AI should not be thought of as a discrete, stand-alone breakthrough. It is rather a catch-all term for a technology supercluster. Just as “the internet” is a combination of various innovations, from fiber-optic cables to search engines, so AI comprises many interdependent technologies that facilitate and amplify each other.
These combine to form the front-end that most of us will experience via consumer technologies like OpenAI’s Chat-GPT and the back-end underpinning of various services and infrastructure, from personalized medicine to smart power grids.
Simplified, non-exhaustive representation of the technological foundations which enable different forms of AI:
Simplified, non-exhaustive representation of the technological foundations which enable different forms of AI:
Source: UBS
The Bulletin with UBS on "AIm high”
A discussion on the social risk and opportunities in the AI-transition.
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AIm high—How AI can improve life outcomes around the world
Richard Mylles talks about the social implications of the AI-transition with a particular focus on the opportunities and risks in education, work, and healthcare.
How well do you know AI?



As the AI roll-out gathers pace, we find ourselves at an inflection point. The decisions taken in the next few years will decide whether AI's upsides are fully realized and its risks adequately mitigated.
Our white paper contains insights on how to optimize AI’s consequences for human capital, via its impacts on education, workplace productivity, and health.
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