Burnout and job insecurity are increasingly shaping how tech professionals move through the workforce, translating directly into higher churn and shifting career behavior.
As workloads intensify and advancement opportunities slow, many employees—particularly those in the middle of their careers—are reassessing their trajectory.
Retention challenges are becoming more concentrated in environments where heavy workloads, uncertainty and weak leadership converge, creating conditions that push employees to look elsewhere.
Wendy Lee Berger, global lead of client services and operations at Impact, says two groups are most likely to leave: early-career professionals, who can move before building significant tenure, and mid-career employees with portable skills who can pivot when growth stalls.
“The second group are mid-career employees, who have invested years at an organization, but have the talent and portable skillsets to easily pivot into a new organization,” she says.
These mid-career moves often come with higher pay and renewed growth opportunities, particularly when current roles lack a clear path forward.
This churn disrupts internal talent pipelines and weakens organizations’ ability to develop future leaders.
“Over time, this erosion threatens long-term sustainability and performance,” Berger says.
Jourdan Hathaway, chief business officer at General Assembly, says retention risk is clearest where skills investment is absent.
“Companies that fail to offer structured onboarding and training opportunities, or clear paths to advancement and recognition, produce disengaged employees who don’t feel capable or confident in their role,” she says.
She adds many companies that hired fast during the post-pandemic hiring boom without a clear strategy are the same companies creating ambiguous environments that push top performers out the door.
“People who feel their roles are insecure, and those suffering from extreme burnout, whether it’s due to layoffs or frozen budgets, are also likely to make moves,” she says.
Mid-Career Vulnerabilities, Reevaluations
Hathaway says mid-career professionals are usually some of the most valuable, as they have the experience and skills required to make strong judgement calls, and have worked long enough to gain significant institutional or industry knowledge.
“However, they often lack formal access to mentorship or skill-building opportunities and absorb outsized responsibility that’s invisible to leadership,” she says. “Reevaluating their career paths is a rational response.”
However, Jeff Spector, co-founder and president of Karat, points out mid-career engineers might be in the most exposed position and least discussed.
“They're not junior enough to be AI-native and may not be senior enough to have the judgment and systems depth that's now most valued — so AI is compressing their value from both directions simultaneously,” he says.
He explains new graduates can leapfrog people with seven years of experience on the same team something that's genuinely new, adding that mid-career engineers are caught in a pressure loop with no off switch.
“The pace of AI change means there's always something new to learn, always someone seemingly ahead of you, and no moment where you've finally caught up,” Spector says.
Berger says the result is a growing reevaluation of career direction: Mid‑career professionals are asking whether their current roles offer sustainable workloads, meaningful progression, and long‑term relevance.
“When organizations can’t clearly answer those questions, this group becomes more willing to look elsewhere for opportunity and stability,” she says.
Workload, Leadership Quality, Stability
Hathaway says workload and organizational stability issues tend to be poor leadership, amplified.
“When leaders fail to create clarity, work becomes intolerable,” she says. “We’re seeing this often with companies’ AI implementations.”
These organizations are mandating employees use AI, without linking such use to company strategy or career advancement, or providing the roadmap and skills training required to do it successfully.
“In some cases, we’ve seen employers monitoring employees’ AI usage and making decisions based on usage frequency, not outcomes,” Hathaway says. “This creates a culture of fear that drives attrition.”
Spector says when leaders project certainty they don't have, people fill the silence with worst-case assumptions, and the ones with options start looking.
“The instinct to protect people from uncertainty often accelerates attrition rather than preventing it,” he cautions.
Spector says what stabilizes teams is leaders who name the risk honestly — the disruption to the business model, the changing job spec — and pair that with a genuine vision of what the opportunity looks like on the other side.
“People don't need a guarantee,” he says. “They need a leader who can tell them what they’re up against, what makes them hard to beat, and the future they’re building toward.”
Reducing Burnout, Stabilizing Workforces
Berger says reducing burnout needs to go beyond wellness programs, which inadvertently shift the onus to change from the organization onto the individual.
“Effective burnout and job security interventions need to focus on the root causes of the problem and address structural clarity and leadership behavior,” she says.
She advises organizations to start by reducing chronic overload through clearer role definition and more disciplined prioritization, rather than relying on employees to absorb ever‑expanding scope.
Strengthening leadership capability is equally critical, particularly around clarity, consistency and decision‑making, as leadership quality strongly shapes how stress and uncertainty are experienced.
“Companies should also increase career visibility, especially for mid‑career professionals who are questioning how and where they can grow,” Berger says.
Addressing job security directly—through transparent communication about change, direction, and expectations—helps reduce anxiety and speculation.
“Organizations must measure belonging and burnout alongside engagement, since engagement alone is no longer a reliable indicator of retention risk,” Berger says.
Hathaway adds role-specific AI training can go a long way in creating a confident, future-proof workforce.
“When you invest in employee upskilling, it sends a clear message that employees are part of the AI transformation; it’s not just something that is happening to them,” she says.
From her perspective, retention should be by design–not reactive, noting AI strategies must be linked to business strategy and goals, not “usage.”
“While encouraging adoption is great, mandating usage without a clear ‘why’ leaves employees running for the exit,” Hathaway cautions.