The AI Economics Analyst is an emerging analytical role that addresses a critical gap in enterprise AI programmes: the rigorous measurement of whether AI investment is actually creating economic value. As AI spend grows to represent a meaningful share of technology budgets, boards and CFOs are demanding evidence — not anecdotes about productivity gains, but auditable measurement frameworks that show what AI is worth. This role sits at the intersection of economics, data science and business strategy — applying economic reasoning and quantitative methods to AI investment decisions, value measurement and portfolio optimisation. Role & Responsibilities: • Build AI value measurement frameworks: defining the economic metrics that matter for each AI use case, designing measurement methodologies that capture both direct and indirect value • Measure AI ROI across the enterprise portfolio: tracking productivity gains, cost reductions, revenue impacts and risk reductions attributable to AI — with statistical rigour that withstands CFO scrutiny • Build AI investment business cases: modelling costs, benefits, risks and timelines for proposed AI initiatives — providing the quantitative foundation for capital allocation decisions • Design controlled experiments for AI value measurement: A/B testing frameworks, before-and-after studies and quasi-experimental designs that isolate the effect of AI from confounding factors • Analyse AI cost structures: compute costs, model costs, data costs, human oversight costs and infrastructure costs — building unit economics models that enable AI portfolio optimisation • Produce AI economics reporting for executive stakeholders: translating complex measurement into clear executive narratives about AI value, with honest uncertainty quantification • Research AI economic impacts: staying current with academic and industry research on AI productivity effects, labour market impacts and competitive dynamics • Build the AI economics data infrastructure: working with data engineering teams to instrument AI systems for value measurement, creating the data pipelines that enable ongoing economic monitoring Required Skills & Experience: • 5+ years of economic analysis, management consulting or quantitative strategy experience • Strong quantitative skills: econometric methods, causal inference, A/B testing design and statistical analysis — applied to business problems • Python or R proficiency for data analysis, modelling and statistical testing • Experience building business cases and investment models that have been approved and executed • Understanding of AI systems: you know enough about how AI works to build credible cost models, identify measurement challenges and assess vendor ROI claims critically • Economics, finance, statistics or quantitative social science background preferred • Experience in technology investment analysis or VC/PE technology due diligence is a strong advantage What We Offer: • Specialist analytical role with board-level visibility • Salary £80,000–£105,000 based on experience • Remote-first with executive stakeholder engagement • Direct partnership with CAIO, CFO and corporate strategy The AI Economics Analyst is the person who answers the question every CFO is asking: what is AI actually worth? If you have built rigorous value measurement frameworks for technology investment and can translate economic analysis into board-level decisions, this role is yours.
Remote · UK / US | £80,000–£105,000