Future of Work

As AI tools become more widely available, competitive advantage will depend on the trust, data, expertise, operating capabilities, and work redesign companies build around them.

In his new book, MIT Sloan School of Management professor Eric So examines the ways AI is reshaping human cognition and offers advice on protecting your uniquely human skills while using AI.

An MIT report details how Kaiser Permanente and the Alliance of Health Care Unions reached a landmark labor agreement to incorporate worker input into AI decision-making.

New faculty members are thinking about how AI can help decision-making, the value of adversarial AI agents, and the skills workers need in the AI era.

A report from the MIT Working Group on Generative AI & the Work of the Future identifies three principles and seven outcomes that ensure that jobs are better, not just faster, with AI.

In his new book, MIT Sloan School of Management’s Paul Cheek argues that companies lose competitive ground when they keep humans in the loop on decisions that AI can make more efficiently.

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.