A public record of predictions made by well-known people: their exact words, when they said them, and how things turned out.
| Person | Category | Predictions | Scored | Accurate | Late | Partial | Wrong | Accuracy |
|---|---|---|---|---|---|---|---|---|
| Al Gore | Politician | 12 | 8 | 2 | 0 | 1 | 5 | 31% |
| Allan Lichtman | Academic | 10 | 8 | 6 | 0 | 1 | 1 | 81% |
| Anthony Fauci | Scientist | 16 | 14 | 10 | 0 | 3 | 1 | 82% |
| Barack Obama | Politician | 9 | 9 | 5 | 1 | 1 | 2 | 67% |
| Bill Ackman | Investor | 9 | 6 | 2 | 0 | 2 | 2 | 50% |
| Bill Gates | Tech leader | 21 | 11 | 4 | 0 | 4 | 3 | 55% |
| Bill McKibben | Commentator | 9 | 5 | 4 | 0 | 1 | 0 | 90% |
| Cathie Wood | Investor | 23 | 15 | 5 | 0 | 1 | 9 | 37% |
| Daniel Kokotajlo | AI researcher | 8 | 8 | 7 | 0 | 1 | 0 | 94% |
| Dario Amodei | Tech leader | 13 | 2 | 0 | 1 | 1 | 0 | 50% |
| Demis Hassabis | AI researcher | 6 | 0 | 0 | 0 | 0 | 0 | — |
| Donald Trump | Politician | 23 | 19 | 3 | 0 | 2 | 14 | 21% |
| Ed Yardeni | Market strategist | 16 | 12 | 8 | 2 | 0 | 2 | 75% |
| Elon Musk | Tech leader | 10 | 5 | 0 | 0 | 1 | 4 | 10% |
| Eric Schmidt | Tech leader | 16 | 11 | 3 | 0 | 3 | 5 | 41% |
| Gary Marcus | AI researcher | 18 | 15 | 11 | 0 | 3 | 1 | 83% |
| Geoffrey Hinton | AI researcher | 11 | 1 | 0 | 0 | 0 | 1 | 0% |
| Gordon Chang | Commentator | 10 | 6 | 2 | 0 | 1 | 3 | 42% |
| Harry Dent | Market strategist | 18 | 17 | 3 | 0 | 2 | 12 | 24% |
| Ian Bremmer | Commentator | 11 | 11 | 9 | 0 | 0 | 2 | 82% |
| Jack Dorsey | Tech leader | 6 | 2 | 0 | 0 | 0 | 2 | 0% |
| James Hansen | Scientist | 17 | 10 | 9 | 0 | 0 | 1 | 90% |
| Jamie Dimon | Business leader | 16 | 10 | 6 | 0 | 0 | 4 | 60% |
| Janet Yellen | Policymaker | 13 | 12 | 7 | 0 | 2 | 3 | 67% |
| Jensen Huang | Tech leader | 13 | 1 | 0 | 0 | 0 | 1 | 0% |
| Jeremy Grantham | Investor | 9 | 9 | 4 | 0 | 1 | 4 | 50% |
| Jeremy Siegel | Economist | 19 | 16 | 8 | 2 | 0 | 6 | 56% |
| Jerome Powell | Policymaker | 15 | 12 | 6 | 0 | 5 | 1 | 71% |
| Jim Cramer | Commentator | 18 | 17 | 2 | 0 | 1 | 14 | 15% |
| Joe Biden | Politician | 16 | 14 | 8 | 0 | 2 | 4 | 64% |
| John Mearsheimer | Academic | 11 | 9 | 7 | 0 | 0 | 2 | 78% |
| Kevin Hassett | Economist | 13 | 11 | 2 | 0 | 2 | 7 | 27% |
| Larry Summers | Economist | 19 | 14 | 5 | 0 | 0 | 9 | 36% |
| Marc Andreessen | Investor | 14 | 10 | 6 | 1 | 2 | 1 | 75% |
| Mark Zuckerberg | Tech leader | 16 | 7 | 3 | 0 | 3 | 1 | 64% |
| Masayoshi Son | Investor | 8 | 0 | 0 | 0 | 0 | 0 | — |
| Michael Burry | Investor | 11 | 8 | 3 | 0 | 3 | 2 | 56% |
| Michael Saylor | Crypto figure | 15 | 7 | 2 | 0 | 1 | 4 | 36% |
| Michio Kaku | Scientist | 13 | 5 | 0 | 1 | 2 | 2 | 30% |
| Mohamed El-Erian | Economist | 17 | 17 | 10 | 0 | 4 | 3 | 71% |
| Mustafa Suleyman | Tech leader | 5 | 1 | 0 | 0 | 0 | 1 | 0% |
| Nancy Pelosi | Politician | 10 | 10 | 2 | 0 | 0 | 8 | 20% |
| Nate Silver | Commentator | 11 | 7 | 4 | 0 | 0 | 3 | 57% |
| Nouriel Roubini | Economist | 25 | 20 | 6 | 0 | 2 | 12 | 35% |
| Paul Ehrlich | Scientist | 13 | 11 | 0 | 0 | 1 | 10 | 5% |
| Paul Krugman | Economist | 22 | 19 | 8 | 0 | 2 | 9 | 47% |
| Peter Schiff | Investor | 27 | 23 | 4 | 3 | 0 | 16 | 24% |
| Peter Thiel | Investor | 8 | 5 | 0 | 0 | 1 | 4 | 10% |
| Peter Zeihan | Commentator | 16 | 8 | 1 | 0 | 1 | 6 | 19% |
| Ray Dalio | Investor | 7 | 5 | 2 | 0 | 0 | 3 | 40% |
| Ray Kurzweil | Futurist | 26 | 19 | 4 | 6 | 0 | 9 | 37% |
| Robert Kiyosaki | Commentator | 14 | 12 | 2 | 4 | 0 | 6 | 33% |
| Sam Altman | Tech leader | 16 | 4 | 3 | 1 | 0 | 0 | 88% |
| Stephen Hawking | Scientist | 7 | 3 | 1 | 0 | 0 | 2 | 33% |
| Steve Ballmer | Tech leader | 9 | 7 | 1 | 0 | 3 | 3 | 36% |
| Thomas Friedman | Commentator | 7 | 7 | 4 | 0 | 1 | 2 | 64% |
| Tom Lee | Market strategist | 15 | 14 | 5 | 0 | 1 | 8 | 39% |
| Vinod Khosla | Investor | 13 | 3 | 0 | 1 | 0 | 2 | 17% |
| Vitalik Buterin | Crypto figure | 9 | 4 | 3 | 0 | 0 | 1 | 75% |
| Warren Buffett | Investor | 10 | 8 | 5 | 1 | 1 | 1 | 75% |
| Yann LeCun | AI researcher | 7 | 1 | 0 | 0 | 0 | 1 | 0% |
Accuracy counts accurate as 1, late or partial as ½, inaccurate as 0. Pending predictions don't count.
“There are scenarios not today, but reasonably soon, where these systems will be able to find zero-day exploits in cyber issues, or discover new kinds of biology. Now, this is fiction today, but its reasoning is likely to be true.”AITechnology
“Within 5 to 6 years, the FDA will approve a primary care app qualified to practice medicine like your primary care physician”HealthAI
“I now predict 5 to 20 years but without much confidence.”AI
“The "hard take-off" scenario is utterly impossible.”AI
“We think that the robotaxi opportunity, globally, will deliver $8 to $10 trillion in revenue by 2030”Self-drivingAIMarkets
“AIs will get to that ability, to be as good a tutor as any human ever could.”AI
“ChatGPT and whatever follows are probably an economic story for the 2030s, not for the next few years.”AIEconomy
“2023 is likely to see widespread adoption of such systems—despite their flaws.”AITechnology
“Its natural language output still won’t be something that one can reliably hook up to downstream programs”AITechnology
“Fluent hallucinations will still be common, and easily induced”AITechnology
“GPT-4 by itself won’t be a general purpose artificial general intelligence capable of taking on arbitrary tasks.”AITechnology
“AI is improving quickly and I expect it to keep improving further and ironing out bugs like this over time.”AITechnology
“If you train a machine as powerful as could be…your GPT-5000, it's never gonna learn about this.”AI
“This article claims the global market is around $2B/year in 2021 and is projected to grow around 30%/year. I predict it will grow faster.”AIMarkets
“We’re in a new chip shortage.”TechnologyAI
“Nowadays, hundreds of millions of people talk regularly to chatbots of some sort”AITechnology
“After years of tinkering and incremental progress, AIs can now play Diplomacy as well as human experts.”AI
“So, the most compute spent on a single training run is something like 5x10^25 FLOPs.”AITechnology
“Not only that, but they are now typically fine-tuned in various ways--for example, to answer questions correctly, or produce engaging conversation as a chatbot.”AI
“OpenAI, Google, Facebook, and DeepMind all have gigantic multimodal transformers, similar in size to GPT-3 but trained on images, video, maybe audio too, and generally higher-quality data.”AI
“In the next decade, they will do assembly-line work and maybe even become companions.”AIEconomy
“In the next five years, computer programs that can think will read legal documents and give medical advice.”AIHealth
“In the early 2030s, we'll have universal basic income in the developed world, and worldwide by the end of the 2030s.”EconomyAI
“Year after that, robot taxis. The year after that, self-driving cars.”Self-drivingAI
“By 2030, they will dominate the industries.”AIGeopolitics
“By 2025, they will be better than us.”AIGeopolitics
“By 2020, they will have caught up.”AIGeopolitics
“I predict 30 years from now, the number of smart robots, the smart robot population on this earth will be 10 billion.”TechnologyAI
“I have set the date 2045 for the 'Singularity' which is when we will multiply our effective intelligence a billion fold by merging with the intelligence we have created.”AI
“2029 is the consistent date I have predicted for when an AI will pass a valid Turing test and therefore achieve human levels of intelligence.”AI