Engineering Enablement by Abi Noda The biggest obstacles preventing GenAI adoption — and how to overcome them
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Jun 6, 2025 Laura Tacho, CTO at DX, shares her expertise on overcoming barriers to AI adoption in engineering teams. She identifies that fear, unclear expectations, and inflated hype often stall progress, rather than technical challenges. Tacho emphasizes the importance of modeling usage from leadership, building momentum through training programs, and measuring impact effectively. Her practical strategies include establishing baselines and fostering a supportive culture for experimentation. This insightful conversation reveals how to navigate the complexities of integrating AI in the workplace.
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Hype Hindering AI Adoption
- Hype around AI creates inflated expectations that lead to early disappointment and tool abandonment.
- Real adoption is hindered more by cultural and expectation gaps than technical issues.
Current State of AI Adoption
- Adoption rates are still below hype, with around 60-70% AI use in top organizations.
- Tools improve daily, but skepticism on code reliability limits full trust and usage.
Measure Before and After AI
- Measure AI usage impact starting with what data you have, using self-reports and telemetry.
- Understand real tool effect by comparing before and after introduction baselines.