The New Workplace Anxiety
Job seekers fear becoming invisible more than they fear AI.
While much of the workforce is worried about automation replacing jobs, the latest research suggests the more immediate fear is subtler and in some ways harder to solve.
The upshot: People currently searching for jobs are more concerned about being seen and about whether there will be a place for them in a workplace that’s evolving faster than they can seem to adapt. And the result for employers who don’t adapt to those expectations are grave.
More than a third of job seekers worry they won’t get hired despite doing everything right, according to a recent study by the employee experience platform Unily. Thirty-one percent say AI and automation are making it harder to stand out, and 36% admit they’re not confident using AI tools. Meanwhile, over a quarter say it’s very likely they’ll leave a job within the first year if expectations aren’t met.
Andrei Kurtuy, co-founder of Novoresume, a resume platform used by more than 18 million job seekers, says the anxiety in the data matches what he sees daily. “People aren’t mainly scared a robot takes their job tomorrow,” he says. “They’re scared of doing everything right and still getting passed over, and that fear shows up in how cautious and over-polished their applications have become.”
The trend suggests a growing and costly gap between what organizations promise during recruiting and what employees actually experience once they arrive. When the honeymoon ends quickly, so does retention. Leaving a job after two months is a lot more common than you may think, even in this tight job market, especially when a company presents itself as an ambitious, tech-forward organization when, in fact, it’s fumbling to make up rules around AI as it goes along.
Kurtuy argues that many employers are making the problem worse. “They respond to a nervous talent market by adding more hoops—more assessment rounds, more ‘Tell us why you’re passionate,’ more AI screening that nobody explains. Every one of those signals to a vulnerable candidate that they’re being filtered, not seen.” The employers winning right now, he proposes, are doing the opposite: being transparent about what roles actually entail, communicating clearly where AI fits into the work and closing the loop with candidates quickly. “A clear no within a week beats silence for a month,” he says.
It’s interesting that while compensation and flexibility remain top priorities, according to Unily’s study, workers increasingly evaluate employers on factors like culture, communication and emotional sustainability. Twenty-one percent expressed concern about burning out right away, while nearly one in five worried about not fitting in with coworkers. In a hiring environment where every open role is expensive to fill, those amount to serious business risks.
For years, employees built their professional confidence around accumulated skills and institutional knowledge. AI is disrupting both, and many workers haven’t yet found their footing.
The 36% of job seekers who say they aren’t confident using AI tools presents its own challenge—and its own opportunity, depending on how employers respond.
Philip Huthwaite, CEO of 5app, an AI-powered learning technology company, frames it like this: “Even if AI isn’t necessary right now in the specific role [job seekers are] applying for, every single industry is experimenting with using AI to boost efficiency or to handle tasks such as data analysis or identifying patterns, so job seekers who aren’t familiar with AI tools are likely to be overlooked in favor of those who are comfortable getting results with AI.”
At the same time, he is careful not to let employers off the hook entirely. “I do believe that employers have a duty to ensure that employees are sufficiently skilled in AI literacy,” he says. Kurtuy makes a similar point from the recruiting side: “Treating AI fluency as a gate you clear to get in, instead of something you build on the job, means rejecting the people your competitors are about to hire.”
What the data collectively describes is a workforce in the middle of an identity crisis. For years, employees built their professional confidence around accumulated skills and institutional knowledge. AI is disrupting both, and many workers haven’t yet found their footing. They want transparency about how automation will affect their careers. They want training and support. They want to feel visible, not just productive.
Huthwaite points to a broader opportunity here for employers who are willing to invest: “Beyond AI, employers should place more focus on employee development as a whole to keep employees feeling motivated and constantly improving their skills. That includes technical skills, such as AI, coding or upskilling on new software, as well as soft skills, such as communication or strategic thinking, which are transferable across roles and industries, to keep the workforce sharp.”
The temptation for organizations is, in many cases, to respond with still more tech like more advanced onboarding platforms and employee surveys. But while those things have their place, the study stresses that their power has limits.
After all, employees aren’t asking for better software as much as they want clarity, communication and trust. You know, the stuff of human leadership.