HBR Strategy Summit 2026: Turning AI Skepticism Into Momentum

Why It Matters

By reframing AI as a catalyst for higher‑value work and embedding it through gamified, role‑specific pilots, firms can overcome resistance, retain talent, and gain a competitive edge in the rapidly evolving digital economy.

Key Takeaways

• Address AI fears by emphasizing role enrichment, not layoffs.
• Gamify cross‑functional AI adoption to boost engagement and momentum.
• Small, role‑specific experiments make AI change feel achievable.
• Celebrate both pioneers and collaborators to sustain cultural buy‑in.
• Prevent daily urgencies from eclipsing strategic AI workflow redesign.

Summary

At the HBR Strategy Summit 2026, leaders discussed how firms can convert widespread AI skepticism into actionable momentum by redesigning internal rollout strategies. The conversation highlighted the danger of letting routine urgencies drown out thoughtful workflow redesign, and emphasized framing AI as a tool for enriching, not eliminating, jobs.

Key insights included deliberately messaging that AI adoption will free employees to focus on higher‑order priorities, gamifying participation across sales, operations, and marketing, and launching small, role‑specific pilots that demonstrate quick wins. By celebrating both the early adopters who “stormed ahead” and the collaborators who translated customer problems into solutions, companies created a culture of shared ownership.

A memorable quote from the panelist summed the approach: “It’s not about making job cuts; it’s about giving us all the time back to work on deeper customer relationships.” The speaker cited concrete examples of gamified contests and micro‑experiments that turned abstract AI benefits into tangible, achievable outcomes.

The implications are clear: organizations that manage fear, incentivize cross‑functional engagement, and prioritize incremental experiments will accelerate AI integration, protect talent morale, and unlock strategic value faster than competitors stuck in status‑quo thinking.

Original Description

When leaders talk about AI efficiency, employees often hear: job cuts. Jennifer Moll, chief strategy officer at DTEX Systems, shares how her team reframed AI adoption to focus on deeper work, experimentation, and momentum.

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