Thursday November 5, 2026 2:30 pm
Thursday November 5, 2026 2:30 pm
Fitch Ratings-London: Business process outsourcing (BPOs) faces the highest AI replacement and insourcing risks among services sectors globally, Fitch Ratings says in its Artificial Intelligence Stress Test report. AI replacement risk challenges BPOs’ traditional revenue model, which is based on the outsourcing of non-core, repetitive workflows, billing by the hour and offshore staff operating at high utilisation.
We assign BPOs a sector score of 80 under our adverse scenario. This scenario assumes AI intensifies competition, reduces prices and encourages clients to insource automated activities. AI is already able to replicate standardised, repetitive and rules-based workflows in accounting, payroll, customer service, sales and marketing, back-office and document handling. Companies can use AI support in-house to oversee customer service, fund administration and back-office processes. This would reduce the addressable market for BPOs, many of which are structured as leveraged buyouts, and impair their ability to deleverage.
However, incumbent BPOs retain important advantages. Their services are often deeply embedded in client workflows, and they have insight into customer workflows and can use AI to improve delivery, lower costs and gain market share. Providers serving critical or regulated activities, where the cost of failure is high, should be better protected than those providing more generic services. Company success or failure will rest on individual attributes, such as use of advanced technologies and organic growth delivery.
Insurance brokers, IT services and professional services also face higher AI replacement risk among diversified services sectors globally, with a score of 60. In each case, AI could automate routine tasks, increase price competition and reduce the value of labour-based delivery models.
Insurance brokers face potential disintermediation as digital marketplaces, embedded distribution and AI-enabled advice tools become more widely used. The risk is greater in standardised products such as personal lines, and small and medium-sized enterprise business. Complex commercial and specialty insurance should remain more resilient, as clients continue to value advice, negotiation and specialist expertise. The largest global insurance brokers are partially insulated from the adverse scenario given their scale, and significant end-market and geographic diversification.
IT services providers could face pricing pressure in application maintenance, infrastructure support, testing, monitoring and service-desk activities. Customers may demand that productivity gains from AI be passed through in lower contract values. Providers with exposure to legacy outsourcing and less differentiated services are more vulnerable than firms with complex integration capabilities or mission-critical managed-services relationships.
Professional services firms face similar pressure on junior-staff-intensive activities, including research, standardised advisory, compliance and process work. AI-native competitors and greater insourcing could reduce demand for conventional pyramid-based staffing models. However, trust, third-party independence, implementation capabilities and executive-level advice should continue to support higher-value services.
Data and analytics, testing, inspection and certification, and fintech have stronger defences, with sector scores of 40, 40 and 30, respectively. Proprietary data and insights, regulatory requirements, trusted brands, workflow integration and scale support these sectors’ resilience. AI may pressure less differentiated products, but it can also enhance product offerings and operating efficiency.
Physical and locally delivered services have the lowest score, at 20. AI can improve scheduling, route planning and operational efficiency, but it is less able to replace work that remains physical, local and variable. AI-enabled robotics could have a material impact on how these services are delivered but we have not yet seen any broad development in this area. Credit implications for the sub-sector are likely to be limited over the next five years, although providers with weak digital infrastructure may lose market share.
A significant portion of Fitch-rated service issuers are leveraged ‘B’ category credits. If AI-related disruption weakens terminal values at selected services firms, debt capacity may tighten, increasing liability-management and refinancing risks.