Tech Confex Verdict: Hospitality's AI Push Hinges on Staff Buy-In, Not Just the Software

The Room That Wasn't Buying It

A full-day gathering of chief information officers, operations directors and general managers at 11 Cavendish Square in central London on 22 September produced three lessons that every operator should pin above their procurement spreadsheet. The headline: deploy technology that colleagues haven't asked for, and you'll watch adoption rates crater in real time.

The warning came from an unexpected corner. Nataly Quinn, head of change and technology adoption at Holland & Barrett, described what she called "tablet-gate": the moment her team shipped out store-assistant tablets to individual shops because rival retailers were doing it, only to hear back from colleagues that the devices "didn't help them, but hindered them." The tablets went in without consultation. Adoption never recovered. Her fix was to recruit customer-facing colleagues as "change champions": frontline testers who used tools iteratively before any company-wide launch and flagged what actually solved a problem rather than invented one. The result: adoption across Holland & Barrett's teams now stands at 97%, against less than 30% for the tablet rollout.

That number carries real weight for hospitality, where the failure mode is identical. Operators rush product decisions, staff ignore the software, and the licence fee bleeds quietly from the P&L.

Accor's Honest Reckoning

Julie White, chief commercial officer at Accor, shared the group's evolving AI strategy from the same stage. The framing her team reached, after embedding AI across operations and guest-facing functions, was deliberately unglamorous: "automate the ordinary and humanise the extraordinary." Strip out the administrative drag, onboarding paperwork, repetitive guest queries, scheduling loops, and the human in the room can actually do the job hospitality hired them for.

Inntelo AI, the event's lead partner and holder of The Caterer Supplier Awards 2026 Innovative Guest Experience title, puts a specific number on that drag. Its AI concierge saves 16 minutes per guest enquiry across hotel teams, with a 97% task-completion success rate in live deployments. The company, backed by Antler, Haatch, Look AI Ventures and the British Business Bank, has built its pitch around the idea that fragmented legacy systems are the structural enemy: not a budget problem but a strategic one, because siloed PMS, CRS, payments and messaging data cannot feed an AI engine that needs clean, consolidated inputs to act.

That diagnosis is now mainstream. ICAEW's October 2026 hospitality industry profile flags legacy technology as "a strategic limitation, not simply an administrative nuisance," and notes that ONS survey findings published the same month show 91% of accommodation and food service businesses expressing concern about energy prices, margin pressure that makes every wasted automation pound more painful.

The Staffing Equation Nobody Has Solved

The wider context is a sector that cannot simply hire its way out of difficulty. UK hospitality vacancies have fallen from a 2022 peak of 177,000 to 71,000 as of the three months to May 2026, but that fall reflects operators cutting hours and closing on quiet days rather than a labour market healing. The CIPD puts the sector's annual staff attrition rate at 52%, against a UK average of roughly 34%, with 40% of hospitality workers moving to another employer in the same sector within a year. Every vacancy costs an average of £6,125 to fill.

Against that backdrop, the Bizimply and Tech on Toast Connected Floor 2026 report, which surveyed more than 150 UK and Irish hospitality operators, found that 75% of respondents identify manager admin time as the biggest hidden cost of disconnected systems. That is precisely the gap automation is supposed to close. The Tech Confex lesson, though, is that closing it requires internal sponsorship, not just a signed contract.

Consumer Pressure from the Other Side

Operators are also being squeezed from the demand side. Zonal's GO Technology report, produced with NIQ and published in October 2026, found that 19% of UK consumers are already using AI tools, including ChatGPT and AI-powered search summaries, to research where to eat and drink, with a further 50% considering doing so. Separate OpenTable research cited by ICAEW suggests 36% of Brits expect to use AI tools more often to find and book restaurants in 2026. A venue with a mediocre digital footprint is now genuinely hard to discover.

Restaurant and pub operators in particular are using AI to speed up sales tracking, inventory management and menu-level food cost alerts. The logic is straightforward: if consumers use AI to find you, and AI running your kitchen can reduce waste and improve margin, the two forces compound rather than compete.

The Trademark Signal

Brand activity in the processed-food category tells its own story about confidence levels. According to AIBD analysis of IPO trademark data, UK Class 29 filings, covering prepared meats, dairy, preserves and processed foods, came in at just 219 in Q4 2026, a fall of 79.1% against the prior period. Whether that reflects delayed product launches or a deliberate pause on brand investment while operators wait for AI-driven demand signals to sharpen, the direction is clear. Fewer new food brands are pushing through the trademark gate right now.

The smarter operators at Tech Confex were asking a related question: not whether to invest in technology, but how to make a case for it that gets past the budget committee and lands on the kitchen floor without being immediately ignored. The change-champion model Quinn brought from retail is, for now, the closest thing the industry has to an answer.

It is not a glamorous solution. But then, neither is 52% annual staff turnover.