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CIPD Level 0FREE08AC 2.3

Employee Experience and Managing Change

FREE08People Professionals and Artificial Intelligence (AI)

This CIPD Level 0 video on Employee Experience and Managing Change forms part of FREE08 – People Professionals and Artificial Intelligence (AI), addressing assessment criteria AC 2.3 on the potential impact of AI on jobs, skills and employee experience. The video explores how automation of routine HR and administrative tasks drives job redesign, shifting roles towards strategic and advisory functions whilst requiring employees to develop digital literacy, prompt writing and data interpretation skills. It examines the dual implications of workforce transformation—job displacement versus enhancement—alongside the critical employee experience considerations of AI-driven interactions, perceptions of fairness and trust. By watching, learners will understand how HR professionals can navigate change management challenges, address resistance to AI adoption and support reskilling initiatives to ensure a positive organisational transition.

What this video covers

Covering Assessment Criterion 2.3 of FREE08, this video examines how the growing presence of AI in the workplace shapes employee experience and the specific change management challenges that people professionals must navigate as a result. The video addresses the tension between AI-driven interactions and human contact, looking at how organisations decide where automated systems are appropriate and where human connection must be preserved. It also takes up perceptions of fairness and trust, including why employees may distrust AI decision-making even when those systems are technically sound, and what transparency and accountability mechanisms can do to address that scepticism.

Resistance to AI adoption is treated as a predictable and legitimate response rather than an obstacle to be overcome by persuasion alone. The video identifies the distinct sources of that resistance — including concerns about surveillance, previous negative experiences with technology change, and attachment to existing working practices — and considers how communication, consultation and employee involvement feature in effective responses. Fear of job loss receives particular attention as the most significant barrier to adoption, and the video discusses the balance between honest acknowledgement of workforce impact and the kind of reassurance that preserves rather than undermines trust.

The third strand of the video turns to the practical and cultural work that falls to people professionals in supporting reskilling and workforce transition. This covers identifying skills gaps, facilitating internal mobility, and creating pathways for employees whose roles are being redesigned as routine tasks are automated and work shifts towards more strategic and advisory functions. The video connects these practical responsibilities to a broader cultural dimension, including normalising continuous learning and modelling adaptability within the people profession itself.

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Assessment Criteria 2.3

Discuss the potential impact of AI on jobs, skills and the employee experience

Indicative Content

Job redesign: Automation of routine HR/admin tasks Shift towards strategic and advisory roles Skills implications: Digital literacy Prompt writing and critical thinking Data interpretation Workforce impact: Job displacement vs job enhancement Employee experience: AI-driven interactions vs human contact Perceptions of fairness and trust Change management challenges: Resistance to AI adoption Fear of job loss Role of HR in supporting reskilling and transition

What You'll Learn

Video covering: Employee Experience and Managing Change

About FREE08People Professionals and Artificial Intelligence (AI)

CIPD Level 0
FREE08
Learning Outcome 2

To develop learners’ understanding of how artificial intelligence is used in people practice, the opportunities and risks it presents, and how HR professionals can use AI responsibly to improve decision-making, efficiency and employee experience.

View all FREE08 assessment criteria

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