Artificial Intelligence
Ideas and insight about artificial intelligence from MIT Sloan.
Use these 3 MIT guides when implementing AI in your organization
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Three AI implementation guides from MIT provide research-based insights on AI maturity, which AI tool to use, and the human capabilities that will be even more essential in the future.
Large language models can help professionals identify customer needs
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A study found that trained LLMs can identify what customers want as well as expert market reach analysts, who are freed up to apply their expertise to high-leverage tasks.
AI’s missing ingredient: Shared wisdom
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We are in the fourth wave of artificial intelligence. In his new book, Alex Pentland says understanding AI from the 1960s, 1980s, and 2000s can help us develop technology that supports shared wisdom.
Who benefits from AI? New comic explores technology’s impact on labor
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Download “Power and Progress: The Mini-Comic!” for free. A new comic book adapts MIT Nobel Prize-winning economists’ work on how AI affects workers and shared prosperity.
New MIT Sloan courses focus on deep learning, gen AI, and fintech
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Additions to the MIT Sloan 2025 – 2026 course list include Intensive Hands-On Deep Learning, AI and Money, and The Arrhythmia of Finance.
What the bond market has to say about generative AI
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How do generative AI model releases impact consumption expectations? New MIT Sloan research shows large, unexpected reactions in the bond market.
Flexible data centers can reduce costs — if not emissions
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Data centers that shift workload to different times of day save money, but the environmental impact depends on the local grid.
How artificial intelligence impacts the US labor market
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New research from MIT Sloan shows that companies can see substantial gains by putting AI to work — with that growth translating into jobs.
How to boost your organization’s AI maturity level
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New research highlights four areas leaders must address as they embed AI across their business.
AI implementation strategies from MIT Sloan Management Review
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Value creation is the true measure of successful AI implementation. It starts at proof of concept and considers AI’s impact on an industry, not just a company.