Will AI Pull Up the Career Ladder?

Introduction

AI could eventually make societies far richer. If advanced systems help automate routine work, accelerate science, improve healthcare, and raise productivity across entire industries, the long-run gains could be enormous. But one of the sharpest concerns in the transition period is not simply whether jobs disappear. It is whether the normal routes into skilled careers begin to break down.

Many professions depend on a ladder structure. New workers start with simpler tasks, learn through supervised practice, and gradually take on more responsibility. Generative AI often performs exactly those simpler tasks first: drafting documents, writing basic code, producing reports, handling customer queries, summarising research, or processing administrative work. If firms automate too much of this layer, they may save money today while weakening the pipeline that produces experienced professionals tomorrow. The result could be an economy that becomes more productive overall while leaving many younger workers struggling to gain experience, credentials, and stable career footholds.[OECD]oecd.orgwho will be the workers most affected by ai 14dc6f89 enWho will be the workers most affected by AI?by M Lane · 2024 · Cited by 23 — As AI can automate non-routine, cognitive tasks, tertiar…[OECD]oecd.orgArtificial intelligence and jobs: No signs of slowing labour…Jul 11, 2023 — High-skilled, white‑collar occupations have been most…

This matters directly to the broader question of AI abundance. A future of widespread prosperity depends not only on technological capability but on whether people can still participate meaningfully in economic life, build expertise, and share in the gains.

Which Jobs Are Most Exposed?

Much public discussion about automation still focuses on factory work or low-skill routine labour. Recent AI systems have changed that picture.

Research from the OECD finds that occupations most exposed to current AI advances are often high-skill white-collar roles rather than traditional manual jobs. Business professionals, managers, engineers, scientists, analysts, programmers, administrative staff, and other knowledge workers increasingly perform tasks that large language models can assist with or partially automate.[OECD]oecd.orgthe impact of artificial intelligence on the labour market a4b9cac2The impact of Artificial Intelligence on the labour marketby M Lane · 2021 · Cited by 354 — This literature review takes stock of what is…

The important distinction is that AI often targets tasks rather than whole occupations. A lawyer’s job may survive even if document review becomes heavily automated. An accountant may remain valuable even if routine reconciliation becomes faster. But when enough entry-level tasks disappear, the structure of the profession can still change dramatically.

Several categories appear especially exposed:

• Junior software development and testing.[tomshardware.com]tomshardware.comOver the past three years, job listings in these AI-susceptible fields have dropped by 13%, especially affecting workers aged 22-25. Cond…
• Basic legal research and document drafting. * Entry-level accounting and auditing work.[tomshardware.com]tomshardware.comOver the past three years, job listings in these AI-susceptible fields have dropped by 13%, especially affecting workers aged 22-25. Cond… * Administrative and clerical roles.[tomshardware.com]tomshardware.comOver the past three years, job listings in these AI-susceptible fields have dropped by 13%, especially affecting workers aged 22-25. Cond…
• Customer support and call-centre work.
• Content production, translation, and routine marketing tasks.
• Research assistance and information synthesis roles. Anthropic[investopedia]investopedia.comAnthropic Identifies the Jobs Most Exposed to AI Risks—Is…10 Mar 2026 — Computer programmers, customer service representatives and dat… The Anthropic Economic Index, which studies real-world AI usage patterns, finds particularly heavy adoption in software development, writing, analysis, and information-processing tasks. These are precisely the kinds of activities that often serve as training grounds for younger workers.[Anthropic]anthropic.comLabor market impacts of AI: A new measure and early…by T Claude — A job's exposure is higher if: Its tasks are theoretically…[Anthropic]anthropic.comeconomic indexAnthropic Economic Index Understanding AI's effects…24 Mar 2026 — The Anthropic Economic Index reveals the shape of AI adoption across…

This does not necessarily mean entire professions disappear. It does mean the first rung of the ladder may become narrower.

Why Entry-Level Roles May Change First

The reason entry-level work is vulnerable is not mysterious. Junior workers are often hired to perform tasks that are structured, repetitive, heavily supervised, and relatively low-risk. Those same characteristics make them attractive targets for automation.

In many firms, graduates spend their first years:

These are exactly the areas where modern AI systems have shown rapid capability gains.[Anthropic]anthropic.comeconomic index march 2026 reportAnthropic Economic Index report: Learning curves24 Mar 2026 — The Anthropic Economic Index uses our privacy-preserving data analysis syst…Published: march 2026

Historically, organisations accepted the cost of training because today’s junior worker became tomorrow’s senior professional. The concern is that AI changes this calculation. If one experienced worker equipped with powerful AI tools can perform work that previously required several junior employees, firms may reduce graduate hiring without immediately damaging output.

Emerging evidence suggests this may already be occurring in some sectors. Research drawing on payroll, employment, and vacancy data has found declines in hiring for younger workers in AI-exposed occupations, driven more by reduced recruitment than by mass layoffs. Some studies estimate employment reductions of between 6% and 16% among workers aged roughly 22 to 25 in highly exposed occupations. Yahoo Finance[Tom's Hardware]tomshardware.comOver the past three years, job listings in these AI-susceptible fields have dropped by 13%, especially affecting workers aged 22-25. Cond…

Other evidence remains more cautious. Some researchers argue that remote work, post-pandemic hiring corrections, and broader economic conditions explain part of the decline in junior hiring. The labour-market effects of AI remain difficult to isolate cleanly.[Business Insider]businessinsider.comResearchers Peter John Lambert and Yannick Schindler analyzed extensive résumé and job posting data across the US, UK, Canada, and Austra…

The uncertainty is important. The evidence does not yet show a civilisation-wide collapse of entry-level employment. It does show enough warning signs that policymakers and employers are increasingly discussing the issue.

The Hidden Problem: Expertise Comes From Practice

The deeper concern is not merely unemployment. It is expertise formation.

Many professions rely on apprenticeship-like learning structures. Junior lawyers learn by reviewing contracts. Junior doctors learn through supervised clinical work. Junior journalists learn by reporting smaller stories. Junior programmers learn by fixing bugs, writing simple features, and reviewing existing code.

The early work is often repetitive, but it serves an educational purpose.

If AI performs much of this foundational work, future professionals may accumulate less practical experience before reaching positions that require judgment. A firm may become more productive in the short term while creating a shortage of experienced talent later.

This creates a potential paradox. AI may increase the productivity of senior workers while reducing opportunities for people to become senior workers in the first place.

Economists sometimes describe this as a pipeline problem. The labour market does not simply allocate workers; it develops them. Career ladders are part of society’s knowledge-production system.

The issue is especially significant in sectors that depend on tacit knowledge: skills that are difficult to learn from textbooks alone and instead emerge through repeated exposure to real-world cases, mistakes, and mentorship.

Why Labour Disruption Can Feel Unfair Even If Society Gets Richer

One reason AI labour disruption generates political tension is that aggregate prosperity and individual opportunity are not the same thing.

Imagine a future where AI raises national productivity dramatically. Goods become cheaper. Medical treatments improve. Scientific progress accelerates. Average living standards rise.

Yet a graduate entering the workforce may still face a much harder path than earlier generations.

This creates a distributional problem that standard economic statistics may miss.

A society can become wealthier while simultaneously producing:

The result may feel unfair even if total output rises.

This concern echoes broader debates in economic history. Industrialisation increased overall wealth enormously, but the benefits did not automatically arrive in a smooth or equal way. Institutions, labour protections, education systems, and social insurance played major roles in spreading gains across society.

The AI transition may require similar institutional adaptation.

Could AI Also Create New Career Ladders?

The pessimistic scenario is not the only possibility.

Historically, technological change has often destroyed some jobs while creating entirely new professions. Few people in 1990 could have predicted social-media managers, cloud architects, app developers, prompt engineers, machine-learning operations specialists, or AI safety researchers.

Some evidence already suggests new categories of work emerging around AI deployment, integration, oversight, evaluation, and workflow design. Companies increasingly seek employees who can redesign business processes around AI systems rather than merely perform individual tasks.[Business Insider]businessinsider.comResearchers Peter John Lambert and Yannick Schindler analyzed extensive résumé and job posting data across the US, UK, Canada, and Austra…

The key question is whether these new ladders are wide enough.

A healthy labour market does not just create elite opportunities for a small technical class. It creates large numbers of accessible pathways through which ordinary people can build skills and advance.

The optimistic view is that AI becomes a tool that accelerates learning. Junior workers may accomplish more quickly, receive better feedback, and gain access to expertise that was previously unavailable.

Some experimental studies suggest AI can particularly boost the performance of less experienced workers on certain tasks, potentially narrowing skill gaps.[arXiv]arxiv.orgarXiv AI and jobs. A review of theory, estimates, and evidencearXiv AI and jobs. A review of theory, estimates, and evidence

The risk is that firms use AI primarily to reduce headcount rather than expand capability. The same technology can support either outcome depending on incentives and policy.

What Happens If Career Ladders Break?

If entry routes shrink substantially across multiple professions, the effects could extend beyond individual workers.

Slower social mobility

Career ladders are one of the main mechanisms through which people improve their economic position.

When entry-level opportunities contract, advancement may depend more heavily on family wealth, personal networks, prestigious credentials, or existing social advantages.

The result could be lower social mobility even in a technologically advanced economy.

Concentration of expertise

Large organisations may increasingly rely on smaller numbers of highly productive senior workers supported by AI systems.

This could raise the value of elite expertise while reducing opportunities for newcomers to acquire it.

Political backlash against AI

Public support for technological progress often depends on whether people believe they have a place within the new economy.

If large numbers of younger workers perceive AI as removing opportunities rather than expanding them, political resistance to AI deployment could intensify even if aggregate economic indicators remain positive.

Weakening long-term capability

Civilisations need mechanisms for producing future experts.

Engineers, scientists, doctors, managers, and researchers are not created instantly. If training pipelines weaken for long enough, societies may discover years later that they have underinvested in human expertise.

This is one reason the issue matters even within an optimistic AI bloom framework. A flourishing future requires both powerful machines and a continual supply of capable humans.

Policies for Fair Labour Transitions

The policy challenge is not simply preventing automation. It is ensuring that productivity gains do not sever pathways into meaningful work.

Several approaches are receiving growing attention.

Incentivising training rather than replacement

Governments have long subsidised apprenticeships, vocational training, and graduate development programmes.

Similar policies could encourage firms to use AI as a teaching tool rather than a substitute for junior hiring.

Tax incentives, training grants, or public procurement requirements could reward organisations that maintain strong early-career pipelines while adopting AI.

Expanding access to AI-enhanced education

If AI becomes a powerful tutor, mentor, and learning assistant, it could help workers acquire skills faster and more cheaply.

The distributional question is whether these tools remain expensive premium services or become widely accessible educational infrastructure.

This links directly to broader debates about public-interest AI and universal access to advanced systems.

Supporting mid-career adaptation

Labour disruption will not affect only new graduates.

Workers whose roles become partially automated may need retraining, career counselling, wage insurance, or transition support.

The goal is not to freeze existing jobs but to reduce the human cost of economic adjustment.

Measuring career pathways, not only employment

Many labour statistics focus on unemployment rates.

That may miss an important signal.

If AI mainly reduces hiring rather than causing mass layoffs, unemployment figures can remain relatively stable while career ladders quietly weaken. Researchers increasingly argue that hiring patterns, promotion pathways, and early-career opportunities deserve closer attention.[Yahoo Finance]finance.yahoo.comanthropic ai influence over labor 110500564Yahoo FinanceAnthropic: AI's influence over the labor market is only…13 Mar 2026 — Citing a 2025 study from Brynjolfsson et al., Anthr… 2arXiv

Broadening ownership of AI gains

If AI dramatically increases productivity, some of the resulting wealth may need to flow back into education, training, public services, and transition support.

The question is not only how much wealth AI creates, but who has the resources to adapt when labour markets change.

The Larger Question for an AI-Abundant Future

The debate over AI labour disruption is sometimes framed as a simple contest between jobs and automation. That framing misses the deeper issue.

The central question is whether advanced AI helps expand human opportunity or narrows it.

A future of AI abundance could mean shorter working hours, safer jobs, better education, higher living standards, and greater freedom to pursue creative, scientific, and social goals. But reaching that future depends on maintaining pathways through which people develop skills, contribute meaningfully, and share in the gains.

If AI removes drudgery while helping more people become capable, educated, and productive, it could strengthen the foundations of human flourishing. If it concentrates opportunity among a small group while eroding routes into skilled work, the transition may become economically and politically unstable.

The state of the career ladder may therefore become one of the most important tests of whether AI-driven prosperity is genuinely broad-based. The question is not merely how many jobs survive, but whether the next generation still has a way to climb.

Amazon book picks

Further Reading

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Power and Progress

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The Future of the Professions

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Endnotes

1. Source: oecd.org
Title: who will be the workers most affected by ai 14dc6f89 en
Link:https://www.oecd.org/en/publications/who-will-be-the-workers-most-affected-by-ai_14dc6f89-en.html

2. Source: oecd.org
Link:https://www.oecd.org/en/publications/oecd-employment-outlook-2023_08785bba-en/full-report/artificial-[intelligence

3. Source: oecd.org
Title: the impact of artificial intelligence on the labour market a4b9cac2
Link:https://www.oecd.org/en/publications/2021/01/the-impact-of-artificial-intelligence-on-the-labour-market_a4b9cac2.html

4. Source: anthropic.com
Link:https://www.anthropic.com/research/labor-market-impacts

5. Source: investopedia.com
Link:https://www.investopedia.com/anthropic-identifies-jobs-most-exposed-to-ai-risks-is-your-occupation-affected-11922109

6. Source: anthropic.com
Title: economic index
Link:https://www.anthropic.com/economic-index

7. Source: anthropic.com
Title: economic index march 2026 report
Link:https://www.anthropic.com/research/economic-index-march-2026-report

Published: march 2026

8. Source: finance.yahoo.com
Title: anthropic ai influence over labor 110500564
Link:https://finance.yahoo.com/news/anthropic-ai-influence-over-labor-110500564.html

9. Source: arxiv.org
Title: arXiv AI and jobs. A review of theory, estimates, and evidence
Link:https://arxiv.org/abs/2509.15265

10. Source: arxiv.org
Link:https://arxiv.org/abs/2605.00843

11. Source: arxiv.org
Link:https://arxiv.org/abs/2601.06087

12. Source: arxiv.org
Link:https://arxiv.org/abs/2507.22748

13. Source: oecd.org
Link:https://www.oecd.org/en/topics/policy-issues/future-of-work.html

14. Source: oecd.org
Link:https://www.oecd.org/en.html

15. Source: oecd.org
Title: 194a947b en
Link:https://www.oecd.org/content/dam/oecd/en/publications/reports/2025/07/oecd-employment-outlook-2025_5345f034/194a947b-en.pdf

16. Source: oecd.org
Title: the impact of ai on the labour market 69793977
Link:https://www.oecd.org/en/publications/artificial-intelligence-and-the-labour-market-in-korea_68ab1a5a-en/full-report/the-impact-of-ai-on-the-labour-market_69793977.html

17. Source: oecd.org
Link:https://www.oecd.org/en/topics/sub-issues/ai-and-work.html

18. Source: anthropic.com
Title: economic index primitives
Link:https://www.anthropic.com/research/economic-index-primitives

19. Source: oecd.ai
Link:https://oecd.ai/en/incidents/2025

20. Source: oecd.ai
Link:https://oecd.ai/en/incidents/2025-07-29-10f4

21. Source: oecd.ai
Link:https://oecd.ai/en/incidents/2026

22. Source: finance.yahoo.com
Link:https://finance.yahoo.com/news/anthropic-just-mapped-jobs-ai-163800195.html

23. Source: creators.yahoo.com
Link:https://creators.yahoo.com/lifestyle/story/these-jobs-are-the-most-affected-by-ai-according-to-new-anthropic-report-135528912.html

24. Source: tomshardware.com
Link:https://www.tomshardware.com/tech-industry/artificial-intelligence/ai-is-eating-entry-level-coding-and-customer-service-roles-according-to-a-new-stanford-study-junior-job-listings-drop-13-percent-in-three-years-in-fields-vulnerable-to-ai

25. Source: businessinsider.com
Link:https://www.businessinsider.com/wfh-bigger-driver-entry-level-job-woes-ai-researchers-say

26. Source: businessinsider.com
Link:https://www.businessinsider.com/stanford-lecturer-hot-ai-job-grad-workflows-entry-level

27. Source: Wikipedia
Link:https://en.wikipedia.org/wiki/Anthropic

28. Source: linkedin.com
Link:https://www.linkedin.com/posts/jawadabdulsamad_anthropics-ceo-said-that-50-of-entry-level-activity-7451551398325972992-s949

29. Source: medium.com
Title: anthropic looked at whether ai is killing jobs 759fbc0563f1
Link:https://medium.com/illumination/anthropic-looked-at-whether-ai-is-killing-jobs-759fbc0563f1

30. Source: ivopbernardo.medium.com
Title: anthropics view on ai impact in the job market cc14915e1268
Link:https://ivopbernardo.medium.com/anthropics-view-on-ai-impact-in-the-job-market-cc14915e1268

31. Source: hdsr.mitpress.mit.edu
Link:https://hdsr.mitpress.mit.edu/pub/ppjz2dg9

32. Source: edtechinnovationhub.com
Link:https://www.edtechinnovationhub.com/news/anthropic-data-shows-ai-boosts-complex-work-fastest-with-uneven-impact-across-jobs-and-countries

33. Source: m.economictimes.com
Link:https://m.economictimes.com/nri/work/is-your-job-on-the-ai-firing-line-anthropic-lists-roles-most-under-threat/articleshow/129192049.cms

34. Source: businessinsider.com
Title: anthropic is tracking the jobs most exposed to ai disruption 2026 3
Link:https://www.businessinsider.com/anthropic-is-tracking-the-jobs-most-exposed-to-ai-disruption

35. Source: zenvanriel.com
Title: anthropic economic index ai workforce impact data
Link:https://zenvanriel.com/ai-engineer-blog/anthropic-economic-index-ai-workforce-impact-data/

36. Source: pooya.blog
Title: Will AI Take Your Job?
Link:https://pooya.blog/blog/anthropic-ai-labor-market-impacts/

37. Source: cbsnews.com
Title: Anthropic is tracking which jobs are most exposed to AI
Link:https://www.cbsnews.com/news/anthropic-ai-jobs-most-exposed-risk/

Additional References

38. Source: researchgate.net
Link:https://www.researchgate.net/publication/360515390_AI_automation_and_the_Future_of_WorkThe_EU_digital_strategy_job_polarisation_and_skill-_biased_technological_change

Published: May 2022

39. Source: linkedin.com
Link:https://www.linkedin.com/posts/noamsp_ai-could-eliminate-about-50-of-entry-level-activity-7452340854129815552-1n0H

40. Source: linkedin.com
Link:https://www.linkedin.com/posts/jonkrohn_superdatascience-ai-automation-activity-7387517960908632064-_rVc

41. Source: facebook.com
Link:https://www.facebook.com/theOECD/posts/which-workers-will-be-most-affected-by-ai-our-report-takes-a-closer-look-at-the-/1200799698759136/

42. Source: linkedin.com
Link:https://www.linkedin.com/posts/organisation-eco-cooperation-development-organisation-cooperation-developpement-eco_oecd-employment-outlook-2025-activity-7348706600485892096-YgpD

Published: May 2025

43. Source: facebook.com
Title: ai is rapidly reshaping the job market and the first roles disappearing are entr
Link:https://www.facebook.com/deutschewellenews/posts/ai-is-rapidly-reshaping-the-job-market-and-the-first-roles-disappearing-are-entr/1381962990625678/

44. Source: youtube.com
Link:https://www.youtube.com/watch?v=iMmo_cZFovE

45. Source: digital-skills-jobs.europa.eu
Title: oecd employment outlook 2025 can we get through demographic crunch
Link:https://digital-skills-jobs.europa.eu/en/latest/news/oecd-employment-outlook-2025-can-we-get-through-demographic-crunch

46. Source: linkedin.com
Link:https://www.linkedin.com/posts/conorgrennan_two-hours-ago-anthropic-released-an-ai-exposure-activity-7435468941248049152-d7eT

47. Source: digitalplanet.tufts.edu
Title: ai and the emerging geography of american job risk page
Link:https://digitalplanet.tufts.edu/ai-and-the-emerging-geography-of-american-job-risk-page/

Published: May 2025