27 Jul Why HR Systems Are Failing to Keep Up With Role Transformation in the Age of AI
Key Takeaways
- Employers expect 39% of core skills required in the job market to change by 2030 (World Economic Forum, Future of Jobs Report, 2025).
- HR systems today track competencies, reviews, and recruitment, but not the transformation of a role itself as an initiative unfolding over time.
- Automation of the telephone operator role cut US employment in that occupation from 342,000 people in 1950 to 1,460 today, per Bureau of Labor Statistics data (Federal Reserve Bank of Richmond, 2019) – role transformation driven by technology is not a new phenomenon.
- This is the first in a series of three articles on a new approach to managing role transformation in MintHCM.
Companies are transforming roles under the influence of AI faster than they can document it. A developer becomes an AI-assisted software engineer, a consultant starts working as a low-code developer, a customer support team goes through reorganization – and the HR system still shows only who formally holds which position, with no trace of the change itself.
Why Do Roles Change Faster Than HR Documentation?
A role’s description in the HR system and a person’s actual work are today often two different pictures of the same job. An employee employed as an analyst may in practice have spent months writing prompts and supervising the work of an AI agent, while their record in the system still reflects duties from two years ago.
This gap keeps widening because AI tools change how work gets done faster than most organizations’ role review cycles. HR that doesn’t update role descriptions in step with changing actual tasks loses the ability to manage the team’s competencies deliberately – it doesn’t know who needs training and who is already performing at the level of the new role.
What’s the Difference Between Deliberate Transformation and Market-Forced Transformation?
Organizations go through role transformation via two different paths, each requiring a different HR approach. The first is deliberate reorganization on the company’s own initiative – leadership decides it wants to make better use of new AI tools and transforms roles before market or competitive pressure forces its hand, keeping control over the pace and sequence of changes.
The second path is a reaction to external pressure: a company first cuts staff in response to a slowdown or shift in demand, only to later discover it needs different competencies than the ones it just lost. This pattern is already visible in practice – some organizations that shrank their customer support teams are now hiring again, but looking for people with stronger interpersonal skills, capable of handling cases too complex for automation.
What Did a Similar Transformation Look Like in the Past?
Role transformation driven by technology already has a history, and one of the most telling illustrations is the telephone operator profession. In 1950, around 342,000 telephone operators were employed directly by telecommunications companies in the US, and including operators working in offices, hotels, and businesses – about 1.3 million people (Federal Reserve Bank of Richmond, Econ Focus, 2019).
Automatic telephone switching had existed since the 1890s, but its full rollout in large cities took telecommunications companies decades – the first fully automated Bell System exchange wasn’t launched until 1921. By 1984, the number of operators in the industry had fallen to 40,000, and today it stands at 1,460, per Bureau of Labor Statistics data (Federal Reserve Bank of Richmond, 2019). The profession didn’t disappear overnight – it changed gradually, and companies that managed that transition deliberately had an advantage over those that merely reacted to it.
What Don’t Today’s HR Systems Show Managers?
A typical HR system doesn’t show a manager what stage a given transformation initiative is at, or how many roles and people it involves. What’s missing is a place to gather the context of the whole change – timeline, related roles, a plan for getting from the current state to the target state – in one view, tracked over time.
This question is left open at the end of this article on purpose. The answer – what that missing piece of the HR system could look like – is the subject of the next article in this series.
What Does a Typical HR System Track Today, and What Doesn’t It?
| What a typical HR system tracks today | What it doesn’t track |
|---|---|
| An employee’s current role and department | Progress of a role’s transformation over time |
| Competencies assigned to a role | The gap between a role’s description and actual tasks |
| Individual recruitments and applications | The target number of vacancies resulting from a change plan |
| An employee’s periodic reviews | The context of an entire initiative spanning multiple roles at once |
Frequently Asked Questions
What is AI-driven role transformation?
It’s a process in which the scope of duties in a given role changes as a result of deploying AI tools – some tasks become automated, and the employee is expected to develop new competencies, such as supervising AI’s work or evaluating the quality of its output.
Does the AI Act affect how role changes must be documented?
The AI Act classifies some systems used in recruitment and employee evaluation as high-risk AI systems, imposing additional documentation and human-oversight obligations. The compliance deadline for these obligations has been pushed to 2 December 2027 – details are covered in the AI Act Deadline Extension Confirmed article on minthcm.org.
How long does a typical team transformation take?
There’s no universal timeframe – it depends on the team’s scale and the depth of the change. The historical analogy of telephone operators shows that even a technologically simple, well-understood change can stretch across decades if a company doesn’t manage it deliberately.
Does every company need to formally plan role transformation?
There’s no legal requirement to plan formally, but without a plan, it’s harder to manage the team’s competencies deliberately, and it raises the risk that a company will cut staff in one area only to urgently need to hire in another shortly after.
How does role transformation differ from ordinary recruitment?
Recruitment addresses a single vacancy and a single process. Role transformation usually involves multiple related changes at once – some people move into new roles, some need upskilling, and some roles may be eliminated or merged into new ones.
Does role transformation only affect large companies?
No – the phenomenon affects organizations of every size, though in smaller companies the change is often easier to manage informally. As team scale grows, the need for a systematic approach grows with it.
Sources
Future of Jobs Report 2025. World Economic Forum, 2025.
Goodbye, Operator. David A. Price, Econ Focus, Federal Reserve Bank of Richmond, 2019.