Who gets the future right?

A public record of predictions made by well-known people: their exact words, when they said them, and how things turned out.

Scorecard

PersonCategoryPredictionsScoredAccurateLatePartialWrongAccuracy
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.

Predictions

Pending ●●●●●

The US (Nvidia) will stay strongly ahead of China (Huawei) in AI chip hardware for the next ten years (to 2035); the gap will close only over 10-20 years.

“Nvidia is way ahead of Huawei, which is the main producer of—which is the main producer of chips for China. Like something like four years ahead. I think that gap is going to close eventually, over the course of, I don’t know, ten or twenty years. Probably the export controls ma…”

Dario Amodei · Said 10 Mar 2025 · Target: 2035

GeopoliticsAITechnology
Pending ●●●●●

Within two to four years (by March 2029), AI models will be as intelligent as Nobel Prize winners across many fields and able to do any remote computer work, including tasks lasting days to months.

“the same exponential trends, the same arguments that predicted that, predict that if we go forward another two years, three years, maybe four years, we will get to all of this. We will get to models that are as intelligent as Nobel Prize winners across a whole bunch of fields.”

Dario Amodei · Said 10 Mar 2025 · Target: 2029

AI