7 Top Employee AI Concerns – and How to Respond to Them

AI has taken on some serious main-character energy in 2026 so far. It’s been driven to the top of the agenda for many of us working in IC, HR, and EX as employee usage skyrockets while guidance, guardrails, and support lag behind.

Last year, the Institute of Internal Communication wrote that our profession has a pivotal role to play in helping employees build greater understanding of – and trust in – AI. But while many organizations have focused on the technology itself, few have thought in depth about the shifts in employee behavior that will be necessary for its successful integration. Essentially, we’re asking people in office-based roles to work in entirely different ways. Which is a completely easy thing to do – said nobody ever.

Change is hard, we all know that. But for many organizations, success in the future of work is going to require company-wide AI literacy.

Despite this knowledge, research clearly points to a “lack of employer support” as one of the biggest barriers to AI transformation. We need to up our game, which is certainly easier said than done when we’re also learning as we go. I recently asked my network on LinkedIn if they felt confident and equipped to answer questions from employees about AI usage at work. Only 17% said they did; 50% definitely did not, and the remaining 33% were somewhere in between.

To turn things around, I believe preparation is key. Here are seven top concerns employees have about AI – and suggestions for how you can respond.

1. Unethical use of AI

The unethical use of AI at work is one of the top concerns for employees, who are worried about “its potential for malevolent behavior.” I’m talking about things like privacy breaches, unknown surveillance, and AI bias that might lead to unethical decision-making and discrimination.

One of the best ways to acknowledge and respond to this concern is to introduce an “AI Usage Guide” that clarifies your organization’s dos and don’ts, and wills and won’ts, when it comes to AI.

As well as providing helpful clarity of what is – and what is not – accepted for employees using AI at work, the guide should set out when and how the employer will use it, and how the AI involvement will be disclosed or reported. Clarity and transparency are crucial.

2. Job displacement

Unsurprisingly, people are still worried that AI might take their jobs. The more we talk about AI transforming the modern workplace, the more uneasy employees feel about the potential for their core responsibilities being automated and their roles being at risk.

The most impactful way to ease this concern is to emphasize the importance – and irreplaceability – of human input. Across central messaging and guidance, clearly position AI as an enabler and supporter of, rather than a replacement for, human input. Think about the language being used by leaders about AI at work, and consider producing talking points for managers that highlight the distinctly human qualities that AI can’t replace, such as critical thinking, complex problem-solving, and creativity.

While I wouldn’t recommend sharing a statement in a company-wide All-Hands that says “AI will never replace any of your jobs” – because who knows what the future will hold – subtle reassurance is critical. Hold strong with the core message that AI is an enabler of performance, not a replacement for your workforce.

3. Loss of human connection

Another concern that employees have about AI at work is the death of collaboration. While AI assistants can significantly speed up and improve our access to information, they can also eliminate the need for us to talk to other people.

The rise of AI at work can lead to more individualistic ways of working, which has been coined by some as the “AI-solation effect.” People are consciously choosing to use AI tools rather than collaborating with their colleagues or managers.

The best way to address this concern is by bringing connection and collaboration back to the top of the agenda:

• Make team huddles, monthly department meetings, and leader check-ins a clear priority.
• Spotlight employee success stories and real-life case studies in your internal communications.
• Push back on any proposed budget cuts for in-person events and activities. 
• Educate your senior leaders on authentic leadership communication, and don’t let your CEO hide behind soulless AI-generated updates.

4. Spread of misinformation

People are increasingly concerned about the spread of misinformation as AI usage rises. Aside from eroding professional trust and credibility, inaccurate AI-generated content can result in serious operational errors. And it’s not an unfounded concern for employees to have when you consider the crazy world of deepfakes and synthetic data outside of the workplace.

Making sure your people are equipped to spot AI bias and errors should form a key part of your company’s risk management strategy. This stems from open communication, education, and support.

In addition to the AI Usage Guide that I talked about earlier, consider launching “AI Literacy Labs” or forums for myth-busting and open feedback. Highlight your verification policy for reviewing content and information, and encourage employees to always report anything they feel is inaccurate or misleading.

5. Environmental damage

As the use of AI has surged, so has the toll it's taken on the planet.

Globally, the data centers and infrastructure that power AI are soon estimated to consume six times more water than the entire country of Denmark. This is a huge issue, considering that 2.2 billion people around the world still lack access to clean drinking water services. And this is before we even think about carbon emissions or hazardous electronic waste.

Reacting in a meaningful way to these concerns involves taking action at a company level to reduce your carbon footprint. Consider switching to data centers or AI providers that are powered by renewable energy, and always favor energy-efficient AI models.

Take employees on this journey with you: communicate transparently about the research you’re doing as an organization, and the efforts you’re making to minimize any negative impacts.

6. Skill obsolescence

The fear of skill obsolescence has become a very real concern for many employees in office-based roles. We’re expecting people to work in new ways by integrating AI into their daily tasks. This isn’t something that will come naturally to everyone and can result in a lack of confidence and cognitive overload.

To address this concern, you need to focus on accessible AI education and upskilling.

Incorporating both formal and informal training will help break down barriers and level the playing field. On the formal side of things, build AI literacy into career mapping and performance review conversations, and launch mandatory training and refresher campaigns. More informally, host regular lunch-and-learns, drop-in Q&A sessions, and peer-to-peer learning opportunities. 

7. Compliance anxiety

A concern that’s still top of mind for lots of people is the fear of doing something wrong. Particularly for those who aren’t using AI outside of work, there can be a very real worry about getting in trouble or mistakenly doing something they shouldn’t.

This “compliance anxiety” is actually a valid concern when we think about the risks of things like data breaches as many of us navigate AI for the first time. People need to feel supported to begin incorporating AI into their daily work and reaping the productivity benefits. They need clarity on the “dos and don’ts,” and they need to know where to turn for help.

This is where having an AI Usage Guide makes a big difference. Including a “traffic light framework” is an accessible way for employees to categorize their tasks and consider the appropriateness of the use of AI. And a section on “disclosure and reporting” will remove any ambiguity on how, when, and why to report or disclose something in relation to their use of AI.