Harvard Business Review LogoRhuby DearLeaders can’t afford to take a “wait and see” approach to adopting generative AI. They need a plan for applying it differently than others in the value chain, say the authors. InThe questions about generative AI that we hear most often from business leaders include: When will gen AI match the intelligence of my best employees? Is it accurate enough to deliver business value? Is my CIO moving fast enough to lead our AI transformation? What are my rivals doing with gen AI? But those questions are misdirected. They focus on the intelligence of gen AI and its trajectory—how good gen AI is and how fast it’s improving—rather than on its implications for business strategy. What leaders should be asking is this: How can my organization use gen AI effectively today, regardless of its limitations? And how can we use it to create a competitive advantage?
The Gen AI Playbook for Organizations
Leaders can’t afford to take a “wait and see” approach to adopting generative AI. They need a plan for applying it differently than others in the value chain, say the authors. In this article they introduce a framework for thinking about gen AI strategically and offer practical advice on how to apply gen AI to the tasks composing jobs. The framework focuses on two factors: the cost of errors and the type of knowledge required. If an error in carrying out a task would lead to serious harm, financial loss, or reputational damage, firms must be cautious about employing gen AI to perform it without human oversight. Tasks that rely on explicit data (information that can be captured and processed) are well suited for gen AI. But other tasks are fundamentally harder for it to perform because they involve not just retrieving information but also applying tacit knowledge: empathy, ethical reasoning, intuition, and contextual judgment. Placing the tasks in the appropriate quadrant makes it clear which ones gen AI can handle faster, cheaper, or better.
Leaders must implement gen AI with differentiated strategies; competitive advantage belongs to early adopters, not those waiting. Tech managers should prioritize implementation over research—early movers gain market advantage versus 'wait and see' competitors.
