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AI Exposure & Malta's Labour Market

The recently released report by Anthropic on the labour market impact of AI makes for ... interesting reading.(Anthropic 2026).

Anthropic’s report is focused on the US job market. I map the findings to Malta’s.

Malta’s economy is heavily exposed to AI displacement risk.

55–60% of the workforce in occupations with  medium-to-high  AI exposure.
Top 3 AI-exposed sectors are the largest and fastest-growing employment sectors.
10,000+ work in the iGaming sector... a sector that sits squarely in the crosshairs.
AI Exposure Tier Estimated Workers Share of Workforce Key Sectors Policy Priority
HIGH (>20% observed exposure)
91,500 27.1% ICT/iGaming, Financial Services, Professional Services, Admin/Support CRITICAL: Reskilling programs, AI literacy training, SME adoption support. Monitor youth hiring rates in these sectors.
MEDIUM (8–20% observed exposure)
98,000 29.1% Public Admin, Education, Wholesale/Retail, Arts/Entertainment, Management IMPORTANT: AI augmentation strategy. Focus on productivity gains rather than displacement. Upskill for human+AI collaboration.
LOW-MEDIUM (3–8% observed exposure)
53,000 15.7% Healthcare, Architecture/Engineering, Social Services MODERATE: Monitor for rising automation in diagnostic/analytical subtasks. Support incremental AI adoption.
LOW (<3% observed exposure)
85,734 25.4% Tourism/Hospitality, Construction, Transport, Manufacturing, Personal Services LOW PRIORITY for displacement but OPPORTUNITY for efficiency gains. These sectors face labour shortages that AI cannot yet address.
NONE/MINIMAL
9,000 2.7% Agriculture, Fishing No action needed. Physical outdoor work remains beyond AI scope.

In Anthropic’s data (Computer and Math at 33% observed / 94% theoretical, Business and Financial at 26% / 86%, Office and Admin at 24% / 90%) map directly to Malta’s largest and fastest-growing employment sectors: ICT, financial services, professional services, and admin/support services.

The iGaming sector a unique pillar of the economy employing 10,000+ people across software development, customer support, compliance, and marketing — sits squarely in the crosshairs. Computer programmers (74.5% observed exposure), customer service reps (70.1%), and financial analysts (65%) are the top-exposed occupations nationally.

Occupation data

The below table maps the SOC occupational categories used by Anthropic to the ISCO-08 standard used by the NSO.

SOC Major Group (Anthropic Report)Theoretical Exposure (β)Observed ExposureISCO-08 Major GroupISCO Group NameMalta Employment (Q3/2025 est.)Malta Share of TotalAvg Monthly Salary (€)AI Exposure TierMalta-Specific Notes
Computer & Mathematical94%33%2Professionals (ICT subset)18,5005.5%€2,800HIGHIncludes igaming software devs, IT professionals. Malta has ~10K igaming employees, many in tech roles. Computer Programmers top Anthropic's list at 74.5% observed exposure.
Business & Financial Operations86%26%2Professionals (Business/Finance subset)28,0008.3%€2,900HIGHFinancial analysts (65% exposed), accountants, compliance officers. Malta's financial services sector is a major employer. Shortage occupation per EURES.
Office & Administrative Support90%24%4Clerical Support Workers30,0008.9%€1,650HIGHData entry keyers (67% exposed), secretaries, general office clerks. Large cohort in Malta across all sectors. Customer service clerks noted as surplus occupation.
Management70%18%1Managers33,0009.8%€3,467MEDIUMMalta's manager category is large given SME-heavy economy. Avg salary €3,467/month (highest). Moderate exposure as strategic/interpersonal tasks less automatable.
Arts, Design, Entertainment, Sports, Media75%17%2Professionals (Creative subset)8,0002.4%€2,200MEDIUMWriters, graphic designers, content creators. igaming marketing teams heavily represented. Copywriters show high augmentation patterns.
Legal80%14%2Professionals (Legal subset)5,5001.6%€3,100MEDIUMLegal professionals in shortage per EURES. Compliance roles critical to igaming/fintech. Theoretical exposure high but practical deployment limited by regulation.
Education, Training & Library65%12%2Professionals (Education subset)22,0006.5%€2,400MEDIUMTeachers and lecturers. Large public sector employer in Malta. Low automation risk — AI augments lesson planning but doesn't replace classroom management.
Sales & Related60%15%5Service & Sales Workers (Sales subset)25,0007.4%€1,800MEDIUMRetail sales, real estate agents, insurance sales. Service & sales is the largest ISCO group in Malta. Partial exposure through automated customer interactions.
Healthcare Practitioners & Technical50%8%2Professionals (Health subset)15,0004.4%€2,700LOW-MEDIUMDoctors, nurses, pharmacists. Healthcare is a growing sector in Malta (+1,426 FT jobs YoY in May 2025). Physical/diagnostic tasks limit AI displacement.
Community & Social Service55%7%2Professionals (Social subset)5,0001.5%€2,100LOW-MEDIUMSocial workers, counselors. Human-centric roles with limited automation potential.
Life, Physical & Social Science70%10%2Professionals (Science subset)3,0000.9%€2,600MEDIUMResearchers, environmental scientists. Small but growing in Malta's pharma/biotech sector.
Architecture & Engineering65%9%2Professionals (Engineering subset)8,0002.4%€2,700LOW-MEDIUMCivil engineers, architects. Construction is a major Malta sector. Physical site work limits AI impact.
Protective Service30%3%5Service & Sales Workers (Protective subset)7,0002.1%€2,000LOWPolice, security guards, military. Physical presence required. Minimal AI exposure.
Food Preparation & Serving20%2%5Service & Sales Workers (Food subset)18,0005.3%€1,400LOWChefs, waiters, bartenders. Tourism-driven in Malta. Dishwashers, bartenders have zero observed exposure per Anthropic.
Healthcare Support35%4%3Technicians & Assoc. Professionals (Health subset)8,0002.4%€1,700LOWNursing assistants, home health aides. Physical care tasks not automatable.
Construction & Extraction15%1%7Craft & Related Trades Workers20,0005.9%€1,600LOWConstruction workers, electricians. Building trades in surplus per EURES. Purely physical work.
Installation, Maintenance & Repair25%3%7Craft & Related Trades Workers (Maint.)10,0003.0%€1,700LOWMotorcycle mechanics have zero exposure per Anthropic. Hands-on diagnostic/repair work.
Production30%5%8Plant & Machine Operators12,0003.6%€1,500LOWFactory workers, machine operators. Malta's small manufacturing sector.
Transportation & Material Moving20%2%8Plant & Machine Operators (Transport)12,0003.6%€1,500LOWBus/truck drivers, delivery workers. Physical movement tasks.
Building & Grounds Cleaning/Maint.10%1%9Elementary Occupations15,0004.4%€1,336LOWCleaners, landscapers. Dressing Room Attendants have zero exposure. Elementary occ. have lowest salary in Malta (€1,336).
Farming, Fishing & Forestry10%0%6Skilled Agricultural Workers3,0000.9%€1,400NONEVery small in Malta. Physical agricultural work like pruning trees is explicitly noted as beyond AI's reach.
Personal Care & Service30%4%5Service & Sales Workers (Personal subset)12,0003.6%€1,500LOWHairdressers, childcare, fitness trainers. Personal service workers in shortage per EURES. Physical/interpersonal roles.

Top 10 exposed occupations

RankOccupation (per Anthropic)Observed ExposureMalta Estimated WorkersMalta Relevant Sector(s)Avg Salary Range (€/mo)Malta Impact Assessment
1Computer Programmers74.5%5,000igaming, IT services, fintech2,500–3,500Malta's igaming sector employs thousands of developers. 74.5% task coverage means AI tooling (Cursor, Copilot, Claude Code) is already touching ¾ of programming tasks. Early-career dev hiring may slow as per Anthropic's youth hiring data.
2Customer Service Representatives70.1%8,000igaming, telecoms, banking, outsourced services1,400–1,800Massive in Malta — call centres and igaming support. 70.1% coverage driven by API-automated inquiry handling. Customer service clerks already in surplus per EURES Malta. Highest near-term displacement risk.
3Data Entry Keyers67.0%3,000Admin services, financial services, government1,200–1,500Primary task (reading source docs, entering data) sees significant automation. These roles are already declining globally. Malta's admin/support sector is large.
4Financial Analysts65.0%2,500Financial services, igaming (revenue analytics), consulting2,800–3,500Malta's financial services hub means significant concentration. Report generation, data analysis, and trend identification all within AI capability.
5Bookkeeping, Accounting & Auditing Clerks60.0%4,000All sectors (cross-cutting)1,800–2,400Transactional accounting tasks highly automatable. Malta's VAT compliance, quarterly reporting cycles make this a prime AI augmentation/automation target.
6Market Research Analysts58.0%1,500igaming, professional services, marketing agencies2,200–3,000Survey design, data analysis, report writing all within AI scope. igaming companies rely heavily on market intelligence.
7Technical Writers56.0%800IT/igaming, pharma, professional services2,000–2,800Documentation tasks show high directive (automated) patterns in Anthropic data. API docs, compliance manuals, user guides all AI-augmentable.
8Insurance Underwriters52.0%1,000Insurance sector2,500–3,200Risk assessment and policy evaluation tasks have high theoretical and observed exposure. Malta's insurance sector is concentrated.
9Paralegals & Legal Assistants50.0%1,200Legal services, igaming compliance, financial regulation1,800–2,500Document review, legal research, contract drafting all AI-capable. Malta's regulatory-heavy igaming/fintech environment creates high demand but also high AI applicability.
10Web Developers48.0%3,000igaming, e-commerce, digital agencies2,200–3,000Frontend and basic web development tasks increasingly automated. Full-stack roles in igaming platforms particularly exposed.

Disclaimer I ran Anthropic’s report through Claude + my prompting. I am not a professional statisician.

But... the data is indicative enough start some serious policy conversations.The challenge will be recognizing the charlatans pretending they understand AI.

Data Sources

  1. Anthropic ‘Labor Market Impacts of AI’ report (Massenkoff & McCrory, March 5, 2026) — provides observed exposure scores for 800 US SOC occupations based on actual Claude usage data from the Anthropic Economic Index.

  2. NSO Malta Labour Force Survey Q3/2025 (published Dec 11, 2025) — provides Malta’s employment totals, occupational distribution (ISCO-08), industry distribution (NACE Rev.2), salary data, unemployment rates.

  3. NSO Malta Registered Employment data (May 2025) — provides NACE-level breakdown of full-time and part-time employment from administrative records (Jobsplus).

  4. Cedefop 2025 Skills Forecast for Malta — provides forward-looking occupation and sector employment projections to 2035.

  5. EURES Malta Labour Market Information (2024) — provides occupation shortage/surplus data.

  6. Eurostat Labour Force Survey data (2024) — provides EU-comparable employment rates and occupational breakdowns.

Anthropic. 2026. Labor Market Impacts of AI: A New Measure and Early Evidence — Anthropic.com. Https://www.anthropic.com/research/labor-market-impacts.