GCRI · Innovation and technological change
Converging technologies
The most consequential technological change happens where fields combine: AI with biology, computing with energy, satellites with sensors and finance, robotics with manufacturing. Convergence speeds discovery. It also creates risks that fall between institutional mandates. The Global Centre for Risk and Innovation (GCRI) studies the scientific and institutional problems at those intersections. Part of innovation and technological change.
The order things happen in.
- 01Draftsources cited, labels attached
- 02Evidence checkevery value traced
- 03Independent reviewconflicts declared
- 04Editionpublished with its limits
- 05Correctiona new version, never a silent edit
Convergence happens at specific intersections.
| Intersection | What it enables | What it challenges |
|---|---|---|
| AI and life sciences | Faster design of molecules, diagnostics and crops | Dual-use oversight, validation of AI-generated results |
| Computing and energy | Grid optimisation, new industrial loads | Electricity and water demand of data centres, grid stability |
| Space and Earth sensing | Frequent, global observation of hazards and assets | Data quality, continuity of missions, dependence on few operators |
| Robotics and industry | Automated production and inspection | Workforce transition, safety of autonomous systems |
Where convergence changes risk, and the evidence each intersection needs.
| Intersection | What changes | Evidence needed |
|---|---|---|
| AI and the life sciences | Design tools lower the skill needed for some biological work, for good and ill | Evaluations of model uplift for hazardous tasks, as discussed in the International AI Safety Report (2025) |
| Computing and power systems | Data-centre load grows quickly and concentrates on some grid nodes | Load forecasts, grid connection queues, cooling water use |
| Satellites, sensors and finance | Observation feeds parametric insurance and lending decisions | Basis risk between index and loss; data continuity |
| Robotics and manufacturing | Automation shifts which tasks and which places remain competitive | Task exposure by occupation and region |
| Quantum and digital security | Future quantum computers threaten current public-key cryptography | Cryptographic inventories and migration plans |
The idea of converging technologies entered science policy through the report edited by Roco and Bainbridge for the U.S. National Science Foundation in 2002; the governance problem it described, risks that fall between institutional mandates, is sharper now than it was then.
Shared methods across fields, and where findings go.
GCRI studies convergence through methods that several fields share and through controlled experiments in Labs. Findings are designed for the Exponential Technology series and the Foresight Outlook series. Specialists from two fields working on one problem are the contributors this page most needs.
Scientific and institutional problems at the boundary.
Validation across fields
Methods from one field are applied in another before their limits there are understood.
Gaps between mandates
No single regulator or ministry may own a converged risk, so it goes unexamined.
People who span fields
Few teams combine the disciplines needed to evaluate a converged system end to end.
Shared methods as the meeting point.
Convergence is studied through methods several fields share, catalogued in the STEM Commons: artificial intelligence and machine learning, systems engineering and AI evaluation and assurance engineering. Controlled experiments run through Labs. Future-oriented work runs through future-oriented laboratories.
Studying a converged technology is not endorsing it. GCRI publishes findings with their limits and takes no position on products or vendors.
Related pages.
Individual technologies are introduced in the frontier technology guide. How readiness claims are examined is described under technology assessment. The Global Risks Forum (GRF) examines institutional responses through its Innovation Nexus.
Where this page’s references lead.
The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.
- Roco and Bainbridge (eds), Converging Technologies for Improving Human Performance (U.S. National Science Foundation, 2002)
- International AI Safety Report (chaired by Yoshua Bengio, January 2025)
- Energy and AI, special report (International Energy Agency, 2025)
- NIST FIPS 203, 204 and 205, post-quantum cryptography standards (NIST, 2024)
- WHO Global guidance framework for the responsible use of the life sciences (WHO, 2022)
Questions and answers.
Why focus on convergence rather than single technologies?
Does GCRI forecast technology timelines?
How do researchers from different fields work together?
Can a laboratory propose a convergence study?
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