Key Takeaways:
Google DeepMind's chief expects artificial general intelligence within three years, a shift he says will create a post-scarcity economy.
Artificial general intelligence is just a few years away and will bring a post-scarcity world, Google DeepMind Chief Executive Officer Demis Hassabis said, warning that society has limited time to prepare for the transformation.
"We don't have much time to prepare for the new human era," Hassabis said. The CEO of Google's AI division described AGI — systems that match or exceed human cognitive ability across most tasks — as an inevitability within this decade.
Hassabis's timeline aligns with forecasts from other AI leaders. OpenAI Chief Executive Officer Sam Altman has projected AGI could arrive by 2027 or 2028, while Anthropic CEO Dario Amodei has described a "powerful AI" by 2026. The convergence of timelines from the industry's three largest private AI labs underscores the pace of investment: Google parent Alphabet Inc. spent $75 billion on capital expenditures in 2025, much of it directed at AI infrastructure, while Microsoft Corp. and Amazon.com Inc. committed a combined $120 billion to data center buildouts.
A post-scarcity world — where AI handles most cognitive labor and dramatically reduces the cost of goods and services — would reshape global GDP, employment, and wealth distribution. The International Monetary Fund has estimated that 40% of global jobs could be affected by AI, while the McKinsey Global Institute projects that 12 million US workers may need to switch occupations by 2030 because of automation.
The AGI timeline debate has divided the technology industry. Meta Platforms Inc. Chief AI Scientist Yann LeCun has argued that current large language models lack the reasoning capabilities needed for AGI, calling predictions of near-term arrival premature. Hassabis's position places Google DeepMind closer to the optimistic camp, alongside OpenAI and Anthropic.
The Investment Case for AGI
The economic implications are already visible in capital allocation. Nvidia Corp., whose graphics processing units power most AI training workloads, reported data center revenue of $47.5 billion in its most recent fiscal year, more than triple the prior year's total. Alphabet trades at 22 times forward earnings, a discount to Microsoft at 31 times, as investors weigh the cost of Google's AI infrastructure spending against potential revenue from AI-powered services.
Goldman Sachs estimates that widespread AGI adoption could boost annual global GDP by 7%, or roughly $7 trillion, within a decade of arrival. For investors, the AGI timeline dictates the pace of infrastructure spending. If Hassabis is right and AGI arrives by 2029, the current $300 billion annual AI infrastructure buildout may prove insufficient. If he is wrong, the industry risks a capex bubble reminiscent of the dot-com era, when telecommunications companies spent $500 billion on fiber optic networks that took years to reach full utilization.
This article is for informational purposes only and does not constitute investment advice.
