The importance of diversity in meteorology, technology and AI

The Next Great Divergence: How AI could split the world again if we don’t intervene | Brookings

Michael Muthukrishna and Philip Schellekens argue that AI, like past general-purpose technologies, could drive a new global divergence unless deliberate action ensures its benefits are broadly shared rather than geographically concentrated.

Why we need more Women in AI

In an age where artificial intelligence (AI) shapes much of our daily lives, the conversation about diversity in this field has taken on a…

Bridging the gap: inequalities that divide those who can and cannot create sustainable outcomes with AI

The widespread use of AI technologies impacts individuals, organisations, and societies in ways that warrant more comprehensive investigation. Inequalities in benefiting from AI advancements may le...

A Real Political Economy of Technology - The Ideas Letter

Two technological futures are competing for political and material priority: generative AI and the green transition. Benanav argues that while AI is marketed as a world-reordering breakthrough, its productivity gains…

Artificial intelligence tools expand scientists’ impact but contract science’s focus

Nature - Artificial intelligence boosts individual scientists’ output, citations and career progression, but collectively narrows research diversity and reduces collaboration, concentrating...

Ecology is not yet ready for AI—and why that matters

Ecology is not yet ready for AI—and why that matters

Inside the AI Index: 12 Takeaways from the 2026 Report | Stanford HAI

The annual report reveals a field hitting breakthrough capabilities while raising urgent questions about environmental costs, transparency, and who benefits from the technology.

Presentations — Benedict Evans

Every year, I produce a big presentation exploring macro and strategic trends in the tech industry. New in May 2025, ‘AI eats the world’.

Environmental Cost of Artificial Intelligence: Carbon, Water, and Land Footprints

AI’s rapid growth drives huge energy, water, and land use, raising environmental and equity challenges across its global infrastructure.

Environmental Cost of Artificial Intelligence: Carbon, Water, and Land Footprints

AI’s rapid growth drives huge energy, water, and land use, raising environmental and equity challenges across its global infrastructure.

Where are the field builders?

Appreciating the unsung heroes of technoscience.

Field Theory: AI as Social Science Question, Object & Tool

Uses of advanced artificial intelligence are changing how societies organize labor, govern, produce knowledge, and make meaning. In light of these developments, this essay argues that AI models, tools, and systems pose three interrelated imperatives for social science: they demand renewed attention to social theories of how technology, human experience, and social order are entangled; they require study as objects of inquiry in their own right; and they offer capabilities that may transform—or upend—the practice of social investigation itself. From Weber’s analysis of rationalization to Du Bois’s study of technology and inequality to contemporary scholarship on algorithmic governance, the essay examines what social science distinctively offers: the capacity to historicize the apparently unprecedented, to trace connections across scales, and to center those most affected by technological change. It identifies how algorithmic systems are remaking the distribution of opportunity and risk as a central task of social inquiry and asks what futures social science might help bring into being.

AI & the Environment

I write a lot about AI’s effects on the environment.

AI as the greatest source of empowerment for all

I’ve always considered myself a pragmatic technologist—someone who loves technology not for its own sake, but for the direct impact it can have on people’s lives. That’s what makes this job so exciting, since I believe AI will unlock more opportunities for more people than any other technology in history. If we get this right, AI can give everyone more power than ever.

Charting AI’s Role in Scientific Discovery — Renaissance Philanthropy – A brighter future for all through science, technology, and innovation

Renaissance Philanthropy, with support from Google.org , is conducting a landscape study of AI integration in scientific research — and we want your perspective.