Independent intelligence on the changing world of work

Modern Day Work
Edition 063 October 2026

Lead Story · Skills & Mobility · AI & Automation

Technology exposure creates more jobs where the surrounding skill mix is stronger

New ILO research suggests that exposure to digital technologies is more likely to translate into employment growth when local labour demand combines technical capability with broad cognitive, social and managerial skills.

Source published 29 September 2026

Original source Read article & comments
Multilateral research · global · ILO harmonized microdata covering 1,000+ subnational areas in 69 countries

What the evidence shows

  • The study compares more than 1,000 first-level administrative regions across 69 countries and covers exposure to 40 technologies, from robotics and cloud computing to machine learning and digital payments.
  • Greater exposure was associated on average with a higher employment-to-population ratio, but gains were uneven by age, education and national income level.
  • Employment gains were larger where local occupations placed more weight on sophisticated cognitive skills, basic computing, finance, writing, project and process management and people management.
  • The policy message is not to train everyone for the newest technical tool. Technical learning should be combined with complementary skills, lifelong updating and income protection for workers who still face displacement.

Keep in Mind: The underlying paper is forthcoming. The measure captures potential sectoral exposure, not observed adoption, and the regional design identifies association rather than proving that a particular technology caused employment growth.

Continue to this week’s research

Studies and reports · Edition 06

Research Review

The studies and reports worth your time—edited to surface their argument, key findings, recommendations and limitations.

02 · Policy & Regulation · Worker Surveillance

Source published 30 September 2026

California moves workplace AI from principles to enforceable limits

A new state package restricts several high-stakes workplace uses of AI and preserves human responsibility for decisions that affect jobs.

Key points

  • Employers may not rely on AI alone to decide whether a worker should be dismissed, keeping accountability with a human decision-maker.
  • Employers must disclose when AI was a contributing factor in a mass layoff, creating a record of technology’s role in workforce reductions.
  • The package limits the use of biometric data to infer a worker’s emotional state and adds protections against certain forms of AI-enabled surveillance.
  • The laws turn abstract transparency and human-oversight principles into obligations tied to specific employment decisions.
Original source Read article & comments
State legislation · California, United States · signed worker-protection package

Keep in Mind: This is a policy development, not evidence of outcomes. Effects will depend on statutory wording, implementation dates, enforcement and interaction with federal and other state rules.

03 · Gig & Platform Work · Policy

Source published 10 September 2026

Platform work needs a joined-up framework, not isolated fixes

A new UN policy brief treats platform work as a labour-market governance problem spanning status, social protection, data, algorithms and collective voice.

Key points

  • The brief cites estimates of 154 million to 435 million people participating globally in platform or online gig work, underscoring large uncertainty in definition and measurement.
  • It argues that nominal flexibility often coexists with income volatility, weak bargaining power and exclusion from protections linked to employee status.
  • Algorithmic allocation, rating and discipline require transparency, human review and accessible routes to challenge decisions.
  • The recommended direction combines clearer status rules, portable or extended protection, worker-data rights and collective representation rather than treating each issue separately.
Original source Read article & comments
UN policy brief · global · evidence synthesis rather than a new representative survey

Keep in Mind: Global estimates vary widely because countries and studies define platform work differently. The brief synthesizes evidence and policy principles; it does not measure the effect of a single regulatory model.

04 · Compensation & Security · Labour Market

Source published 30 September 2026

US private hiring improved, but the signal remains modest

The September ADP report recorded faster private-payroll growth after a weak August, while still pointing to a labour market expanding at a restrained pace.

Key points

  • Private employment increased by 90,000 jobs in September after a downwardly revised increase of 36,000 in August.
  • The result was above the contemporary consensus forecast of 70,000 but remained far below the pace associated with a rapidly tightening labour market.
  • ADP develops the series with the Stanford Digital Economy Lab from payroll records, making it timely and independent of employer sentiment surveys.
  • The series should be read alongside official BLS data: its month-to-month estimate can diverge materially from the later government payroll count.
Original source Read article & comments
Private payroll indicator · United States · ADP administrative payroll records, developed with Stanford Digital Economy Lab

Keep in Mind: ADP is not the official US employment estimate and has sometimes been a poor guide to the BLS private-payroll figure. This item describes labour-market security, not AI’s causal contribution to hiring.

05 · Israel Watch · AI & Employment

Source published 11 August 2026

Israel’s stable high-tech headline conceals a widening software–hardware divide

Israel Innovation Authority data show broadly stable first-half employment, but markedly higher layoffs in software and weakening hiring plans for the second half of 2026.

Key points

  • The 210 companies hired workers equal to 8% of their workforces and laid off 2.8%, while 4.3% left voluntarily.
  • Software-company layoffs reached 6.6%, versus 1.1% in hardware and 2.7% in pharma and medical companies.
  • AI was cited as the primary reason for workforce reductions by only 7% of companies, up from 5%, suggesting a growing but still limited direct role.
  • Planned hiring fell from 7.2% in the first half to 5.9% for the second half, while more than one-third expected employment to decline.
Original source Read article & comments
Public agency survey · Israel · 210 companies employing about 130,000 people

Keep in Mind: The sample covers companies with more than 50 employees and represents over 80% of workers at such firms, but may not reflect startups and micro-firms. Company attributions do not isolate AI’s causal effect.

From evidence to action

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Key Developments

Consequential developments, including a dedicated Israel watch in every edition.

30 September 2026 · Policy & Regulation · Worker Surveillance

California signs a workplace-AI worker-protection package

The new laws preserve human responsibility for firing decisions, require notice when AI contributes to mass layoffs and restrict emotion inference from biometric data.

28 September 2026 · AI & Automation · Economic Policy

The Federal Reserve sees little structural labour-market change from AI—so far

Governor Lisa Cook described AI as a transformative general-purpose technology but said current evidence of labour-market restructuring remains limited, while warning that transition effects could still raise unemployment temporarily.