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Despite $2.5 trillion in projected global AI spending in 2026, MIT's NANDA Initiative reports 95% of enterprise generative AI projects deliver zero measurable ROI, with a practitioner's first-hand analysis of 14 engagements pointing to misallocated budgets favoring model work over data infrastructure as the root cause.
Jerry Liu, CEO of LlamaIndex, discusses on the Venture with Grace podcast why data infrastructure is crucial for the agentic AI boom, emphasizing that AI agents need access to the right data at the right time.
Judgment Labs is launching today with a $32M funding round, providing infrastructure to improve AI agents using production data.
The article argues that AI inference poses unique challenges to cloud data infrastructure, likening its demand to high-concurrency OLTP systems rather than traditional human-speed applications. It emphasizes the need to optimize storage and data access layers to handle the 'AI data tsunami' driven by autonomous agents.