The conversation around Artificial Intelligence often centers on a few repetitive questions: Which model is the smartest? Which chip is the fastest? Which lab will reach the next breakthrough first?
Inside AI Strategy That Wins
Originating as a series of essays written for his blog (blog.sharmavishal.com) and LinkedIn newsletter (Strategic Foresight), Sharma consolidates critical enterprise case studies, examining giants like Microsoft, NVIDIA, Amazon, Salesforce, Palantir, and Accenture, into a cohesive framework
The book outlines Six Patterns of Advantage that separate long-term market leaders from fleeting tool providers:
Distribution: Owning direct routes to customers lets platforms deploy AI far faster than competitors can build alternatives
. Platforms: Converting products into sticky, interconnected ecosystems creates high switching costs
. Flywheels: Designing self-reinforcing loops ensures that early operational wins continually lower future costs
. Capital: Managing immense funding and infrastructure requirements allows companies to outlast long payback periods
. Pricing: Shifting monetisation away from static seat licenses toward outcomes and digital labor aligns price directly with delivered value
. Trust: Building auditable, reliable, and compliant AI agents ensures enterprise-grade deployment
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Rather than acting as a code tutorial or a set of speculative forecasts, the book delivers a practical playbook
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Whether you are deciding where to allocate tech spend, rethinking your product pricing, or navigating the shift toward agentic workflows, AI Strategy That Wins offers a clear roadmap for the decade ahead
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