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# AI adoption is table stakes, but leverage is the differentiator

**[Dev Interrupted](https://daily.dev/sources/devinterrupted)** · 10 min read · 0 upvotes · 0 comments

## Summary

Most engineering orgs have adopted AI tools, but adoption rates alone don't translate to productivity gains. Data from LinearB's 2026 benchmarks shows high AI usage correlates with a 1.7–2.2x lift in PR merge rate, while light usage shows no measurable lift. Three engineering leaders — Angie Jones (Agentic AI Foundation), Balaji Srinivasan (LinkedIn), and Rebecca Murphey (Honeycomb) — explain that the real differentiator is leverage: how deeply engineers integrate AI into their workflows, not just whether they use it. Key insights include: the difference between enthusiastic adopters (task-by-task usage) and truly leveraged engineers (workflow-level improvements that benefit teammates), the bottleneck of agentic PR review capacity and how AI code review can address it, and why replicating top performers requires team-specific enablement on real work rather than broad exposure. All three leaders advocate replacing activity metrics like adoption rates, PR counts, and token usage with measures of delivered value.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://devinterrupted.substack.com/p/ai-adoption-is-table-stakes-but-leverage>

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---

Tags: [#ai-coding](https://daily.dev/tags/ai-coding), [#code-review](https://daily.dev/tags/code-review), [#agentic-ai](https://daily.dev/tags/agentic-ai)

[View this post on daily.dev](https://daily.dev/posts/ai-adoption-is-table-stakes-but-leverage-is-the-differentiator-v3i5igfsk)

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