Advanced Micro Devices will sell Anthropic tens of billions of dollars' worth of AI servers and invest as much as $5 billion in the Claude maker, marking the latest example of how aggressively Silicon Valley is chasing artificial intelligence dominance—even as the financial math grows increasingly uncertain.
The deal, announced this week, requires Anthropic to buy up to two gigawatts of AMD's latest-generation Instinct MI450 chips starting in the first half of 2027. AMD's $5 billion investment will be tied to achieving certain deployment milestones. One gigawatt of computing power—enough for roughly 750,000 U.S. homes—can cost double-digit billions of dollars, according to AMD executives. The arrangement strengthens AMD's position against rival Nvidia in a market where chipmakers increasingly invest in the AI firms that become their biggest customers. Nvidia has been in talks to invest $30 billion in ChatGPT creator OpenAI.
Anthropicfaces intense pressure to secure computing capacity. The startup has emerged as a leader in Silicon Valley's AI race, driven by strong adoption of its enterprise tools such as Claude Code. Tom Brown, co-founder and compute head at Anthropic, said, "Access to compute is central to keeping Claude at the frontier and meeting demand from our customers." The company moved aggressively in recent months to overcome capacity constraints. It agreed in May to rent the full computing power of SpaceX's Colossus 1 facility in Memphis, which houses more than 220,000 Nvidia processors and provided 300 megawatts of new capacity. Meta Platforms is also in talks to lease computing power to Anthropic in a potential deal worth up to $10 billion over two years.
Under the latest deal, Anthropic will use some AMD chips at its own data centers and lease additional capacity through cloud providers and new AI cloud companies. AMD was in talks to provide a financial backstop for Anthropic's future data-center leases. Shares of the Santa Clara, California-based company rose 2.4%, and the stock has more than doubled in value so far this year. In October, AMD announced a multi-year deal with OpenAI that would bring in tens of billions of dollars in annual revenue while giving the ChatGPT creator the option to buy up to roughly 10% of the chipmaker.
The Cash Flow Problem
Beneath the surface of this investment boom lies a troubling reality. U.S. hyperscalers—Microsoft, Alphabet, Amazon, Meta Platforms and Oracle—are expected to spend more combined on capital expenditures than they generate in free cash flow by 2027, according to a Reuters analysis of LSEG consensus estimates. The data reveals a stark imbalance: these companies will generate about $340 billion more in annual operating cash flow in 2027 than in 2025, but capex is expected to rise by roughly $534 billion. That's about $1.57 of additional investment for every $1 of additional cash flow.
This shift represents a fundamental change in how the world's most profitable technology companies operate. Shay Boloor, chief market strategist at Futurum Equities, noted that "investors are underestimating how fundamentally AI is changing the Big Tech business model." He explained: "These companies were historically valued as asset-light platforms because revenue could scale much faster than capital requirements, but AI is pushing them toward a hybrid model where software, advertising and cloud economics increasingly depend on enormous physical infrastructure spending."
Investors are watching closely as hyperscalers report earnings. Alphabet began reporting results on Wednesday, July 22, 2026, and the market will scrutinize whether rapid growth in cloud and AI revenue can keep pace with the expected spending surge. The numbers matter enormously. Current-year consensus estimates for the five companies' capex have risen from about $485 billion in January to around $730 billion in July—a 50% increase in just six months.
Early Returns and Growing Concerns
There are some signs that AI spending is paying off. Microsoft has said its AI business has surpassed a $37 billion annual revenue run rate, while Amazon reported 28% growth at its AWS unit in its first quarter. Yet the cash flow picture tells a different story. Microsoft reported $35.8 billion in operating cash flow in its fiscal second quarter while recording $37.5 billion of capital expenditures, including finance leases—spending more than it brought in.
Amazon's situation is more alarming. The company's trailing 12-month operating cash flow rose 30% to $148.5 billion in the first quarter, but free cash flow fell to $1.2 billion. That's not growth; that's deterioration masked by rising operating cash flow.
David Russell, global head of market strategy at TradeStation, cut to the heart of the concern: "Earnings growth may not be enough to justify investment if capex is depleting cash. Companies exist to make money, not spend money."
Oracle presents the most troubling case. Its shares have lost 36% so far this year as its free cash flow has turned negative. Oracle's capex as a percentage of operating cash flow has climbed from 47% in fiscal 2022 to 174% for fiscal 2026, which ended in May. The company spent $55.7 billion on capex in its most recent fiscal year against operating cash flow of just $32 billion. To fund cloud infrastructure expansion, Oracle plans to raise $45 billion to $50 billion through debt and equity.
The other hyperscalers have fared better so far. Microsoft, Alphabet and Meta still generated enough free cash flow to cover dividends and buybacks in their latest fiscal years, according to SEC filings. But that advantage could evaporate if spending remains elevated and AI monetization takes longer than expected.
Freddy Lavric, senior trader at Winthrop Capital Management, outlined the critical timeline: "Over the next two to three years, companies need to show that AI is driving incremental revenue, expanding margins and improving cash flow. If those financial benefits aren't becoming evident by then, the market will start questioning whether the investment cycle has gone too far."
Why This Matters:
The AI investment spree reveals a fundamental shift in Big Tech's business model—from asset-light software platforms to capital-intensive infrastructure companies. This transformation carries serious consequences. If hyperscalers continue spending $1.57 for every $1 of incremental cash flow while AI monetization falters, shareholder returns face pressure and debt levels could rise significantly. Oracle's negative free cash flow and 36% stock decline suggest the market is already pricing in skepticism. The capex estimates could change, but current trajectory shows consensus expectations have risen 50% in six months alone, indicating potential overbuilding. For investors and policymakers, the critical question isn't whether AI matters—it's whether the returns will justify the spending. The next two to three years will determine whether these companies are making a generational investment in transformative technology or whether they've simply shifted from one financial model to another without proving the economics work.