The technology giant Meta is charting a course toward greater independence in artificial intelligence hardware, but significant software delays are forcing the company to consider an unexpected partnership with a key rival. This tension between ambitious infrastructure spending and lagging internal development is shaping the company’s costly path forward in the competitive AI landscape.
Massive Capital Expenditure for In-House Chips
A central pillar of Meta’s strategy involves reducing reliance on external hardware suppliers. The company has outlined an aggressive roadmap for its proprietary MTIA (Meta Training and Inference Accelerator) chips, with plans to launch four new generations by 2027. Targeting a rapid release cycle of just six months, the goal is to consistently enhance the performance of its internal recommendation algorithms. This ambitious hardware push comes with a staggering price tag: management anticipates capital expenditures to reach between $115 billion and $135 billion for the 2026 fiscal year.
Internal AI Model “Avocado” Falls Behind
While hardware plans advance, the development of corresponding AI software is encountering obstacles. An internal project codenamed “Avocado,” which represents Meta’s next major large language model, is reportedly missing performance targets. Its launch has been delayed from March to at least May, according to media reports. This growing gap between hardware capability and software readiness is prompting unusual contingency measures. To avoid falling behind in consumer-facing AI features, internal discussions are reportedly underway regarding a potential interim licensing deal for Google’s Gemini AI model. Such a move would highlight the substantial technical challenges inherent in building a fully independent, end-to-end AI ecosystem.
Should investors sell immediately? Or is it worth buying Meta?
High Costs for Data and a Cautious Market Reaction
Beyond infrastructure, Meta is also securing high-quality training data at considerable expense. A newly signed licensing agreement with News Corp, valued at up to $50 million annually, guarantees access to content from publications like The Wall Street Journal. Investors are carefully weighing this complex mix of massive investment and operational delays. Following a closing price of 555.70 euros, Meta’s shares show a slight monthly decline of 1.35 percent. Even significant administrative issues, such as a revived $16 billion tax dispute with the U.S. IRS, are being overshadowed by these strategic AI challenges.
The planned May launch of the “Avocado” model now serves as a critical benchmark for Meta’s internal development teams. Until then, the company must navigate a difficult balancing act: funneling billions into its own data center infrastructure while potentially relying on a competitor’s technology to bridge its software gap.
Ad
Meta Stock: Buy or Sell?! New Meta Analysis from March 13 delivers the answer:
The latest Meta figures speak for themselves: Urgent action needed for Meta investors. Is it worth buying or should you sell? Find out what to do now in the current free analysis from March 13.
Meta: Buy or sell? Read more here...
