Leopold Aschenbrenner's June 2024 prediction about Google's AI-driven growth has come true in striking fashion. When the researcher left OpenAI's superalignment team and declared that Alphabet stock would "explode" once the company generated $100 billion in AI revenue, Google was trading at $173.81. Today, shares sit at $359.68, a 107% gain that validates his thesis about how the market would finally care about Google's AI work once it showed up in the revenue line.

What Changed in Google's Business Since the Prediction?

The turning point came when Google's AI investments began translating into measurable business results. Google Cloud, the closest proxy for AI revenue since the company doesn't break out a separate AI line item, delivered the proof. In the first quarter of 2026, Cloud revenue hit $20.03 billion, up 63% year-over-year, with a contracted backlog nearly doubling to over $460 billion. This backlog represents future revenue that's already locked in, much of it tied to AI infrastructure and Gemini workloads.

The growth trajectory tells the story. Cloud revenue growth accelerated from 32% in Q2 2025 to 34% in Q3, then 48% in Q4, and finally 63% in Q1 2026. CEO Sundar Pichai captured the moment on the earnings call, stating that "Our AI investments and full stack approach are lighting up every part of the business".

Sundar Pichai

"Our AI investments and full stack approach are lighting up every part of the business," said Sundar Pichai.

Sundar Pichai, CEO at Alphabet

Beyond the enterprise cloud business, Google's consumer and developer AI products are compounding. The Gemini App crossed 750 million monthly active users by the end of 2025. API usage hit 16 billion tokens per minute, up 60% from the prior quarter. Gemini Enterprise paid monthly active users grew 40% quarter-over-quarter. Perhaps most surprising, Search revenue, which many feared would get cannibalized by AI chatbots, actually accelerated to 19% growth as AI Overviews and AI Mode rolled out globally.

How Is Google Funding This AI Expansion?

The cost of becoming the AI infrastructure layer is staggering. Capital expenditure more than doubled in Q1 2026 to $35.67 billion, up 107% year-over-year. Management guided full-year 2026 capex of $175 to $185 billion. Free cash flow in Q1 fell 47% year-over-year, a significant drag on profitability despite the revenue growth.

• Capital Intensity: Q1 2026 capex doubled to $35.67 billion, up 107% year-over-year, as Google builds out AI infrastructure globally
• Cash Flow Pressure: Free cash flow declined 47% year-over-year in Q1 2026 despite strong revenue growth, reflecting the enormous investment required
• Full-Year Guidance: Management expects capex of $175 to $185 billion for all of 2026, signaling sustained heavy investment in AI compute

For full-year 2025, Alphabet crossed $400 billion in annual revenue for the first time, finishing at $402.84 billion. Yet the company is spending at a pace that tests investor patience. Other Bets losses widened, and insider activity shows net selling across 160 transactions, suggesting some executives are cautious about near-term returns.

What Do Investors Think About Google's Next Phase?

Wall Street remains largely bullish, with 57 buy or strong buy ratings against 7 holds and zero sells. The average analyst price target sits at $432.83, implying further upside from current levels. Alphabet trades at a forward price-to-earnings ratio of 26, a premium that reflects confidence in the AI thesis.

Yet prediction markets reveal underlying tension. Polymarket traders give only a 0.34 probability that Google hits $340 in June 2026, suggesting the market has already priced in significant gains. The crowd also assigns just a 0.049 probability that Google is first to put an AI model at 1550 on Chatbot Arena this year, indicating skepticism about Google's ability to lead on raw AI capability benchmarks.

Aschenbrenner's original prediction has largely played out on revenue and share price. The forward question is whether the massive capex cycle pays back. If the Cloud backlog converts to revenue and Gemini keeps compounding API usage, the second leg of the "explode" call is still ahead. If capex outruns monetization, the next year will test whether this thesis holds. Either way, the researcher who walked out of an AI lab in 2024 to bet on the incumbents looks considerably smarter today than he did then.

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