The RevOps 'Behind on AI' Panic Is a Governance Gap, Not a Skills Gap

Jeff Ignacio, writing in his RevOps Impact newsletter, argues the anxiety RevOps professionals feel about being “behind” on AI is driven by social-media narrative, not actual competitive disadvantage — and backs it with numbers. Momentum’s 2026 report found 88% of teams claim to have adopted AI, but only 24% have embedded it into real workflows. Default’s H1 2026 report found nearly 25% of organizations have no clear owner responsible for AI adoption at all. A RevOps Careers analysis of 1,890 U.S. job postings found only 8% mention AI as of Q1 2026.

Ignacio’s sharpest line is his description of what most “AI implementation” actually looks like: one person with a chat window open next to their CRM tab, manually copying output back and forth. He cites Samsara as a counterexample, crediting its results to unified ownership spanning data, AI, and operations functions rather than tool sophistication. His diagnosis is that the real problem isn’t a skills gap, it’s a governance gap — nobody owns accountability for the tools already in place. His recommendation: inventory current AI tools, assign clear ownership, and spend 90 days on foundational data work before chasing advanced use cases or certifications.

That’s the individual-contributor version of what Forrester’s Christina Schmitt argued at the enterprise level three weeks earlier: “the hardest AI decision is no longer what to build — it’s what to ignore.” Schmitt found that organizations making real AI progress win on governance, clear ownership, and operational readiness — not technical capability. Same root cause showing up at two altitudes: an 88%-claim-adoption, 24%-real-adoption gap at the team level, and a sprawling, unpruned pilot portfolio at the enterprise level. Neither gets fixed by finding a better tool. Both get fixed by someone actually owning the decision of what to stop doing.