Bill Ackman Explains His Conviction in Alphabet, Amazon, and Meta Amid AI Spending Scrutiny

Ackman Stands Behind Big Tech as Wall Street Grows Skeptical of AI Costs

Billionaire investor Bill Ackman used a recent Forbes Iconoclast interview to defend his firm's significant exposure to Alphabet (GOOG), Amazon (AMZN), and Meta Platforms (META), even as broader market sentiment toward mega-cap tech has turned increasingly cautious heading into mid-2026.

The comments carry weight at a moment when Wall Street has shifted from rewarding AI ambition to demanding proof of returns. After a massive rally in large-cap technology names, investors are now scrutinizing whether the billions flowing into data centers, chips, and AI infrastructure will generate meaningful profits — or simply inflate costs.

What Pershing Square Actually Holds

According to 13F filing data compiled by 13Finfo, Pershing Square's Q1 2026 portfolio — valued at approximately $13.7 billion — showed Amazon representing roughly 17% of holdings, Meta at around 11.1%, and a significantly reduced Alphabet position making up just 0.8% of the portfolio when combining Class A and C shares. Together, those three names accounted for nearly 29% of the firm's disclosed U.S.-listed equity holdings.

When factoring in Pershing Square's newer Microsoft position, Big Tech broadly represents somewhere between 40% and 45% of the firm's disclosed domestic equity exposure — a substantial concentration by any measure.

Notably, Reuters has reported that by Q2, Pershing Square may have fully exited its Alphabet position, suggesting the portfolio has continued to evolve since that Q1 snapshot.

The Core Argument: Mispriced Quality

Ackman's rationale for entering these positions centers on a specific dynamic he described in the Forbes interview — valuations declined precisely as business fundamentals were improving.

"Pershing Square had admired these companies for years, but they were never cheap enough," he noted. The AI spending cycle, which spooked many investors, created the kind of temporary disconnect between price and quality that Ackman's investment philosophy is built to exploit.

This approach isn't traditional value investing in the Benjamin Graham mold. Rather, Ackman's strategy has historically involved acquiring minority stakes in dominant businesses during periods of market anxiety, then supporting management in creating long-term value.

"The core strategy of Pershing Square has always been buying minority stakes in pretty big companies and helping make them more successful," Ackman said directly.

For context, Alphabet has posted double-digit year-to-date gains as of mid-2026, Amazon has advanced more modestly, and Meta has remained in negative territory for the year — a divergence that illustrates how differently the market has priced each company's AI spending narrative.

Why the AI Model Race May Be the Wrong Focus

One of Ackman's more nuanced observations involved stepping back from the debate over which AI model will ultimately dominate. Rather than betting on a specific platform winner, he framed the infrastructure underlying all of them as the more durable opportunity.

"It's not clear which frontier model is going to be the winner and whether there will be a winner," he said, pointing out that leadership has already shifted — from OpenAI's early dominance, to Google's response, to what he described as Anthropic currently holding the position of "lead horse."

His conclusion, however, moved past any single model. "One thing's clear: all of these companies require massive amounts of compute," Ackman said. In his view, cloud infrastructure represents the "most scalable, safest place to get access to that kind of compute" — a framing that positions Amazon Web Services and Google Cloud as structural beneficiaries regardless of which AI applications ultimately win consumer adoption.

Meta's Different Role in the Thesis

Meta doesn't fit the cloud infrastructure narrative as neatly as Alphabet or Amazon, but analysts note it may represent a different dimension of the same broader argument. The company trades at roughly 18 times forward non-GAAP earnings — the most accessible valuation of the three — which data suggests could reflect heightened investor skepticism about whether its AI capital expenditures will generate comparable returns to cloud-native businesses.

Bloomberg has reported that Meta is actively developing a business to sell excess AI computing capacity, a move that, if executed, could reframe how investors think about the company's infrastructure spending as a potential revenue source rather than purely a cost center.

By comparison, Alphabet trades at approximately 25 times forward non-GAAP earnings, while Amazon sits at around 28 times on near-term earnings — though its lower price-to-sales multiple reflects the ongoing weight of its retail operations alongside AWS growth expectations.

Collectively, the AI Capex Picture Is Enormous

Ackman's conviction is being tested against a significant backdrop. Alphabet, Amazon, and Meta have collectively committed between $505 billion and $535 billion in capital expenditures for 2026, with a substantial portion tied directly to AI infrastructure buildout. The scale of that spending is precisely what has made cautious investors uncomfortable.

Ackman's counterpoint is that the market may be applying too much weight to near-term spending concerns and too little to what dominant platforms with billions of users could ultimately monetize from their AI investments over time.

What Investors Are Watching

Going forward, the key indicators for this thesis will be cloud revenue growth rates at AWS and Google Cloud, Meta's ability to demonstrate AI-driven monetization improvements, and whether any of the firms begin providing clearer return-on-investment metrics tied to their AI infrastructure spending. The gap between Ackman's long-term orientation and the market's current demand for near-term proof points remains the central tension in this story.