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Bracing for change with AI in the workplace

AI in the workplace will affect tasks in virtually all industries in the coming decades, but the effects will vary. Here’s how companies and workers can brace for change.

Approximately 25% of U.S. employment (that equals 36 million jobs in 2016) will face high exposure to automation in the coming decades (with greater than 70% of current task content at risk of substitution), according to a Brookings Institution study.

From chatbots that can schedule meetings or book travel to robots in warehouses that can shepherd goods around the warehouse, AI in the workplace is coming—and, in some cases, is already here. That’s not to say that AI in the workplace is mature. Machines still need to be trained, and fed lots of data, to develop even basic task capability.

In this podcast, we explore some of the future prospects for AI in the workplace and how jobs, tasks and skills will be affected—and what companies can do to prepare themselves and their workers for the next era—what we dubbed man plus machine, or human workers complemented with AI.

Check out the podcast above.

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Lauren Horwitz is the managing editor of Cisco.com, where she covers the IT infrastructure market and develops content strategy. Previously, Horwitz was a senior executive editor in the Business Applications and Architecture group at TechTarget;, a senior editor at Cutter Consortium, an IT research firm; and an editor at the American Prospect, a political journal. She has received awards from American Society of Business Publication Editors (ASBPE), a min Best of the Web award and the Kimmerling Prize for best graduate paper for her editing work on the journal article "The Fluid Jurisprudence of Israel's Emergency Powers.”

Scott Robinson

Scott Robinson is an enterprise architect and AI consultant with a 25-year history in business intelligence, analytics, and content management in the healthcare and logistics industries. He is currently CIO of the GlenMill Group, a research consortium providing new AI technology and infrastructure for enterprise applications and services.