Angelina YangFounder and Host, TwoSetAI · AI builder for visibility and discoverability

Why 2025 Was the Year Enterprise AI POCs Failed

27 Jul 2026 · 1 min

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In this monologue, the speaker argues that 2025 marked a widespread failure of enterprise AI proof‑of‑concepts (POCs). He cites an anecdote from a Brazilian mining company whose AI pilots did not deliver expected outcomes. He observes that around late 2025 the term “context graph” surged in usage, coinciding with enterprises conducting year‑end reviews of their AI projects and asking why they fell short. The speaker suggests the industry’s answer converged on the idea that “context is all you need,” leading to a focus on how to structure context. This, in turn, revived interest in neuro‑symbolic AI approaches as a potential solution, positioning them as the next direction for enterprise AI after the POC failures.

Chapters

Bluntly, 2025 was the year that AI POCs failed. We're hearing that time and time again. I've had so many people reach out. I even had somebody reach out from a mining company in Brazil and they said they had done a bunch of AI POCs and they all didn't really get the results that they wanted. If you look at the timelines, this term context graph really exploded around like November or December. And what's probably happening, all these enterprises are doing their year-end reviews And they're looking at all these AI POCs going, "Well, none of this worked. Why?" And it seems the answer has converged onto context is all you need. And then it becomes, "Well, how do we structure the context?" And people going, "Oh yeah, that whole neuro-symbolic AI thing, I think they were right." And here we are.