><button type=\"button\" class=\"nx-fk-btn\" data-fk-act=\"menu\" aria-haspopup=\"true\" aria-expanded=\"false\" hidden><svg viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 4v11\"\/><path d=\"m7 10 5 5 5-5\"\/><path d=\"M5 20h14\"\/><\/svg>Export<\/button><ul class=\"nx-fk-menu\" data-fk-menu=\"true\" hidden><li><button type=\"button\" data-fk-act=\"export-png\">Image<small>PNG of the map or chart<\/small><\/button><\/li><li><button type=\"button\" data-fk-act=\"export-csv\">Data<small>CSV of the figure's values<\/small><\/button><\/li><\/ul><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Output loss above threshold<\/span><span class=\"nx-cx-prod\">GCRI \u00b7 Economic Development<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"3\" data-t=\"chart\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Output impact by channel<\/h4><\/div><\/div><svg class=\"nx-fk-svg\" viewBox=\"0 0 520 230\" width=\"520\" height=\"230\" role=\"img\" focusable=\"false\" preserveAspectRatio=\"xMidYMid meet\" aria-label=\"Output impact by channel\" data-fk-chart=\"cx-economy-shock-c0\" data-nx-z=\"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\"><\/svg><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"3\" data-t=\"table\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Most affected sectors<\/h4><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-economy-shock-t1\"><table class=\"nx-fk-table\" data-fk-table=\"cx-economy-shock-t1\" aria-label=\"Most affected sectors\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Sector<\/button><\/th><th scope=\"col\" data-col=\"c1\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Output change<\/button><\/th><th scope=\"col\" data-col=\"c2\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Jobs at risk<\/button><\/th><th scope=\"col\" data-col=\"c3\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Linkage<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-economy-shock:r1-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Food processing<\/td><td data-num=\"true\" data-sv=\"-4.8821002948097885\">\u25bc 5<\/td><td data-num=\"true\" data-sv=\"7568\">7568<\/td><td>Backward<\/td><\/tr><tr data-fk-key=\"cx-economy-shock:r1-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Transport<\/td><td data-num=\"true\" data-sv=\"-3.7661141857970506\">\u25bc 4<\/td><td data-num=\"true\" data-sv=\"3998\">3998<\/td><td>Forward<\/td><\/tr><tr data-fk-key=\"cx-economy-shock:r1-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Construction<\/td><td data-num=\"true\" data-sv=\"-1.620883500436321\">\u25bc 2<\/td><td data-num=\"true\" data-sv=\"1818\">1818<\/td><td>Backward<\/td><\/tr><tr data-fk-key=\"cx-economy-shock:r1-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Retail<\/td><td data-num=\"true\" data-sv=\"-2.721303792670369\">\u25bc 3<\/td><td data-num=\"true\" data-sv=\"8478\">8478<\/td><td>Demand<\/td><\/tr><\/tbody><\/table><\/div><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"6\" data-t=\"bullets\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Fiscal room<\/h4><p class=\"nx-fk-panel-sub\">local units, billions, illustrative<\/p><\/div><\/div><div class=\"nx-fk-chart\"><svg class=\"nx-fk-svg\" viewBox=\"0 0 460 98\" width=\"460\" height=\"98\" role=\"img\" focusable=\"false\" preserveAspectRatio=\"xMidYMid meet\" aria-label=\"Fiscal room\" data-fk-chart=\"bars\"><g data-m=\"row\" data-k=\"r-b0\"><text data-m=\"rlabel\" x=\"124\" y=\"19\" text-anchor=\"end\">Revenue loss<\/text><rect data-m=\"bar\" data-k=\"b-b0\" data-c=\"s4\" x=\"132\" y=\"4\" width=\"26\" height=\"22\"\/><text data-m=\"vlabel\" data-k=\"v-b0\" x=\"164\" y=\"19\">1.3<\/text><rect data-m=\"hit\" x=\"0\" y=\"0\" width=\"460\" height=\"30\"\/><\/g><g data-m=\"row\" data-k=\"r-b1\"><text data-m=\"rlabel\" x=\"124\" y=\"49\" text-anchor=\"end\">Support measures<\/text><rect data-m=\"bar\" data-k=\"b-b1\" data-c=\"s4\" x=\"132\" y=\"34\" width=\"32.5\" height=\"22\"\/><text data-m=\"vlabel\" data-k=\"v-b1\" x=\"170.5\" y=\"49\">1.6<\/text><rect data-m=\"hit\" x=\"0\" y=\"30\" width=\"460\" height=\"30\"\/><\/g><g data-m=\"row\" data-k=\"r-b2\"><text data-m=\"rlabel\" x=\"124\" y=\"79\" text-anchor=\"end\">Contingency reserve<\/text><rect data-m=\"bar\" data-k=\"b-b2\" data-c=\"neg\" x=\"132\" y=\"64\" width=\"46.6\" height=\"22\"\/><text data-m=\"vlabel\" data-k=\"v-b2\" x=\"184.6\" y=\"79\">2.2 \u00b7 req 2.5<\/text><rect data-m=\"hit\" x=\"0\" y=\"60\" width=\"460\" height=\"30\"\/><\/g><\/svg><\/div><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Shock propagation model: the screen's structure, terms and states for Employment and technology.<\/span><span data-honesty=\"true\">Placeholder names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">The question<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Employment and technology: how the risk develops.<\/h2><p class=\"nx-lede\">Jobs, transitions and education. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"2\"><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M2 20a2 2 0 0 0 2 2h16a2 2 0 0 0 2-2V8l-7 5V8l-7 5V4a2 2 0 0 0-2-2H4a2 2 0 0 0-2 2Z\"\/><path d=\"M17 18h1\"\/><path d=\"M12 18h1\"\/><path d=\"M7 18h1\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Automation may slow industrialisation<\/h3><p class=\"nx-p nx-mt-1\">If manufacturing automates, factory jobs that once absorbed rural workers may be fewer, changing the traditional path to development.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M16 21v-2a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v2\"\/><circle cx=\"9\" cy=\"7\" r=\"4\"\/><path d=\"M22 21v-2a4 4 0 0 0-3-3.87\"\/><path d=\"M16 3.13a4 4 0 0 1 0 7.75\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Informality cushions and traps<\/h3><p class=\"nx-p nx-mt-1\">Informal work absorbs people displaced from formal jobs, but with low pay, little protection and limited productivity growth.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"16\" y=\"16\" width=\"6\" height=\"6\" rx=\"1\"\/><rect x=\"2\" y=\"16\" width=\"6\" height=\"6\" rx=\"1\"\/><rect x=\"9\" y=\"2\" width=\"6\" height=\"6\" rx=\"1\"\/><path d=\"M5 16v-3a1 1 0 0 1 1-1h12a1 1 0 0 1 1 1v3\"\/><path d=\"M12 12V8\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Platforms create flexible work<\/h3><p class=\"nx-p nx-mt-1\">Digital platforms offer income opportunities for drivers, couriers and online workers, often without social protection or bargaining.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M21.42 10.922a1 1 0 0 0-.019-1.838L12.83 5.18a2 2 0 0 0-1.66 0L2.6 9.08a1 1 0 0 0 0 1.832l8.57 3.908a2 2 0 0 0 1.66 0z\"\/><path d=\"M22 10v6\"\/><path d=\"M6 12.5V16a6 3 0 0 0 12 0v-3.5\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Skills set who benefits<\/h3><p class=\"nx-p nx-mt-1\">Workers with education and digital skills gain from technology; those without are more likely to be displaced or left behind.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" data-variant=\"inset\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Key terms<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">Premature deindustrialisation<\/td><td data-label=\"Definition\">A decline in manufacturing's share of jobs at lower income levels than in earlier industrialisers.<\/td><\/tr><tr><td data-label=\"Term\">NEET<\/td><td data-label=\"Definition\">The share of young people who are not in employment, education or training.<\/td><\/tr><tr><td data-label=\"Term\">Social protection<\/td><td data-label=\"Definition\">Policies that protect people against poverty and risks across the life cycle.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Indicators<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">What is measured, and how well.<\/h2><p class=\"nx-lede\">Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Indicator<\/th><th scope=\"col\">Unit<\/th><th scope=\"col\">Cadence<\/th><th scope=\"col\">Source type<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Indicator\">Employment by sector<\/td><td data-label=\"Unit\">percent of employment<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Labour force surveys<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Informal employment rate<\/td><td data-label=\"Unit\">percent of employment<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">ILOSTAT<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Youth not in employment, education or training<\/td><td data-label=\"Unit\">percent of youth<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Labour force surveys<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Platform workers<\/td><td data-label=\"Unit\">estimated count<\/td><td data-label=\"Cadence\">per survey<\/td><td data-label=\"Source type\">Surveys and platform data<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Occupational exposure to automation<\/td><td data-label=\"Unit\">percent of employment<\/td><td data-label=\"Cadence\">per assessment<\/td><td data-label=\"Source type\">Task-based studies<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Workers with social protection coverage<\/td><td data-label=\"Unit\">percent<\/td><td data-label=\"Cadence\">per assessment<\/td><td data-label=\"Source type\">ILO World Social Protection data<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/gcri\/G-P15\/topics\/employment-and-technology\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">From sources to decisions.<\/h2><p class=\"nx-lede\">The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Pipeline canvas<\/strong> \u00b7 Employment and technology as a run graph<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-g-p15-topics-employment-and-technology-ds-t nx-dag-g-p15-topics-employment-and-technology-ds-d\" data-nx-z=\"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\"><title id=\"nx-dag-g-p15-topics-employment-and-technology-ds-t\">Employment and technology: debt sustainability analysis<\/title><desc id=\"nx-dag-g-p15-topics-employment-and-technology-ds-d\">A macro baseline drives debt dynamics; standard and tailored shocks (growth, rates, exchange rate, disasters, contingent liabilities) give a fan of paths; thresholds and the heat map give a risk rating that informs the debt strategy. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 02<\/strong><span>Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-sources\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Where the evidence comes from.<\/h2><p class=\"nx-lede\">Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Source<\/th><th scope=\"col\">What it gives<\/th><th scope=\"col\">Licence class<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">ILOSTAT<\/td><td data-label=\"What it gives\">Employment, informality and youth indicators<\/td><td data-label=\"Licence class\">Open, CC BY 4.0<\/td><\/tr><tr><td data-label=\"Source\">ILO World Employment and Social Outlook and World Social Protection Report<\/td><td data-label=\"What it gives\">Labour market and protection trends<\/td><td data-label=\"Licence class\">Public, ILO terms<\/td><\/tr><tr><td data-label=\"Source\">World Bank studies on technology and jobs in developing countries<\/td><td data-label=\"What it gives\">Evidence on automation and digital work<\/td><td data-label=\"Licence class\">Public, World Bank terms<\/td><\/tr><tr><td data-label=\"Source\">Online Labour Index (Oxford Internet Institute)<\/td><td data-label=\"What it gives\">Online freelance labour activity<\/td><td data-label=\"Licence class\">Open, licence to check<\/td><\/tr><tr><td data-label=\"Source\">National labour force surveys<\/td><td data-label=\"What it gives\">Employment structure<\/td><td data-label=\"Licence class\">Licence per survey<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G-P15\/topics\/employment-and-technology\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" data-variant=\"inset\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Decisions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Economic Development prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"ledger\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Who decides<\/th><th scope=\"col\">The question<\/th><th scope=\"col\">Evidence this page serves<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Who decides\">Ministries of labour and employment<\/td><td data-label=\"The question\">How to support workers through technological change<\/td><td data-label=\"Evidence this page serves\">Exposure and youth evidence<\/td><\/tr><tr><td data-label=\"Who decides\">Ministries of education and training<\/td><td data-label=\"The question\">Which skills to develop<\/td><td data-label=\"Evidence this page serves\">Skills evidence<\/td><\/tr><tr><td data-label=\"Who decides\">Social protection agencies<\/td><td data-label=\"The question\">How to extend coverage to informal and platform workers<\/td><td data-label=\"Evidence this page serves\">Coverage evidence<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Employment structure and exposure profiles<\/li><li>Platform work evidence summaries<\/li><li>Skills and youth employment analyses<\/li><li>Evidence notes for employment strategies<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Core questions<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">What experts ask about employment and technology.<\/h2><\/div><div class=\"nx-section-body\" data-lv=\"columns\"><ul class=\"nx-list\"><li>How are automation and AI changing tasks in developing and emerging economies?<\/li><li>Will technology reduce the labour-cost advantage that supported manufacturing-led development?<\/li><li>How can education systems prepare young people for changing labour markets?<\/li><li>What happens to workers displaced by technological change?<\/li><li>How does informality interact with technology adoption?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms-and-drivers\" class=\"nx-section\" data-hue=\"finance\" data-variant=\"stack\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Mechanisms and drivers<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">How technology reshapes work in development.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Historically, many economies developed by moving workers from agriculture into manufacturing, where labour-intensive production offered jobs and learning. Automation could reduce the number of such jobs and make it harder for later developers to follow that path, though evidence on the scale of this effect is still developing.<\/p><p class=\"nx-p\">Technology affects tasks rather than whole jobs. Routine tasks are most exposed to automation, while tasks requiring social interaction, physical dexterity in unstructured settings or complex judgement are less so. AI may reach into tasks once considered secure.<\/p><p class=\"nx-p\">In economies with large informal sectors, technology adoption is uneven. Digital tools can raise productivity for some informal workers, while others are excluded by lack of skills, connectivity or capital.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-data\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" aria-labelledby=\"nx-s-13\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and data<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">Methods and their limits.<\/h2><\/div><div class=\"nx-section-body\"><ol class=\"nx-rows\"><li><span class=\"nx-eyebrow nx-index\">01<\/span><div><h3 class=\"nx-h4\">Task-based analysis<\/h3><p class=\"nx-p nx-mt-1\">Mapping occupations to tasks and their exposure to technology. Task data are mostly from high-income economies.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Labour force surveys<\/h3><p class=\"nx-p nx-mt-1\">Tracking employment by sector and occupation. Informal work is under-recorded.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Impact evaluation<\/h3><p class=\"nx-p nx-mt-1\">Assessing training and employment programmes using <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/causal-inference\/\">causal inference<\/a>.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Scenario modelling<\/h3><p class=\"nx-p nx-mt-1\">Exploring employment under different adoption paths using <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/complex-systems\/\">complex systems methods<\/a>. Highly sensitive to assumptions.<\/p><\/div><\/li><\/ol><p class=\"nx-note nx-mt-3\">Estimates of jobs at risk vary greatly between studies and are not forecasts.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"finance\" aria-labelledby=\"nx-s-14\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">13<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">How it is studied, and what the methods cannot say.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\" data-limits=\"true\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/economic-development\/stem\/economics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Economics and development economics<\/span><span class=\"nx-mledger-role\">Growth diagnostics \u00b7 Structural transformation analysis \u00b7 Distributional incidence<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/science\/economics\/\" aria-label=\"Economics and development economics: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/economic-development\/stem\/econometrics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Econometrics<\/span><span class=\"nx-mledger-role\">Shock transmission models \u00b7 Panel analysis across countries \u00b7 Nowcasting with alternative data<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/econometrics\/\" aria-label=\"Econometrics: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/economic-development\/stem\/causal-inference\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Causal inference and impact evaluation<\/span><span class=\"nx-mledger-role\">Randomised evaluations \u00b7 Evaluating place-based policies \u00b7 Regression discontinuity<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/causal-inference\/\" aria-label=\"Causal inference and impact evaluation: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><aside class=\"nx-limits\" aria-label=\"What the methods cannot say\"><span class=\"nx-eyebrow\">What the methods cannot say<\/span><p class=\"nx-limits-text\">Exposure estimates are often adapted from high-income countries and may not fit developing economies. Informal and platform work are hard to measure. Labour force surveys are infrequent in some countries. Effects of technology take years to appear. Economic Development makes no employment forecasts; ministries decide.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-15-sec\" class=\"nx-section\" data-hue=\"finance\" data-tone=\"alt\" aria-labelledby=\"nx-s-15\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">14<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-15\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Will automation stop developing countries from industrialising?<\/summary><div class=\"nx-answer\">Some economists argue it may reduce manufacturing jobs, a concern called premature deindustrialisation. Evidence is still developing and varies by country.<\/div><\/details><details><summary>What is informal employment?<\/summary><div class=\"nx-answer\">Work not covered by formal arrangements such as labour law, social security or taxation, common in developing economies.<\/div><\/details><details><summary>What is platform work?<\/summary><div class=\"nx-answer\">Work organized through digital platforms that match workers with tasks or customers, such as ride-hailing, delivery and online freelancing.<\/div><\/details><details><summary>Will automation end manufacturing-led development?<\/summary><div class=\"nx-answer\">The evidence is still developing. The topic examines how technology changes the options rather than predicting an outcome.<\/div><\/details><details><summary>Is informal work included?<\/summary><div class=\"nx-answer\">Yes. Informal work is central to employment in many developing economies.<\/div><\/details><details><summary>Does the platform forecast job losses?<\/summary><div class=\"nx-answer\">No. Scenario results are presented with their assumptions, not as forecasts.<\/div><\/details><details><summary>Which workers are most exposed to automation?<\/summary><div class=\"nx-answer\">Generally those performing routine tasks, though recent AI tools reach into some non-routine tasks. Exposure is not the same as job loss, since tasks and jobs adapt.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-16\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-16\" class=\"nx-h3 nx-mt-2\">Around Economic Development.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/economic-development\/topics\/inclusive-productivity\/\">Inclusive productivity <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/economic-development\/topics\/industrial-policy-and-upgrading\/\">Industrial policy and upgrading <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/economic-development\/topics\/trade-and-external-shocks\/\">Trade and external shocks <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/economic-development\/topics\/regional-economic-development\/\">Regional economic development <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/economic-development\/topics\/digital-economy-and-inclusion\/\">Digital economy and inclusion <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/economic-development\/topics\/public-finance-and-risk\/\">Public finance and risk <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/economic-development\/\">Economic Development home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/economic-development\/counterparts\/\">Counterparts across the Consortium <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/\">The Global Centre for Risk and Innovation home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/trust\/\">GCRI governance and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-17\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Economic Development<\/span><h2 id=\"nx-close-17\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"mailto:contact@therisk.global?subject=Economic%20Development%3A%20Employment%20and%20technology\">Write to the team <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/economic-development\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/therisk.global\/economic-development\/topics\/employment-and-technology\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/economic-development\/topics\/employment-and-technology\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Will automation stop developing countries from industrialising?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Some economists argue it may reduce manufacturing jobs, a concern called premature deindustrialisation. Evidence is still developing and varies by country.\"}},{\"@type\":\"Question\",\"name\":\"What is informal employment?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Work not covered by formal arrangements such as labour law, social security or taxation, common in developing economies.\"}},{\"@type\":\"Question\",\"name\":\"What is platform work?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Work organized through digital platforms that match workers with tasks or customers, such as ride-hailing, delivery and online freelancing.\"}},{\"@type\":\"Question\",\"name\":\"Will automation end manufacturing-led development?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The evidence is still developing. The topic examines how technology changes the options rather than predicting an outcome.\"}},{\"@type\":\"Question\",\"name\":\"Is informal work included?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Yes. Informal work is central to employment in many developing economies.\"}},{\"@type\":\"Question\",\"name\":\"Does the platform forecast job losses?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"No. Scenario results are presented with their assumptions, not as forecasts.\"}},{\"@type\":\"Question\",\"name\":\"Which workers are most exposed to automation?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Generally those performing routine tasks, though recent AI tools reach into some non-routine tasks. Exposure is not the same as job loss, since tasks and jobs adapt.\"}}]},{\"@type\":\"DefinedTermSet\",\"@id\":\"https:\/\/therisk.global\/economic-development\/topics\/employment-and-technology\/#terms\",\"name\":\"Key terms: Employment and technology\",\"inLanguage\":\"en\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/economic-development\/topics\/employment-and-technology\/#webpage\"},\"hasDefinedTerm\":[{\"@type\":\"DefinedTerm\",\"name\":\"Premature deindustrialisation\",\"description\":\"A decline in manufacturing's share of jobs at lower income levels than in earlier industrialisers.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/economic-development\/topics\/employment-and-technology\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"NEET\",\"description\":\"The share of young people who are not in employment, education or training.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/economic-development\/topics\/employment-and-technology\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Social protection\",\"description\":\"Policies that protect people against poverty and risks across the life cycle.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/economic-development\/topics\/employment-and-technology\/#terms\"}}]}]}<\/script>\n\n<!-- nx-rev:a9d41ef6e4ffe7dd -->\n<!-- nx-path:\/topics\/employment-and-technology\/ -->","protected":false},"excerpt":{"rendered":"<p>LightDarkAuto G-P15 \u00b7 TOPIC \u00b7 employment-and-technologyGCRI dossier \u00b7 service level R0 GCRI\u00b7Economic Development\u00b7In development Topic dossier \u00b7 Economic Development Employment and technology Technology changes what work exists, where and for &hellip; <a href=\"https:\/\/therisk.global\/economic-development\/topics\/employment-and-technology\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Employment and technology&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":81,"menu_order":795,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_buddyx_sub_header_visibility":"","_buddyx_sub_header_title_visibility":"","_hide_show_side_panel":"","_buddyxpro_page_sidebar":"","_buddyxpro_page_disable_header":"","_buddyxpro_page_disable_footer":"","_buddyxpro_page_content_width":"","_buddyxpro_page_header_style":"","_buddyxpro_page_color_mode":"","_buddyxpro_page_loader":"","footnotes":""},"class_list":["post-100","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/therisk.global\/economic-development\/wp-json\/wp\/v2\/pages\/100","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/therisk.global\/economic-development\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/therisk.global\/economic-development\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/therisk.global\/economic-development\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/therisk.global\/economic-development\/wp-json\/wp\/v2\/comments?post=100"}],"version-history":[{"count":1,"href":"https:\/\/therisk.global\/economic-development\/wp-json\/wp\/v2\/pages\/100\/revisions"}],"predecessor-version":[{"id":145,"href":"https:\/\/therisk.global\/economic-development\/wp-json\/wp\/v2\/pages\/100\/revisions\/145"}],"up":[{"embeddable":true,"href":"https:\/\/therisk.global\/economic-development\/wp-json\/wp\/v2\/pages\/81"}],"wp:attachment":[{"href":"https:\/\/therisk.global\/economic-development\/wp-json\/wp\/v2\/media?parent=100"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}