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AI: Jobs, Power & Money
24MAY

Columbia: 75% of jobless never file claims

2 min read
15:19UTC

The workers AI displaces are precisely the categories the unemployment system cannot see.

← Back to Rival studies split on AI's hit to jobsJump to analysis ↓
EconomicAssessed
Key takeaway

Three quarters of displaced workers never appear in the claims data policymakers depend on.

Fortune and Columbia University research confirmed that roughly 75% of unemployed Americans never file for unemployment insurance⁠1. Severance packages delay filing. Recent graduates lack sufficient work history to qualify. Contractors are categorically ineligible.

Initial jobless claims fell to 202,000 for the week ending 28 March, a 10-month low⁠2. New York's updated WARN Act, the world's first law requiring companies to disclose AI's role in mass layoffs, produced zero AI attributions from 162 companies covering 28,300 workers after nearly a year. The nine-senator coalition pushing for expanded BLS data collection is demanding better measurement from agencies whose existing tools are structurally blind to what they are meant to measure.

The National Bureau of Economic Research survey confirmed another dimension: executives use AI only 1.5 hours per week on average, yet project a 0.7% employment decline over three years. Workers at the same firms expect a 0.5% increase. Those planning the cuts and those absorbing them hold irreconcilable forecasts.

Deep Analysis

In plain English

In the US, when you lose your job you can apply for unemployment benefits. Those application numbers are published weekly and are one of the most widely watched economic indicators. Politicians and journalists use them to judge whether the job market is in trouble. The problem is that about 75% of people who are unemployed never apply. If you get a severance package, you often wait until it runs out. If you are a freelancer or contractor, you are not eligible. If you just graduated and have not worked long enough, you cannot apply. These are exactly the kinds of people most likely to be affected by AI Job Displacement: well-paid tech workers with severance, contractors, and new graduates. They are invisible to the data that policymakers rely on.

Deep Analysis
Root Causes

The US unemployment insurance system was designed in 1935 for industrial workers in continuous employment. It requires sufficient recent earnings, excludes the self-employed and contractors, and has not been updated to reflect the rise of gig work, project-based employment, or high-earning knowledge workers who receive severance packages on exit.

The specific worker profile that AI is displacing in 2026 fits the non-filing demographic almost precisely. Senior software engineers at Oracle and Salesforce with severance packages will wait months before filing. Recent graduates without two years of employment history cannot file.

Contractors and freelancers are categorically ineligible. The system's design was never a problem when the workers it could not see were a minority. It becomes a structural failure when the invisible cohort is the one at the centre of the displacement wave.

What could happen next?

  • Policymakers relying on jobless claims as their primary AI displacement signal will persistently under-respond to the scale of the problem, delaying support programmes until the financial distress of displaced tech workers becomes visible through consumer credit defaults rather than benefit filings.

Sources:Department of Labor·Bloomberg·Fortune / Columbia University
Mentions:Fortune →Bureau of Labor Statistics →Senator Mark Warner →Columbia University →Department of Labour →National Bureau of Economic Research →New York →AI Job Displacement →
First Reported In

Update #4 · AI leads US layoffs as cuts go uncounted

Department of Labor· 4 Apr 2026
Read original →
Causes and effects
Caused by
NY AI layoff law: 162 filings, zero hits
New York WARN Act failure to capture AI attributions extends the measurement failure documented when 75% of unemployed never file.
Occurred 26 Mar 2026
Read story →
NBER: nine in ten firms untouched by AI
NBER finding that 90% of firms report zero AI impact persists because measurement systems cannot see the displaced workers.
Occurred 25 Mar 2026
Read story →
This Event
Columbia: 75% of jobless never file claims
Jobless claims data systematically undercounts AI displacement, undermining the metrics that policymakers rely on.
Led to
Stanford: AI costs 34 hires per layoff
The Fortune/Columbia finding that 75% of unemployed Americans never file for benefits established measurement blindness dimension one; JOLTS confirms hires-not-made are invisible by a further order of magnitude.
Occurred 10 Apr 2026
Read story →
Different Perspectives
TSMC
TSMC
The chipmaker raised its 2026 revenue growth forecast to about 44% on 15 October while holding capital spending at $60-64bn. High-performance computing, mostly AI data-centre chips, made up 68% of quarterly revenue, so demand for the hardware behind automation is still rising.
South Korean government
South Korean government
Its statistics office published the first youth figures on the 15-to-34 band set by a revised law, showing a fall of 98,000 against 147,000 on the old band. Including people in their early thirties, whose employment rose, makes the official youth decline look gentler.
Office for National Statistics
Office for National Statistics
The ONS put UK vacancies at 691,000 for July to September and professional, scientific and technical vacancies 11.6% lower on the year. In September it had shown the same sector still adding jobs, so the fall appears in adverts before it reaches headcount.
Chinese government
Chinese government
Officials told a State Council Information Office briefing on 10 October that 10.52 million new urban jobs had been created by September, 87.7% of the annual target. Official figures show investment falling overall but rising in networks, data services and robot output, with urban unemployment at 5.2%.
Tharman Shanmugaratnam
Tharman Shanmugaratnam
Singapore's President, co-chair of the World Bank Jobs Council, urged governments at the Bangkok meetings to make crisis-era youth employment support a standing policy tool. That treats young workers' AI exposure as a lasting budget line rather than a shock to ride out.
Srini Pallia, Wipro
Srini Pallia, Wipro
Wipro's chief executive called AI a long-term growth driver as the company cut 6,716 staff on flat revenue. HCLTech and TCS added staff in the same quarter, so Wipro's cut sits beside its own weak revenue rather than an industry-wide fall.

Written with AI from Lowdown's published reporting. Not individually reviewed by an editor. Editorial standards.