Measuring AI's Economic Transformation

We use a combination of direct revenue from AI companies, indirect economic activity (suppliers, services), induced effects (employee spending), and productivity gains in other sectors attributable to AI adoption. Methodology is reviewed annually by independent economists.

Figures include AI researchers, ML engineers, data scientists, AI product managers, AI ethics specialists, and support roles directly working on AI products. We exclude general tech roles unless 50%+ of work involves AI systems.

Gibraltar's AI GDP share (8.5%) significantly exceeds the EU average (2.3%) and UK average (3.8%), positioning it among global leaders alongside Singapore (9.2%) and UAE (7.8%) for AI economic concentration.

Conservative projections estimate £580M GDP contribution (12% of GDP) and 3,800+ jobs by end of 2027, assuming current growth rates and continued regulatory support. Optimistic scenarios reach £720M and 4,500 jobs.

Investment data combines disclosed funding rounds, GFSC regulatory filings, government grant disbursements, and voluntary reporting from companies. Cross-referenced with international VC databases for accuracy.

Analysis shows net positive job creation. While AI automates some tasks, it creates more high-value positions and enables new business models. Total employment in AI-adopting sectors grew 23% faster than non-adopting sectors.