Erica Farmer, AI and Future Skills Specialist, Speaker, Trainer, Author, Podcast Host explains the next steps for HR in the world of AI.
AI isn’t coming; it’s already here. And HR doesn’t have the luxury of watching from the sidelines.
Over the last year, while writing AI for People Professionals, I’ve spoken to HR leaders, L&D teams, consultants and people partners across sectors. What I’ve learned is this: the biggest barrier to AI adoption is not the technology. It’s the mindset. And that’s squarely in HR’s territory.
So if you’re in HR right now, what do you actually need to focus on? Not the hype. Not the headlines. The real, practical stuff.
Let’s start here.
AI adoption is a human challenge, not a technical one
Most organisations now have access to AI tools. Many have rolled them out. Some have even run training sessions. And yet… usage remains inconsistent. Confidence is patchy. Quiet resistance is real.
Why?
Because people feel exposed.
They’re worried about getting it wrong.
They’re unsure what’s allowed.
They’re concerned about data privacy.
And some are quietly wondering whether AI is edging closer to their job than they’d like.
If HR professionals feel that way, imagine how the wider organisation feels.
AI adoption is emotional before it is operational. If HR treats AI as risky or intimidating, that signal travels fast. If HR approaches it with curiosity and grounded confidence, that travels too. The first job of HR in this era isn’t to master every tool. It’s to model the right posture: open, critical, thoughtful and willing to experiment.
The real skills gap isn’t coding
When AI comes up in board conversations, the language often drifts toward tools and data. And that’s important, but it’s not where most HR teams should focus.
The real skill shift for HR is far more human.
First, critical thinking has never been more important. AI can generate content in seconds, but it cannot take responsibility. HR professionals need to interrogate outputs, challenge assumptions, check for bias and apply judgement. Blind trust in AI is just as risky as outright rejection.
Second, structured thinking matters. AI responds to clarity. If your input is vague, your output will be too. HR professionals who can define context, articulate outcomes and refine prompts iteratively will get far more value. This isn’t about learning ‘magic prompts’. It’s about learning how to think clearly and communicate intent.
Third, governance needs to become practical. When should AI be used in recruitment? How should it support performance conversations? What data is off-limits? HR must create simple, usable guardrails. Not dense policies that sit unread on a shared drive but living principles that guide everyday decisions.
Confidence drives adoption, and that starts with transparent wins
One of the biggest myths I’ve seen is that AI capability can be solved with a workshop. You can run brilliant sessions. You can provide toolkits and templates. You can draft policies. But if people don’t feel safe experimenting, nothing sticks.
What works better? Small, safe wins.
Start with low-stakes applications. Drafting job descriptions. Summarising engagement feedback. Creating the first outline of a learning programme. Turning messy notes into structured content. Let people see that AI can support them rather than threaten them.
Encourage peer sharing. Ask teams to bring one example of how they’ve used AI that week. Make it normal to say, “I tried this and it worked,” or even, “I tried this and it didn’t.” This is key as momentum builds belief and in turn, belief builds adoption.
Stop obsessing about efficiency and start thinking about elevation.
Most AI conversations are framed around productivity. Faster emails. Automated admin. Reduced time on repetitive tasks. And that’s fine first off as efficiency matters.
But if we stop there, we’ve missed the point. The real opportunity for HR is elevation. If AI reduces administrative burden, what are we choosing to do with the space created?
More strategic workforce planning?
Deeper conversations with leaders?
Stronger coaching capability?
More inclusive and data-informed talent decisions?
AI should create room for higher value human work. But that only happens if HR intentionally protects and reinvests that time. Otherwise, the ‘time saved’ simply becomes pressure to do more. HR has a responsibility to ensure that AI doesn’t just drive output. It should enhance the quality of work and the wellbeing of the people doing it.
The mindset shifts that matter most
Through my research and client work, five mindset shifts stand out.
The first is moving from expert to explorer.
HR has traditionally positioned itself as the policy authority. In an AI-enabled world, credibility will come from adaptability. The best HR leaders are testing, learning and refining in real time.
The second is moving from control to collaboration.
AI governance cannot sit solely within HR. It requires partnership with IT, legal and business leaders. Co-creation builds both trust and accountability.
The third is shifting from fear of replacement to redesign of value.
Some tasks will change. Some may disappear. But HR’s core value – empathy, ethics, judgement and contextual understanding – becomes even more important. The question is not whether HR is needed. It’s where HR should now focus its energy.
The fourth shift is from tool training to behaviour change.
Teaching features is easy. Shaping how people think with AI is harder. But that’s where sustainable impact lies.
And finally, HR must move from reactive to strategic.
Waiting for AI to happen to the organisation is no longer viable. HR should be mapping impact across the employee lifecycle now, identifying both risks and opportunities.
So what should HR do this quarter?
Keep it simple.
Start by asking your HR team how confident they feel using AI. Not whether they’ve had training. Whether they feel confident. That distinction matters.
The go ahead and identify three low-risk use cases and run a 30, 60 and 90 day experiment. Keep the scope tight. Create short, practical guardrails that clarify what is acceptable and what requires review. Track it, and more importantly, communicate the wins.
Embed AI literacy into existing programmes rather than creating separate “AI initiatives”. Leadership development, manager training and talent discussions should all include conversations about responsible AI use and using large language models in terms of personal tutors, coaches and trainers. Role play with them and set them up as research partners and thought collaborators to build depth and stretch into learning.
And most importantly, celebrate the examples. Show how AI helped someone save time, improve insight or enhance communication. Stories reduce fear faster than policies do and this is where our leadership teams can really step up.
In summary, AI is not a technology project. It is a people transformation.
HR does not need to become technologists. But it does need to become translators, between technology and trust, automation and ethics, efficiency and humanity.
The future of AI at work will not be determined by the tools organisations buy. It will be shaped by the mindset HR chooses to model and how that impacts mindset, behaviour and culture.
Erica will be one of the panelist at our forthcoming webinar What Future for HR – surviving in a fast changing workplace on 11th March at midday. Sign up here for this free discussion now.
