The CHRO’s Workforce Agenda for 2026: Leading People Through AI Transformation

No executive is closer to the human consequences of AI transformation than the Chief Human Resources Officer. As organisations across every sector deploy AI to automate tasks, augment decision-making, and reshape operating models, the CHRO faces a question that is simultaneously strategic, ethical, and deeply personal: how do we transform how work is done while preserving the trust, capability, and commitment of the people doing it? In 2026, the answer to that question will define culture, talent retention, and organisational performance for years to come.

How Is AI Reshaping Workforce Structure?

The impact of AI on workforce structure is more nuanced than the headline narratives of job displacement suggest. The roles most immediately affected are those involving high volumes of repetitive, rule-based cognitive tasks — data processing, document review, routine analysis, and standardised customer interactions. These roles are being automated or significantly augmented across finance, legal, HR, and customer service functions. However, the same wave of automation is creating demand for new roles: AI oversight and governance, data interpretation, human-AI interaction design, and the kind of complex judgement and relational work that AI cannot replicate.

The CHRO’s strategic challenge is to manage this transition at pace — identifying which roles are changing, designing credible reskilling pathways for affected employees, and recruiting or developing the new capabilities the organisation needs. The organisations getting this right are those that treat workforce transformation as a strategic programme with dedicated resources and executive sponsorship, rather than a series of ad-hoc responses to technology deployment decisions made elsewhere in the business.

What Does AI Mean for Talent Acquisition and Retention?

AI is transforming talent acquisition as profoundly as it is transforming other HR functions. Screening tools, skills-matching platforms, and AI-assisted interview analysis are reducing time-to-hire and expanding the reach of talent searches. However, they also introduce significant risks. AI-assisted hiring tools have been shown to perpetuate historical hiring biases when trained on past hiring decisions, and the ICO has published clear guidance under UK GDPR requiring transparency about automated decision-making in recruitment. CHROs must ensure that AI tools used in talent acquisition are subject to regular bias audits and that candidates are informed when automated processes influence hiring decisions.

On retention, the evidence is clear: the organisations retaining talent most effectively through periods of AI transformation are those that communicate proactively and honestly about the changes underway, invest meaningfully in reskilling, and give employees genuine agency in shaping how AI is adopted in their areas of work. Fear and uncertainty are the primary drivers of attrition during technology transformations — and both are addressable through transparent leadership communication.

Navigating the Legal and Ethical Dimensions of AI in the Workplace

The use of AI in employment decisions — whether in hiring, performance management, promotion, or redundancy — creates significant legal exposure under UK employment law and the Equality Act 2010. Any AI system that produces outputs with a disparate impact on protected groups — by age, gender, ethnicity, disability, or other characteristics — may give rise to indirect discrimination claims, regardless of the intent behind the system’s design. CHROs must ensure that legal and HR teams have reviewed the use of AI in any people process that influences employment outcomes, and that appropriate human oversight is built into all such processes.

The emerging framework around workplace monitoring — the use of AI tools to monitor productivity, attendance, and behaviour — adds a further dimension. The ICO has issued guidance making clear that excessive or disproportionate employee monitoring is likely to breach UK GDPR. CHROs should review any AI-based monitoring tools currently in use against the ICO’s guidance and ensure that employees are clearly informed about what data is collected and how it is used.

CHRO Action Plan: Four Priorities for 2026

• Build a workforce transformation map. Identify which roles and functions will be most affected by AI adoption in the next 18 months, and develop a proactive reskilling and redeployment strategy — before automation decisions are made, not after.
• Audit AI use in people processes. Review all AI tools currently used in recruitment, performance management, and workforce planning against UK GDPR, the Equality Act, and ICO guidance. Introduce human oversight requirements where automated decisions influence employment outcomes.
• Develop an AI communication strategy. Create a structured, ongoing communication programme that keeps employees informed about how AI is being adopted, what it means for their roles, and what support is available. Transparency is the single most effective retention tool during transformation.
• Invest in AI literacy across the workforce. Commission a tiered AI literacy programme — from executive education at board level to practical tool training for frontline staff — that builds the organisation’s capacity to work effectively alongside AI systems.

Frequently Asked Questions

Can employers use AI to monitor employee productivity in the UK?

Yes, but subject to clear constraints. Under UK GDPR, employee monitoring must be necessary and proportionate, employees must be informed that monitoring is taking place, and the data collected must not be used in ways that go beyond the stated purpose. The ICO recommends a data protection impact assessment (DPIA) before introducing any new employee monitoring technology. Excessive monitoring — particularly covert surveillance — is likely to breach both data protection law and implied terms of the employment contract.

How should CHROs handle redundancies driven by AI automation?

Redundancies driven by AI automation must follow the same statutory process as any other redundancy — including genuine consultation, fair selection criteria, and statutory or contractual notice and pay. CHROs should also consider the reputational and cultural consequences of AI-driven redundancies, and where possible prioritise redeployment and reskilling over immediate headcount reduction. The employment tribunal risk of poorly managed AI-related redundancies — particularly if affected employees can demonstrate that selection was influenced by biased AI outputs — is significant.

What is the CHRO’s role in AI governance?

The CHRO should be a core member of any organisational AI governance structure, with specific accountability for the use of AI in people processes, the workforce implications of AI deployment, and the organisation’s AI literacy and reskilling programmes. AI governance is not solely a technology and legal question — it is fundamentally a people question, and the CHRO’s perspective is essential to getting it right.

Informd provides intelligence briefings for senior business leaders across technology, finance, strategy, and compliance. Based in Milton Keynes, UK, we help executives stay informed and act with confidence. Explore our full briefing library or speak to our team about our subscription service.