Could Meta Double by 2030? The Answer Depends on AI Returns, Not Revenue Alone

A case for Meta doubling by 2030 can be built, but the thesis is not simply that advertising revenue will keep growing. The harder question is whether the company earns an attractive return on one of the largest AI investment programs in corporate history.

The supplied source says second-quarter 2026 revenue grew 28% year over year to $60.8 billion. That is the kind of top-line growth that can support a long-term compounder.

At the same time, expenses rose sharply as Meta accelerated investment. The source cites $31.1 billion of quarterly capital expenditure and a full-year 2026 capital budget of $130 billion to $145 billion. Free cash flow fell to just $784 million from $8.55 billion a year earlier, while operating margin compressed to 31%.

That cash-flow decline is the clearest evidence of the near-term cost of the AI buildout. Meta had already warned earlier in the year that infrastructure spending would rise because of higher component pricing and additional data-center capacity. The size of the program means investors need to evaluate more than short-term EPS.

The bull case is that AI improves several businesses at once. Better recommendation systems can increase engagement, more effective ad targeting can raise advertiser returns, and AI assistants could create new products across WhatsApp, Instagram and Facebook.

The risk is that spending grows faster than monetization. Data centers and chips depreciate, talent costs remain high, and competition can force Meta to keep investing even if the direct revenue contribution takes longer than expected.

A doubling by 2030 does not require an extreme outcome if earnings grow strongly for several years. But the path becomes much harder if operating margins remain under pressure and free cash flow stays weak.

Reality Labs adds another layer of capital allocation risk because the company continues to fund long-duration projects outside the core advertising business.

Investors should focus on three measures: revenue growth, operating margin and free cash flow after AI capital spending. If all three improve together, the long-term valuation case becomes much stronger.

BTI’s bottom line: Meta can plausibly be worth much more by 2030, but the decisive variable is return on AI investment. Revenue growth alone will not justify the current spending cycle if margins and free cash flow fail to recover.