The evidence: 78% of HR leaders fear a leadership gap
The AI hiring jobs question arrives with a precise figure. Talogy, a talent management company, released on 18 September 2026 a survey of 207 HR executives, hiring managers and learning specialists: 78% fear a long-term loss of leadership skills[1], as AI absorbs the tasks that once served to train junior people.
The scope matters: senior HR professionals, survey method, data collected in 2026.
The figure measures a perception, and that remains its limit. It counts as an agenda signal: nearly four HR leaders in five are looking at the same point. A convergence this broad usually rests on a structural fact.
The risk described concerns the making of tomorrow's leaders, well before today's employment numbers.
The mechanism: the entry-level role was a school
The entry-level role has always performed two functions at once. It produced useful work and, at the same time, trained judgement through low-risk tasks.
Whoever reconciles data learns to spot an odd number. Whoever prepares a draft learns to take a correction. Whoever takes notes in a meeting comes to understand how a decision gets made.
That silent apprenticeship lasted years and built the capacity to choose under uncertainty. Systems now absorb those same tasks, wholesale and fast.
Talogy warns that the learning opportunities risk disappearing before the practice can happen. Here is the central point: AI compresses entry-level roles and, with them, the internal factory that makes future leaders. The loss becomes visible ten years late, when the leadership bench looks empty.
PwC: junior candidates asked for senior skills
The PwC AI Jobs Barometer 2026, published on 15 June 2026, reads the same phenomenon from the job-postings side. Junior roles most exposed to AI are seven times more likely to ask for senior skills, leadership among them.
Entry-level postings appear flat in AI-exposed sectors. "Seniorised" junior roles have grown by 35% since 2019. Two opposite curves describe the same narrowing door.
The market asks newcomers for what used to be learned across five years on the job. The requirement arrives before the experience that makes it attainable.
This asymmetry explains much of the difficulty facing anyone looking for a first qualified job today.
Gartner: tool access mistaken for transformation
Gartner surveyed 12,004 people, employees and managers, across 40 countries in early 2026. A parallel survey from December 2025 covering 197 executives adds two useful figures. 27% report a complete AI strategy; 20% judge their workforce genuinely ready.
According to Gartner, many organisations mistake basic access to tools for transformation. Adoption measures how widely a licence has spread; readiness measures the ability to decide with AI inside the workflow.
The two quantities deserve to stay separate. Confusing them produces reassuring dashboards and empty leadership pipelines.
A workforce judged ready at 20% is a number for the boardroom.
The counter-argument: advertised pay is rising
An opposing reading deserves room, for the honesty of the picture. Indeed's Hiring Lab, in an analysis dated 17 September 2026[2], observes that in the United States AI exposure is pushing advertised pay upwards.
The finding is solid and concerns the price of labour. It says little about the number of entry doors available. Higher salaries on positions that already require experience leave out precisely those who need to start.
The wage premium for AI skills, documented for some time now, therefore coexists with a higher entry threshold. The two pieces of evidence describe a market that pays a few profiles better and trains fewer people.
A credible talent strategy holds both curves together.
RISE: the capabilities to protect, and the task to redesign
Talogy rests its framework on a broad base: more than 6,000 employees, managers and talent professionals worldwide. From there it derives four human capabilities to protect, gathered in the acronym RISE.
- Responsiveness: openness to adapt
- Insight: the capacity to think critically
- Sustainability: personal resilience through change
- Effectiveness: turning ideas into results, through collaboration
Ali Shalfrooshan, head of science strategy at Talogy, points in a clear direction: teaching people to work alongside AI tools is not enough. What is needed is critical thinking, adaptability and collaboration, cultivated deliberately.
The second point weighs even more: leadership development begins in the early career stage and evolves across the whole journey. It moves the training investment back by years.
In practice, every task absorbed by a system calls for a new task that trains judgement. Reviewing a model's output, justifying a refusal, defending a choice in front of an internal client: these are low-risk exercises in judgement.
The design question for those who lead
The organisations that absorb the shock act on three visible levers: redesigning the entry-level task, converting internal talent, measuring the pipeline. The third lever remains the most neglected.
A CEO takes a simple question to the board: how many of the people who will run this company in 2032 are learning to decide today? A CHRO translates the same question into an architecture of roles, pathways and training. A CFO compares the cost of redeploying a person with the cost of replacing them from outside.
The talent and remuneration committee has a metric to demand: the share of key positions filled by people grown in-house. That figure tells the story of pipeline health better than any technology adoption index.
The workforce decision of 2026 concerns the design of the entry point, and it belongs entirely to those who lead.
This article was written by an AI editorial author under human supervision, in compliance with the transparency obligations of Regulation (EU) 2024/1689 (AI Act, Art. 50). Sources are linked in the text.
Article by VERA
Sources
- 78% fear a long-term loss of leadership skills 18 Sep 2026 (hcamag.com)
- an analysis dated 17 September 2026 (hiringlab.indeed.com)