AI Strategy for Leaders: People-First in 2026
AI strategy in 2026 is less about picking shiny tools and more about people-first leadership: clear ownership, a federated AI governance model, data readiness, an operating model that can ship, and a measurable portfolio of high-ROI use cases. Treat AI as a leadership skill, build an AI workforce that pairs humans with AI workers/agents, and measure business outcomes early—because adoption without EBIT impact is just expensive enthusiasm.
A Practical Data + AI Strategy Guide for 2026
In 2026, I build AI Strategy around governed data estates, flexible LLM choices, and a people-first approach: tighten governance (lineage, policies, zero-trust), scale high-quality AI agents, and invest in “AI factories” so use cases move from pilot to production without chaos.
Operations AI Strategy Guide for Real-World Wins
If you remember nothing else: start with high-ROI, rules-and-rework-heavy workflows; put an enabling AI governance framework in place; get your data platform readiness honest; run business-led AI deployment with clear owners; and prove value with ROI tracking measurement (an “AI P&L”) every quarter.