Microsoft 365 Copilot is a commercial failure (www.perspectives.plus)

I couldn’t load the linked article because the site was behind a Cloudflare check, but the headline — “Microsoft 365 Copilot is a commercial failure” — echoes recurring industry critiques about enterprise LLM rollouts. The piece likely argues that Copilot has underdelivered on adoption and ROI: high per‑seat pricing, limited measurable productivity gains, integration and change‑management hurdles, and customer concerns about hallucinations and data governance have slowed buy‑in from large organizations. Early adopter anecdotes and some analyst notes have pointed to pilots that didn’t scale into broad deployments, making the product’s commercial traction weaker than Microsoft expected. For the AI/ML community this is a useful corrective: it highlights that raw model capability doesn’t equal enterprise success. Technical friction points matter — integrating LLMs with enterprise data via retrieval‑augmented generation, ensuring low‑latency relevance, managing prompt engineering, enforcing compliance and data isolation, and producing auditable, repeatable business outcomes. The implication is clear for vendors and engineers: prioritize reliable grounding of generated content, measurable workflows that show time/cost savings, simpler deployment and admin tooling, and pricing tied to demonstrable value if LLM features are to move from pilots to widescale enterprise adoption.