The structural maths behind 2026 procurement planning is unusually sharp. The Hackett Group’s 2026 Procurement Agenda and Key Issues Study reports an expected 8% increase in workload across the procurement function, set against a 0.9% reduction in headcount and a 0.4% reduction in operating budget. Hackett quantifies the result as an 8.9% productivity gap from short-staffing and an 8.4% efficiency gap from budget compression: roughly 17 percentage points of combined pressure on a function that already runs lean (The Hackett Group, 2025).
For hospitality operators, the question is not whether the gap is real. The question is which lever closes it. This post examines the two dominant pathways available to multi-property procurement teams in 2026: absorbing the load through automation inside the existing procure-to-pay stack, or absorbing it through managed services and procurement BPO partnerships. We argue that the choice is structural, not ideological, and that procurement automation hospitality leaders adopt should be evaluated against a clear outsourcing alternative rather than in isolation.
Procurement automation hospitality leaders are actually evaluating
The headline response inside the Hackett dataset is technology spend. Procurement organisations plan to raise technology investment by 6.1% in 2026, with AI-enabled technology and operating-model transformation entering the top tier of strategic priorities for the first time (The Hackett Group, 2025). The bet is that embedded automation, including agentic AI inside requisitioning, sourcing, contract authoring, and invoice handling, will create enough capacity to absorb the workload increase without proportional headcount growth.
The benchmark evidence supporting that bet is now more concrete than it was two years ago. Hackett’s Digital World Class procurement cohort operates with 31% fewer full-time employees and 19% lower cost as a percentage of spend than the peer average, while spending 1.8 times more on procurement technology and delivering 2.6 times higher ROI (The Hackett Group, 2025). McKinsey’s parallel analysis of agentic procurement models suggests efficiency gains of 25% to 40% when AI is embedded inside a redesigned operating model rather than layered on top of existing workflows, with autonomous category agents alone contributing 15% to 30% (McKinsey & Company, 2025).
For a hotel group running a centralised procurement function across 30 to 150 properties, the implication is direct. The structural gap between branded and independent operator productivity has been documented for years. Automation is the lever that closes it without adding headcount the operating budget will not support.
The outsource-to-absorb alternative
The other pathway is mature, well-instrumented, and growing. Everest Group’s 2025 Procurement Outsourcing Services PEAK Matrix assessment covers 25 procurement BPO providers and reports that the category has moved from experimentation to operationalisation of generative and agentic AI inside their delivery models, with providers embedding these capabilities into autonomous sourcing, intake management, contract authoring, and spend analytics (Everest Group, 2025). The market is also expanding: ISG’s 2025 index data shows continued contract activity in business-process services even as labour-centric services come under pricing pressure, with ISG forecasting a managed-services rebound in 2026 driven by enterprise transformation tied to AI adoption (ISG, 2026).
The hospitality segment, specifically, sits inside a procurement-services market that independent research estimates at roughly $25 billion in 2024, growing at approximately 7% annually through the end of the decade (Market Report Analytics, 2025). The category includes group purchasing organisations, transactional outsourcing of tail spend, and full-service managed procurement engagements.
What the outsourcing pathway buys is straightforward: variable-cost capacity, a delivery centre that can flex around seasonality, and a faster on-ramp to AI-enabled procurement than an internal build. What it does not buy, in our view, is structural ownership of the operator’s catalog, supplier, and approval logic. That asymmetry matters more in hospitality than in industries with simpler buying patterns.
Where the two pathways actually diverge
The automate-versus-outsource choice is often framed as cost arbitrage. In our view, that framing misses the more important distinction, which is who owns the operating model.
Automation, done seriously, requires the operator to keep ownership of catalog structure, supplier hierarchy, approval logic, and the data model that ties property-level purchasing to group-level compliance. The work is harder upfront. The strategic asset that results, however, stays inside the organisation and compounds. The Digital World Class cohort’s labour-cost advantage is not an accident: it reflects sustained investment in technology, data, and process design that the operator owns (The Hackett Group, 2025).
Outsourcing, in contrast, transfers operational execution to a partner who runs that execution across many clients. Done well, it produces immediate capacity and access to AI tooling the operator cannot economically build. Done poorly, it ossifies the operator’s procurement model around the partner’s templates and limits the operator’s ability to change direction when the underlying business changes: a property acquisition, a new region, a shift from branded to independent operating mode, a new e-invoicing mandate.
For multi-property hospitality operators in particular, the asymmetry is meaningful. Hotel groups that grow through M&A inherit heterogeneous supplier portfolios and catalog conventions. The integration work of harmonising those portfolios is procurement work, not back-office work, and it benefits from being close to the operator’s own catalog logic. We have argued this point separately in our analysis of PMS-versus-P2P system-of-record decisions for hospitality groups.
A pragmatic decision frame
The honest answer is that most hospitality operators in 2026 will need both, but in different shares depending on the maturity of their existing P2P platform.
Operators with a modern P2P platform already in place. The marginal return on procurement automation hospitality teams already operate is high, because the workflow surface is instrumented and the data is in good order. McKinsey’s range of 25% to 40% efficiency gain from embedded AI applies most directly to this cohort (McKinsey & Company, 2025). Outsourcing in this scenario should be reserved for tail spend and transactional volume where in-house economics genuinely do not work.
Operators without a modern P2P platform. The automation pathway is longer because the prerequisite data and workflow infrastructure has to be built first. Managed services and BPO partnerships can bridge the capacity gap during the build phase, but the strategic risk is real: a multi-year outsourcing engagement signed without a parallel platform investment tends to delay rather than enable in-house capability. We have discussed the related risk in our note on the procurement AI pilot-to-production gap.
Operators with high e-invoicing exposure across European jurisdictions. The 2026 PEPPOL and ViDA timelines change the cost-benefit calculation for both pathways: any partner, internal or external, has to handle multi-format mandate compliance natively. We covered this terrain in detail in our analysis of PEPPOL adoption for hospitality e-invoicing in 2026.
Closing the 17-point gap
The Hackett productivity-and-efficiency gap is not a forecast about technology adoption. It is a structural pressure on the procurement operating model. Closing it requires capacity that the operating budget will not pay for and the headcount line will not provide.
In our view, the most defensible 2026 posture for hospitality procurement organisations is a sequenced one: invest in embedded automation inside the P2P stack as the primary capacity-creation lever, retain ownership of the catalog and supplier model, and use managed-services partnerships selectively for tail spend, regional surge capacity, and processes where AI tooling is not yet economic to operate in-house. The choice is not automate versus outsource. The choice is which lever the operator places at the centre of the operating model, and which lever stays in support.
The procurement capacity gap is the test 2026 will set. The operators who treat it as a strategic redesign rather than a budget exercise will be the ones who emerge from it with a procurement function that has actually scaled.