HBR IdeaCast · Harvard Business Review

The Hidden Causes of AI Workslop—and How to Fix Them

March 10, 2026·29 min·2 clips

53% of people admit to sending AI-generated workslop, revealing how pervasive this deceptive practice has become.

The cold open makes the point by doing the thing. The host says she and producer Mary gave a task to ChatGPT because they wanted to demonstrate the episode's argument about rising AI work slop. From there, the diagnosis starts with visibility. The guests say leaders should measure whether employees experience AI strategy as a mandate, then track how often the problem appears across organizations, situations, and geographies. Culture matters as much as usage. Engagement, optimism, agency, and people's mindset toward AI all give leaders clues before they try to correct behavior. The first fix is specificity. The guests push leaders away from broad AI mandates and toward a sharper question: how should AI work inside this particular firm? Teams are the right place to answer it. A research team, for example, can redesign its work together now that the tool exists. That keeps employees involved instead of treating them as people who simply need AI literacy. Davos comes in as a reference point. One guest says this team-level redesign theme came up at the World Economic Forum in Davos this year. Trust is the second move. Employees are reasonably asking what broad AI adoption means inside the company. The management lesson is pretty restrained: fewer blanket instructions, more honest conversations about workflow, measurement, culture, and trust. The episode lands back in HBR's lane, giving managers a practical way to cut down low value AI output without treating employees like passive adopters.

As heard by us

A sharp management take on AI workslop, with practical emphasis on team redesign, trust, and employee agency.

HBR IdeaCast treats AI workslop as a leadership problem: passable AI output that shifts cleanup costs onto other people. The episode points to broad mandates, thin strategy, weak trust, and employee anxiety about whether efficiency gains are really a prelude to layoffs.

Read the full review in PlayNext →

Why you'd press play

When AI work looks helpful but leaves cleanup, this episode is for you.

Read the full recommendation in PlayNext →

Listen to the show on

Apple Podcasts Spotify

Play clips from this episode More from HBR IdeaCast