Meta is betting $14 billion（約2.2兆円） on AI to create a new growth engine beyond advertising, but investors want proof the spending will pay off.

What happened: CEO Mark Zuckerberg has invested heavily in AI talent and infrastructure over the past year, including launching Muse Spark, the company's latest proprietary AI model. Investors are now pressing for evidence that AI can generate meaningful new revenue rather than just improve Meta's existing advertising business.

Why it matters: Meta has a track record of large-scale spending that hasn't delivered returns—Reality Labs has accumulated more than $80 billion（約13兆円） in cumulative losses. This time, investors are watching closely for signs that AI will actually become a standalone profit driver, not just another long-term bet. The company does have reach across Facebook, Instagram, WhatsApp, and AI-enabled devices, but the question is whether it can convert that audience into revenue beyond ads.

What to watch: The next phase of Meta's AI story will be measured by adoption, monetization, and financial returns rather than technological breakthroughs alone. Success depends on whether Meta can turn its billions of users into customers for AI-powered products and services.