17/02/2026
In our work with organizations, we see a growing gap between enthusiasm for GenAI and clarity about how to use it well.
This is where strategy—not tools—becomes the critical differentiator.
In The Gen AI Playbook for Organizations, Bharat N. Anand and Andy Wu offer a clear guideline for closing that gap, shifting the conversation away from AI’s imperfections and toward disciplined choices about where GenAI can create value today—and where human judgment must remain central.
The authors argue that waiting for GenAI to become flawless is a strategic mistake. The more important question is not how good the technology is, but how intentionally it is deployed. Their framework helps leaders move beyond experimentation by grounding GenAI decisions in two factors that matter deeply for organizations: the type of knowledge required and the cost of errors.
The authors tell us what this means in practice:
- Value can be created now, even with imperfect AI, when use cases are chosen relative to current ways of working—not against an ideal of perfection.
- The cost of errors matters more than error rates in deciding where AI can operate autonomously versus where human oversight is essential.
- Human–AI collaboration is often the highest-impact model, particularly in work shaped by context, judgment, and accountability.
- Competitive advantage will come from using GenAI differently, supported by organizational design, data, culture, and leadership—not from access to the technology itself.
A timely reminder that GenAI is not a shortcut to better outcomes, but a strategic capability—one that only delivers impact when thoughtfully aligned with people, processes, and purpose.
Source:
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 t...
