According to a recent LinkedIn post from Canoe Intelligence, market sentiment around artificial intelligence may be shifting from broad experimentation toward more targeted deployment. The post cites a PYMNTS report indicating that the share of companies only considering AI for core functions declined from 52% to 30%, with 23% of projects moving into the deployment phase.
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The company’s post positions this trend as a maturation of the AI hype cycle, where clearer use cases drive production-grade adoption. Canoe Intelligence links this context to its almost decade-long use of AI to structure unstructured data in alternative investments, suggesting an established technological base that could support new AI solutions in the alts space.
For investors, the post implies that Canoe Intelligence may be competitively exposed to the more durable, post-hype phase of AI adoption in alternative assets. If enterprises continue to move AI projects from pilot to production, demand for robust data infrastructure and automation tools in alts could support Canoe’s growth prospects and reinforce its positioning as an experienced AI-driven provider in a specialized segment.