Study predicts huge productivity gains when AI assists programmers — By Irving Wladawsky-Berger As generative AI and machine learning technologies seep into business use, executives rightfully want to know what the economic and productivity gains will be. In June, McKinsey published The Economic Potential of Generative AI: The Next Productivity Frontier addressing these issues — and found that the impact…

Beyond their use as commerce marketplaces, can platforms accelerate sustainability and reuse? — By Brian Eastwood, MIT Sloan If there’s one constant in the platform economy, it’s change. Platforms started out fueling the matchmaking economy (eBay) and have evolved to further encompass the sharing economy (Airbnb) and the gig economy (Upwork). The next phase: platforms supporting the circular economy, which reuses raw materials…

While other firms ban or stall, the financial services giant is meeting GPT challenges head on — experimenting with governance and incremental tests — By Thomas H. Davenport and Randy Bean, courtesy of MIT Sloan Review If you saw the action-adventure movie Everything Everywhere All at Once, you might have had the same reaction we did. Impressive and exciting? No doubt — that’s one reason why it won seven Academy Awards. A portent of…

Business-to-business platforms are still an emerging market. Research identifies four types of these platforms and three ways they can succeed. — By Beth Stackpole, MIT Sloan Business-to-consumer platforms such as Uber, Airbnb, and Amazon have become business success stories and the staples of everyday life. Yet platform models have been less successful in the business-to-business space, with most B2B platforms still in the launch stage (24%) or scale stage (60%).

Generative AI is worthwhile when humans ask the right questions and evaluate the answers, MIT Sloan’s John Horton says. — By Betsy Vereckey/ MIT Sloan There’s a lot you can ask generative artificial intelligence to do: compile an agenda for a meeting, write an email, transcribe notes, generate computer code. The harder question to answer is, should you? “It’s not a trivial task, learning how to work well with a…

Despite its potential, transformative AI is hard to achieve — By Irving Wladawsky-Berger “Humans have a good track record of innovation,” wrote Arjun Ramani and Zhengdong Wang in an essay that explains Why transformative artificial intelligence is really, really hard to achieve. Ramani, a global business and economics correspondent at The Economist, and Wang, a research engineer at Google DeepMind…

A billion-dollar sub-market is taking brand marketing to new heights — By Peter Krass The platform economy has spawned several offspring — and they are taking on lives of their own. Chief among them is the billion-dollar creator economy, businesses built by independent, mostly self-employed creators, including social-media stars, podcast producers, bloggers, video hosts and other ‘influencers’, many of whom have…

Determining when next-gen computing makes financial sense won’t be easy. A new framework finds that enormously complex business problems will benefit, but many workloads will still run best –and more economically — on classical computers. — By Peter Krass Like many technologies, quantum computing is both a brilliant breakthrough and also a misunderstood advancement. Decades in development, quantum computing still only hints at its full capabilities — especially for business applications.

Take Note: In a pilot program involving 91 organizations, revenue rose, hiring increased, and workers reported higher satisfaction in work and in life. — By Kara Baskin, Courtesy of MIT Sloan Could a four-day workweek work make your organization happier and more productive? Entrepreneur Andrew Barnes, co-architect of the New Zealand nonprofit 4 Day Week Global, explored the topic at the recent Work/23 symposium, hosted by MIT Sloan Management Review.