AI is everywhere, but the loudest takes aren't always the most useful. In this video, we break down five unpopular (and highly practical) opinions on AI drawn from David Linthicum's enterprise-focused writing—covering why "agentic AI" may be running ahead of real-world execution, why chasing hype can quietly drain budgets, and why simpler AI often delivers better near-term ROI than flashy initiatives. We also tackle the uncomfortable truth about AI returns: many organizations struggle to measure value, lack the data foundations to scale, or underestimate the operational lift required to make AI stick. Finally, we look at why cloud-based AI can feel far harder than promised—where data governance, skills gaps, and integration complexity become the real blockers.

If you're a leader, builder, or just trying to separate signal from noise, this is a grounded reality check with clear takeaways you can apply to strategy, tooling, and prioritization. Watch to the end for a simple checklist to sanity-test your AI roadmap before the next big spend. Like, subscribe, and comment: which opinion will age best?