Ideas · Artificial intelligence

Intelligent Optimism in the age of AI.

Every powerful technology has arrived with both promise and fear. AI is no different. The intelligent response is neither panic nor blind faith, but clear eyes and hard work.

Artificial intelligence may be the most powerful tool humanity has ever built. That is exactly why it deserves our best thinking, not our worst fears.

The printing press was blamed for spreading heresy and chaos. Electricity, cars, radio, television and the internet were each greeted with predictions of ruin. Some of the worries were real, and people worked hard to solve them. Most of the worst predictions never came true. What did come true, again and again, was that new tools, guided well, made human lives longer, richer, safer and freer.

1450sPrinting pressFeared: heresy, chaos, too many books
1880sElectricityFeared: fires, shocks, “unnatural” light
1900sMotor carsFeared: speed would harm body and mind
1950sTelevisionFeared: it would rot young minds
1990sInternetFeared: the end of reading and real friendship
2020sAIReal risks, real promise. Our turn to steer.

Abundance, accelerated

In Abundance, Peter Diamandis and Steven Kotler argue that exponential technologies take things that were scarce and make them plentiful. A smartphone today holds more computing power, maps, music, books and knowledge than a head of state could command a few decades ago. AI pushes this further: expertise that once belonged to a few, a doctor’s eye, a tutor’s patience, a translator’s skill, can increasingly reach anyone with a phone.

Science

Protein structures known

~0.2M
200M+
Lab experiments, ~50 yearsAlphaFold, by 2022

Shared freely with scientists worldwide. Its makers won the 2024 Nobel Prize in Chemistry.

Learning

The power of a personal tutor

The average classroom student does better than half the class.

98%

The average tutored student did better than 98% of the classroom group (Bloom, 1984). AI could bring that tutor to every child.

What AI can do for people

01
⚛

Faster science

Mapping proteins in hours instead of years, finding new materials and medicines, and speeding up the slow work of discovery.

02
✚

Better health

Helping doctors read scans, spot disease earlier and bring good medical advice to places with too few doctors.

03
✎

A tutor for every child

Patient, personal help in a child’s own language, at their own pace. Education is where the gains may be greatest.

04
☀

Cleaner energy

Better batteries, smarter grids, more accurate weather forecasts and less waste in farming and industry.

The future of AI is not something that happens to us. It is something we build.

Serious, but solvable

Intelligent Optimism is not blind. AI brings real risks, and they deserve serious attention from scientists, governments, companies and citizens. To borrow Steven Pinker’s phrase about other great challenges, they are serious but solvable.

The risk
What helps
Misinformation and deepfakes
Teaching critical thinking, checking sources, labelling AI-made content
Jobs changing fast
Lifelong learning, retraining, and AI tools that help workers rather than replace them
Bias built into systems
Testing, openness about how systems work, and diverse teams building them
Misuse by bad actors
Good rules, international cooperation and security research
Safety as systems grow more capable
Serious safety science, open research and keeping humans in charge

Problems are solved by people who believe solutions are possible. Fatalism does not make anyone safer; it only takes the most thoughtful people out of the room.

“The best way to predict the future is to invent it.”

Alan Kay, computer scientist

The arc bends because people bend it. Michael Shermer’s The Moral Arc shows that moral progress came from reason, science and the widening of our circle of concern. The same tools, applied with care, are how we make AI serve everyone.

What an intelligent optimist does

Learn how these tools work and use them well. Teach young people to think critically about what AI tells them. Support good rules and open research. Celebrate the breakthroughs, name the risks honestly, and keep humans at the centre.

Drawing on: Peter Diamandis and Steven Kotler, Abundance (2012) · Steven Pinker, Enlightenment Now (2018) · Michael Shermer, The Moral Arc (2015) · Benjamin Bloom, “The 2 Sigma Problem” (1984) · Google DeepMind and EMBL-EBI, AlphaFold Protein Structure Database · RCSB Protein Data Bank · Nobel Prize in Chemistry 2024