Who AI Will Replace, Reshape, and Leave Alone in Hospitality

Guest preferences for automation vary significantly by region. Business heavy markets in Europe and North America lean toward automation, while the Gulf and Far East tend to favor human interaction, partly driven by lower trust in technology.

Regardless of hotel tier, certain roles will always remain in human hands, e.g., chefs, spa therapists, maintenance engineers, duty managers, and any function centred on safety, emotional intelligence, or complex judgment. These are non-negotiable.

In 4 star properties and below, where cost pressures are sharpest, AI's greatest value lies in automating backoffice and offpeak trasnactions and functions, allowing these properties to stay competitive from a labor cost perspective without compromising service quality.

In 5 star hotels and resorts, AI becomes an amplifier rather than a replacement. The best staff become even better, such as butlers who already know your preferences before you arrive, concierges who anticipate rather than react. Guest facing roles are enhanced by AI driven insight, while backoffice transactional processes are steadily replaced altogether.

The consistent thread across all tiers is this: AI replaces volume based and transactional tasks, reshapes coordination and support roles, and leaves untouched anything rooted in physical presence, genuine human connection, or judgment that no algorithm can replicate.

Replace - very junior level "support" roles who mainly answer "how do I do this" type of questions. AI agents will be trained on SOPs and do this. Help desk staff can be reduced or upskilled for more complex work.

Reshape - Contact Center Agents: As above, simple questions can be answered by AI Agents, and an AI powered PBX will answer the phone for high volume restaurants and make the bookings on a phone call via integration to table booking system, and send confirmation by SMS or WhatsApp. This leaves the agents more time to work on more complex bookings and respond faster. Also software developers, they code less and manage the agents doing the coding.

Leave Alone - No one will be left alone, everyone will be impacted in some way whether they are aware of it or not, directly or indirectly.

AI won’t replace hospitality, but it will reduce the number of people needed to run it.

In the next 3 years, we’ll see 30–60% productivity gains across call centers, guest messaging, revenue management, distribution, loyalty, back office, and even parts of development.

This is not just automation, it’s a redefinition of roles. Fewer people, different skills.

Guest experience will remain human, but increasingly AI-augmented.

The real gap? The industry is not fully clear about the impact.

And the winners will be those who have already unified data and simplified processes, the rest will struggle to keep up.

AI is not a tech challenge anymore, it’s an operating model transformation!

I think the biggest visible reductions will continue to be the high-volume, repetitive roles, but at scale and with more confidence than today.

Guest inquiry/messaging teams, call centres, basic reservations are already being augmented but I believe hotels will actively redesign these functions with far fewer people at the core.

Roles that will be reshaped will be middle layer positions such as parts of finance, revenue management or other commercial teams that provide analysis, auditing and reporting. These roles will not go away, but AI will build and analyse reports. These roles will be reshaped to interpret and challenge the results. Their focus will be pushed towards strategic thinking rather than simply reporting.

Roles that will remain longer will be anywhere that emotion, trust, or judgement is needed, where things are not standard. Roles such as guest relations, sales or owner relations; anywhere that a personal connection or relationship is needed to engage or to be built.

Leadership roles, remain important with a shift towards strategy, direction and ensuring the hotel remains relevant, rather than just managing day-to-day operations.

Honesty on the impact of AI will grow as confidence grows. As AI proves to be reliable, teams will be reshaped around it.

Let me share an honest view, not a comfortable one.

The roles that will change first are not at the front desk. It's the middle layer. The coordinator, the analyst, the supervisor whose main job is to move information between systems and people. Revenue management, back-office reconciliation, first-level guest support. That layer will be automated. Not augmented. Automated.

What we have seen so far is mostly cosmetic. Chatbots answering FAQs, AI-generated SOPs, trip planning assistants. These are tools, not agents. The real shift happens when AI has actual agency, when it can autonomously manage reservations, handle billing, assing rooms, process refunds. The full operational stack, running without human intervention.

And when that happens, the front desk role does not disappear. It transforms into something the industry lost a long time ago: genuine hospitality. No friction, no bureaucracy, no processes to manage. Just people taking care fo people.

For those of us who always believed hospitality deserved to be reimagined and not just optimized, this is the moment we have been waiting for.

The technology is finally ready. The question is whether we are.

Jobs consist of discrete tasks and AI today can reliably automate, augment, and agentically assist humans with completing some of those tasks. That said, I don't foresee AI leading to significant reductions in hotel staff in the near term. I am, however, closely watching the advancements in humanoid robots - Figure, Tesla Optimus, Boston Dynamics, etc. - as they could prove compelling in back-of-house operations.

At Sage we like to say that we are unapologetically not an AI-first company, as AI-first implies humans second and hospitality is a human-first, experience-driven industry. Our hotel and restaurant leaders exemplify the best human qualities of critical thinking, creativity, curiosity, and collaboration. As such, we endeavor to find novel ways for our property leaders to spend at least 80% of their time in front of people and not screens.

To achieve this aspirational goal, we rely on a comprehensive AI toolkit consisting of ChatGPT, Claude, and Google's NotebookLM, in addition to forward-thinking technology partners such as Box, Ramsi, Pico, and Snowflake. This portfolio approach to AI allows us to remain nimble and focused.

Over the next three years, it’ll become even clearer that AI is more than an assistant. It will remove repetitive tasks—reservations, basic guest queries, first-line support—shrinking those teams. Roles won’t disappear, but they will evolve: revenue analysts will move into strategic territory as AI tackles the routine.

Leaders must prepare teams for that shift, upskilling them to handle more complex, high-value tasks. At the same time, brand identity and genuine hospitality must remain intact. This isn’t just cost savings; it’s about delivering more meaningful value. AI will remove tasks, but it can’t replicate human trust, creativity, and judgment. Our success depends on evolving with honesty, preparing teams to thrive, and amplifying the human moments that define hospitality.

This evolution presents new opportunities; we are moving towards AI agents that can coordinate and execute tasks with minimal human oversight. Since COVID, the biggest change in the industry has been structural scarcity rather than excess labour. The main opportunity lies in boosting productivity and deriving greater value from existing resources. Many people are unaware that using AI is about enhancing, not replacing, human work. AI concierge systems could serve as an operational layer, equipped with a knowledge base about the hotel. Some roles where I think AI excels due to their repeatable, rules-based nature: Reservations & Call Centre Agents, where AI is increasingly replacing these roles by handling booking modifications, FAQs, and upselling with more consistency/tone of voice than humans. Front Desk Roles, especially in city/business hotels, will be reduced by AI-enabled mobile check-in, digital keys, and kiosks, reducing the need for in-person interactions. AI can manage pre-arrival messaging, room assignments, and basic guest requests. Revenue Management Analysts where AI could outperform humans in pricing optimisation, demand forecasting, and competitor tracking, shifting from decision support to decision-making.

The roles that shrink first are where the work is repetitive, rule-based, and doesn't benefit from a human touch. Contact center teams, back-office finance, revenue management analysts, and coordinator-level roles in sales and marketing will be significantly reduced. Not through dramatic layoffs, but quiet attrition: people leave, AI absorbs the work, and the headcount doesn't come back. We're already seeing this in our consulting engagements. AI voice agents are measurably shrinking contact center teams today in production. If the role is human middleware between two systems, it's going away.

What gets reshaped? GMs, revenue strategists, and operations leaders won't disappear, but their work shifts from execution to judgment, culture, and stakeholder management.

What stays human longest? Physical work in unstructured environments like housekeeping, maintenance, and banquet operations. Hotels aren't factories; robotics remains years behind AI software in spaces that are unpredictable by design. Complex emotional labor such as personalized care and high-stakes guest moments. And luxury service, where the absence of automation becomes the premium.

Are we being honest? No. We're building infrastructure that permanently reshapes staffing models while telling our teams nothing fundamental is changing. And the question nobody's asking: if entry-level roles disappear, where do future leaders come from?

I think the impact will be minor. Hospitality is about people-to-people interactions. If you just want a sad pint and a pizza on your sofa, then use Deliveroo.

Everyone is using Gen AI for wordsmithing, SEO, composing emails, and analysing guest feedback. Useful, but not transformative. Predictive AI (pattern matching) has been in OCR, RPA, ANPR, and Revenue Management for a decade. Group Sales can use RFP completion tools which will have an element of Gen AI, but it doesn’t replace them. Chefs can use Gen AI to tart up their menus, but it doesn’t replace them. Finance uses RPA for invoice reconciliation, but we still need some AP/AR people.

I’ve been trying to find real examples of “Agentic AI” in hospitality over the last few months and have come up short. Marriott is in “deep discovery”. Hilton has an “AI planner” in beta.  Wyndham has a bot to reduce franchisee calls about brand standards and uses Canary Tech to deflect guest calls. Golden Nugget is using PolyAI and 14IP to turn guest calls into bookings. The latter two seem real, so extending this will mean fewer Res/Contact Centre agents, as was the main RoI of the dotcom period. Yawn.

Over the last 18 months, AI has clearly moved from concept to execution in hospitality. We are seeing real use cases across guest messaging, call centres, revenue management and back-office operations. That said, the impact is not happening at the same speed everywhere. In franchise-driven environments, where brands, systems and ownership structures add complexity, adoption is naturally more gradual.

Looking ahead, I don’t see a sudden replacement of roles, but rather a steady compression of certain functions. Guest communication, reservations and first-line support are the most exposed. The same applies to administrative areas in finance and HR, where automation is already delivering tangible efficiency gains. Revenue management is also shifting, with fewer pure analysts and more oversight of automated decisions.

On the other hand, hospitality remains a people business. Front office, sales and guest experience roles will evolve, but not disappear—especially in higher-end segments where human interaction is part of the value proposition. Leadership and operational roles will also remain largely human for the foreseeable future.

If there is a gap, it is in how openly we talk about this internally. The real change is not about replacing people, but about simplifying structures and rethinking how support functions operate.