Putting AI to work: The latest from MIT Sloan Management Review
Putting AI to work: The latest from MIT Sloan Management Review
https://mitsloan.mit.edu/ideas-made-to-matter/putting-ai-to-work-latest-mit-sloan-management-review
Publish Date: 2026-04-07 08:13:00
Source Domain: mitsloan.mit.edu
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Classification of AI Startups: MIT experts categorize AI startups into six types—Originators, Explorers, Infrastructure Builders, Enhancers, Optimizers, and Experimenters—to help corporations understand the different roles and capabilities of these companies.
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Understanding How and When to Use AI: Companies need to determine where, when, and how to use AI effectively, as understanding who’s developing AI tools is crucial for making informed partnerships.
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AI is Not Automatically Productivity-Improving: MIT professor Daron Acemoglu argues that AI’s current use as automation technology is not contributing to macroeconomic productivity improvements due to its alignment with capital owners rather than workers.
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Agentic AI Coding Tools for Knowledge Work: These tools, such as Claude Code, are more versatile for applications beyond software development, like competitive intelligence and marketing, due to their multistep reasoning, adaptive execution, and tool use capabilities.
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Security and Caution with AI Tools: While using agentic AI tools enhances knowledge work, caution is needed to minimize security risks and review proposed actions for accuracy.
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Future Tech and Economic Choices: Acemoglu emphasizes the importance of choosing pro-worker technologies that provide equitable benefits from innovation, pointing to historical examples where collective gains led to wage growth.
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Role of Vigilance in M&A: Acemoglu suggests that more vigilant mergers and acquisitions could lead to better outcomes and different dynamics in the alignment of innovative technologies.
