If you want your people to use AI, stop telling them it won’t take their jobs

The biggest barrier to AI isn’t technical at all; it’s cultural. AI initiatives often stall because employees are fearful about what the technology could mean for their jobs.

According to Edelman’s Trust Barometer, when employees feel threatened by AI, this perception doesn’t just “feel bad”; it is also statistically linked to worse work outcomes through elevated stress and lower wellbeing.

Left unchecked, AI anxiety can become an operational risk – driving reduced AI adoption, change fatigue, lower trust in leadership and lost productivity.

Researchers at the University of Florida have identified this as AI Dysfunction (AIRD): anxiety, insomnia, paranoia, and profound occupational identity loss triggered not by actual redundancy, but by the perception of it.

Even when an employee’s role remains unchanged, they may still carry the psychological weight of feeling replaced.

What must HR do about this?

Organizations must show staff how the personal benefits of using AI outweigh the risks.

CHROs specifically have a crucial role to play in shaping that mindset and helping companies to make the shift.

Recent research underscores just how significant AI has become for them.

In the 2026 CHRO Survey from the CHRO Association and the University of South Carolina’s Darla Moore School of Business, 91% of CHROs said AI and workplace digitization are their top priority – well ahead of governance, talent, and engagement issues.

Here are some practical ways that CHROs can do this:

1. HR must take the lead

CHROs are best placed to lead organizational approaches to AI.

In fact, CHROs and the HR team are ideally situated to monitor how new AI tools are being used, manage feedback, and respond to concerns about ethics, privacy, and safety.

AI adoption is more likely to happen in organizations when CHROs embed ethical AI into workplace practices and decision-making, support lifelong learning and workforce adaptability, and build trust in human-machine systems.

2. Tackle the rise of ‘shadow AI’

When 'shadow AI’ goes unchecked, it can create risks for organizations. A frequent example of this is using generative AI tools like ChatGPT without company approval to help with tasks such as editing text or analyzing data.

People often use these tools to save time and get work done faster. But when IT teams do not know they are being used, these tools can create threats to data security, compliance, and the organization’s reputation.

CHROs are ideally placed to give IT useful feedback on the roll-out of AI from the employee’s perspective.

Plus, by creating robust AI polices that focus on the importance of cybersecurity and compliance, HR teams can manage the risk of shadow AI while embracing the benefits of the new technology.

Upskilling workers on the risks, and opportunities, of using a company’s AI tools keep staff, businesses and data safer.

3. Be specific about the upside

Organizations often claim AI won’t cost jobs, and that it will improve people’s roles by creating more time for strategic work. However, when employees ask what this will look like in practice, the answers can quickly become vague.

Sometimes that’s because leaders don’t fully know the details themselves. If that is the case, they should say so. Vague claims and promises without evidence will only make people uneasy about AI.

However, if leaders have a clear sense of how AI is likely to affect jobs, they should explain it early so people get the clarity, support, and reassurance they need.

The people with the clearest view of where AI could help in a role are usually the ones doing the job.

Through the CHRO, organizations should work with employees and managers to shape roles that use AI as support, helping people to feel more confident and even excited about what’s next.

4. Stop telling people that AI won’t affect jobs

When senior leaders insist that AI investment won’t lead to job losses, people often find this hard to believe. AI is usually sold on efficiency and productivity, so it’s natural for employees to worry what that means for their own roles. Add to this the steady stream of news about layoffs and that anxiety only grows.

If employees think leadership is glossing over the real impact AI could have on the workforce, they are more likely to resist the new technology, or even quietly work against it.

After all, why would someone put energy into rolling out a tool they think might replace them?

Executives must avoid empty platitudes that employees see as misleading. Instead, they should be open about what may change and have honest conversations about how roles could evolve.

Leaders can still paint a positive vision of AI, but it should be developed with employees, not just presented to them.

IKEA is a good example of a company successfully turning AI adoption into an opportunity by retraining 8,500 call-handlers as interior design advisors.

An AI chatbot called Billie now answers almost half of customer inquiries. But rather than losing their jobs, call-handlers are being reskilled to offer advice as part of IKEA’s interior design service.

A human-centric approach to organizational and technology design makes it much easier for employers to introduce AI in a way that supports people instead of unsettling them.

5. Improve the employee experience

AI technology can be used to improve the employee experience by enhancing employee skills, eliminating repetitive tasks, and elevating different aspects of HR processes, including onboarding, performance, and personal development.

A detailed understanding of business processes makes it much easier to fit new AI tools into day-to-day workflows.

A recent study from Harvard Business Review found that employees are dealing with ‘upskilling fatigue’.

They keep hearing that they need to learn the next new tool, just as the goal seems to shift again. If organizations want people to invest time and energy in AI, they must convince them that the effort will genuinely pay off.

That’s why more human-centric design matters. When organizations think carefully about how work gets done – and the HR team takes the lead here – they’re in a much better position to introduce AI in ways that help rather than frustrate employees.

6. Be transparent about new AI tools

Both organizations and employees worry about issues including AI safety, ethics and hallucinations. Edelman’s survey of over 5,000 respondents across five countries found that people are far more likely to adopt AI when they understand how it works and why it produces certain outputs.

When rolling out new AI tools, especially GenAI, CHROs need to ensure people understand, at a practical level, how these models arrive at conclusions.

Employees need to be confident the tools are acting without prejudice and that their data privacy is protected.

If an organization can’t yet offer that level of transparency to employees, it’s better to put those foundations in place first before moving ahead with AI implementation.

HR leaders are uniquely positioned to work closely with legal, data, compliance, and IT departments to audit algorithms, validate outcomes, and ensure alignment with organizational values and legal requirements. Clear communication, training, and involving staff is crucial in building acceptance of AI models.

7. Create safe spaces for experiments and mistakes

CHROs are in a great position to help shift the culture of their organizations and encourage innovation. When people believe mistakes are treated as learning opportunities rather than failures, they are much more likely to experiment with new technologies.

Many organizations are already seeing the value of appointing “innovation champions” — employees who are eager to test new technologies and share what they have learned. Many of the valuable benefits from AI will come from people across the workforce trying out different use cases and seeing what works.

When implementing AI, don’t simply focus on efficiency. Doing this can make employees feel insecure as AI can do several things better and faster than humans. Instead, think about process change, where the system is redesigned with people taking on different roles. As a result, employees are more likely to feel valued.

Ultimately, creating psychological safety around AI implementation will allow for three outcomes in an organization – AI use, reporting of success and failures, and experimentation.

The bottom line on AI and HR

Once employees embrace AI as an enabler of progress rather than an obstacle to it, new horizons open for both them and their organization.

The AI revolution has the potential to significantly disrupt the operating model of organizations.

For HR leaders, the key insight is that this is as much about people management as it is about technology.

CHROs who succeed will be those who can strike the right balance between what AI can do and what people do best - creativity, judgement, and empathy.