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Commercial quantum computing is now years, rather than decades, away. It’s time for business leaders to start tracking its evolution.

The year’s most popular terms find us reassessing merit, rejiggering professional and geopolitical networks, and reevaluating how and when we bring AI into the office.

Leaders who actively design for the widespread use of data assets generate three times the revenue from data monetization compared with their peers.

They’re nearly all about artificial intelligence, with a guest appearance from quantum computing.

Quantum computing is being mentioned more often in company earnings calls and public documents as industry and government leaders’ interest in the technology grows.

Climate ventures are capital-intensive, take years to scale, and face unique hurdles. Standard advice doesn't always apply. MIT experts explain why these businesses need their own framework.

New books this year cover ecosystems, entrepreneurship, dynamic work design, and the paradox of meritocracy.

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.

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.

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.