WSJ: AI Cracks Millennium Prize Math, Sparks Extinction Debate

The Wall Street Journal has published a piece arguing that AI is now advanced enough to solve some of the hardest open problems in mathematics, and that the same capability curve is raising serious extinction-risk concerns inside the top labs.

The framing matters for markets because it lands right as capex, compute demand, and safety-related regulation are all being repriced.

What the WSJ actually said

The WSJ column, by Ben Cohen, argues that you don’t need to know any math to understand why the Millennium Prize breakthrough matters, calling it proof of AI’s accelerating and terrifying progress.

The trigger was OpenAI publishing a solution to one of the notoriously complex Millennium Prize Problems. Over the past year, math has become proof of AI’s rapidly accelerating progress, showing the technology is getting much smarter, much faster than most people anticipated.

The extinction-risk angle

At the same time OpenAI published its Millennium Prize solution, a top scientist at Anthropic put out a very different kind of math, stating that the chances of human extinction in the next decade are now greater than 10%.

He was responding to comments from another researcher, Jacob Coxon, who worked at OpenAI and Anthropic and said neither company is acting responsibly as they sprint to self-improving superintelligence, while their mathematical arms race keeps escalating.

Do you want to see how to make more plays? Do you want to find gains yourself?

Unusual Whales helps you find market opportunities through our market tide, historical options flow, GEX, and much, much more.

Create a free account here to start conquering the market with Unusual Whales.

Why traders should care

Two things are happening at once. Frontier labs are demonstrating capability jumps that justify the current AI capex cycle, and the same jumps are pulling forward the political and regulatory conversation around safety, alignment, and possible pauses.

Either narrative can move the tape. A capability breakthrough tends to lift compute, power, and hyperscaler names, while a serious extinction-risk headline can hit sentiment across the same basket.

Benchmarks are collapsing fast

The trajectory has been vertiginous: when Epoch AI launched FrontierMath in late 2024, the best AI models could solve under 2% of its problems. The benchmark was deliberately constructed to be unsolvable by existing systems, featuring 350 original problems spanning undergraduate through research-level mathematics.

That kind of curve is what is convincing researchers, and now mainstream press, that the timelines have shortened.

Options market and stocks to watch

Watch for reaction across the AI complex on any follow-through coverage:

• MSFT: primary backer of OpenAI, watch for flow tied to any capability or safety headline out of the lab.
• GOOGL: DeepMind is a direct competitor in the math and reasoning race, watch for relative-strength moves versus MSFT.
• NVDA: still the pick-and-shovel name, watch for how the market prices further capability jumps against any new safety or regulatory chatter.
• AMZN: Anthropic backer, watch for spillover if the extinction-risk framing gets picked up more broadly.
• PLTR: often trades as an AI sentiment proxy, watch for beta moves on any AI-headline day.

For more on the AI trade and other stories, see Unusual Whales news.

Want more market intelligence? Create your free Unusual Whales account for options flow, market tide, GEX, and the full toolkit.