Meta has pushed its Avocado model to at least May, and the delay is starting to look like a signal that massive AI spending still does not guarantee frontier-level output on time.
Meta has delayed the rollout of its Avocado model to at least May after the system reportedly fell short internally. Reuters says the model had been expected earlier this year, but performance issues forced the company to push the release back. The same report says Meta’s leadership has even discussed the possibility of licensing Google’s Gemini technology temporarily for some of its AI products, which is the kind of move that tells you internal timelines are under real pressure.
What makes the story more interesting is the scale of Meta’s spending. Reuters notes that the company is still planning capital expenditures in the range of $115 billion to $135 billion this year, largely tied to AI infrastructure and its broader superintelligence push. In theory, that level of investment should buy speed and competitive momentum. In practice, Avocado shows that money buys attempts, not certainty.
The delay lands at a bad moment for Meta because the AI market has become extremely impatient. It is no longer enough to promise that progress is coming later in the year. If rivals are shipping and your own roadmap slips, the market reads that as weakness, not patience.
