AI adoption inside companies feels much slower than AI adoption online

Reddit r/artificial News

Summary

The article highlights a disconnect between the perceived rapid AI adoption online and the slower, more cautious integration of AI into real company workflows, where trust, governance, and reliability are key concerns.

Online it feels like every company is fully embracing AI. In reality, most organizations I interact with are still trying to figure out where it fits into existing workflows, processes and software. The interesting conversations aren't usually about models anymore. They're about trust, reliability, permissions, governance and how AI fits into the way people already work. The gap between AI demos and real-world adoption still feels larger than most people realize.
Original Article

Similar Articles

AI adoption curve by company size

Reddit r/ArtificialInteligence

The article highlights an observation from a Ramp report showing that large businesses currently lead in AI adoption, contrary to the expectation that small businesses might have higher adoption rates.

I think most companies are building AI backwards

Reddit r/artificial

The article argues that companies are overinvested in AI intelligence (model capability) while neglecting crucial runtime layers for authority, accountability, and reality representation, leading to potential failures when AI acts within institutions.

Agentic AI in Big Tech and Enterprise

Reddit r/AI_Agents

A firsthand perspective from an enterprise R&D manager on the realities of AI adoption in large companies, highlighting gaps between executive expectations and actual productivity improvements, and the challenges of getting teams to use AI tools effectively.