AI in HR: How AI Is Changing HR Skills and Workforce Planning in 2027

04/11/2026 Back to all articles

In my work across HR recruitment, I see how important it is for organisations to have the right skills in place for this to happen.

Why do organisations struggle to turn AI into business value?

A Gartner survey of chief human resources officers (CHROs) found that 78% of leaders lack alignment on where AI creates value. And although 77% of board members expect AI to deliver productivity gains and cost savings, only 3% of organisations exceed their cost-saving goals through productivity gains. Morgan Philips' AI is redefining ‘Ready Now’ whitepaper highlights a similar challenge. Many organisations are experimenting with AI, but fewer are embedding it into workforce planning, leadership development and long-term talent strategy. Quite simply, it’s business transformation, not a standalone technology project.

What AI means for HR teams in 2027?

AI can reduce administrative workloads, analyse information, support recruitment, onboarding, and staff development. Yet, AI can go far beyond that. The CIPD's 2026 research into how AI is changing the application of HR skills highlights a gap between understanding AI's potential and applying existing skills to manage workforce change, redesign jobs, and plan for future needs.

HR leaders should start by identifying specific challenges.

• Where are processes taking too long?
• Which tasks could be automated?
• Where would better data help managers make decisions?
• How will we measure whether AI is delivering the intended results?
• What safeguards are in place for employee or candidate information?

The government's guidance on responsible AI in recruitment covers risk assessment, checking claims, and safeguards. HR teams should establish guidelines covering data protection, confidentiality, accuracy and accountability.

Three priorities for 2027 stand out:

Move to dynamic workforce planning:

HR leaders need to understand how AI changes tasks, skills and roles, not only future headcount requirements.

Redesign jobs around human strengths:

As AI takes on parts of existing roles, organisations need to redesign jobs around human strengths, including judgement, creativity, collaboration and relationship-building.

Work cross-functionally:

AI decisions often affect the whole organisation, so HR should be involved early.

The skills HR professionals need in an AI-enabled workforce

HR professionals need to understand AI's capabilities and limitations, question its outputs, and interpret information critically.

Communication, problem-solving, and adaptability remain important, especially when applying AI insights to people-related decisions.

Human judgement remains vital when dealing with people. AI tools might identify patterns in workforce data, but HR professionals need to understand the context behind those patterns.

Recent CIPD research found that while most HR professionals feel confident using AI tools (67%), confidence is lower when it comes to designing reskilling pathways (40%) and leading job redesign (46%).

As AI develops in 2027, HR teams will need to review skills, identify gaps, provide training, and help managers support employees through role changes. HR professionals who can combine an understanding of technology with commercial awareness and sound judgement are well placed to advise leaders on workforce decisions.

How is AI changing workforce planning?

Workforce planning involves anticipating future business needs and ensuring the right skills are in place. AI makes this more complex, but it also creates opportunities to approach the task differently.

As organisations introduce automation and new technologies, some tasks may take less time, while others may need new skills or more human input. AI does not automatically mean organisations need fewer employees.

For example, if AI can handle certain administrative tasks, an organisation might redesign a role so employees can focus on more complex work. In another situation, it might need to recruit people with new technical or analytical skills. To do this, firms may also develop existing employees rather than recruit externally.

Leaders should consider which capabilities the business will need in the future, where skills gaps are likely to emerge, and whether training, internal mobility, or recruitment address those gaps.

That isn't always straightforward. CIPD research found that only a third of HR leaders feel confident estimating future workforce needs driven by AI.

For organisations facing significant workforce change, interim HR professionals can provide extra expertise for workforce planning, organisational redesign and new people processes, without the immediate commitment of a permanent appointment.

These considerations also matter when recruiting senior leaders in the UK, as organisations need to assess future capabilities, not only previous experience.

Human judgement vs AI decision-making: where should HR draw the line?

AI can identify patterns, but its outputs aren't always accurate or fair. In HR, where decisions affect people's careers, human oversight is essential.

In recruitment, for example, AI might help organise applications or identify candidates whose experience matches set criteria. Yet, an apparent match does not necessarily tell the whole story. A candidate's potential, transferable skills, motivation and suitability for a particular team may need a more nuanced assessment.

This balance between technological understanding and human judgement also applies to leadership. In Morgan Philips’ podcast, The future of hiring: Why past success no longer predicts executive readiness, senior leaders explore why experience alone is no longer enough to predict future performance.

For organisations recruiting C-suite leaders in the UK, this means assessing how candidates think, adapt and make decisions, rather than relying on past achievements alone.

Human oversight is essential. HR professionals need to:

• Question AI outputs and check for bias.
• Ensure decisions follow organisational policies.
• Establish who is accountable for decisions involving AI.

This doesn’t mean avoiding AI in decisions altogether. It means understanding where the technology can give useful evidence and where professional judgement must guide the outcome.

Trust matters, too. Employees and candidates should understand when processes use AI and how that will affect them (such as assessment or significant employment decisions)

How can HR leaders move from AI discussions to implementation?

AI creates opportunities for HR teams, but progress needs plans, the right skills, and clear decision-making boundaries. HR leaders must ensure AI supports business goals while keeping human judgement at the centre of decisions affecting employees.

Want to make sure your HR team is ready for the future?

From responsible AI implementation to workforce planning and skills development, the right HR expertise can help your organisation navigate change and make better decisions.