Why HR Should Stop Optimising Jobs and Start Designing Work
- 5 Min Read
As AI becomes embedded into everyday work, organisations are beginning to rethink how work itself is designed. This article explores why HR should move beyond optimising existing roles and take the lead in redesigning work around skills, outcomes and human-AI collaboration.
- Author: HRD Connect
- Date published: Jul 17, 2026
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For decades, organisations have built work around clearly defined roles, responsibilities and reporting lines. HR has refined job descriptions, competency frameworks and career pathways to help employees understand what success looks like.
Artificial intelligence is beginning to challenge those assumptions.
Rather than simply automating individual tasks, AI is changing how work is organised, who performs it and where value is created. Increasingly, the question facing HR is not how to integrate AI into existing jobs, but whether those jobs should be redesigned altogether.
As organisations move beyond experimentation and begin scaling AI across the business, work design is emerging as one of HR’s most important strategic responsibilities.
AI is changing work, not just jobs
Many organisations have approached AI by identifying repetitive tasks that technology can automate. While this can deliver productivity gains, it often leaves existing workflows largely unchanged.
Leading organisations are taking a different approach.
Instead of asking, “Which tasks can AI perform?”, they are asking, “How should this work be done in the future?”
The World Economic Forum’s Future of Jobs Report 2025 predicts that technological change will reshape almost a quarter of today’s jobs by 2030, while around 59% of the global workforce will require reskilling or upskilling. Rather than eliminating work altogether, AI is expected to redistribute tasks between people and technology, creating new responsibilities while reducing the time spent on routine activities.
For HR, this means moving beyond workforce planning towards work planning.
Job descriptions are becoming less relevant
Traditional job descriptions assume work remains relatively stable over time.
In reality, many employees now use AI tools to draft reports, analyse data, prepare presentations, summarise meetings and generate ideas. Two employees with identical job titles may already perform their roles in completely different ways depending on how effectively they use AI.
Research from Microsoft’s 2025 Work Trend Index found that organisations are entering what it describes as the era of the “Frontier Firm”, where AI becomes embedded into everyday work and employees increasingly collaborate with AI agents to complete tasks.
As AI capabilities continue to evolve, static role descriptions quickly become outdated.
Instead, organisations are beginning to focus on capabilities, outcomes and decision-making responsibilities rather than prescribing every individual task.
HR has an opportunity to redesign work
Historically, work design has often sat within operational or transformation teams.
AI is changing that. Technology now affects collaboration, skills, organisational structures and employee experience simultaneously, HR is uniquely positioned to lead conversations about how work should evolve.
This involves asking broader questions.
- Which activities genuinely require human judgement?
- Which decisions could be supported by AI?
- Where should employees spend more time building relationships, solving problems or innovating?
- What new capabilities will managers need?
Answering these questions requires collaboration across HR, technology, operations and business leaders. However, HR is increasingly responsible for ensuring organisational design supports both business performance and employee development.
Skills are replacing tasks as the unit of work
As organisations redesign workflows, skills are becoming more important than narrowly defined roles.
According to LinkedIn’s 2025 Workplace Learning Report, organisations are accelerating skills-based approaches to hiring and internal mobility, recognising that employees can contribute across multiple functions as business needs evolve.
This shift allows organisations to deploy talent more flexibly while helping employees build broader careers.
Rather than recruiting for fixed positions, employers are increasingly identifying the skills required for a piece of work and matching people accordingly.
For HR, capability mapping, workforce planning and learning strategies are becoming closely connected.
Managers will need new capabilities
Redesigning work also changes what effective management looks like.
Managers are no longer responsible solely for allocating work between team members. Increasingly, they will need to decide which activities are completed by people, which are delegated to AI and how both work together effectively.
This requires new leadership capabilities, including digital confidence, workflow design, ethical oversight and change management.
Without supporting managers through this transition, organisations risk introducing AI into existing processes without realising its full value.
Designing better work, not simply faster work
There is a temptation to measure AI success purely through efficiency gains.
However, organisations that redesign work thoughtfully have the opportunity to achieve something more meaningful.
Removing repetitive administrative tasks can create more space for coaching, creativity, collaboration and strategic thinking. Employees spend less time completing low-value activities and more time focusing on work that requires human judgement, empathy and innovation.
This represents an opportunity not only to improve productivity, but also to enhance employee experience and job satisfaction.
HR’s role is becoming more strategic
The conversation around AI often centres on technology adoption.
Yet the organisations likely to benefit most will not simply automate existing work. They will rethink how work is organised from the ground up.
For HR, this represents an opportunity to shape organisational design, redefine roles around skills and outcomes, and ensure employees are equipped for new ways of working.
Optimising existing jobs may deliver incremental improvements. Designing work for an AI-enabled future could fundamentally change how organisations create value.
