Stock Markets February 9, 2026

Services-as-Software: The AI-Driven Shift That Could Recast the Global Services Market

Bernstein flags a rapid move from human-delivered services to AI-powered software offerings, with large market projections and material implications for providers

By Avery Klein
Services-as-Software: The AI-Driven Shift That Could Recast the Global Services Market

Bernstein analyst Richard Nguyen describes Services-as-Software as an emergent model that will shift how services are delivered and purchased: customers pay for outcomes delivered by AI-first software rather than for hours of human labor. The change is expected to accelerate through 2028 and could lift revenue growth and margins for providers that adapt, while significantly reallocating IT budgets.

Key Points

  • Services-as-Software shifts delivery from people to AI-powered software and charges for outcomes rather than labor hours - impacts IT, consulting and enterprise software sectors.
  • Bernstein reports that 60% of enterprises plan to replace people-run services with software-run services by 2028, citing AI advances, contract renegotiation and greater in-sourcing as drivers - affects corporate procurement and vendor strategy.
  • Market estimates vary but point to a large opportunity: Gartner cited a rise to up to $700bn by 2028 from less than $20bn in 2025; HfS Research projects $600bn in 2028 and $1.5tn by 2035 - implications for service providers and IT budget allocation.

Bernstein analyst Richard Nguyen has set out a thesis he says will materially alter the structure of the global services industry over the coming years: a model he and his team call Services-as-Software. In a client note published on Monday, Nguyen described the concept as "an emerging trend that will profoundly transform the business model of services providers, and reshape the competitive landscape, over the next 3-to-5 years."

At its core, the model replaces traditional, labor-intensive service delivery with solutions delivered "primarily through AI-powered software rather than through traditional human-delivered work," Nguyen wrote. Under this approach, buyers pay for outcomes rather than for billed hours of labor, changing the metric and economics of engagement.

Bernstein highlighted several catalysts for the shift. The firm pointed to survey-backed intent among enterprises, saying "six enterprises out of ten plan to replace people-run services with software-run services by 2028." That aim is being propelled, the note says, by advances in artificial intelligence, by contractual re-negotiations, and by greater in-sourcing.

The potential opportunity is presented as sizable. Citing market research, Bernstein referenced a Gartner estimate that the sector could expand to "up to $700bn by 2028 from less than $20bn in 2025." Separately, the firm noted HfS Research projections of revenues of "$600bn in 2028, and $1.5tr by 2035." Bernstein also flagged a prospective budgetary shift: Services-as-Software could account for 20% of IT spend by 2028, versus zero today.

For incumbent service providers, Bernstein set out operational priorities. Companies will need to reorganize their employee base to include digital workers - referred to as AI agents - alongside human staff. Providers should also "move up the value chain to incorporate more consulting and intellectual property in their software-based offerings," the note advised.

Bernstein framed the financial upside as meaningful for adopters. The firm models revenue growth of "30%-plus" for successful transitions, with potential margin expansion driving gross margins to "65-70%" and operating margins to "15-25%."

On competitive positioning, Bernstein identified select firms as relatively well placed for the change. The analyst singled out companies such as Capgemini and Reply as appearing "relatively well-positioned" to benefit from the move toward Services-as-Software.

The note also included a market-facing prompt referencing the ticker CAPP in the context of valuation tools, but did not make further claims about that specific security within the analysis.

Risks

  • Timing and adoption uncertainty - the projection that six in ten enterprises will replace people-run services by 2028 is an intent-based estimate and contingent on execution and adoption dynamics; this creates uncertainty for firms planning large strategic shifts - impacts service providers and enterprise IT buyers.
  • Execution risk for providers - firms must reorganize workforces to integrate digital workers (AI agents) alongside humans and add consulting and intellectual property to software offerings; failure to do so could leave providers exposed to competitive pressure - impacts consulting and outsourcing firms.
  • Divergent market size estimates - Gartner and HfS Research offer differing revenue scenarios for the space, indicating uncertainty around the ultimate market scale and timing; this affects valuation and investment decisions in the sector.

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