Productivity

Slack CEO Denise Dresser lists five types of AI users you need to know in your organization and offers guidance on how to engage them.

When software developers were given access to an AI coding tool, productivity increased — particularly among newer hires and more junior employees.

From MIT Sloan experts, innovative ideas for using artificial intelligence to solve critical business problems and deliver on strategy.

One core operational improvement — moving from a “push” to a “pull” method of scheduling — can have large implications for organizations’ agility.

Top tech leaders are spending less time collaborating with peers and more time meeting customers and developing innovations.

Generative AI can boost highly skilled worker productivity, if organizations establish a culture of accountability and encourage role reconfiguration.

New research explores worker engagement, its impact on job performance, and its connection to a worker’s level of emotional stability.

Generative artificial intelligence is a game changer, but it’s not for every task. Here are four ideas to consider from an MIT labor economist.

Workforce ecosystems tap into the power of people, partners, and technologies, but they can be tricky to manage. This orchestration framework can help.

Author Andrew Barnes explains the benefits of a workweek with 100% of normal pay, 80% of typical work hours, and 100% productivity.