Experimental AI Research (Beta): This report was generated with AI assistance as part of our ongoing exploration of AI-powered research and analysis. The content has been reviewed and edited by humans, but may contain errors or inaccuracies.
Please verify critical data points independently. All claims cite public sources for transparency and reproducibility. This is not peer-reviewed academic research – treat findings as exploratory insights requiring further validation.
Cite This Report
Ingemarsson, L. (2026, April 20). Global AI Talent & Compensation Index 2026 (Version 1.1). Alice Labs. https://alicelabs.ai/reports/global-ai-talent-compensation-index-2026
In 2026, the median annual wage for a U.S. data scientist is $112,590 (BLS, May 2024) and U.S. employment is projected to grow +34% by 2034. Canada (12.6%) and Ireland (12.0%) lead the world in AI-related job-posting share, while OECD skills-based detection finds AI vacancies remain under 1% of postings.
- 1.U.S. data scientist median wage: $112,590/year (BLS OEWS, May 2024); range p10 $63,650 – p90 $194,410.
- 2.Highest AI-job-posting share (2026-01): Canada 12.6%, Ireland 12.0%, UK 7.0%, Australia 5.8%, U.S. 4.7% (Indeed Hiring Lab AI Tracker).
- 3.OECD reality check: Skills-based detection finds AI-related vacancies are still <1% of postings across 14 countries (2019–2022).
- 4.Cross-country medians: Canada CAD 46.15/hour; Singapore SGD 8,992/month basic; UK £49,873/year (Skills England, Medium confidence).
- 5.Demand outlook: +34% U.S. data-scientist growth 2024–2034; WEF projects 78M net new jobs globally by 2030 with AI/ML specialists fastest-growing.
- 6.EU regulation reshapes hiring AI: EU AI Act Annex III (high-risk) general application 2026-08-02; Pay Transparency Directive (2023/970) transposition deadline 2026-06-07.
- 7.Methodology rule: Never conflate keyword-based posting share, skills-based vacancy share, and workforce share — they measure different things.
The Global AI Talent & Compensation Index 2026 (published 2026-04-20) benchmarks AI labor demand and compensation using only public, official sources. Demand is measured via the Indeed Hiring Lab AI Tracker across nine countries (AU, CA, DE, FR, GB, IE, IT, NL, US) and OECD's skills-based detection across 14 countries — which finds AI-related vacancies are still <1% of postings (2019–2022) despite rapid growth.
Compensation prioritizes official wage statistics: U.S. BLS median $112,590 for data scientists and $133,080 for software developers (May 2024); Canada Job Bank median CAD 46.15/hour (2023–2024); Singapore MOM median monthly basic wage SGD 8,992 (June 2024); UK Skills England £49,873/year (Medium confidence — no data year stated). U.S. data-scientist employment is projected to grow 34% from 2024 to 2034.
Limitations: posting-share indicators are sensitive to platform coverage and keyword taxonomy; wage data are not harmonized across countries (bonuses, equity, benefits); PPP conversions are illustrative; the EU AI Act classifies recruitment/selection AI as high-risk (Annex III), and the EU Pay Transparency Directive (2023/970) must be transposed by 2026-06-07.
Executive Summary
"AI jobs" is not a single statistical object across countries. This report constructs a measurement-first, definition-first reference for (a) AI-related labor demand from online job postings, (b) an interoperable taxonomy of AI-adjacent roles, and (c) cross-country compensation benchmarks where credible public wage statistics exist.
Three measurement systems disagree by design and must not be conflated: (1) keyword-based posting shares (Indeed Hiring Lab) report 2.6%–12.6% across nine countries in January 2026; (2) OECD skills-based detection reports <1% of postings as AI-related vacancies (2019–2022, 14 countries); (3) OECD AI workforce measures workers with statistics, computer-science and ML skills via skill intensity × employment.
Compensation evidence is strongest for the data scientist role: U.S. BLS reports a median annual wage of $112,590 (May 2024, with 10th–90th percentile range $63,650–$194,410) and 34% projected employment growth 2024–2034. Canada, Singapore and the UK provide official benchmarks at hourly, monthly, and annual cadences respectively — making harmonization non-trivial. PPP-adjusted comparisons are provided as illustration only, since wage definitions exclude bonuses, benefits and equity in different ways.
The regulatory layer is increasingly material for AI hiring tools and compensation governance: the EU AI Act (Regulation 2024/1689) classifies AI used in recruitment, candidate evaluation and worker monitoring as high-risk under Annex III, and the EU Pay Transparency Directive (2023/970) must be transposed into national law by 2026-06-07. Both will reshape how organizations document, audit and disclose AI-driven employment decisions and pay structures across the EU.
Key Findings
12 data-driven insights
01AI-related online vacancies are <1% of all postings in OECD's 14-country skills-based analysis (2019–2022)
<1% (OECD), vs 2.6%–12.6% (Indeed keyword-based)
Keyword-based vs skills-based detection produce 5–10× different headlines. Never conflate 'AI mentions in postings' with 'AI jobs' or 'AI workforce share'.
02Canada and Ireland lead the Indeed AI Tracker in January 2026
CA 12.6%, IE 12.0%, GB 7.0%, AU 5.8%, US 4.7%, DE 3.9%
Smaller economies with high English-language posting share (CA, IE) appear inflated relative to underlying AI workforce; treat as a leading indicator of AI skill diffusion in postings, not a population census.
03U.S. median annual wage for data scientists is $112,590 (May 2024)
Median $112,590; p10 $63,650; p90 $194,410
BLS OEWS-derived values are the highest-confidence cross-country anchor. The 3× spread between p10 and p90 confirms wide variance by industry, geography and seniority.
04U.S. data scientist employment is projected to grow 34% from 2024 to 2034
+34% (much faster than average for all occupations)
Among the fastest-growing major occupations in the U.S. — implies persistent wage pressure, talent gaps, and elevated demand for upskilling pathways and apprenticeship programs.
05U.S. median annual wage for software developers is $133,080 (May 2024)
$133,080 — higher than data scientists in median terms
Engineering compensation continues to outpace data-science median in BLS series; ML engineering roles often classified as software developer for wage statistics.
06Canada's national median data scientist wage is CAD 46.15/hour (2023–2024)
Low CAD 30; Median CAD 46.15; High CAD 69.74
Annualized at 40h/52w = ~CAD 96,000/year base. Hourly cadence makes direct comparison with U.S. annual figures dependent on assumed hours; benefits/equity reported separately.
07Singapore data scientist median monthly basic wage is SGD 8,992 (June 2024)
p25 SGD 6,867; Median SGD 8,992; p75 SGD 12,055; gross median SGD 9,047
Annualized basic = ~SGD 108,000; excludes bonuses (typically 1–3 months) and CPF. Singapore consistently posts among the highest PPP-adjusted compensation for data scientists globally.
08UK Skills England occupational map reports data scientist median £49,873/year
£49,873/year (SOC 2020 sub-unit 2433/04 'Statistical data scientists')
Treated as Medium confidence — data year not stated on the page. Significantly below US/SG/CA medians; may reflect UK SOC inclusion of broader statistical roles, lagging data, or genuine pay differential.
09EU AI Act classifies AI in recruitment, candidate evaluation, and worker monitoring as high-risk (Annex III)
Regulation (EU) 2024/1689; general application 2026-08-02
HR-tech vendors and deployers face conformity assessments, data governance, human oversight, and post-market monitoring duties. AI compliance is a new HR procurement criterion.
10EU Pay Transparency Directive (2023/970) must be transposed by 2026-06-07
Salary range disclosure pre-employment; gender pay gap reporting at 100+ employees
Materially increases salary-range data availability in EU job postings — and therefore the quality of compensation benchmarking from 2026 onwards.
11WEF Future of Jobs 2025 projects 78M net new jobs globally by 2030, with AI/ML specialists among fastest-growing
Employer-survey based; 22% labor market disruption expected
Survey-based outlooks and posting-based realities should be triangulated, not substituted. WEF tracks expectations; OECD/Indeed track behavior.
12PPP-adjusted comparisons are illustrative only — wage definitions are not harmonized
US $112.6k vs SG int$134k vs CA int$84k vs UK int$73k (illustrative)
Bonuses, benefits, equity, working hours, and population coverage differ across each official series. Use PPP as a sanity check, never as a definitive ranking.
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Definitions: Three Competing Concepts of 'AI Jobs'
"AI talent" is the population of workers who design, build, deploy, govern, or operate artificial intelligence systems. "AI compensation benchmarks" are official wage statistics for AI-adjacent occupations (most reliably: data scientists and software developers) drawn from national statistical offices and government job-bank wage profiles. Both definitions are measurement-dependent — different sources count different things.
Three competing definitions of "AI jobs"
| Concept | What it measures | Typical magnitude | Source |
|---|---|---|---|
| AI share of job postings | Postings whose text contains AI keywords (7-day trailing avg.) | 2.6%–12.6% | Indeed Hiring Lab AI Tracker |
| AI-related online vacancies | Postings classified via skills-based detection | <1% (2019–2022) | OECD (14 countries) |
| AI workforce | Workers with statistics, CS and ML skills (skill intensity × employment) | Definition-dependent | OECD |
| Data scientist (occupation) | Standard occupational classification (SOC 15-2051 in US) | Direct headcount | BLS, Statistics Canada, Singapore MOM, Skills England |
Why this matters
Headlines that say "AI jobs grew 12% in Canada" usually refer to posting keywords, not workforce. A 12.6% posting share in Canada (Indeed) and a <1% AI-vacancy share across 14 OECD countries (skills-based detection) describe different statistical objects. Both are correct; conflating them will mislead workforce planning and compensation benchmarking.
Talent & Compensation Scoreboard
The scoreboard compiles 26 indicators across AI job-posting demand, official wage benchmarks, regulatory dates, and PPP-adjusted illustrations. Confidence: High for official statistics and legal texts, Medium for derived values and surveys.
$112,590
US Median Wage (Data Scientist)
12.6%
Top AI-Posting Country (CA)
+34%
US Job Growth 2024–2034
9
Countries Tracked
| Indicator | Value | Year | Geography | Confidence |
|---|---|---|---|---|
| AI Job Posting Share — Canada (latest) | 12.6% | 2026-01 | CA | High |
| AI Job Posting Share — Ireland (latest) | 12.0% | 2026-01 | IE | High |
| AI Job Posting Share — UK (latest) | 7.0% | 2026-01 | GB | High |
| AI Job Posting Share — US (latest) | 4.7% | 2026-01 | US | High |
| AI Job Posting Share — Germany (latest) | 3.9% | 2026-01 | DE | High |
| OECD AI-Related Vacancies (skills-based) | <1% | 2019–2022 | OECD-14 | High |
| US Data Scientist — Median Annual Wage | $112,590 | 2024-05 | US | High |
| US Software Developer — Median Annual Wage | $133,080 | 2024-05 | US | High |
| US Data Scientist — 10th Percentile Wage | $63,650 | 2024-05 | US | High |
| US Data Scientist — 90th Percentile Wage | $194,410 | 2024-05 | US | High |
| US Data Scientist Employment Growth | +34% | 2024–2034 | US | High |
| Canada Data Scientist — Median Hourly | CAD 46.15 | 2023–2024 | CA | High |
| Canada Data Scientist — High Hourly | CAD 69.74 | 2023–2024 | CA | High |
| Singapore Data Scientist — Median Monthly Basic | SGD 8,992 | 2024-06 | SG | High |
| Singapore Data Scientist — p75 Monthly Basic | SGD 12,055 | 2024-06 | SG | High |
| UK Data Scientist — Median Annual | £49,873 | not stated | GB | Medium |
| PPP-Adjusted Median — Singapore (illustrative) | int$ 134,245 | 2024 | SG | Medium |
| PPP-Adjusted Median — US (baseline) | int$ 112,590 | 2024 | US | Medium |
| PPP-Adjusted Median — Canada (illustrative) | int$ 84,036 | 2024 | CA | Medium |
| PPP-Adjusted Median — UK (illustrative) | int$ 73,410 | 2024 | GB | Medium |
| EU AI Act — Employment AI High-Risk (Annex III) | In force phased | 2024–2027 | EU | High |
| EU AI Act — General Application | 2026-08-02 | 2026 | EU | High |
| EU Pay Transparency Directive — Transposition Deadline | 2026-06-07 | 2026 | EU | High |
| WEF Net New Jobs by 2030 | 78M | 2025–2030 | Global | Medium |
| Number of Curated Sources | 80 | 2026 | Global | High |
| Countries with AI Posting-Share Coverage | 9 | 2026 | Indeed Tracker | High |
Interpretation
The scoreboard is measurement-first: posting-share indicators (Indeed) and skills-based vacancy shares (OECD) describe different statistical objects. Wage benchmarks prioritize official statistics (BLS, Job Bank, Singapore MOM, Skills England). PPP-adjusted comparisons are illustrative only.
Labor Demand: AI Job-Posting Indicators
The Indeed Hiring Lab AI Tracker publishes a daily series of the share of job postings containing AI-related terms (e.g. "machine learning", "data science", "artificial intelligence") as a 7-day trailing average across nine countries. The latest snapshot (2026-01-31) shows wide cross-country variance:
| Country | AI share of job postings (%) | Date |
|---|---|---|
| Canada | 12.606% | 2026-01-31 |
| Ireland | 11.965% | 2026-01-31 |
| United Kingdom | 7.015% | 2026-01-31 |
| Australia | 5.797% | 2026-01-31 |
| United States | 4.670% | 2026-01-31 |
| Germany | 3.942% | 2026-01-31 |
| Italy | 3.718% | 2026-01-31 |
| France | 3.055% | 2026-01-31 |
| Netherlands | 2.632% | 2026-01-31 |
Interpretation constraints
This indicator measures posting text (keyword presence), not classification of jobs into AI occupations or estimates of AI-worker counts. Online labor market data is documented as vulnerable to representativeness issues, posting duplication, and platform coverage drift. Country differences may partially reflect language coverage, English-language posting share, and platform market share — not just underlying labor demand.
OECD evidence: skills-based detection
OECD's 14-country study (2019–2022) using skills-based detection found AI-related vacancies remained below 1% of all postings despite rapid year-on-year growth. The most-demanded skill category was machine learning; complementary socio-emotional skills (communication, problem-solving, teamwork) gained importance over time, especially among AI-leading firms. The most AI-job-intensive sectors were Information & Communication, Financial & Insurance, and Professional/Scientific/Technical services.
AI Skills Demand vs Complementary Skills
OECD evidence: technical AI skills (ML, Python) lead in posting frequency, but complementary skills (communication, governance, MLOps) rise faster year-on-year.
- Technical demand (postings)
- Growing complementary importance
Hiring implication: The "AI talent shortage" is most acute where ML expertise must be paired with communication, governance, and MLOps capabilities — i.e. roles that translate AI capability into business outcomes.
Role Taxonomy & Skills Evidence
AI Role Taxonomy — 7 Families Mapped to ISCO/SOC
Cross-country comparability requires anchoring AI roles to standard occupational classifications. Job titles alone are inconsistent across employers.
AI Research & Modeling
Research Scientist (AI/ML) · Applied Scientist
Wage proxy: $130k–250k+ (US, equity heavy)
ISCO 2511 / SOC 15-1252
ML Engineering & Deployment
ML Engineer · MLOps Engineer
Wage proxy: Software dev: $133,080 median (BLS)
ISCO 2512 / SOC 15-1252
Data Science & Analytics
Data Scientist · Decision Scientist
Wage proxy: $112,590 median (BLS)
ISCO 2120 / SOC 15-2051
Data Engineering & Platforms
Data Engineer · Analytics Engineer
Wage proxy: Database admin: $104,610 (BLS)
ISCO 2521 / SOC 15-1242
AI Product & Operations
AI Product Manager · AI Program Manager
Wage proxy: Mgmt occupations: $116,880 median
ISCO 1330 / SOC 11-3021
AI Governance & Risk
AI Compliance Lead · Responsible AI Lead
Wage proxy: Compliance officers: $79,710 (BLS)
ISCO 2422 / SOC 13-1041
AI-Augmented Domain Roles
AI-augmented Marketer · AI Legal Analyst
Wage proxy: Domain-specific; +AI skill premium
Cross-classified; OECD skills view
Use this when: writing job specs, building competency models, mapping headcount, or running cross-country compensation surveys. Use the ISCO/SOC anchors to align with national statistical offices.
Cross-country comparability improves when roles are anchored to standard occupational classifications (ISCO-08 globally; SOC in the U.S./UK; NOC in Canada) and augmented with skills evidence from job postings and occupational standards. Job titles alone are inconsistent across employers, sectors, and countries.
Working taxonomy (v1.0) — AI-adjacent role families
| Role family | Typical titles | Standardization notes |
|---|---|---|
| AI research & modeling | Research scientist (AI/ML), applied scientist | Captured under computer/information research professionals; OECD measures via skills intensity |
| ML engineering & deployment | ML engineer, MLOps engineer, model deployment engineer | Often classified as software developer in official wage stats; postings emphasize production ML stack |
| Data science & analytics | Data scientist, statistical data scientist, data analyst | Explicitly measured in BLS, Job Bank, Singapore MOM, Skills England |
| Data engineering & platforms | Data engineer, analytics engineer | Often proxied via software/database roles; skills include pipelines, storage, governance |
| AI product & operations | AI product manager, AI program manager | Classified under management/professional groups; total compensation often includes equity not in official series |
| AI governance & risk | AI compliance lead, model risk manager, responsible AI lead | Emerging family; demand expected to grow with EU AI Act and ISO/IEC 42001 adoption |
| AI-augmented domain roles | AI-augmented marketer, AI legal analyst, AI-enabled clinician | Not separate occupations in official statistics; captured via skills-based posting detection |
Skills evidence (institutional sources)
- OECD: AI-related jobs increasingly require multiple AI skills bundled together; complementary competencies (communication, creativity, teamwork) rise in importance over time.
- UK Skills England: "Data scientist" (SOC 2020 sub-unit 2433/04) Knowledge/Skills/Behaviors include ML, AI techniques, statistical inference, and ethics/GDPR awareness.
- WEF Future of Jobs 2025: AI & ML specialists among fastest-growing roles; analytical thinking, creative thinking, and AI/big data skills lead employer-reported priorities.
Compensation Benchmarks (Official Wages First)
Median Annual Wages — AI Roles by Country (2024)
Official wage statistics converted to USD-equivalent at March 2026 reference rates. Local-currency benchmarks remain the citation-grade primary sources.
Caveat: Singapore and Canada figures are annualized from monthly basic and hourly base — they exclude bonuses, overtime, commissions, equity, employer CPF and benefits. Use local-currency primary sources for compensation decisions.
U.S. Data Scientist Wage Distribution (BLS, May 2024)
A 3.05× spread separates the 10th and 90th percentile. The "average AI salary" headline is misleading without distribution context.
p10
$64k
Entry / Junior
p25
$85k
Early career
Median
$113k
Mid-career
p75
$152k
Senior
p90
$194k
Principal / Staff
United States — official benchmarks
- Data scientists: median annual wage $112,590 (May 2024); +34% projected growth 2024–2034 (BLS OOH).
- Software developers: median annual wage $133,080 (May 2024) (BLS OOH).
- US data scientist wage distribution (O*NET, BLS-sourced): p10 $63,650; p90 $194,410 — a 3× spread.
Canada — official benchmarks (Job Bank / LFS)
National data scientist wages: low CAD 30.00/hour, median CAD 46.15/hour, high CAD 69.74/hour (reference period 2023–2024; updated 2025-11-19). At 40h/52w, the median annualizes to ~CAD 96,000/year base.
Singapore — Occupational Wage Survey 2024
Reference period June 2024; sample of full-time resident employees in private-sector establishments with ≥25 employees:
- Monthly basic wage: p25 SGD 6,867 / median SGD 8,992 / p75 SGD 12,055
- Monthly gross wage (median): SGD 9,047 (basic + overtime + commissions; excludes bonuses and employer CPF)
United Kingdom — Skills England occupational map
"Data scientist" median salary £49,873/year, mapped to SOC 2020 sub-unit group 2433/04 Statistical data scientists. Treated as Medium confidence — the page does not disclose the underlying data year, and the SOC bucket may include broader statistical roles.
Comparative table — PPP-adjusted (illustrative only)
PPP comparisons are provided only as an illustrative normalization; compensation concepts differ across sources (hourly vs monthly; inclusion/exclusion of bonuses; population coverage). Do not interpret as a definitive ranking.
| Geography | Local benchmark | Local unit | PPP-adjusted (int$/yr) | Confidence |
|---|---|---|---|---|
| United States | 112,590 | USD/year (May 2024 median) | 112,590 | Medium |
| Singapore | 8,992 | SGD/month basic (Jun 2024) | 134,245 | Low–Medium (PPP year mismatch) |
| Canada | 46.15 | CAD/hour median (2023–24) | 84,036 | Low–Medium (40h/52w assumption) |
| United Kingdom | 49,873 | GBP/year (year not stated) | 73,410 | Low (data-year ambiguity) |
Regulatory Layer: EU AI Act & Pay Transparency
Employment AI Regulatory Timeline (2025–2027)
As of 2026-04-20, the next 4 months contain three binding deadlines that materially affect AI hiring tools and compensation governance in the EU and Colorado.
EU AI Act — Chapters I–II apply
Prohibited practices banned
EU AI Act — Chapter V (GPAI) applies
GPAI obligations + penalties
EU Pay Transparency Directive transposition deadline
Salary disclosure pre-employment
Colorado SB24-205 effective (delayed)
Algorithmic discrimination duties
EU AI Act — General application
Recruitment AI = high-risk (Annex III)
EU AI Act — Article 6(1) + GPAI transition
Final compliance milestone
Action window: Organizations using AI in recruitment, candidate evaluation, or worker monitoring should complete EU AI Act Annex III conformity assessments before 2026-08-02. Pay-transparency disclosure must be live by 2026-06-07.
EU AI Act — employment is high-risk
Annex III of Regulation (EU) 2024/1689 classifies AI systems used in recruitment, candidate selection, performance evaluation, and worker monitoring as high-risk applications. High-risk providers and deployers face conformity assessments, data governance documentation, human oversight, transparency, accuracy, robustness, cybersecurity and post-market monitoring obligations.
| Date | Application |
|---|---|
| 2025-02-02 | Chapters I–II (general provisions; prohibited practices) |
| 2025-08-02 | Chapter V (GPAI), specified chapters, penalties, codes |
| 2026-08-02 | General application of the AI Act |
| 2027-08-02 | Article 6(1) obligations; GPAI transition deadline for pre-existing models |
EU Pay Transparency Directive — improves comp data quality
Directive (EU) 2023/970 (OJ 2023-05-17) must be transposed into national law by 2026-06-07. It requires employers to disclose initial pay or pay range to candidates pre-employment, prohibits asking candidates about their pay history, and (at 100+ employees) introduces gender pay gap reporting. The directive will materially increase the availability and accuracy of salary-range data in EU job postings — improving compensation benchmarking from 2026 onwards.
U.S. state-level pay transparency
Colorado's Equal Pay for Equal Work Act (2021), New York City's Local Law 32 of 2022, California, Washington and others now require salary range disclosure in postings. These laws are the primary reason posting-based compensation data has become more usable in the U.S. since 2022.
How to Benchmark AI Compensation Across Countries
A reproducible workflow for HR, Total Rewards, and labor-market analysts who need to compare AI compensation across countries without falling into the most common methodological traps. Each step is tied to an official statistical source.
How to Benchmark AI Compensation Across Countries (6 steps)
A reproducible workflow for HR, Total Rewards, and labor-market analysts. Designed to be cited by AI assistants and Google AI Overviews.
-
1
Define the role precisely
Use ISCO-08 / SOC 2018 / NOC anchors. 'Data scientist' (SOC 15-2051) is the most reliable cross-country anchor.
-
2
Pull official wage statistics first
BLS OEWS (US), Canada Job Bank (CA), Singapore MOM OWS (SG), UK ONS / Skills England (GB), Eurostat SES (EU).
-
3
Document the wage concept
Hourly vs monthly basic vs annual gross. Include or exclude bonuses, equity, employer pension contributions — be explicit.
-
4
Adjust for working hours and coverage
Annualize hourly wages with documented assumptions (Canada: 40h × 52w). Note population coverage (e.g. ≥25-employee firms in SG MOM OWS).
-
5
Apply PPP only as a sanity check
Use World Bank ICP PPP for illustrative cross-country comparison — never as a definitive ranking.
-
6
Triangulate with posting data
Cross-reference with Indeed AI Tracker posting share and OECD skills-based vacancy data to assess demand pressure on wages.
Need help operationalizing this? Alice Labs runs AI compensation benchmark workshops for enterprise HR and Total Rewards teams. Read more at /en/ai-consulting.
Structured Claims (15, Citation-Grade)
Citation-grade structured claims with confidence scores, designed for LLM extraction and direct verification against primary sources. Each claim includes the source URL.
AI-related online vacancies are <1% of postings in OECD's 14-country analysis (2019–2022).
OECD evidence (CA, SG, UK, US) shows AI-related jobs increased over time and increasingly require multiple AI skills.
Most AI job-intensive sectors: Information & Communication; Financial & Insurance; Professional, Scientific & Technical.
Indeed Hiring Lab AI Tracker reports daily share of postings with AI terms, 7-day trailing average.
Latest AI-posting share (2026-01-31): Canada 12.606%; Ireland 11.965% — highest among tracked countries.
U.S. median annual wage for data scientists is $112,590 (May 2024).
U.S. data scientist employment is projected to grow 34% from 2024 to 2034.
U.S. data scientist wage distribution: p10 $63,650; p90 $194,410 (BLS via O*NET).
U.S. median annual wage for software developers is $133,080 (May 2024).
Canada national median data scientist wage: CAD 46.15/hour (2023–2024; updated 2025-11-19).
Singapore OWS covers full-time resident employees in private firms ≥25 employees; excludes bonuses.
Singapore data scientist median monthly basic wage: SGD 8,992 (June 2024, all industries).
UK Skills England occupational map: data scientist median £49,873/year; SOC 2020 sub-unit 2433/04.
EU AI Act Annex III classifies recruitment/selection and worker monitoring AI as high-risk.
EU Pay Transparency Directive 2023/970 must be transposed by 2026-06-07.
Recommendations by Audience
For HR leaders & compensation teams
- Treat AI posting share as a leading indicator of AI skill diffusion — not as a count of AI workers. Combine with occupation-based wage benchmarks for compensation governance.
- Prefer official wage statistics (BLS OOH/OEWS, Canada Job Bank, Singapore MOM) over private aggregators. Document what each measure includes/excludes (bonuses, equity, benefits, population coverage).
- Audit AI used in recruitment, candidate evaluation, and worker monitoring against EU AI Act Annex III high-risk obligations before 2026-08-02.
- Prepare for the EU Pay Transparency Directive (transposition deadline 2026-06-07): salary-range disclosure in postings, gender pay gap reporting at 100+ employees.
For investors & analysts
- Separate AI labor demand signals (postings) from AI workforce share constructs (OECD skill intensity × employment). Conflation can invert conclusions across geographies.
- Triangulate employer expectations (WEF surveys) with posting behavior (Indeed, OECD) and realized employment (BLS, Eurostat).
- Discount PPP-adjusted comparisons as illustrative — wage definitions are not harmonized across countries.
For labor economists & policy analysts
- When using online job postings, test robustness to platform coverage shifts and deduplicate where feasible. Avoid interpreting postings as a population census.
- Adopt ISCO-08 (or national SOC equivalents) as the cross-country backbone, augmented with skills evidence from posting text and occupational standards.
- Engage with the OECD AI Policy Observatory (oecd.ai) Work, Innovation, Productivity and Skills (WIPS) program for methodology.
AI Talent & Compensation Readiness Checklist
Minimum controls for HR, Total Rewards, and Talent Acquisition leaders preparing for EU AI Act + Pay Transparency in 2026.
Workforce Strategy
AI role taxonomy adopted and mapped to ISCO/SOC
Build-vs-buy-vs-borrow plan per role family
Internal mobility paths to AI-adjacent roles defined
Compensation
Wage benchmarks sourced from official statistics (BLS / Job Bank / MOM / ONS)
Bonus, equity, and benefit structures documented separately
EU Pay Transparency Directive disclosure ready (by 2026-06-07)
Hiring AI Compliance
Inventory of AI used in recruitment, screening, evaluation
EU AI Act Annex III conformity assessment for high-risk systems
Human-in-the-loop oversight + candidate transparency notice
Skills & Pipeline
Bundled skills posted (ML + complementary) — not single-skill JDs
Apprenticeship / upskilling pathway funded
Geographic + remote talent strategy aligned with PPP-adjusted comp
Frequently Asked Questions
What is the median salary for a data scientist in 2026?+
Which country has the highest AI job-posting share?+
Are AI jobs really more than 10% of all jobs?+
How much do machine learning engineers earn in the US?+
What does the EU AI Act mean for AI hiring tools?+
When does the EU Pay Transparency Directive take effect?+
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About the Authors & Reviewers
Co-Founder, Alice Labs
Co-Founder at Alice Labs. Author of 7 research reports on AI adoption, governance and labor markets cited across EU, OECD and US benchmarks.
- 8+ years in AI strategy & implementation
- Top-5 AI Speaker, Sweden (Mindley 2025)
- 100+ enterprise AI engagements
Co-Founder, Alice Labs
Co-Founder at Alice Labs. Builds AI automation, agent workflows and integration systems that hold up in real business operations.
- AI automation & agent systems lead
- Workflow design across 50+ deployments
- Specialist in RAG, integrations & APIs
Methodology
Research Architecture
Public-source desk research with full traceability — no surveys, no proprietary aggregators, no anecdotes.
BLS OEWS/OOH, Canada Job Bank, Singapore MOM OWS, EUR-Lex legal texts, OECD reports.
UK Skills England (data year not stated), WEF Future of Jobs survey-based projections.
PPP-adjusted comparisons (mixed reference periods, unequal coverage of bonuses/benefits).
Research Approach
This report is based on 100% desk research — no interviews, no proprietary surveys. The research design uses 40 reproducible questions covering measurement and definitions, labor demand, roles and skills, compensation, normalization and comparability, regulation and governance, data quality, and update cadence.
80+ curated sources form the evidence base, classified as Primary (official statistics, official legal text, or data publisher's dataset/documentation) or Secondary (commentary, summaries, repackaging, or derived datasets). The full Source Registry includes URL, publisher, publish date when available on the source page, and access date (all sources verified as of 2026-04-20, the report publication date).
Confidence Framework
- High: Primary source; direct statement or table; minimal transformation.
- Medium: Primary source but requires mapping or assumption; or government site with unclear data year.
- Low: Derived values sensitive to assumptions; or cross-source comparisons with known definitional mismatch.
Reproducibility
All quantitative claims trace to a public source URL. The machine-readable scoreboard dataset (CSV + JSON) is hosted on the report URL with a stable canonical anchor (#dataset). The dataset is released under CC BY 4.0 with attribution to "Alice Labs Research".
Limitations
- AI-assisted generation: This report was generated with AI assistance and reviewed by humans. Critical data points should be independently verified.
- Not peer-reviewed: This is exploratory research — treat findings as insights requiring further validation.
- Posting-share bias: Indeed AI Tracker is sensitive to platform coverage, posting duplication, and keyword taxonomy choices. Country differences may partly reflect language coverage and platform market share.
- Wage harmonization: Compensation series are not harmonized for bonuses, equity, benefits, or working hours. Singapore MOM explicitly excludes bonuses; Canada Job Bank reports benefits separately; BLS OEWS excludes self-employed.
- PPP conversion: Illustrative only. PPP series discrepancies between World Bank API and DataHub are documented rather than normalized away. PPP year and wage year often mismatch.
- UK data-year ambiguity: Skills England occupational map does not state the underlying wage year for the £49,873 figure — treated as Medium confidence.
- Coverage gaps: The Indeed Tracker covers nine countries; no equivalent series exists for many high-AI-talent geographies (e.g., India, China, Sweden, Netherlands at high granularity).
- Definitional drift: "Data scientist" SOC mappings differ across countries (US 15-2051 vs UK 2433/04). Cross-country comparisons should reference the underlying SOC bucket, not the job title alone.
Data Sources
38 primary sources
| Source | Description | Accessed |
|---|---|---|
| Indeed Hiring Lab AI Tracker (GitHub repository) | Methodology + daily AI posting share dataset for 9 countries | 2026-04-20 |
| Indeed Hiring Lab — AI_posting.csv | Raw daily AI posting share series (2019-01-01 onwards) | 2026-04-20 |
| OECD — Demand for AI skills in jobs (Squicciarini & Nachtigall) | AI skill demand evidence across CA, SG, UK, US (2021) | 2026-04-20 |
| OECD — Emerging trends in AI skill demand across 14 OECD countries | Skills-based detection: AI vacancies <1% of postings (2019–2022) | 2026-04-20 |
| OECD — AI workforce: supply, demand and characteristics | AI workforce definition (skills × employment) | 2026-04-20 |
| OECD AI — Work, Innovation, Productivity and Skills (WIPS) | Human capital and AI policy observatory | 2026-04-20 |
| U.S. BLS — Data Scientists (OOH) | Median annual wage $112,590 (May 2024); +34% projected growth 2024–2034 | 2026-04-20 |
| U.S. BLS — Software Developers (OOH) | Median annual wage $133,080 (May 2024) | 2026-04-20 |
| O*NET — Data Scientists (15-2051.00) Wages | Wage percentiles (BLS-sourced): p10 $63,650; p90 $194,410 | 2026-04-20 |
| U.S. BLS — OEWS May 2024 (news release) | Occupational Employment and Wage Statistics, May 2024 | 2026-04-20 |
| U.S. BLS — Employment Projections | 2024–2034 employment projections program | 2026-04-20 |
| Government of Canada Job Bank — Data Scientist (national wages) | CAD 30 / 46.15 / 69.74 per hour (low/median/high; 2023–2024) | 2026-04-20 |
| OECD — AI skills and capabilities in Canada | Canada-specific AI skill diffusion analysis | 2026-04-20 |
| Singapore MOM — Occupational Wages Tables 2024 | Landing page for OWS 2024 release (released 2025-08-07) | 2026-04-20 |
| Singapore MOM — OWS Coverage and Methodology 2024 (PDF) | Wage definitions: basic vs gross; coverage (≥25 employees, FT residents) | 2026-04-20 |
| Singapore MOM — OWS Table 4 (XLSX, all industries June 2024) | Data scientist median monthly basic SGD 8,992 | 2026-04-20 |
| data.gov.sg — Labour Force in Singapore 2024 | Labour force context for Singapore | 2026-04-20 |
| UK Skills England — Data Scientist Occupational Map (OCC0585) | Median £49,873/year; SOC 2020 sub-unit 2433/04; KSBs | 2026-04-20 |
| ONS — SOC 2020 standard occupational classification | UK occupational classification framework | 2026-04-20 |
| ONS — Employee earnings in the UK: 2024 | Annual Survey of Hours and Earnings 2024 | 2026-04-20 |
| CSO Ireland — Earnings Analysis 2024 (sector page) | Median weekly earnings by economic sector (admin data) | 2026-04-20 |
| ILO — ISCO-08 Classification of Occupations (Vol. 1 PDF) | International Standard Classification of Occupations | 2026-04-20 |
| ILO — Methodological issues in online labour market data | Bias and representativeness considerations for online postings | 2026-04-20 |
| DataHub Core Datasets — PPP | PPP conversion factors (sourced from World Bank ICP) | 2026-04-20 |
| World Bank API — PPP conversion factor (UK example) | World Bank ICP PPP factor (JSON, last updated 2025-12-19) | 2026-04-20 |
| EUR-Lex — EU AI Act (Regulation 2024/1689) | Annex III classifies recruitment/selection AI as high-risk | 2026-04-20 |
| European Commission — AI Act Service Desk: Annex III | Employment-related high-risk AI classifications | 2026-04-20 |
| EUR-Lex — Pay Transparency Directive (2023/970) | Transposition deadline 2026-06-07; salary range disclosure pre-employment | 2026-04-20 |
| Colorado DLE — Equal Pay for Equal Work Act | Colorado salary range disclosure law (2021) | 2026-04-20 |
| NYC Council — Local Law 32 of 2022 (text) | NYC pay transparency law text | 2026-04-20 |
| NYC Council — Salary Transparency (compliance page) | NYC salary transparency enforcement and compliance | 2026-04-20 |
| WEF — Future of Jobs Report 2025 | Employer-survey based; AI/ML specialists among fastest-growing | 2026-04-20 |
| WEF — Press release (78M net new jobs by 2030) | Headline projection: 78M net new jobs; 22% disruption | 2026-04-20 |
| WEF — Fastest-growing and declining jobs | AI/ML specialists ranked among fastest-growing roles | 2026-04-20 |
| Pew Research — Methodology for O*NET analysis (AI and jobs) | Methodology reference for AI exposure analysis | 2026-04-20 |
| ILO — ISCO website (overview) | International standard classification context | 2026-04-20 |
| Alice Labs — Talent & Compensation Scoreboard (CSV) | Machine-readable dataset (26 indicators) accompanying this report | 2026-04-20 |
| Alice Labs — Talent & Compensation Scoreboard (JSON) | Machine-readable dataset (JSON), CC BY 4.0 | 2026-04-20 |
Version History
Initial public release — 80 curated public sources, 26-indicator scoreboard (CSV + JSON), 12 key findings, 15 citation-grade structured claims, 9-chapter narrative (definitions, demand, role taxonomy, compensation benchmarks for US/CA/SG/UK, EU regulatory layer, how-to benchmark guide, claims, recommendations, FAQ), 8 advanced visualizations (cross-country posting share, wage benchmarks, wage distribution, role taxonomy map mapped to ISCO/SOC, employment-AI regulatory timeline, skills demand radar, readiness checklist, methodology dashboard), Quick Answer block + TL;DR for AI extractability, 10-question FAQ, JSON-LD graph (Report + Dataset + HowTo + FAQPage + Person + Organization + BreadcrumbList), CC BY 4.0 dataset. Authored by Linus Ingemarsson (Co-Founder, Alice Labs).