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AI eats the world
Big tech is funneling $700 billion into AI this year, but foundational models are commoditizing quickly as real value shifts to applications and agents.
What: Big tech companies are investing an estimated $700 billion in AI capital expenditures this year, with the consensus being that under-investing is the greater risk. The article notes that foundation models are rapidly becoming commoditized, and the primary value is moving up the stack towards applications, agents, and workflow integrations.
Why it matters: This indicates a maturing AI market where the foundational technology is no longer the sole differentiator, pushing companies to find value in practical, deeply integrated applications rather than just raw model power.
Takeaway: Consider focusing AI development on specific applications, agentic systems, or workflow integrations rather than solely on foundational model development or generic API usage.
Original article
Big tech is pouring around $700 billion into AI capital expenditures this year. Under-investing is seen as the bigger risk. Foundation models are commoditizing fast, and real value is shifting up the stack to applications, agents, and workflows. Adoption is wide, but shallow. Deep integration is still rare outside of tech and finance.
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