AI Adoption's Real Bottleneck Isn't the Model, It's Messy Enterprise Data
Rajxai · reddit · 2026-10-07
The author argues the industry overweights model, agent, and framework choices while enterprise data reality is far messier: the same customer looks different across three systems, key info sits in PDFs, emails, and legacy databases, teams use the same words differently, and much context is undocumented. They've seen companies spend weeks evaluating models without defining what data AI should work on. Data readiness, not model choice, will be the decisive unglamorous work of AI adoption.
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