Digital Economy
Ideas and insights about the digital economy from MIT Sloan.
Agentic AI, explained
The age of agentic AI — systems that are semi- or fully autonomous and can act on their own — has arrived. Here’s what you need to know, according to MIT experts.
4 takeaways for finance teams as they implement AI
Creativity and clean data are at the core of successful artificial intelligence implementations, according to the CFOs of Shopify and Arm Holdings.
Why Agile is a poor fit for the platform marketplace
Agile was supposed to revolutionize how companies operate, but it’s fundamentally mismatched with the complex world of platform markets, says digital economy specialist Georg Rilinger.
Why aren’t AI open models more widely used?
Open-source and open-weight AI models perform well and cost less — but users opt for closed models 80% of the time, according to new research.
New MIT report captures state of quantum computing
The “Quantum Index Report” is a comprehensive assessment of the technology and the global landscape, from patents to the quantum workforce.
4 new studies about agentic AI from MIT
New research ranges from how AI agents negotiate to how “personality pairing” can optimize human-AI collaboration.
What’s next for AI: Hybrid intelligence systems
A new book looks at how the integration of artificial and human intelligence will impact individuals, organizations, and society.
Smart meters generate revenue, improve efficiency for public utilities
Nearly 120 million smart meters had been installed by U.S. electric utilities as of 2022, but their impact had not been quantified until now.
How to create business value through digital sustainability
Without a clear strategy, corporate sustainability efforts often represent sunk costs. New research explains how to align digital sustainability with corporate goals.
4 ways that AI and tech are reshaping finance
Generative AI and financial data are opening up the digital economy to more consumers and small businesses, but crypto concerns remain.