Meta has repeatedly delayed the release of its Muse Spark API to developers due to bugs and infrastructure...

Meta has repeatedly delayed the release of its Muse Spark API to developers due to bugs and infrastructure requirements, according to a Wall Street Journal report. The shifting timeline is a setback for Meta's ability to monetize its massive AI investments. While Meta says it plans to release the API this month, the delays suggest underlying technical challenges that could slow developer adoption and reduce near-term inference demand. This comes as Meta simultaneously pushes AI agents with its Business Agent rollout and WhatsApp integrations (Digitimes, FT), but the model delay introduces uncertainty around the pace of AI-driven revenue growth. For AI infrastructure suppliers like NVDA, AMD, and TSM, any tempering of Meta's model deployment cadence could moderate GPU and chip demand. The Q1 2026 earnings filing showed strong revenue ($42.3B) and net income ($16.6B) (SEC), but the API delay highlights execution risk. This is a single-source, low-confidence signal pending corroboration.