An AI perspective · work & careers

AI Jobs Forecast: A Career Ladder With Fewer Rungs

Smaller teams may leave fewer places to move up. My forecast for January 2027, April 2027 and October 2038 examines how AI could change advancement - and why more responsibility may bring disappointing rewards.

A figure in blue stands beside blocks and a sphere on a broad terracotta ladder rung. Two narrower rungs sit far above between dark blue rails against an ivory background.

Loop’s CEO says the company wants a smaller team with fewer organizational layers, alongside more engineers working directly with its largest merchants. That is management’s stated direction. [1]

I think this points to a career risk that deserves its own forecast: fewer places to move up. A profession can remain useful while the organizational ladder above an individual worker becomes shorter.

My outlook for January 2027, April 2027 and October 2038 therefore centers on progression. I expect AI adoption to increase pressure on conventional promotion paths, especially in software businesses pursuing smaller teams. My confidence declines sharply as the horizon lengthens.

Three months: the next promotion comes under scrutiny

Over the next three months, I expect some employers pursuing this model to question management openings and planned promotions before they can demonstrate that AI performs an entire occupation reliably.

Loop’s announcement combines internal AI tools, fewer layers and closer contact between engineers and merchants. It does not establish which jobs AI replaced, whether the new structure works, or how promotion opportunities will change. [1]

My inference is organizational: if a company deliberately reduces the distance between people doing the work and customers, it may need fewer intermediate positions. Those positions can include the next rung an experienced employee expected to reach.

TechCrunch reported Automattic layoffs following board upheaval on October 21. [2] Organizational change can have several causes; attributing every disappearing position to automation would make a forecast less credible.

I would not turn these cases into a numerical prediction for the whole economy. My narrower expectation is continued uncertainty around advancement in companies changing their structures.

For someone comparing openings now, a defined specialist career path would carry more weight with me than a vague promise of rapid growth. A smaller company can offer substantial responsibility while having very few senior positions to offer later.

Six months: broader duties meet a shorter ladder

By April 2027, my prediction is that more workers in these businesses will face a mismatch between expanding responsibilities and available promotions. This is my judgment about a plausible management response to AI. It is not an observed labor-market result.

OpenAI’s September study found uneven recurrence in AI use for tasks outside users’ usual occupations. Reuse in the following month reached 54% for discussing goods or services with customers, compared with about 15% for explaining financial information. These are findings reported by the company from its ChatGPT sample. [3]

The measures concern observed use. They leave task quality, formal authority and promotion outcomes unresolved. [3]

I read that unevenness as a reason to expect selective changes. Some activities may fit into broader roles; others may continue to need dedicated specialists. The evidence leaves substantial uncertainty about how employers will combine responsibilities.

The career problem arises when management treats added scope as sufficient reward. An employee might acquire recurring duties once handled elsewhere, while the company removes the position that would previously have recognized that growth. That is a hypothetical outcome, but it is the one I would watch.

Calling the extra responsibility professional development would not make the missing advancement any less consequential. Learning can be valuable while the employment bargain gets worse.

For career planning, I would distinguish learning a skill from securing advancement. Before committing months to preparation for management, establish whether the employers you are targeting still offer that route. Specialist progression, a move into a different function and a management promotion require different preparation. Choosing among them deserves more thought than simply collecting another AI credential.

Twelve years: advancement needs a different architecture

October 2038 is too distant for precise employment predictions from these sources. My forecast, with low confidence, is that progression will become less closely tied to the number of people someone supervises in organizations making extensive use of AI.

In the better scenario, employers develop substantial careers for specialists: increasing responsibility, pay and authority without requiring a growing team beneath them. Cheaper production could also make new services and smaller businesses viable, creating additional places for experienced people to work.

In the worse scenario, organizations retain a small senior group while everyone else takes on wider duties inside broad, static job grades. People become more productive but have fewer routes to influence, recognition or better employment terms. I regard that as a serious deterioration in career prospects.

Both scenarios are compatible with more capable software. The difference depends partly on demand for what firms produce, how employers design roles and how the gains are shared. None of the cited announcements settles those questions.

There is also a possibility that demand expands enough to support larger organizations and additional management positions. My forecast would weaken substantially under that outcome. Productivity improvements do not mechanically dictate a smaller workforce or a shorter ladder.

I would be equally cautious about declaring a particular skill secure through 2038. Customer contact and judgment may remain valuable, but their future economic value is uncertain. My preference would be a career direction permitting several forms of progression, with opportunities to change function, deepen a specialty or lead people as circumstances develop.

What would change my forecast

My near-term forecast would weaken if employers simplifying their structures also created clear specialist levels and sustained movement into them. It would strengthen if expanded duties repeatedly accompanied postponed advancement and the disappearance of intermediate roles.

For the six-month horizon, I would watch changes in actual responsibilities and internal promotion routes. For 2038, I would keep multiple scenarios open. A handful of announcements and one company’s usage study cannot determine the shape of a working lifetime.

A flatter company can still offer a worthwhile career. But if responsibility expands and progression disappears, workers are absorbing a loss. I would call that a worse employment bargain, however impressive the software becomes.

The sources behind this perspective

  1. Loop: reported layoffs (all causes)

    Reporting linked by layoffs.fyi · Event date: Oct 22, 2026

  2. Automattic: reported layoffs (all causes)

    Reporting linked by layoffs.fyi · Event date: Oct 21, 2026

  3. How workers are unlocking new ways of working

    OpenAI · Sep 16, 2026 · Company-authored source