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Is AI Killing Starter Jobs?

Will entry-level knowledge worker job postings drop 50% from 2023 levels by end of 2026?

If you're a new grad, hiring manager, or parent of a college student — this changes your playbook.

Target: Dec 2026(299 days until resolution)
Assessed Probability
75%
Likely
Based on 7 expert predictions, 4 evidence items
Community Forecast
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Your Prediction

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5%95%
50% — More likely than not
The evidence is now overwhelming. Junior developer hiring is down 73%. New grads went from 32% to 7% of Big Tech hires. Big 4 accounting firms cut graduate intakes 18-29%. And it's not just tech — 66% of enterprises across all sectors are reducing entry-level hiring, citing AI tools as the reason. The power-law productivity effect makes this worse: top engineers with AI are 10x more productive, meaning companies need fewer people at every level, but especially at the bottom where AI handles the tasks juniors used to learn on. Cursor builds a $2B business with 12 people. Harvey disrupts BigLaw starting with 2 founders. The message is clear: the entry ramp to knowledge work is being demolished. The only counterforce is that companies still need humans to train — but increasingly, they're choosing to train fewer people, better.

Scenarios

Current value: -35% overall, -73% junior dev, -67% tech internships, -18-29% Big 4 grad hiring (early 2026 vs 2023)

S-curve position: Mid-to-late curve — the structural shift is well underway, approaching the steepest part of decline

Bear Case

-30% (companies reverse course when senior talent pipeline dries up)

Base Case

-55% (continued erosion across tech, finance, consulting, legal — crossing the 50% threshold)

Bull Case

-75% (AI tools make junior roles obsolete faster than anyone expected)

How We'll Know

What we measure
Year-over-year change in entry-level/junior job postings across knowledge work sectors (tech, finance, consulting, legal)
Confirmed if
Entry-level postings across 3+ tracked sectors show >50% decline from 2023 baseline by Q4 2026
Refuted if
Entry-level postings remain within 25% of 2023 baseline, or rebound significantly
Data sources
  • Indeed Hiring Lab
  • LinkedIn Economic Graph
  • Handshake campus recruiting data
  • Challenger Gray & Christmas

Evidence Trail

Evidence For

  • Mar 7, 2026

    Junior developer hiring dropped 73% in past year. New grads went from 32% to 7% of Big Tech hires. Big 4 accounting grad hiring down 18-29%. Stanford: employment for developers aged 22-25 down ~20% from 2022 peak.→ Probability: 55%

  • Mar 7, 2026

    66% of enterprises reducing entry-level hiring citing AI. 54,694 AI-attributed layoffs in 2025. Block cut 40% workforce. Dev freelance rates down 36% ($75→$48/hr). FRED: software dev job postings at 69.88 index (30-35% below pre-pandemic, 5-year low, 3.5x drop from 2022 peak). Jobs requiring <3yr experience dropped from 43% to 28% (Burning Glass). 38% of employers explicitly reduced entry-level roles because of AI. Cursor $2B ARR with 12 employees. YC W25: 25% of startups built with 95% AI code, median team 3-5 people (down from 11-14). Power-law: top engineers 10x productive with AI.→ Probability: 70%

  • Mar 9, 2026

    Fed Dallas: workers aged 22-25 in AI-exposed occupations experienced 13% employment decline since 2022. Software developers aged 22-25: ~20% employment decline from late-2022 peak. IBM laid off thousands of experienced workers while tripling junior hires, rewriting all JDs because 'entry-level jobs from two-three years ago? AI can do most of them.' 155 tech companies laid off 52,955 workers through early March 2026. Block (~4K citing AI), Amazon (~16K corporate), Oracle (citing 'less need due to AI'), Pinterest (15%, 'AI-forward strategy'). Avature 2026: 76% of respondents expect AI will significantly reduce early-career hiring.→ Probability: 75%

Evidence Against

  • Mar 7, 2026

    Some decline is cyclical post-pandemic normalization, not AI-driven. Overall developer demand up 11% YoY at senior levels. Companies historically need junior hires for training pipeline. The 50% threshold across 3+ sectors is harder than the tech-only headline suggests.

How Our View Evolved

  • Mar 9, 202670%75%

    Added Fed Dallas macro employment data (13% decline ages 22-25), IBM restructuring evidence, 155 tech companies laid off 53K in early 2026. Structural case strengthening.

  • Mar 8, 2026Initial assessment: 70%

    Baseline — initial published assessment

What Experts Say

Dario Amodei

CEO, Anthropic

Track record: 8/10
AI will disrupt 50% of entry-level white-collar jobs over 1-5 years
Jan 2026 | interview
We assess this claim as 55% more likely than not

Goldman Sachs Research

Investment Bank Research Division

Track record: 7/10
AI could affect up to 300 million jobs globally (~9.1% of workers)
Jun 2025 | report
We assess this claim as 55% more likely than not

Goldman Sachs Research

Investment Bank Research Division

Track record: 7/10
AI-exposed industries will see job losses of ~20,000 per month in 2026 in the US
Feb 2026 | report
We assess this claim as 60% more likely than not

McKinsey Global Institute

Management Consulting Research Division

Track record: 7/10
By 2030, at least 14% of employees globally will need to change careers due to AI
Jun 2025 | report
We assess this claim as 60% more likely than not

Boris Cherny

Head of Claude Code, Anthropic

Track record: 8/10
AI can already write 100% of production code; top engineers using AI are 10x more productive
Feb 2026 | interview
We assess this claim as 70% likely

Jack Dorsey

Co-founder & Chairman, Block (formerly Square)

Track record: 5/10
AI can replace 40%+ of a Fortune 500 company's workforce in a single restructuring
Jan 2026 | news
We assess this claim as 25% unlikely

Cursor (Anysphere)

AI Code Editor ($2B ARR, 12 employees)

Track record: 8/10
AI-native companies can achieve billion-dollar revenue with teams of <20 people
Feb 2026 | product
We assess this claim as 95% near certain

What Could Go Wrong

Decline was mostly post-pandemic hiring normalization + economic softening, not AI displacement. Companies that cut juniors aggressively reverse course when senior talent pipelines dry up.

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