Future of Work

MIT Sloan’s Paul Osterman argues that the rise in gig workers, freelancers, contractors, adjuncts, and other contingent workers carries long-term implications for the future of work.

AI performance is improving across many workplace tasks broadly, not in sudden shocks, new MIT research finds. That cadence gives companies and workers time to prepare for task-level displacements.

AIDEs have lower overhead, are extremely efficient at product development, require a smaller footprint, and provide increased ownership for founders, according to MIT Sloan’s Paul Cheek.

As AI systems become more capable, companies will need to think beyond individual tools and begin managing AI as a digital colleague — part of how teams, workflows, and business processes operate.

Freelancers, contractors, part-timers, gig workers, adjuncts, and other contingent workers deserve more respect, MIT Sloan professor emeritus Paul Osterman writes in his book “Disposable Workers.”

Artificial intelligence can make workers more capable and productive, but only if leaders design and deploy it to augment human judgment.

Researchers at the MIT Initiative on the Digital Economy share the latest insights about getting the most from working with AI, such as personality pairing and reorganizing job tasks.

AI systems hold the promise of competitive advantage, but they can usher in cognitive decline among workers, says MIT Sloan School of Management’s Eric So. Learn how to protect cognitive capital.

Following Pope Leo XIV’s encyclical on AI, MIT Sloan professor emeritus Thomas A. Kochan argues that firms should partner with workers to ensure AI augments human skills and knowledge.

New research shows that AI delivers the most value when organizations redesign workflows, not just when they automate individual tasks.