Executives whose primary AI motivation is reducing headcount are half as likely to invest in AI upskilling, according to Businessolver's 11th annual State of Workplace Empathy study. The survey of 300 C-suite executives and 1,000 employees points to a strategic contradiction at the top of many organizations — and a diagnostic problem HR leaders will have to solve before 2026 planning.

The gap is sharpest among leaders focused on cost cuts. These executives deprioritize workforce training at twice the rate of peers whose AI agendas point elsewhere, the research found. For HR, that split directly touches budget decisions on learning and development, workforce planning and retention strategy.

"AI does not create value on its own. People create value when they're enabled with the right set of skills and confidence," said Sony SungChu, chief AI officer at Businessolver. "If leaders reduce capacity without building capability, they could risk undermining the very productivity gains they're chasing."

What does the C-suite AI divide mean for HR strategy?

Risk perception varies sharply by function. Among CIOs and CTOs, 88% worry that technology will outpace internal systems or workforce skills. Among CFOs, only 63% share that concern — a 25-point gap between the two roles.

Investment priorities diverge along the same line. Executives not focused on headcount reduction invest in predictive analytics at more than double the rate of their cost-focused peers. The gap reaches 15 points on time savings and productivity, and 14 points on reducing employees' administrative burden.

The divide extends to culture. Nearly one in three executives (30%) driving headcount-focused AI agendas say being an empathetic organization gets in the way of their personal business goals. Among executives who do not cite headcount reduction as an AI priority, that figure falls to 19%.

How much does skipped upskilling cost employers?

The study quantifies a direct performance risk. Adequately trained employees are up to 1.5 times more likely to report stronger career progression, confidence and optimism, the data shows.

Employees also see the gap their leaders miss. Nine in 10 senior executives believe their staff are excited about AI. The employee numbers tell a different story:

• 39% say AI has them worried about their future
• 31% worry they are falling behind
• 49% report no support in learning AI

"AI will change jobs and economic pressure will force hard decisions," said Jon Shanahan, president and CEO of Businessolver. "These are challenges but also opportunities for companies to demonstrate empathy in the face of a generational workplace shift, while creating stronger, more resilient companies — not just more efficient ones."

Why high-growth companies face the sharpest tension

Organizations reporting significant financial growth over the past 12 months face the most acute version of this trade-off. These employers are twice as likely to cite AI-driven headcount reduction as a primary investment motivator.

The same high-growth group reports twice the incidence of layoffs, alongside higher recruiting activity. Benefits investment lags by 13 points. The workplaces under the greatest commercial pressure, in other words, are often where employee support is least available.

For HR professionals building people-centered AI strategies, the pattern is familiar: AI adoption without workforce planning creates a capability gap that compounds over time. Without a capable workforce, technology investment is unlikely to return its projected value.

The Businessolver data frames HR's task heading into 2026 — making the case for AI upskilling as a commercial imperative rather than a welfare measure, which the research identifies as the most direct lever available to HR leaders.

As SungChu's warning suggests, organizations that cut capacity without building capability may find the productivity gains they are chasing remain out of reach.