Chen Wenjing | Digital Vision Vector | Getty Images
It is well documented that there is widespread fear among workers that they will be replaced by AI now or in the future. Recent headlines about Block and Oracle and layoffs only add to the anxiety of workers being asked to learn this new technology. Concerns about machines displacing humans from work may be a bit overblown, but the fears are real.
Therefore, one of the biggest challenges facing technology leaders today is creating effective strategies to address concerns and get employees to use AI tools, regardless of their concerns about them.
Jamie Shapiro, founder and CEO of leadership coaching firm Connected EC, said, “Despite the acceleration of AI adoption, concerns around AI persist and are growing in many organizations.” “What fuels fear about AI is not what the technology can do, but how leaders frame its purpose and impact.”
When AI is consistently discussed in terms of cost savings, efficiency, doing more with less, reducing headcount, etc., employees start hearing threats instead of opportunities, Shapiro says. “That framework forces people into survival mode, undermines trust, and shuts off curiosity, experimentation, and learning,” she says.
One of the most common concerns Shapiro hears is job loss and attrition. “It’s not just ‘Will my job change?'” but “Do I still have a place here?” ‘ she said. Others include loss of relevance and expertise. Fall behind peers that adopt AI faster. Evaluation of the use of AI without training or clarity. and a decline in trust in organizations that value efficiency over people.
Amy Loomis, group vice president of workplace solutions at IDC, said research firm International Data Corp.’s Future of Work and Employee Experience report shows that employee concerns about AI persist, but are not uniformly worsening. The report says concerns about complete job losses remain a minority view, with the bigger worry being how jobs will change in an already uncertain macroeconomic environment.
“Employee concerns are much more complex than simply ‘I’m going to lose my job to AI,'” Loomis said. “Most people expect AI to reshape jobs rather than replace them completely, and concerns about job losses are often tied to broader economic pressures and employment slowdowns, rather than AI alone.”
A sound AI strategy
Chief information officers, chief technology officers, and other technology executives must take steps to address these concerns because they instill fear in employees.
One way is to directly address the impact of AI on roles and jobs. “Explain by role how you expect AI to reshape specific tasks over the next 12 to 24 months, distinguishing between automation, expansion, and the creation of new work,” Loomis said. “We are making specific commitments to reskilling and internal mobility so that our employees understand not only the risks but also the path forward.”
For example, Loomis said technology leaders could publish role-based AI impact summaries that outline which tasks are likely to be automated, which tasks will be enhanced, and what training and career paths are available for each role.
Leaders can also demonstrate the tangible value of AI in their daily work. “By prioritizing early AI use cases that clearly reduce low-value or repetitive tasks, employees can see benefits quickly,” Loomis said. “We share simple before-and-after metrics and stories that show time savings and quality improvements, positioning AI as a tool to make your life easier, rather than a hidden performance test.”
Providing continuous upskilling and learning is also important, Loomis said. “It’s a shift from ad hoc, self-directed learning to structured AI upskilling built into the flow of work, with pathways tailored to different roles and generations,” she said. “We offer microlearning, hands-on labs, and peer support so people can practice real-world tasks without fear of failing in front of customers or senior leaders.”
CIOs and CTOs need to involve employees in co-designing AI-enabled workflows, pilots, and feedback loops to create a sense of shared ownership and reduce the feeling that AI is “on the employee’s plate,” Loomis said.
It would also be wise to reframe AI from potentially eliminating jobs to providing avenues for new capabilities and opportunities. “Let’s stop leading the charge on efficiency and cost reduction,” Shapiro said. “Start with competency and focus. When AI is positioned as something that takes low-value, repetitive tasks off people’s plates, employees remain in learning mode rather than defense mode. When leaders frame AI as a way to augment talent rather than replace it, fear falls and real adoption begins.”
If you’re introducing a new AI-based product, consider starting slowly, even if there’s pressure from executives to move quickly.
“Before we ask people to strategize about AI, we should let them use AI,” Shapiro said. “Practical experience is needed before a big-picture AI strategy. People cannot accept or innovate what they can only understand in the abstract. When used by individuals, AI transforms from a threat to a practical support.”
Finally, technology leaders must also ensure that AI is accessible to a wide range of users, rather than limited to specific groups. “AI adoption stagnates when tools are limited to IT, operations, or special innovation teams,” Shapiro said. “Broad access reduces fear, demonstrates trust, and normalizes experimentation.”
