3 in 10 CEOs Say AI Investment Is Driven by Job Cuts—Even as Most Say AI Demands More Empathy
Executives are sending their workforces conflicting messages about AI. Nearly 3 in 10 CEOs (28%) say cost savings through headcount reduction is the primary motivation behind their AI investment. At the same time, 60% of C-suite executives say AI adoption creates a "much greater need to demonstrate empathy," according to new research from Businessolver.
Employees appear to be hearing the first message loudest. Thirty-nine percent say AI makes them concerned about their future at their organization, and 31% worry they are falling behind on how to use AI in their role. Among employees concerned about AI's impact on their future, 64% report a mental health issue in the past year, compared with 50% of employees who feel optimistic about AI.
"No matter your role, there's no way to know it all with AI—it's just changing too quickly. That's why employees need active training, guidance, and forums to exchange role-specific best practices."
— Jon Shanahan, President & CEO, BusinessolverTraining Separates AI as an Accelerator From AI as a Threat
The findings, drawn from Businessolver's 2026 State of Workplace Empathy AI Special Report, point to a single lever separating employees who feel AI is advancing their careers from those who feel threatened by it: whether their employer trained them to use it. Employees who received adequate employer-sponsored AI training report up to 1.5 times stronger career progression, confidence, and optimism than those left to figure it out alone—and nearly half of employees (49%) fall into that second group.
The gaps are stark across every measure. Among well-trained employees, 78% say AI has accelerated their career progression versus 51% of those with limited training, 80% are confident they can keep up with AI trends versus 57%, and 73% say AI lets them focus on higher-value work versus 50%. Yet only 31% of C-suite executives name upskilling through personalized learning as a primary goal of their AI investment—roughly the same share that names headcount reduction.
"AI is most powerful when it amplifies human potential, but people need guidance and guardrails to obtain the best outcomes for the business and their stakeholders."
— Sony SungChu, Chief AI Officer, BusinessolverCulture, Toxicity, and the Gen X Fault Line
AI readiness closely tracks organizational culture. Among employees who describe their workplace as empathetic, 87% report receiving adequate AI training—a figure that plummets to just 33% in cultures described as toxic. And toxicity itself is rising: 33% of CEOs now describe their own culture as toxic, up 25 points year over year, while 61% of CEOs say it is difficult to demonstrate empathy in their day-to-day work, a 32-point jump.
One generation stands out. Gen X reports the highest AI concern and the lowest career momentum of any cohort, with 53% saying they were left to figure out AI on their own and 41% saying it has slowed or disrupted their career progression—compared with 29% of Millennials. Because Gen X occupies many experienced contributor and management roles, those gaps carry downstream risk for employers counting on the middle of the organization to carry an AI rollout. Training access also splits by gender and job type, with women (45%) and hands-on workers (44%) less likely than their counterparts to report adequate AI training.
Mixed signals from the top. 28% of CEOs cite headcount reduction as the primary driver of AI investment, even as 60% of the C-suite say AI demands greater empathy.
Anxiety and wellbeing. 39% of employees fear for their future because of AI, and among those, 64% reported a mental health issue in the past year.
Training is the lever. Employees with adequate AI training are up to 1.5x more likely to report career growth, confidence, and optimism—yet 49% received little or none.
Culture drives readiness. 87% of employees in empathetic cultures got adequate AI training, versus just 33% in toxic cultures—as reported toxicity rises sharply for CEOs and staff alike.
Gen X at risk. Gen X shows the highest AI concern and lowest career momentum, with training gaps also splitting along gender and job-type lines.
