The agentic workforce arrives: AI and the HR transformation

May 2026  |  FEATURE | LABOUR & EMPLOYMENT

Financier Worldwide Magazine

May 2026 Issue

Human resources has gradually evolved from an administrative function to a strategic business partner – a journey shaped by industrial revolutions, social reforms, globalisation and technological innovation. In recent years, the rise of artificial intelligence (AI) technologies has had a major impact on HR practices, reshaping the function’s traditional status quo by automating routine and time-consuming tasks and enabling data driven decision making.

Among the available technologies, the most significant in an HR context is agentic AI.

According to IBM, agentic AI is a system capable of achieving a specific goal with limited supervision. It consists of AI agents – machine learning models that mimic human decision making to solve problems in real time. In a multiagent system, each agent performs a particular subtask required to reach the overall goal, with orchestration ensuring their actions work in concert.

Unlike traditional AI models, which operate within predefined constraints and rely on human intervention, agentic AI exhibits autonomy, adaptability and goal-driven behaviour. The term refers to the system’s agency, or its capacity to act independently and purposefully.

IBM notes that agentic AI builds on generative AI techniques by using large language models (LLMs) to operate in dynamic environments. While generative models focus on producing content based on learned patterns, agentic systems extend this capability by using generated outputs to complete specific tasks, often by calling external tools. For instance, a generative model such as OpenAI’s ChatGPT may produce text, images or code, whereas an agentic system can use this content to pursue complex goals autonomously.

“Agentic AI moves HR from automating single tasks to handing chunks of operational decision making to systems that can run an entire workflow – from sourcing through to onboarding – with very limited prompting,” explains Ellie Hurst, commercial director at Advent IM. “Old-school automation stayed inside a tight script: do X when Y happens. Agentic AI is closer to delegated operations – it can join the dots across systems and keep going until it thinks the objective is met.”

Capabilities and components

In HR, organisations maintain that they are not using agentic AI to replace human connection, but to scale and enhance it, making the function more responsive, personalised and service oriented.

“The fundamental difference is one of delegated authority,” says Ronan Carbery, a professor and director of the Executive MBA programme at Cork University Business School. “Traditional HR automation follows rules that are programmed; if a job application contains certain keywords, move it to the next stage. Agentic AI makes judgements. It decides which candidates advance, schedules interviews, evaluates responses against patterns it has learned and recommends actions.”

According to McKinsey and Company’s 2025 analysis ‘HR’s transformative role in an agentic future’, agentic AI is more than a technological upgrade. It has the potential to reshape work itself, requiring HR to reimagine its role across several dimensions.

Strategic workforce planning will shift from static, role-based models to dynamic, activity-based structures that identify which tasks are suited to humans, AI agents or hybrid approaches. Access to real-time data will help HR forecast needs, identify skills and redeploy talent, enabling a more agile and value-focused workforce plan.

Organisational design will increasingly integrate human and digital labour. Agentic AI offers capabilities such as scenario modelling, workforce insights and culture monitoring, allowing HR to collaborate with business leaders in designing more adaptive structures and operating models.

People attraction will also change. Hiring individuals for static roles based on past experience is becoming insufficient. HR will prioritise meta-skills such as learning agility, adaptability and the ability to collaborate with AI systems. Build, buy and borrow strategies will consider both human and technological capability, and hiring managers will lead increasingly seamless attraction processes.

Hybrid learning and development will become the norm. Continuous, contextual learning will be supported by AI coaches and adaptive upskilling in the flow of work. Agentic systems can tailor learning paths based on individual performance and shifting skill requirements. Managers will supervise and develop both human employees and AI agents.

Talent management will move away from linear career paths. Performance and incentives will focus on outcomes, collaboration with AI agents and innovation in hybrid workflows. Agentic systems can help employees define goals and career plans, and enable HR to produce more tailored performance approaches and data driven succession plans.

Employee experience and culture will become critical. As technology accelerates, employees seek meaning, trust and connection. Agentic AI can monitor sentiment and engagement patterns continuously, providing insights that help leaders tailor interventions. HR will need to maintain trust through transparent communication and shared decision making.

“Agentic AI brings autonomy, memory and orchestration into HR,” notes Ms Hurst. “Rather than completing a single step, it can pursue an outcome – for example reducing time to hire or closing a skills gap – by coordinating actions across HR information system platforms, recruitment tools and learning systems, then adjusting based on what worked last time.

“Once an AI agent can recommend, prioritise or act, decision rights are needed, with transparency and escalation baked in,” she continues. “Without hard boundaries, the system can drift into high-impact employment decisions with too little oversight. That is why strong governance frameworks, audit trails and named accountability become non-negotiable as HR moves from scripted automation to autonomous agents.”

Blurring the lines

While proponents highlight its advantages, HR teams adopting agentic AI must remain aware of risks linked to the blurring of lines between human and digital labour.

“The primary risk is designing hiring processes where humans validate algorithmic outputs rather than make actual decisions,” says Mr Carbery. “When organisations use agentic AI and LLMs to write job specifications, and we have candidates using another LLM to generate applications, and then a different LLM to screen these applications – we are optimising for algorithmic legibility rather than actual capability or fit.

“Beyond selection mechanics, organisations need to consider accountability and worker relationships,” he continues. “When algorithmic systems manage performance evaluation, task allocation or termination decisions, who bears the responsibility for outcomes? HR teams must recognise that workers attribute intentions to these systems, developing psychological relationships with algorithms much as they would with human managers.”

Ms Hurst warns that automation complacency is another danger. As teams grow accustomed to agent-generated recommendations, human judgement may weaken, particularly where nuance is essential. Decisions may appear ‘objective’ simply because they carry a confidence score.

These concerns are compounded by the increasing sophistication of conversational interfaces, which can make AI agents feel indistinguishable from human counterparts. Candidates and employees may assume they are interacting with HR professionals rather than automated systems, heightening expectations of empathy, discretion and fairness. This creates a subtle psychological tension, as individuals are more likely to disclose sensitive information or seek reassurance from an entity that cannot truly reciprocate. HR must therefore navigate the emerging etiquette of human-agent communication, establishing norms that promote clarity without undermining the efficiency gains that automation provides.

These issues intensify concerns about how humans relate to digital systems. “If candidates do not realise they are dealing with an automated agent, trust erodes fast, creating questions about disclosure, consent and the integrity of the process,” says Ms Hurst. “Screening, messaging and recommendations can influence career outcomes at scale, so fairness and transparency stop being ‘nice to haves’ and become core compliance concerns.”

Regulatory stakes

Although no global legislation governs agentic AI in HR, regulatory frameworks are evolving rapidly. The EU AI Act, fully applicable from 2 August 2026, is at the forefront of these efforts.

“In Europe, the EU AI Act classifies HR algorithms as high-risk systems requiring rigorous assessment, with potential fines reaching €34m,” states Mr Carbery. “Legal liability extends beyond discrimination claims. When AI systems generate unlawful termination notices or hallucinate incorrect policies, organisations remain accountable. The ethical challenges run deeper than compliance frameworks, however.

“HR functions need to have clear accountability structures, maintain meaningful human oversight of consequential decisions and develop the capacity to question rather than just defer to algorithmic outputs,” he continues. “I would also like to see organisations articulate the moral framework governing workplace technologies.”

As regulation expands, organisations will need to ensure their systems are compliant from the outset. “Agentic AI raises the regulatory stakes for HR because it can continuously process personal data and make, or materially influence, employment decisions,” observes Ms Hurst. “That pulls organisations straight into the tricky intersection of data protection, profiling and automated decision making, especially when the agent combines datasets or infers sensitive characteristics.

“Accountability is the uncomfortable centre of gravity,” she continues. “If an agent rejects candidates, nudges pay decisions or flags performance issues, the organisation still owns the result. If responsibility is left vague, liability fragments across HR, IT, vendors and ‘the model’, which is not a legal entity you can put on an organisational chart.”

Structural shift or passing fad

Adoption of agentic AI is expected to accelerate across industries. Salesforce research anticipates a 327 percent increase in AI agent uptake over the next two years, with productivity gains of around 30 percent. Even so, there are mixed views on whether HR is on the cusp of a workplace planning revolution.

“Uptake will likely accelerate because the efficiency gains appear immediate and compelling,” suggests Mr Carbery. “This will result in organisations automating a lot of HR work without recognising that they are eliminating the developmental experiences embedded within it.

“Agentic AI forces organisations to choose between seeing HR as there to process work or to develop the capability organisations will need,” he continues. “Organisations that choose transaction processing over capability development should not be surprised when they lack the strategic leadership they need.”

Others believe the technology’s success depends on how thoughtfully it is deployed. “Used well, agentic AI can improve consistency, provide surface skills insights faster and free HR professionals to focus on oversight, culture and the bits of people-work that genuinely need people,” says Ms Hurst. “Used badly, it can hard-code bias, widen regulatory exposure and damage trust.”

“My bet is that agentic AI is a structural shift, not a passing fad. The question is whether organisations treat it like autopilot – with rules, training, monitoring and a clear human captain – or like magic. The winners will be the ones who move fast enough to learn, but slow enough to stay in control,” she adds.

As organisations step into the agentic era, AI will transform HR – and leaders will need to intentionally shape that transformation. Agentic AI encourages HR professionals to look beyond process gains and consider the deeper character of the workplaces they are helping to create. This requires technical competence and intellectual curiosity, as the relationship between humans and intelligent systems becomes more collaborative and interdependent. Organisations should strive to balance bold experimentation with steady, thoughtful governance, recognising that the human contribution remains central in determining whether this shift becomes strengthening or destabilising.

Agentic AI also presents HR with a rare opportunity to extend its strategic reach. By designing transparent systems, setting clear ethical parameters and cultivating a culture in which people and intelligent agents enhance one another’s strengths, HR can guide organisations toward more adaptive, imaginative and humane ways of working. The transition is complex, yet the promise is considerable: a future shaped not solely by productivity metrics but by the capacity to unlock new forms of value and possibility.

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BY

Fraser Tennant