Felipe Csaszar on AI in strategy, AI evaluations of startups, improving foresight, and distributed representations of strategy (AC Ep32)

2026-02-18 · Source: Humans + AI · Field: Business & Management — Corporate Strategy & Leadership, Entrepreneurship & Start-ups · Depth: Advanced, extended

Summary

Felipe Csaszar, Alexander M. Nick Professor at the University of Michigan’s Ross School of Business, details how AI, particularly large language models (LLMs), is transforming strategic decision-making. He identifies three core cognitive operations in strategy—search, representation, and aggregation—and explains how AI enhances each. LLMs can search faster and more broadly than humans, automatically shift problem representations, and facilitate aggregation through virtual personas. Experimental findings show AI-generated business plans ranked 7% higher than human-generated ones, and AI evaluations of startups correlated 52% with venture capitalists, exceeding the correlation between two VCs. Csaszar anticipates future strategy frameworks will increase in complexity due to AI's unconstrained working memory, moving beyond the "Magical Number 7" human cognitive limit.

Key takeaway

For Directors of AI/ML tasked with integrating advanced capabilities into strategic planning, recognize that AI can significantly augment your team's capacity for strategic search, representation, and aggregation. Prioritize experiments to identify optimal human-AI collaboration models within your industry, focusing on how AI can enhance foresight and enable more complex, data-driven strategic frameworks. Your efforts should aim to leverage AI's unconstrained processing to develop sophisticated strategies and improve prediction quality.

Key insights

AI fundamentally alters strategic search, representation, and aggregation, enhancing decision-making capabilities beyond human cognitive limits.

Principles

• AI expands strategic search speed and scope.
• AI enables automatic shifts in problem representation.
• AI can aggregate diverse perspectives via virtual personas.

Method

AI can generate business plan alternatives and evaluate startup potential against rubrics, demonstrating comparable or superior performance to human experts in specific contexts.

In practice

• Use LLMs for rapid, broad strategic information search.
• Employ AI to explore alternative problem representations via prompt changes.
• Utilize AI for initial evaluation of strategic alternatives.

Topics

• AI in Strategy
• Large Language Models
• Strategic Decision Making
• Human-AI Collaboration
• Explainable AI

Best for: Investor, Entrepreneur, Executive, Director of AI/ML, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Humans + AI.