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Chegg Axes 45% of Workforce (388 Jobs) as AI Disruption and Dwindling Google Traffic Bite

Chegg Axes 45% of Workforce (388 Jobs) as AI Disruption and Dwindling Google Traffic Bite

Published:
2025-10-28 07:50:47
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Chegg is cutting 388 jobs (45% of workforce) due to AI competition and reduced Google search traffic

Another education-tech domino falls. Chegg just handed pink slips to nearly half its workforce—388 employees—as generative AI tools gut demand for its homework-help services. Google's search algorithm tweaks didn't help either, starving the platform of its lifeblood: desperate students searching for last-minute essay fixes.

The numbers tell the story: 45% of staff gone in one swing. No corporate jargon about 'rightsizing' can sugarcoat that.

Wall Street's reaction? A collective shrug—after all, this is what 'disruption' looks like when you're on the wrong side of it. Maybe next time they'll pivot to selling AI-detection software to paranoid professors.

Leadership shakeup as company stays independent

Along with the job cuts, Chegg announced that Dan Rosensweig will take over as CEO right away, replacing Nathan Schultz. Schultz will leave the CEO position but stay on as an advisor to Rosensweig and the board.

The company also revealed plans to keep operating on its own, ending a review process that started earlier this year to explore other options.

“After thoughtful consideration of multiple proposals, the board unanimously determined that remaining an independent public company offers the best opportunity to maximize long-term shareholder value,” the company explained.

In April, Chegg faced possible removal from the New York Stock Exchange. The warning came when shares traded around 60 cents. Stocks staying under $1 for 30 straight trading days trigger these warnings. By May, the price climbed back above $1.

Companies worldwide, from technology firms to airlines, have been cutting workers as AI’s real effects become clear, making employees nervous. However, some observers believe companies are using AI as a convenient reason for downsizing.

Last month, consulting firm Accenture revealed a reorganization that pushes out workers who cannot quickly learn AI skills. Shortly after, Lufthansa announced plans to cut 4,000 positions by 2030 while using AI to improve operations.

Salesforce eliminated 4,000 customer service jobs in September, saying AI handles 50% of company tasks. Payment company Klarna reduced its staff by 40% while adopting AI systems. Language app Duolingo said it WOULD slowly stop using contract workers and rely on AI instead.

Experts question if AI is real reason behind layoffs

The news sounds bad, but Fabian Stephany, who teaches about AI and work at the Oxford Internet Institute, thinks there might be more behind these cuts than companies admit.

Companies previously hesitated to discuss AI use, but now they are “scapegoating” the technology to justify difficult business moves like layoffs, he explained.

“I’m really skeptical whether the layoffs that we see currently are really due to true efficiency gains. It’s rather really a projection into AI in the sense of ‘We can use AI to make good excuses,'” Stephany told CNBC.

Companies can present themselves as technology leaders while hiding actual reasons for cutting jobs, according to Stephany.

Pandemic overhiring may be true culprit

Some businesses that grew during the pandemic like Duolingo or Klarna hired too many people during pandemic, and recent layoffs might simply be corrections.

“It’s to some extent firing people that for whom there had not been a sustainable long term perspective and instead of saying ‘we miscalculated this two, three years ago, they can now come to the scapegoating, and that is saying ‘it’s because of AI though,'” he added.

“At the same time there are announcements of big layoff plans ‘because of AI.’ It looks like a big excuse” said Bouglé, who helped start Authentic.ly.

Despite the widespread concerns, recent research from Yale University suggests that AI’s impact on employment may be overstated, with job losses not materializing at the scale many executives predicted.

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