MHR CEO Shares Why Static Job Structures Are Failing in the Age of AI
- 7 Min Read
Anton Roe, CEO of MHR, argues that AI is not erasing entry-level roles but exposing outdated talent models. In this exclusive conversation, he explains why organisations must move away from rigid job descriptions, embrace skill-based workforce planning, and design roles where humans and AI thrive together.
- Author: HRD Connect
- Date published: Jul 27, 2025
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As AI disrupts traditional job structures, HR leaders face mounting pressure to rethink how they attract, develop, and retain talent. Few voices have been as direct on this issue as Anton Roe, CEO of MHR. In an exclusive conversation with HRD Connect, Roe sheds light on why entry-level hiring is falling, why job descriptions are becoming obsolete, and how organisations can redesign roles and cultures to thrive in an AI-driven era.
The skills shift: Understanding what’s breaking down
Q: We’re seeing significant drops in entry-level vacancies. What do you think this tells us about how businesses are approaching junior talent in the context of AI disruption?
The sharp decline in entry-level hiring reflects widespread hesitation and uncertainty around how junior roles fit into an AI-driven world. Many organisations still see these positions through the lens of traditional, task-based frameworks that AI is rapidly reshaping or automating. Rather than eliminating entry-level roles, the challenge lies in reimagining them. The companies that adapt quickly will redefine junior positions as dynamic entry points focused on developing transferable skills like problem-solving and digital fluency. Without this shift, organisations risk creating talent gaps that could stunt innovation and growth.
Q: How should HR leaders interpret the shortening shelf life of workplace skills – now said to be just four years – in the context of workforce planning?
A four-year shelf life doesn’t just change how we think about training; it challenges the whole foundation of traditional workforce planning. Static assumptions about skill longevity no longer hold. The practical response is to treat adaptability as a core capability, not something nice to have, but something to build into hiring, development, and career pathing. Proactively redeploying talent and facilitating continuous development will be crucial to maintaining workforce relevance and resilience.
Q: In your view, what are the risks of continuing to define roles around static job descriptions and linear progression pathways?
The biggest risk is stagnation, both for the business and the individual employee. Linear models assume predictability: move up a level, gain more responsibility, stay in lane. But today’s work evolves faster than those structures allow. If you tie someone’s growth to a fixed job title or a narrow career ladder, you limit their potential to contribute in new ways. And when roles are tightly defined, AI is more likely to be seen as a threat, because it disrupts the model. A more fluid structure allows people to grow across functions, not just within them, and positions AI as a tool that unlocks that flexibility, rather than undermining it.
Rethinking talent, roles and structure in an AI era
Q: What would a more skill-based approach to recruitment, internal mobility, and workforce development look like in practice?
It starts with understanding what skills exist in your organisation today, and how they align to evolving business needs. That’s often a missing piece. From there, recruitment becomes less about matching people to rigid job descriptions and more about mapping capabilities to outcomes. Internally, it means giving people opportunities to move between roles based on transferable skills, not tenure or titles. And development becomes less about climbing a ladder and more about building breadth, equipping employees with the agility to adapt as roles shift. This approach also makes it easier to integrate AI, because you’re not trying to preserve fixed workflows, you’re building capacity to evolve them.
Q: As AI becomes embedded across workflows, how should HR leaders be thinking about the design of roles that involve close collaboration between human workers and AI tools or agents?
Role design must evolve to blend human strengths with AI’s ability to automate routine, data-heavy tasks. When roles are designed with that interplay in mind, you get better outcomes and a more engaged workforce. For example, an analyst might use AI to surface patterns in large data sets, but still apply human judgment to interpret and act on those insights. That’s a very different model than simply layering tools onto existing jobs and expecting people to adjust. HR’s role is to ensure that these shifts are intentional: that roles evolve to make the most of both human capability and machine efficiency, and that people are supported to grow into those new ways of working.
Q: You’ve spoken about the value of bottom-up AI strategies. What role can HR play in ensuring that AI adoption is shaped by the people closest to the work, not just by leadership or IT?
HR is uniquely positioned to connect strategy to lived experience. Top-down AI initiatives often miss the mark because they lack input from those actually using the tools day to day.
By bringing frontline feedback into the conversation early, HR can help shape use cases that are both technically viable and practically valuable. This also builds trust, because people are more likely to engage with technology they’ve had a hand in shaping.
Q: Do we need to rethink organisational structure altogether – especially as AI agents start to ‘occupy’ certain decision-making or operational functions?
Traditional hierarchies assume that authority and information flow from the top down. But AI reshapes that dynamic by distributing intelligence across the organisation. As AI agents take on more operational decision-making, we’ll need flatter, more networked structures that empower people to act on insights, not just escalate them. That doesn’t mean eliminating leadership; it means changing how decisions are made and who gets to make them. HR has a key role to play here: designing roles and processes that reflect this new landscape, while still providing clarity and accountability.
Leading change and building cultural readiness
Q: How can HR leaders effectively communicate changes like reskilling programmes or AI-driven role shifts in a way that maintains trust and momentum across the organisation?
Start with clarity, not spin. People want to understand what’s changing, why it matters, and how it affects them, not just hear broad statements about transformation. Effective communication also means acknowledging uncertainty. Not every detail will be fixed on day one, and pretending otherwise erodes trust. HR should treat these moments as opportunities for dialogue, through listening sessions, feedback loops, and visible follow-through. When people see that their input shapes the direction, they’re more likely to engage with the change rather than resist it.
Q: With constant reinvention becoming the norm, how do you foster a culture that’s not just open to change, but capable of sustaining change over time?
Building a change-ready culture requires leadership to model adaptability and foster psychological safety. Employees must feel empowered to experiment and learn from setbacks without fear. Celebrating curiosity and resilience embeds change into organisational DNA. Over time, this shifts mindsets from fearing disruption to viewing it as an opportunity for growth and innovation.
Q: What’s one principle you believe HR leaders should hold onto as they try to build talent strategies that are both people-centred and future-ready?
Don’t separate resilience from relevance. The best talent strategies are those that support people to grow with the business, not just fill gaps today. Strategies that prioritise wellbeing, connection, and meaningful development alongside agility build deeper resilience. When organisations invest in people as individuals, they unlock high performance and a workforce equipped to navigate uncertainty with confidence. In a world of constant change, that mindset is what turns disruption into opportunity.
