Stock Markets March 12, 2026

Meta Pushes Back Launch of New AI Model After Performance Shortfall

Model code-named Avocado lags behind rival AI system; company may temporarily licence competitor technology

By Sofia Navarro META GOOGL
Meta Pushes Back Launch of New AI Model After Performance Shortfall
META GOOGL

Meta Platforms Inc (NASDAQ:META) has postponed the public release of its latest AI model, Avocado, after it failed to match the performance of a leading rival system. Though Avocado improves on Meta's prior models, people familiar with the matter say it trails Google's Gemini 3.0. The company has pushed the launch to at least May 2026 and is weighing a short-term arrangement to licence the competing model while it continues development. Meta has committed substantial capital to AI, including signalling up to $135 billion in AI-related spending this year.

Key Points

  • Meta delayed the release of its new AI model, Avocado, after it did not match the performance of a leading competitor model.
  • The company has postponed the launch to at least May 2026 and is considering temporarily licensing a rival model to power its AI offerings.
  • Meta has committed substantial resources to AI development, signalling up to $135 billion in AI spending this year and investing hundreds of billions in recent years on talent and computing capacity.

Meta Platforms Inc (NASDAQ:META) has delayed the planned launch of a new artificial intelligence model after internal testing showed it did not meet the performance level of top AI systems developed by competitors, according to people familiar with the situation.

The model, developed under the internal code name Avocado, represents a step forward compared with Meta's previous AI efforts. However, those familiar with the matter say its performance falls short of that achieved by a rival model, Gemini 3.0, which was introduced in November.

As a result, Meta has moved Avocado's release date out to at least May 2026. The company is also considering a temporary licensing arrangement to use the competing model to power its AI features in the near term while it continues development on Avocado.

Meta's investments in AI have been large and sustained. Company executives have built out both talent and computing capacity to support their ambitions in the field, and in January they indicated the business could spend as much as $135 billion on AI this year. Company officials have also committed hundreds of billions in recent years toward model development, talent acquisitions, and the infrastructure needed to run advanced AI workloads.

Separately, automated stock-picking tools and portfolio strategies are actively evaluating major AI-focused companies. One AI-driven strategy referenced evaluations of Alphabet Inc (GOOGL), noting that systematic models can screen thousands of companies across financial and momentum metrics to identify opportunities. That commentary highlights the level of attention being paid to the competitive landscape among major technology firms as they race to deploy new AI capabilities.

Meta's decision to delay Avocado underscores the competitive dynamics within the AI sector, where firms are measuring outcomes against rival systems and weighing near-term product options, including temporary third-party licensing, to maintain service continuity.


Note: This report is based on accounts from people familiar with the matter and on statements about the company's previously announced AI spending plans.

Risks

  • Product risk: Avocado's underperformance relative to a rival model may delay rollouts of AI-powered features and affect competitiveness in the technology sector.
  • Operational dependency: Considering a temporary licence of a competitor's model could increase short-term reliance on an external technology provider for AI capabilities.
  • Capital exposure: Continued heavy investment in AI infrastructure and talent, including a potential $135 billion spend this year, carries financial commitment risk for the company and affects investor assessments in the tech and AI infrastructure markets.

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