McKinsey: AI in Strategy, Beyond the Hype

The Strategic Opportunity

According to McKinsey, only 7% of companies use AI in strategy or financial planning, compared to 25–30% in marketing and operations.

"When executives think about strategy automation, many are looking too far ahead, at AI deciding the right strategy. They are missing opportunities to use AI in the building blocks of strategy."

— Yuval Atsmon, McKinsey

Six Levels of AI in Strategy

• Descriptive Intelligence — Dashboards for competitive analysis and performance tracking.
• Diagnostic Intelligence — Understanding root causes and drivers.
• Predictive Intelligence — Anticipating scenarios and forecasting future value.
• Prescriptive Intelligence (emerging) — AI advising actions for executives' consideration.
• Delegated Intelligence (future) — Certain decision authority delegated to AI with constraints.
• Autonomous Intelligence (future) — Fully autonomous analysis and decision-making.

AI for Cognitive Bias

"Humans get strategic decisions wrong, a lot. Some of those errors are systemic, observable, and predictable."

• Sunflower Bias — AI can flag when everyone agrees too quickly with the CEO.
• Confirmation Bias — AI provides neutral analysis that doesn't aim to satisfy the boss.
• Agency Problems — AI offers a neutral way to manage debates about resource allocation.

The Hockey Stick Phenomenon

Executives are always overly optimistic. AI can provide a neutral momentum case based on past performance, before adding executive optimism.

Key Insight

"Competitive advantage will increasingly rest in having executives who know how to apply AI well."