How do I build an AI strategy if my leadership team doesn't have a shared understanding of AI?

When leadership lacks a shared understanding of AI, the gap is rarely technical. It's conceptual. Different executives bring different mental models: some see AI as automation that replaces jobs, others see it as a cost center, and others see it as a competitive necessity. Your first job is to create a common language, and that language should be business outcomes, not algorithms.

Frame every AI discussion around problems the leadership team already recognizes. Connect AI goals to revenue growth, cost reduction, operational efficiency, or customer experience. Replace technical jargon with terms executives already use. Instead of explaining how a model works, explain what it achieves: "This reduces manual report compilation from four hours to fifteen minutes" lands better than "This uses natural language processing to extract structured data."

Build alignment through evidence, not presentations. Launch small, low-risk pilot projects that deliver measurable quick wins. When leadership sees concrete results (processing time cut by 40%, content production doubled without additional headcount), their understanding becomes experiential rather than abstract. Share outcomes in business terms, and let skeptics see the impact firsthand.

Establish a governance framework that gives every leader a role. Define where AI will automate tasks independently versus augment human judgment. Create ethical guidelines that leadership can use to evaluate risks like bias, data privacy, and customer transparency. Assign accountability by function so that AI decisions in marketing, sales, or operations have clear ownership. This distributes responsibility and builds collective fluency.

Finally, cultivate AI literacy through direct experience. Set up workshops where leaders can interact with AI tools in low-stakes environments. Encourage participation in executive education programs focused on strategic application rather than technical depth. When leaders experiment personally, the abstract becomes concrete, and alignment follows naturally.