Microsoft's stock soared 15% Thursday as the company demonstrated that its massive artificial intelligence investments are finally generating returns, while Meta's shares plummeted 9% after the social media giant missed earnings expectations and signaled mounting costs ahead.
The divergence reveals a widening gap in how the two tech giants are managing the expensive race to dominate AI—and who's bearing the burden of that competition.
Microsoft posted fiscal fourth-quarter revenue that beat analyst estimates and reported 43% growth at its key Azure cloud business, which also exceeded market expectations. The company now has over 30 million paid seats for Microsoft 365 Copilot, its AI work assistant, up from more than 20 million as of April. "Microsoft's strong revenue performance, combined with accelerating Copilot adoption, signals that its $190 billion data-center buildout is beginning to deliver returns," Tracy Woo, principal analyst at Forrester, said in a note on Wednesday.
Microsoft is on track for its best day since six years ago, when it gained 18.6%. The stock rose even as the company reiterated its 2026 capital expenditure forecast and signaled a potential spending expansion in its 2027 fiscal year at a time when the market is jittery over the cost of AI. That confidence matters: investors are betting that Microsoft's infrastructure investments will continue generating revenue streams that justify the enormous upfront costs.
The Widening Cost Divide
Meta's situation tells a starkly different story. The company missed investor expectations on earnings and its revenue guidance for the current quarter. Meta expects revenue this quarter of between $61 billion and $64 billion, or $62.5 billion at the middle of the range, falling short of analyst expectations of $63.15 billion.
More troubling is the company's cash position. Meta's free cash flow plunged 91% year-on-year to $784 million as it continues to spend heavily on AI investments. That collapse in available cash signals just how much the company is burning through resources without yet seeing proportional returns.
Meta's stock is on a record losing streak, on pace to hit 11 days, and is down over 20% in that time. Investors are clearly skeptical that the company's current strategy will pay off.
Uncertain Path Forward
Meta CEO Mark Zuckerberg acknowledged the company faces a fundamental challenge: it needs to keep computing resources for itself to develop new products, yet it's also getting offers to lease excess capacity at significant premiums. He suggested Meta might consider leasing out computing capacity to third parties, but gave very few details on what that business could look like.
"Right now, the narrative from Mark Zuckerberg is a little light on detail and relying on what could be done in the future," Ben Barringer, head of technology research at Quilter Cheviot, said in a note on Thursday. "Meta still has a crucial role to play in the AI world, but it is still finding its way somewhat and that is why we see both costs and revenues looking a little volatile."
The contrast between the two companies underscores a critical question for the tech industry: which AI investment strategy actually works? Microsoft appears to have found a business model where enterprise customers will pay for AI capabilities. Meta is still searching for its equivalent.
Why This Matters:
These earnings results matter far beyond stock prices. They reveal how concentrated the AI economy is becoming and who bears the risks of that concentration. Microsoft's success in monetizing AI through enterprise products suggests that companies with existing customer relationships and recurring revenue models can absorb massive infrastructure costs. Meta's struggle indicates that companies without clear revenue streams from their AI investments face mounting pressure—and will likely cut costs elsewhere, including potentially through workforce reductions or reduced investment in other areas. For workers, consumers, and communities dependent on tech industry stability, these divergent outcomes signal that the AI boom may consolidate wealth and power among a narrower set of winners, while leaving others to absorb the costs of the transition.