{"id":104,"date":"2026-10-17T10:51:52","date_gmt":"2026-10-17T10:51:52","guid":{"rendered":"https:\/\/therisk.global\/ai-autonomous-systems\/?page_id=104"},"modified":"2026-10-21T14:00:17","modified_gmt":"2026-10-21T14:00:17","slug":"labour-and-social-effects","status":"publish","type":"page","link":"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/labour-and-social-effects\/","title":{"rendered":"Labour and social effects"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/ai-autonomous-systems\/topics\/labour-and-social-effects\/ \u00b7 source authored \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script type=\"application\/json\" class=\"_iub_cs_skip\" id=\"nxe-water-data\" 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RF8dXs8yU15m8ubA+35wIGQOLpdnTOHmZtcmk5y+mWSPZuDs2Psa0v59ai+3H5vK78fPCSl34LudxvTDQcpQJDibTToeNpdCUr51TMM6XquhsJIN6UyxLArVcUVjC7mZrO0h\/xde22U3NT\/zN6HsXeXN4Ui1IVO1JVVKHxuKluQq9tah5r9JAox+pKPtHlgmFd\/G6LeNkjVG9OJ0zAWzgwyhmOyBujIwQeoqorP5IMUBThdHZTRrG0HrEcGhxjaNw29wZuGfbYuxOPBwslG2PSbnHD6WV+SE27NyaFJjznOZRq4QLfHmqUyD60hHqohBXTa3XNoqrOuc3TgfDrrvdpTj0lRL3C9E+Bym3n1jhySitfr2CWu\/8bXyeErHYiZPNnsq5Y5GuDE3bcbC8a8CbfzNAJr2C+2X4a\/YQIw9KI\/Gn\/PpLs2tsKpIouznptl2rShoSATJ06fHEJIwe2jFg4aakIW7JGVTScKRFz42r1yYJp1DWBN6kH31tSIUVLHt343Fwe+wnuwjImH16QqLQXpPrea3uTSvutduxXeIeT1iJOykq\/ZPP0XUr6m\/89AS+ndv9HDjaK0KfYT8wdfmw6UVPuOVl\/FK\/7yZei+C\/biXXxLvz4+DEavSkWN3oQe2nrVWCo7oZeoo0fUnEK0AS7R0ejwWV589Wvit\/mt1jbfR6sBSxiPBO+jAPdcR\/sM3DTcXluOu4xzuuIBVyW7tg37YzHrj4XTsMHjsO\/zHJaXXqfepce9iBn3otLVOEAx6KEYrAddhhodH4gM60IL16NkVPGIKp793TN+J9tMuSBfvWCU3uIiP986F+GB0TjIr0D6f372Lm+rn1XevWgeBISwnwL5yzUt8c34dGPeI9hwn03GJWn+dJWvfPE4v6Xt\/oQrRGO0hCZEBXql\/atdWBEqTw12gQndUZQbIhXYF2\/qdzeW81PDcfXluknhXjDK4OCemjo1gxamZ8hxp7AWnMuF1fEY8Oz2C3AlEfzBrjwvEnJTs77tKHlMuht8HtxV6\/OYdPhcTGCz3X8bgtzVo2IY5mn59cl6+n7rCUsu8AWj6rO15uKTR0JjJxI70Bc2RLscaDezdws6D4VDHEG3EbYAXcMOXh0amq3n9w9Ng27WDoxvDMCPSbHBvj8OVjYJK0xvgBy90RZ1qRrOyB8FSZG+IaAQQ0w2DbA4+rh80TaolVNlAP2Cvyu98waGo7sGPVH6idi73ihCnl4zeqVivAbFWA65DqVZZSkCHBx3NGhlWHG6pPhNYacISLe9kLiPtFvm4d1qGim0n7+bjcJU9\/uYKGz\/HmWhsDQfZaAwNKfYJ9Z0A4WpSbGASRaKdZhmcTDkuz2NAxnWtjh6yEp2jDfWpjPKivyCFfP5T\/WTh07Yf8bV3xcoycoPmbFtZ2ZNWkcxhabUN2fWqtYJd1IndWfuqBgJdHVn70S6H+th4OuaMYddY9KQy9PYnbvK8YRVE3ke3b+gZ1RUSDHB\/zW9lot\/po8nwdP\/DezNba9+t+2Zr\/H32aGFXj5qkxbIOhO3DP7zj5hk5N61SsUk5Q+S0ubYhVJd\/DcSdboeq0PTiT5V2imDANYf4DIa8H2CH0OPwDAi4fAlrqokO5b7xVP4YppP66eyNOr\/s58ekmxAa2iU0059TlfzeXXQWicdaWoaX3a+fpsUE\/MRzVKuGM4EVtmPa8vo\/OYqdjT3p0lUxw\/p3YOedutNqVZfazYVypw7\/bJGX0PmnTiwFCboQcAjMTxEvyL9ow1\/ylDw5\/Rr7e\/iPE1y\/dcLfExKaOrzTc0YvRZPaWWgE4pHPwRJSC7fVTHdf6WxMfuFw8agWJ7B4jUQFCnjYZg\/d928n4anaqn2eRkQ3TjUICob\/IKzquwNSuL4+Wcar\/h9LLJQAR7US5qMU4PscsLpZTKGc40AE+VVhaM+CGe7QXeWQYxnJg9gQqxaJpWX9+9SyGLLi7JKwuf3Gn6oE0SbC4tT5MAZuiLBwQo8KiCzr2vfeL\/wlMg\/+W5ZU9I2t\/80g4tm+zM4LDc18nQbPTI8hdiEQUlW4mphLDYmQfOU4uHEdmk2a0KimaYmMdOMPRwURIfiNYnwd85bPXAMJH43FIjznWD\/NIvGQIxihI5w5geSOHgpgZzicYebs+8pHJhDSVQUIHPOwhluX5ZHmCaU6bvCoPF9EkKQnfR9M+MefO+CrZnecu3uIMh1iTcbhTq+WE0JtCSE2UjWDrb0LzmcqZJijSbB4a7QPv2QhZrQJS+qKQxlQ3WlDo5XRQ+k1Rcq5MqGb1rUZHF0xPSwfGhw+Dq6NvsKUbYXu56hYmbPbrhV5wQO3S\/k1zMZoekXMmRS7bBPu5PSQyjKMzznkkpD7rx5SfAstiuYbi1GxKdKNwEqZnORfv6grvPEZg8IT+aIKrye0gccJmUirYd4wmXEhm6wCVB0bDoxHkXKrkJB\/jZ0kfAj1+QKHT\/+PpxQIRGT2VLYCt9QH3hdSb0E68mpsjplD0ZRt3o3Hhh\/7eXWnUpdwZ77tgtlFfez5EjCqiWW8NuKrTNa9awe5u8EGcDdxB7QW\/q2dHbL8zU2YrIWKrQQxcbLBNCN081ggLTFzFEqqCPspwGMc2c2+Vq1FcxYjzNCKcO3u\/bTke4m2fMmz3ruuA7JfmuCnnOwo783RPdZXn1uEAi+r1rZk9vGtbcLjLynJpgq6\/sIvDLhqP2sa78a7B8fcgkBoQtlwGWQV6cJddFp8AHE1ezrefVVaAGN6F3Y3h1taG5y4svXJ\/Ppe1fDJsLEp2Gcy6l0LBUdgrc6lZKtomQ5Myg5KkqEc1MpuSpKjj+DkqeiRCRqKqWtitJ2Dsd9FSV\/Dsd3Kkq7ORw3DaVAGXN4bpo9wjmHllrQ7Tl8N5WibjpzOG8qhd10dXkvamsTg9nNLSm1p0ez37vlUXfErN2Efsp3EooWJo3Np7dgmh4nWZxkSYUl9KYCR9cQR3V7we0Pf6uCkP+gTnBPL8+rn1E8cxbKmiiWbKPJxYweNkb5GSWZiEgXDSHSRdqIdGwV35k4aDl7wjhykJqWblYD4temOO0QnsCgFtnCEdTwzaaIvdkUiUhTAxplX\/NFOPrB1mueS6nrojHlOodP8vcsNtYdzNLii3j3rP57n1Unmhjms70STzSinkSAMnV6QZo9OrKGUjcmZ3TE04XCM\/i0pv36tNQ27dvN+n3uNQnZNvcCArzgTZnmlRZgSvt2s0bHgAdSQWocjCKAIVfDfHTZjidddB4BCxTS1hgDqAcjzVYsM\/8C+yC4XBf\/538v\/it+u5aLf4SmFO9Phz5cFr\/Ov3Q\/bMZg2sVHnXSOsmWR0LvxQn\/lfF9DyAlg2NKEZHrJbJkvmBnNnRJreHZ+XPEVRw9xEgmkwEnG+Gm2fTP0WCDAwvj6hKoUlU3cIOtLAmxK+DkoTrQAIB1+DsLw75c+gp+DaqD3xTFAny3XXTf\/Ahrc6jDgCVZ9YnrNJ+1c2y+NLfwcRJfzfmmE8EMeoM3xCoK+t\/z+YCCRL70omwKvTPKPmld2BD8yr0ibjQFeGWvyo8el5mUlf2IEPwr+xA783AX5OcgyBvbz\/y2OaU8sMXm87p19kZBw84+JkDIt3xCyQzv6Ei6H1k3PJTipLiYEltuALR57yPTDE7tVORr5qL8YTl8c+aQmNrGKHACZiI1k8O0jgAxyoKUQTzk7oFLZTj5yl2utsNETMNkx7pmuOnjWn8g+EnMqtWaId64Miqbg3rS5wsNOmb6OOI\/ECqvrcW4jXRkI3ldSvIwuGta08VDgajlDN4PUaw8LbMXFNE5KRDxeAwdkNbAYTaLdGJH5qzyrNXs0c5KqoJ0NPpnhJHoQnczaFrbHL\/4s5FYT6uoKvbT11vbBm5Q9nYURLPmVHRo0AJM\/JBGArssZUlzyNrCet3JvRSNHG3IR4rmnoJ6N7HLdZXeP4HIujMkkWtuPTX05fBA7SpF6fVhMZv\/QwkCwkkn\/ImO4sQ34vYYi3FjG1JGEqvUQBlSp1Q0xtXpZoaK6swHfouSFy\/nL7FBDvq1h8s0yOQ5eOr2xnRfKWt3EaFjnQZXkWfpeM0Sqwp9YhWa4MhlkiOxnp3fHOjkg2ZjfjgW6yWuD8ibt\/Bq+EVhPCb7zMDUfoW596sBrjdDqSC8iYVwF7ZY6twfXY5wGh7+VVuN5EedUwkve\/oTKz99YVRrCkhe\/SSAkqzn5T4lYg+bdNr7xQazuXc3Y5t61bnH9Fjzgt\/aiwOQJN0RWyj9BzIO56lAvVIxxYKB3jNk0v1GNnLVeHBUq7qBeO8NpOEQPoK\/o4HB4oMxsIcdwd+OujrXh2x9ufGZp+h85F6zUnMdglI+3b\/Hbom1jnR2d8fQ3+dI\/ou7GNrxLD+goXcSE62KG4Ul0Fcm0TDbdDPlDigB0p9ehwlSUz5Lu3YRkIGh7snlLaCyqUyfRMFoUUd+kWdNHbApH7R+Da7WcsM+\/3Tbe\/Ihpvtk2n2z6Glm7NOhzCvMEyGNnor1e5K8l+Cy67hC9okvhPZlapzbJCuA094wC5np6SjbxVmp92Dt5A2dhsUUsa2tOz\/rPgO9ywHB41rJ7YhotBsxdFJBxt+Lkqnow4Ke70LpU9vcs3hLAYu1d2Fp3X2j+UI1BJ4+75vf92d3nuB17E76z4I6Gtv8YcC+G2cxeb5+sTN6TU75+vAmOsiQ0z4YCO2a0iEsDL6qEOtI4ZTEdQt\/cGWr02Q+0GcesRDsuVt1fu7hYzTcC1ZfZXeJ7hWbQ2geC68etK46ONZtOx0DGMFqt7ycn3qle8S02F39cbMzDaKCHJsdJvb+p7cW7OzZWgV5XWZlAVRIepjkxZPHkQI4lp8aHs7Jd+38fnnZbDS\/5lHEQFkgYDc6+hcVHk32Yd7zG3zUH4afvGxkNT7kkbIQH\/sN93EqhZhVv\/25GCxDiml3dTjfjH41Vrhdiwagwauxk7fACIZrg51BuPH+3m7rX9jtsDN5bY\/yc56DWjj3WVwVUweR82z1nHs8FlUMz0Jwe1bn0AJjagPQv2hhyUty4c0Yiz02fizLuU7h6X1itHueGfszQKWl\/Y4O82Wmv4C5l4sa1ukPRjp+21cAYEc\/+fkGOfT4k2mdKPzRj\/JtzXRLERPq27bq2473zPSbmA3xYox0khwYjoeC650wwv\/gDs\/nCogqOf8y52sPb2giEahCVjth2wbDnOTv4lWyOxf9NmfNg7gILe+MdbWLOXR\/fLmZUZCfxvGNPNuSjvclTDynBSm1mNvmjPpspmpzqUoo5JvsOK0FUaSG9H7ysIu0SEK90eWOvqxBrH1xZq3U\/1flEW7zXMyqfa6fr2N7HekbWNDT6nLx9TrJFWRwD9XsL2xVu4YjXcg5MCxb\/OU2YGeEyoP48Psrlw6tQKlfCpZJ2+zMUGSNFHMm5k6HZM3vE1xyZEwJxxhs6OB+YJac5ETE+gUd+TX6hWJvdO7T+ppMb7lk3VrAGLiiD1szv0zzvAHt661dWCHhhvWDNyMD80FtPsuJ3V+gy6Xpz6iKIouSDHlMxH2umKe2T9d\/CBrz+21NOrMdaf3drvnNNoNp7yKoNrMRDZ383S2Y+E8QFpe6Vajm\/q3dq7wvNDvYBwZMMumuWE3zXNq\/cWz1YZVjkaRqggg0To0fpBgnP\/oB27feNptXWfsfY8QGcr6ekwmTpxm2ngQ33HZ9zkpeiVvAA2YGVxNUd\/eipjgFcbmknGdlDyKrfl74MLtltqvx4ZO3i+kMC\/SsEid0Hlj2OkyC1SheXWvpwEVyrKs9u6HLBqEBZWMdG1NOVQ2N2RUxwRfDZ0O79GO1hUHkQ1AHr0OBq16AK+hxZ\/NawZmIM2whotqIqGlZ8KXBZ4qgLK37swXJf5RNQm8mbMmjzZjgJ57fptkzPt9+kuTigtRqd1trijFt3ejDkBkg6MrkdMEMV1K1x\/ege6OzTPz\/mvH\/SmeQ3sj80J4W\/02mvUKlwSPVzHDeg3rhzQCwXlqJDO9XGkcYFUvycHcatrCftDFjQGlgKpziscPT9w+BHaT3FNRuuQu01fUx9DEh6v9NH2YCFZY35ekR4lloJKVCIv48yknEEil31xkCuoIokO7ZIVwx2Fq19dRNrMZTRx+oegIryfdowyb1hgDggawps8CKUIypPsMh0UFwdBhefBByVp94k4MYX2+rPAz6C1Uz7S+9c3jWPBVL7E6h68AAuYK4nfSotAeQO5zyE3oZ2nnXnHjXBWSDbMjkV2q+GvtKKMkVT+y4zAnKMIg5zaNaVwr68HtqXkKgByL+JCowgHRp1M9H99mnxBC8Rwk9cMAnRIcA4p39Zj7mKqdj+qX1Omgot3C9IgRzE9JdrWSXxO+wAcV39\/Qb7mDrCNIuWjLULZ1FnqzyiOUJoEG0L\/ProvvbYbI\/1IyqEW+9OnVKSWxkmIlPL8lMnteb9p4SySCjk8OfssznuAAFFCUo7z36YFGGKF6g+B7i8jR8hSP7+L5B5nkAQ\/pHMaDqtFYdhYuU4TZNLiRdb49PCNz5BK3z308IyPq3rM+l\/AM2Eq21rfOKPtx5GlFEIXHcohz1Z2IcvAHYvX1AGtyfmXhdUHzLx1NVHTjpekSaf220SOp2M\/zAGWDdSPdVF+cRSzQxoT86IS24T4OoV44zfJgJUYpIkrL3B0zlw6C0lvz7kehyGHNd2nRstwwHpY7XALaMbgK00ic\/6HFaGDqVvabL4bZEmt7svZShpf0NrzRej5EVP8SDgpgrtQ18OzFoOxg61xIRxNaulG4BSuj3354ROj21IOy4+2jSV8fu95Lu49fZp1ntloIe12mPNYfSKUSYdmylI8CZGZbUm8OgrAUpZu0JqQqy1X+e9fX1rFSE6dolJx+4ZbcFj\/Y19\/OEfZjPZJVCZeb9WpPIQrzhB1JkKeyGmMf143701DfenZ1TEdnNtS7ITLpJKtUZJGUDFpozflRpr48tNa0VlLKiDhvI0xoKXm2ZELDuYLBDXqJRez5pyWt9Hgy9wkYT7RYUCyCwOBaWEjXUfrxfodheBOM+rm0JtoBfSRTVJVy\/4PY65hq5kPtZVD5o1fZyi9\/xaSVDjAmTQ5MsPIxWM4zEZPz\/AZB5qkWDOKPGhHjwKqost31i2ZL+Zq+nXOcRVpA1ooGEOKHt\/PeFi0CXhbAfOs2ZpewwcmTKSQ2EtiYl3W3+EM760iSaLKuihh8YZV6c8KkWlvUEj6vsqBRd6oWfAzAQ7GK4a8B7mejg5G4Mm7+C9mMYjDcu6wRuAuddrMtwfn9Nu0+EMJIpxMMs6GulKdqNNYb2q3FW7FlVRdwsxJ2qErBIwuF2P9ITcVVbIPmzsGkpNyxAAqtBAOBnEfRUNUFsNsQs4mwfWRKN2GTHB9CywptVFnuKbro5lT7CQmwqOuTrSSCXIDX7Y7xB94wzqJRPWzrabNaZKP9HOF3lgnpNfYe7\/x+cN+Fy5Ya0\/gaQ90sCuWyLKx6PtpTAlJHMhW2VH1VKkRlrPFjRY+hgjlp01a40vZQN2cN4Nn++NtOmY39eiY\/7o9lDZurdVtYQyh9eCzTiteUR25rWJETtpFtiXNy0+3e1\/sZRIwCNVozKJsODWVi1lkqub6HZwyDdwwMTVFKIszyaunRy0M4Q5+lOz1MhRnP\/J3pQe160qpFdvQ1zXfZy9kpGBGfRX8m\/ygqoFqDTJLmaQJu0BI4ZRmnXUZB1NVjQZR42FbhHSOcni55x6RlHFUzScGHhzg54WOQNGWJqck6pUXc5neLv1whOPJG6Q\/1rWQKYmoDvpMr7RXsQ3Do352yA\/TbuBjzdI9uKuB1MLrwb7wRmX6sxYLN7y9KvsTF30OHbMbBnLetB\/eFPDqs1SgcaIau6Q3fsztsf5SRtn6BWsqriex1Ga1XHGyjWGMNkkDUXhcxejxYBaGj8fRHLxG9AVsaD6hBgwgEaxPsGQI3aICLQ5aq+zfiuj2Tzp8ncpcFW997TrchtNmeKr7U2vzwhXt8qDZDzarapP19f9zOzJKjgEIOoZRm99vykgco0vOxWEO5ffZxwZUrjQ1dMlDiin552TfWMYGKAU7rR8sFP861OYZ2We4ifRPf6ACD6tir7xATlqMCX3g+oehpPyFHBS9x4SKNsiXQV0vA+7uiCCL17SpHr6\/mEAhi4XAbEVEeLmIk6pezEO0Nm3frOdqofrBfJIUlc7u1nQXJD3Ifnqu5dH3OL6zb4pk\/vMcaLq1wlY2WP24gMqiW4i4NtB30yZVBF3+XmSJWypPd0TMonVeXMxaFjvsIqcLyis+nJsONaUHBs6tHtunFOYK8diAcUca2r6zOGqFfBy7oNquOjgNdPklK\/nTR5ilO2XBoKfQ1OaoizaL20PfrrCpNovHQQ\/bRmkWoFUpBH8tKVF8oKL\/dKOfSPw21JYV\/dLK4CftvCE0lyqPsme+WSUr+dNuHlFFaEa+XHkMeUFDq\/Fful6gYN3THmc5jnkroydeMfSyXJg337pBVvPt9oHPzYGpHj1dzZiysz9Enth6MdMmbVfIhtFTNd+bOz9chtHZrhlypz90ooR3rHfghEhVV2gJIPazciJfY8vNvdLK9zG4Y4vtvZLJw7s2OCL7f0S7XZBHPPFzn4Z29hnisssf41RmkK1dmA7W0N+ZO6Xnuu6geKRtV\/uHN+OAvmRvV+GduDFlvzI2S9xjHdsM\/KENMFHLrIMvtiE4dhx0gbFFnAaYYZPpNgGeUV2YPHFzn4J4oK7Kk8A4WLsl05gWo7BF5v75S60to7JF1v7ZRS4yMJ8sQ1cRY7j8cXA7Ah7iGcAYbTjutuQLwYmBzu7ySvcFBMZCx3s8cX2fhl52I+3fDFUSf7piqu8wFBn5CPbRUK5CRz3kG0J5dZ+aSHbYCY9LbdBkrfR1hHKnf3ScyIv7GZCWRLmenFgY8SVgiBHLivfUAo1elZo21ypDe1zPLZ9JWWs5Ttux8FjisqSJrY1jTX9n\/HF91fcApW\/8rlvHZd5\/vwuLT8n9Fe8X5oh\/HTrRo7Kis\/1TNbE46kqydgiCzEtqx+Y++XWtr1tLD6wQLhdy3PFByBU7g45vviAjrGJugcv+EgEGTnICrlSEKrYjx2XKyUzJ4g9xJXa+yXM8a3JlTr75S7GBlPb8XIh\/Yy42qDU3C9dqI0vtfZLzwp8Rmag1CbrVowMrhRqC7AddaUIF3XfDJsvbWQXcaUwRS2ux1AKzDSQ7\/EUCCejHdOG6ErF1kF2bAvFUJ\/hOY7DF8MAGjvDE96290tsBIYvFEOVfhQGDDNQLTa26xpcKWGny0oZlFqwkPlOyFOw98tghzCzTEAprLNehGN25QQVmDLUsnyhnLB067DTjZRbZPlw7FAoB7Y6QeyK9Aljsc0wNkzzawT1WrHN0qHl5n7phK7tYqEcBNXeBr4vlMPuZqEdw0Va7sCqGCHM1HtK6RpvIUbcoRTqRB5iBBtKLbJV75g1G0phU7cijxFhKKXrO2JEDYxFylyQeL4YRhPvECPapBjWdy9yIsQXA2e9yPYxXwwDamwNhuFxQpf3OI48z+OLTShGBiOxpNiCYg\/ZEV9MJNb2bYE2GctdsAtYjSovMCyCThwYXsw8KE\/FNdgvwx23L4ebEr2gLEP7ZRSFO0bFCEGlLcv9MnAif+ewSh6uqPLpWQEr7OEmLPILrI2Bz2wW4eZaBKDAxvE2tlgt75yXKAn3S2zvUMgM6yaBTOdhHPmYLQ0Q3MDaL33s++wWXQEQCBnb2Au4\/Y88AB1lFziuLz6wyMpj2BIpsiR5igeE4XbgYJbhV5xu4rwsk5QqQ1skPs2uYYpRoegoeXx6j4pcpRzDQzJrFTwlD18TYgPEUK34LEhyMto2s+PVj444V4wGra7KC7gZByoqZicrfZxXJ9Dvt2jL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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n17qma9a.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=\"console\" 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-P08 \u00b7 TOPIC \u00b7 labour-and-social-effects<\/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\">Artificial Intelligence and Autonomous Systems<\/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 Artificial Intelligence and Autonomous Systems<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Labour and social effects<\/h1><p class=\"nx-tagline\">AI changes which tasks people do, how work is organized, which skills are valued and how information spreads. Effects differ by occupation, country, gender and age, and depend on how firms and governments choose to deploy it. This page sets out how AI affects work and society, how exposure and impacts are measured, and what evidence serves the labour ministries, employers, unions and educators involved.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/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\/ai-autonomous-systems\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Dossier<\/strong><\/span><span class=\"nx-eyebrow\">G-P08 \u00b7 topic<\/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\">Definition and scope<\/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\">4 mechanisms<\/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\"><span class=\"nx-register-num\">3<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-field\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Field<\/span><span class=\"nx-register-v\">H3 field plate<\/span><\/a><\/li><li><a href=\"#nx-sec-indicators\"><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Indicators<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">6<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-pipeline\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Pipeline<\/span><span class=\"nx-register-v\">Run graph<\/span><\/a><\/li><li><a href=\"#nx-sec-sources\"><span class=\"nx-register-n\">07<\/span><span class=\"nx-register-k\">Sources<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">5<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-decisions\"><span class=\"nx-register-n\">08<\/span><span class=\"nx-register-k\">Decision holders<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">3<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-methods\"><span class=\"nx-register-n\">09<\/span><span class=\"nx-register-k\">Methods<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">4<\/span><\/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>People and exposure in East Asia<\/a><a href=\"#nx-sec-question\"><span>03<\/span>Labour and social effects: how the\u2026<\/a><a href=\"#nx-sec-terms\"><span>04<\/span>Terms used on this page<\/a><a href=\"#nx-sec-indicators\"><span>05<\/span>What is measured, and how well<\/a><a href=\"#nx-sec-pipeline\"><span>06<\/span>From sources to decisions<\/a><a href=\"#nx-sec-sources\"><span>07<\/span>Where the evidence comes from<\/a><a href=\"#nx-sec-decisions\"><span>08<\/span>Who decides, and what the evidence\u2026<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"project\" 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\">AI and jobs is the study of how artificial intelligence changes the tasks people do, how work is organized and which skills are valued. Tasks change before whole jobs do, exposure differs by occupation and gender, and outcomes depend on how employers and governments choose to deploy it.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"infrastructure\" 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\">People and exposure in East Asia.<\/h2><p class=\"nx-lede\">Population density, night-time lights, air quality, heat and floods, framed on East Asia; each layer is a dated NASA product.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-cmap-field\" data-nx-map=\"ctx-field\" data-cmap=\"east-asia:social\"><div class=\"nx-wm\" data-nx-water=\"ctx-social\" data-wm-domain=\"ctx-social\" data-wm-tiles=\"on\" data-wm-flat=\"on\" data-wm-focus=\"100,18,146,50\" 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=\"People and exposure, East Asia: 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=\"people||||\" aria-pressed=\"false\">Population<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"no2||||\" aria-pressed=\"false\">Air quality<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"lstd||||\" aria-pressed=\"false\">Heat<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"flood,people||||\" aria-pressed=\"false\">Floods<\/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\">2<\/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\">People and exposure<\/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-name=\"Population density, 2020\" data-wm-short=\"Population density\" data-wm-src=\"NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11\" 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-name=\"Night-time lights, daily\" data-wm-short=\"Night lights\" data-wm-src=\"NASA LAADS DAAC VIIRS Black Marble (VNP46A2)\" 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=\"no2\" aria-pressed=\"false\" data-wm-z=\"22\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-name=\"Nitrogen dioxide, lower atmosphere column\" data-wm-short=\"Nitrogen dioxide\" data-wm-src=\"NASA GES DISC OMI Aura\" data-wm-prov=\"NASA GES DISC\" data-wm-kind=\"Satellite retrieval; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Nitrogen dioxide, lower atmosphere column<\/span><span class=\"nx-wm-layer-src\">NASA GES DISC OMI Aura \u00b7 <span data-wm-date=\"no2\">10 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"no2\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"lstd\" aria-pressed=\"false\" data-wm-z=\"23\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-name=\"Land surface temperature, day, 8-day composite\" data-wm-short=\"Land temperature, day\" data-wm-src=\"NASA LANCE VIIRS NOAA-20 Level 3, 8-day\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite 8-day composite; persistent cloud still leaves gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Land surface temperature, day, 8-day composite<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 Level 3, 8-day \u00b7 <span data-wm-date=\"lstd\">14 Sep 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"lstd\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"flood\" aria-pressed=\"false\" data-wm-z=\"24\" data-wm-lag=\"0\" data-wm-name=\"Flood water, 3-day composite\" data-wm-short=\"Flood water\" data-wm-src=\"NASA LANCE VIIRS Global Flood Product\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite detection; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Flood water, 3-day composite<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS Global Flood Product \u00b7 <span data-wm-date=\"flood\">14 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"flood\" 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=\"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\"><div><dt><kbd>Arrows<\/kbd><\/dt><dd>Move<\/dd><\/div><div><dt><kbd>Shift and arrows<\/kbd><\/dt><dd>Turn and tilt (3D)<\/dd><\/div><div><dt><kbd>+ and \u2212<\/kbd><\/dt><dd>Zoom<\/dd><\/div><div><dt><kbd>0<\/kbd><\/dt><dd>Reset the view<\/dd><\/div><div><dt><kbd>N and P<\/kbd><\/dt><dd>Next and previous station<\/dd><\/div><div><dt><kbd>Enter<\/kbd><\/dt><dd>Pin the station<\/dd><\/div><div><dt><kbd>I<\/kbd><\/dt><dd>Inspect a point<\/dd><\/div><div><dt><kbd>M<\/kbd><\/dt><dd>Measure<\/dd><\/div><div><dt><kbd>C<\/kbd><\/dt><dd>Compare dates<\/dd><\/div><div><dt><kbd>Escape<\/kbd><\/dt><dd>Close<\/dd><\/div><\/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 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>Population density, night-time lights, air quality, heat and floods, framed on East Asia.<\/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 Natural Earth<\/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.gesdisc.aura-omi-omps\">OMI nitrogen dioxide (Aura) and OMPS aerosol index (Suomi NPP), NASA; distributed by the NASA GES DISC; 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-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>Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, \u00a9 MapLibre contributors.<\/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>Nitrogen dioxide, lower atmosphere column: OMI Aura, NASA GES DISC \u00b7 <span data-wm-date=\"no2\">10 Oct 2026<\/span><\/li><li>Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE \u00b7 <span data-wm-date=\"lstd\">14 Sep 2026<\/span><\/li><li>Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE \u00b7 <span data-wm-date=\"flood\">14 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-P08\/topics\/labour-and-social-effects\/#map\" data-nxf-title=\"Artificial Intelligence and Autonomous Systems live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"project\" data-variant=\"split\" 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\">The question<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Labour and social effects: how the risk develops.<\/h2><p class=\"nx-lede\">Work, education, public trust and inclusion. 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=\"m12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83Z\"\/><path d=\"m22 17.65-9.17 4.16a2 2 0 0 1-1.66 0L2 17.65\"\/><path d=\"m22 12.65-9.17 4.16a2 2 0 0 1-1.66 0L2 12.65\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Tasks change before jobs do<\/h3><p class=\"nx-p nx-mt-1\">AI automates or assists specific tasks within occupations. Jobs are reorganized around remaining tasks before they disappear or new ones form.<\/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\">Exposure is uneven<\/h3><p class=\"nx-p nx-mt-1\">Clerical and some professional tasks are highly exposed to generative AI, while manual and interpersonal work is less exposed. Women are over-represented in some highly exposed clerical jobs.<\/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 and training lag<\/h3><p class=\"nx-p nx-mt-1\">Workers need new skills to use AI well, and those displaced need retraining. Training systems often respond more slowly than technology adoption.<\/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 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z\"\/><path d=\"M13 8H7\"\/><path d=\"M17 12H7\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Information ecosystems shift<\/h3><p class=\"nx-p nx-mt-1\">Generated content, recommendation systems and synthetic media change how people find and judge information, with effects on trust and public debate.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" data-variant=\"split\" 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\">Key terms<\/span><\/div><h2 id=\"nx-s-5\" 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\">Task-based approach<\/td><td data-label=\"Definition\">Analysing technology's effect on work through the specific tasks within occupations.<\/td><\/tr><tr><td data-label=\"Term\">Augmentation<\/td><td data-label=\"Definition\">Use of AI to assist workers in tasks rather than replace them.<\/td><\/tr><tr><td data-label=\"Term\">Occupational exposure<\/td><td data-label=\"Definition\">The share of an occupation's tasks that AI could perform or assist.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"project\" 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\">Indicators<\/span><\/div><h2 id=\"nx-s-6\" 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\" data-lv=\"register\"><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 in occupations highly exposed to AI<\/td><td data-label=\"Unit\">percent of employment<\/td><td data-label=\"Cadence\">per assessment<\/td><td data-label=\"Source type\">Exposure studies using occupational data<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Firms using AI<\/td><td data-label=\"Unit\">percent of firms<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Business surveys<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Workers using AI tools at work<\/td><td data-label=\"Unit\">percent of workers<\/td><td data-label=\"Cadence\">per survey<\/td><td data-label=\"Source type\">Labour force and worker surveys<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">AI-related job postings<\/td><td data-label=\"Unit\">share of postings<\/td><td data-label=\"Cadence\">monthly<\/td><td data-label=\"Source type\">Online job posting data<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Participation in AI skills training<\/td><td data-label=\"Unit\">percent of workforce<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Training surveys<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Wage changes in exposed occupations<\/td><td data-label=\"Unit\">percent change<\/td><td data-label=\"Cadence\">annual<\/td><td data-label=\"Source type\">Wage statistics<\/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-P08\/topics\/labour-and-social-effects\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" 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\">Canvas<\/span><\/div><h2 id=\"nx-s-7\" 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 Labour and social effects 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-p08-topics-labour-and-social-effects-sk-t nx-dag-g-p08-topics-labour-and-social-effects-sk-d\" 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id=\"nx-dag-g-p08-topics-labour-and-social-effects-sk-t\">Labour and social effects: from task exposure to reskilling pathways<\/title><desc id=\"nx-dag-g-p08-topics-labour-and-social-effects-sk-d\">Occupations are broken into tasks and scored for exposure; skill gaps are found against vacancies; training pathways are designed with employers; placement and social protection support the transition. 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=\"project\" data-variant=\"split\" 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\">Sources<\/span><\/div><h2 id=\"nx-s-8\" 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\" data-lv=\"register\"><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\">ILO studies on generative AI exposure of occupations<\/td><td data-label=\"What it gives\">Occupational exposure estimates by country and gender<\/td><td data-label=\"Licence class\">Public, ILO terms<\/td><\/tr><tr><td data-label=\"Source\">OECD Employment Outlook and AI in work studies<\/td><td data-label=\"What it gives\">Evidence on AI adoption and labour effects<\/td><td data-label=\"Licence class\">Public, OECD terms<\/td><\/tr><tr><td data-label=\"Source\">Eurostat ICT usage in enterprises survey<\/td><td data-label=\"What it gives\">Share of enterprises using AI<\/td><td data-label=\"Licence class\">Open, Eurostat reuse policy<\/td><\/tr><tr><td data-label=\"Source\">Online job posting data such as Lightcast summaries<\/td><td data-label=\"What it gives\">Demand for AI skills<\/td><td data-label=\"Licence class\">Commercial; public summaries (to check)<\/td><\/tr><tr><td data-label=\"Source\">Stanford AI Index<\/td><td data-label=\"What it gives\">Compiled indicators on AI adoption, investment and labour<\/td><td data-label=\"Licence class\">Public, licence to check<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G-P08\/topics\/labour-and-social-effects\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" data-variant=\"split\" 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\">Decisions<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Artificial Intelligence and Autonomous Systems 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\"><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\">Labour ministries<\/td><td data-label=\"The question\">Which workers and sectors need transition support<\/td><td data-label=\"Evidence this page serves\">Exposure analyses; adoption tracking<\/td><\/tr><tr><td data-label=\"Who decides\">Employers and unions<\/td><td data-label=\"The question\">How to introduce AI at work and share its gains<\/td><td data-label=\"Evidence this page serves\">Adoption and wage evidence<\/td><\/tr><tr><td data-label=\"Who decides\">Education and training bodies<\/td><td data-label=\"The question\">Which skills to teach and to whom<\/td><td data-label=\"Evidence this page serves\">Skills demand evidence<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Occupational exposure analyses by sector, gender and region<\/li><li>Adoption tracking from business and worker surveys<\/li><li>Evaluation designs for AI training programmes<\/li><li>Evidence notes for social dialogue on AI at work<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"project\" 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\">Core questions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">What researchers ask about social effects.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>Which tasks can current AI perform well, and how does that map onto occupations?<\/li><li>Does AI substitute for workers, complement them or change what their jobs consist of?<\/li><li>How does AI change learning and assessment in education?<\/li><li>How do errors, opacity and misuse affect trust, and who is excluded?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" 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\">Mechanisms<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">Tasks, not jobs.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Jobs are bundles of tasks. AI tends to automate or assist specific tasks, such as drafting, summarising, coding or classifying images, which changes the content of jobs rather than simply removing them. Whether that raises productivity and wages or displaces workers depends on how organizations redesign work and how gains are shared.<\/p><p class=\"nx-p nx-mt-2\">In education, AI can personalise support but also undermine assessment and the learning that comes from effort. Trust depends on experience: visible errors, unexplained decisions and synthetic content erode it, while accountable use can build it. People with limited digital access, skills or language support risk exclusion.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-data\" class=\"nx-section\" data-hue=\"project\" data-variant=\"split\" 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\">Methods and data<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">Evidence on social effects.<\/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 exposure analysis<\/h3><p class=\"nx-p nx-mt-1\">Mapping AI capabilities onto occupational task data. Exposure is not the same as displacement.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">02<\/span><div><h3 class=\"nx-h4\">Field and natural experiments<\/h3><p class=\"nx-p nx-mt-1\">Studying workplaces and classrooms that adopt AI, using <a class=\"nx-link\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/stem\/social-science\/\">social and behavioural science<\/a>. Early studies may not generalize.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">03<\/span><div><h3 class=\"nx-h4\">Surveys of trust and use<\/h3><p class=\"nx-p nx-mt-1\">Measuring how people use and perceive AI. Attitudes change quickly and vary by context.<\/p><\/div><\/li><li><span class=\"nx-eyebrow nx-index\">04<\/span><div><h3 class=\"nx-h4\">Capability evaluation<\/h3><p class=\"nx-p nx-mt-1\">Linking what systems can actually do, from <a class=\"nx-link\" href=\"https:\/\/therisk.global\/ai-autonomous-systems\/stem\/ai-assurance\/\">AI evaluation and assurance engineering<\/a>, to claims about social effects.<\/p><\/div><\/li><\/ol><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"infrastructure\" 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<\/span><\/div><h2 id=\"nx-s-13\" 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\/ai-autonomous-systems\/stem\/social-science\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Social and behavioural science<\/span><span class=\"nx-mledger-role\">Human oversight studies \u00b7 Affected community research \u00b7 Workplace adoption studies<\/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\/social-science\/\" aria-label=\"Social and behavioural science: 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\/ai-autonomous-systems\/stem\/probability-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Probability and statistics<\/span><span class=\"nx-mledger-role\">Uncertainty on benchmark scores \u00b7 Calibration assessment \u00b7 Audit sampling<\/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\/probability-statistics\/\" aria-label=\"Probability and statistics: 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\/ai-autonomous-systems\/stem\/ai-ml\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Artificial intelligence and machine learning<\/span><span class=\"nx-mledger-role\">Distribution shift analysis \u00b7 Fine-tuning for a specific use \u00b7 Interpretability methods<\/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\/technology\/ai-ml\/\" aria-label=\"Artificial intelligence and machine learning: 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\/ai-autonomous-systems\/stem\/robotics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">04<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Robotics and automation<\/span><span class=\"nx-mledger-role\">Scenario-based testing \u00b7 Collaborative robot safety \u00b7 Operating domain monitoring<\/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\/technology\/robotics\/\" aria-label=\"Robotics and automation: 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 measures show potential, not actual, automation or augmentation. Adoption surveys define AI differently. Job posting data over-represent some sectors. Labour market effects take years to appear and are hard to separate from other changes. This platform makes no forecast of job losses; ministries, employers and unions decide.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-14-sec\" class=\"nx-section\" data-hue=\"project\" 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\">Questions<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>Will AI take jobs?<\/summary><div class=\"nx-answer\">Evidence so far suggests AI changes tasks within jobs more often than it eliminates whole jobs, but effects differ by occupation and depend on how it is deployed. Long-term effects are uncertain.<\/div><\/details><details><summary>What is occupational exposure to AI?<\/summary><div class=\"nx-answer\">A measure of how many of an occupation's tasks AI could perform or assist, based on task descriptions, which indicates potential, not realised, change.<\/div><\/details><details><summary>Who is most exposed to generative AI?<\/summary><div class=\"nx-answer\">Studies by the ILO and others find clerical and some professional occupations most exposed, with women over-represented in highly exposed clerical work.<\/div><\/details><details><summary>Will AI cause mass unemployment?<\/summary><div class=\"nx-answer\">The evidence does not support confident predictions either way. Effects depend on adoption, work redesign, policy and how gains are shared, and they differ by occupation and place.<\/div><\/details><details><summary>Which workers are most exposed?<\/summary><div class=\"nx-answer\">Exposure analyses suggest many office and knowledge tasks are exposed to current AI, unlike earlier automation that mainly affected routine manual work. Exposure does not mean those jobs disappear.<\/div><\/details><details><summary>How does this topic relate to Future of Work and Skills?<\/summary><div class=\"nx-answer\">This topic connects AI capabilities to social effects; Future of Work and Skills studies labour markets, skills and institutions in depth. The two share evidence.<\/div><\/details><details><summary>Does the platform advise employers?<\/summary><div class=\"nx-answer\">No. It publishes research that employers, unions and public bodies can use.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-15\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-15\" class=\"nx-h3 nx-mt-2\">Around Artificial Intelligence and Autonomous Systems.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/model-evaluation\/\">Model evaluation <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\/ai-autonomous-systems\/topics\/agentic-systems\/\">Agentic systems <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\/ai-autonomous-systems\/topics\/ai-cyber-security\/\">AI cyber security <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\/ai-autonomous-systems\/topics\/ai-in-science\/\">AI in science <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\/ai-autonomous-systems\/topics\/ai-and-public-services\/\">AI and public services <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\/ai-autonomous-systems\/topics\/autonomous-physical-systems\/\">Autonomous physical systems <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\/ai-autonomous-systems\/\">Artificial Intelligence and Autonomous Systems 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\/ai-autonomous-systems\/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-16\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Artificial Intelligence and Autonomous Systems<\/span><h2 id=\"nx-close-16\" 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=Artificial%20Intelligence%20and%20Autonomous%20Systems%3A%20Labour%20and%20social%20effects\">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\/ai-autonomous-systems\/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\/ai-autonomous-systems\/topics\/labour-and-social-effects\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/labour-and-social-effects\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Will AI take jobs?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Evidence so far suggests AI changes tasks within jobs more often than it eliminates whole jobs, but effects differ by occupation and depend on how it is deployed. 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The two share evidence.\"}},{\"@type\":\"Question\",\"name\":\"Does the platform advise employers?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"No. It publishes research that employers, unions and public bodies can use.\"}}]},{\"@type\":\"DefinedTermSet\",\"@id\":\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/labour-and-social-effects\/#terms\",\"name\":\"Key terms: Labour and social effects\",\"inLanguage\":\"en\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/labour-and-social-effects\/#webpage\"},\"hasDefinedTerm\":[{\"@type\":\"DefinedTerm\",\"name\":\"Task-based approach\",\"description\":\"Analysing technology's effect on work through the specific tasks within occupations.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/labour-and-social-effects\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Augmentation\",\"description\":\"Use of AI to assist workers in tasks rather than replace them.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/labour-and-social-effects\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Occupational exposure\",\"description\":\"The share of an occupation's tasks that AI could perform or assist.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/labour-and-social-effects\/#terms\"}}]}]}<\/script>\n\n<!-- nx-rev:467301c467644d91 -->","protected":false},"excerpt":{"rendered":"<p>LightDarkAuto G-P08 \u00b7 TOPIC \u00b7 labour-and-social-effectsGCRI dossier \u00b7 service level R0 GCRI\u00b7Artificial Intelligence and Autonomous Systems\u00b7In development Topic dossier \u00b7 Artificial Intelligence and Autonomous Systems Labour and social effects AI &hellip; <a href=\"https:\/\/therisk.global\/ai-autonomous-systems\/topics\/labour-and-social-effects\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Labour and social effects&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":78,"menu_order":319,"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-104","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/therisk.global\/ai-autonomous-systems\/wp-json\/wp\/v2\/pages\/104","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/therisk.global\/ai-autonomous-systems\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/therisk.global\/ai-autonomous-systems\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/therisk.global\/ai-autonomous-systems\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/therisk.global\/ai-autonomous-systems\/wp-json\/wp\/v2\/comments?post=104"}],"version-history":[{"count":2,"href":"https:\/\/therisk.global\/ai-autonomous-systems\/wp-json\/wp\/v2\/pages\/104\/revisions"}],"predecessor-version":[{"id":228,"href":"https:\/\/therisk.global\/ai-autonomous-systems\/wp-json\/wp\/v2\/pages\/104\/revisions\/228"}],"up":[{"embeddable":true,"href":"https:\/\/therisk.global\/ai-autonomous-systems\/wp-json\/wp\/v2\/pages\/78"}],"wp:attachment":[{"href":"https:\/\/therisk.global\/ai-autonomous-systems\/wp-json\/wp\/v2\/media?parent=104"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}