Microsoft and Meta are taking sharply different paths to fuel their artificial intelligence ambitions, signaling a new phase in the AI arms race that could have ripple effects across tech and crypto markets. Microsoft used its Build 2026 conference to unveil seven new in-house AI models, reducing its dependency on OpenAI and Anthropic, while Meta is reportedly weighing a multibillion-dollar equity offering to sustain its soaring AI infrastructure spending.
Microsoft’s self-built models, including MAI-Code-1 and MAI-Thinking-1, are designed for fine-tuning and cost efficiency. TD Cowen analyst reaffirmed a Buy rating and $540 price target on MSFT, saying the move explains why GPU capacity had been allocated to internal R&D rather than external labs. The company also introduced Microsoft Scout, an agentic AI assistant, and deepened ties with Nvidia on AI PCs and Azure infrastructure. Q3 results further bolstered the bullish case: EPS of $4.27 beat estimates by $0.21, and revenue jumped 18.3% year-over-year to $82.89 billion.
In contrast, Meta shares dropped over 5% on Friday after a Financial Times report that the company is exploring a stock offering to raise tens of billions of dollars for AI. CFO Susan Li and president Dina Powell McCormick are leading the discussions, which have examined Alphabet’s recent $85 billion mandatory convertible preferred structure. Meta has already issued about $55 billion in debt over the past year, including a $27 billion bond deal with Blue Owl for a Louisiana data center, and halted its buyback program to conserve cash. A spokesperson called the report “pure speculation,” but CEO Mark Zuckerberg’s vision of “personal superintelligence” across Facebook, WhatsApp, and Instagram justifies a 2026 capex guidance of up to $145 billion, with spending potentially climbing even higher in 2027.
Together, the news underscores the immense capital demands of leading AI, as US equity markets brace for potential IPOs from SpaceX, Anthropic, and OpenAI. For the crypto sector, the accelerating AI investment boom could further drive demand for decentralized compute and AI-related blockchain projects.
