WTF   //   September 25, 2025

WTF Is Job Hugging?

Companies are pumping billions into AI tools, but employees are secretly avoiding them. Meet “job hugging,” the workplace trend that’s quietly draining the bottom line of many businesses.

A survey by Beautiful.ai, a presentation software, found that 64% of managers believe their employees fear AI tools will make them less valuable at work. Meanwhile, 53% of employees admit they hide their AI use from employers because they’re afraid it makes them look replaceable.

The result is a workplace paradox: Companies invest in AI to boost productivity even as employees actively resist using it in order to protect their jobs. That means employers are essentially paying for efficiency gains they’ll never actually get.

What is it?

Job hugging isn’t about being lazy or stubborn. Rather, it’s when employees cling to outdated processes because they think it protects their standing. Research from resume writing platform Resume Builder shows that nearly half of workers are choosing stability over mobility, with 77% concerned AI will make it harder to get a job.

“The combination of a soft job market, economic uncertainty and the impact of tariffs has slowed hiring, leaving many workers reluctant to make a move,” says Resume Builder’s chief career advisor Stacie Haller. “Added to this is the growing fear that AI could replace jobs.”

“The combination of a soft job market, economic uncertainty and the impact of tariffs has slowed hiring, leaving many workers reluctant to make a move. Added to this is the growing fear that AI could replace jobs.”
Stacie Haller,
chief career advisor, Resume Builder

Ryan Zhang, CEO of Notta, a transcription platform, explains: “[Employees are] protecting what they perceive as their professional identity. When AI can do parts of their job faster, it feels like an attack on their expertise rather than an enhancement of it.”

What are the costs?

Productivity gains vanish. Workers using AI save an estimated 5.4% of work hours, or the equivalent of 2.2 hours per week. Job huggers forfeit those gains entirely, meaning employers’ AI investment generates zero ROI.

Competitors pull ahead. Programmers using AI complete 126% more projects per week than those who don’t. While a team may be manually grinding through tasks, AI-embracing competitors could be shipping faster and iterating quicker.

Top talent bolts. Nearly 3 in 5 executives are actively seeking jobs at companies more innovative with AI. The message is clear: The best people want to work with cutting-edge tools that enhance their capabilities.

Nearly three-quarters of companies struggle to achieve and scale value from AI adoption, with most challenges stemming from human resistance, not technology failures, a Boston Consulting Group study found. Among 4,500 workers, 33% want AI banned from the workplace for good.

“[Employees are] protecting what they perceive as their professional identity. When AI can do parts of their job faster, it feels like an attack on their expertise rather than an enhancement of it.”
Ryan Zhang,
CEO, Notta

Employees at organizations undergoing comprehensive AI transformation are more worried about job security (46%) than those at less-advanced companies (34%), meaning the more companies invest in AI, the more anxious the workforce becomes.

How to fix it?

There are several things management can do to confront job hugging, including:

Lead visibly. Share how you personally use AI in weekly emails. When employees see clear leadership communication about AI plans, they are 3 times more likely to feel prepared.

Start with pain points. Ask teams what wastes their time, then introduce AI as the solution.

Celebrate wins publicly. Make AI success stories as normal as any other achievement.

As for the role of employees:

Start small. Use AI for low-stakes tasks like summarizing notes or proofreading emails.

Find an AI buddy. Partner with someone already using these tools.

Track your wins. Document time saved and better results achieved.

The bottom line

AI leaders achieve 1.5 times more revenue growth and 1.6 times greater shareholder returns than their peers. The difference isn’t just better technology, it’s better change management.

Around 70% of AI implementation challenges stem from people and process issues, with just 10% involving actual algorithms, suggesting that employers cannot solve job hugging with more sophisticated AI but, rather, by addressing the human element of the equation.