AI disruption risk by industry

    Explore how AI disruption risk and opportunity differ across industries, with sector-specific analysis of business-model pressure, AI opportunity and resilience.

    Manufacturing

    Production, supply chain, quality and maintenance exposure.

    Explore manufacturing

    Retail

    Customer journeys, merchandising, operations and margin pressure.

    Explore retail

    Professional Services

    Knowledge work, delivery models and client expectations.

    Explore professional services

    Construction

    Planning, estimating, project delivery and site operations.

    Explore construction

    Logistics

    Routing, fulfilment, fleet operations and network economics.

    Explore logistics

    Financial Services

    Analysis, service, operations, controls and business-model change.

    Explore financial services

    Legal

    Research, drafting, matter delivery and changing client expectations.

    Explore legal

    Property

    Valuation, transactions, management and customer service.

    Explore property

    Healthcare

    Administration, clinical support and operational capacity.

    Explore healthcare

    IT Services

    Service delivery, support automation and changing client demand.

    Explore it services

    The current benchmark library contains 131 industry-sector baselines and 14 higher-level macro-sector baselines. These are separate benchmark populations, giving 145 entries in total.

    Track how sector benchmarks change

    The AI Disruption Index preserves published releases so you can compare genuine historical changes across sectors.

    Explore the index

    Understand the method behind the assessment

    Read how public research, sector baselines, opportunity and resilience are used before running an assessment.