The AI "Strategic Choice" vs. Global Hospitality Staffing

United States will never adopt the same ruling. It's a capitalist country where businesses needs (not the government) dictate business actions.

Smart operators will implement automation where it makes sense and where it augments "human touch". Sometimes it will mean replacing humans but that's inevitable.

During industrial revolution, candle makers had to learn a new skill. We're going through the same wave, just on a much larger scale and much faster.

Humans need to adapt, not look at the government to solve their problems.

The classic philosophy in hospitality is that guests require services provided by super nice, smiling, well-trained humans. I believe this philosophy is greatly exaggerated, especially today. A great example of why guests do not care about human-provided services comes from the vacation rental sector.

Today, 20% of roomnights are consumed at vacation rentals/ short-term rentals: houses, villas, condos and apartments. From booking online to the actual stay, the whole experience is completely HUMANLESS!

Many travelers who have experienced this humanless hospitality are prepared to do so at traditional accommodation types such as hotels, resorts, casinos, motels, etc.

There are three extremely important issues plaguing the industry today that need immediate resolution: a) never-ending labor shortages, b) unsustainable labor costs and c) inability to provide adequate services to the exceedingly tech-savvy and DIY (do-it-yourself) customers.

In my view, the future of hospitality is to do more with less personnel. By 2030, thanks to AI, robotization and automation, hoteliers will operate on average with 50% lower staffing levels vs 2019: 75% for budget, economy, extended stay and mid scale and 25%- 35% for 5-star luxury hotels and resorts.

100% humanless hotels like the Otonomus Hotel in Las Vegas or Omena Hotel in Helsinki will thrive.

So far I haven't personally seen AI actually cut jobs. I'm not saying it hasn't but I haven't personally seen it yet. It has however empowered people to do a whole lot more, so it might slow down future hires. But I haven't seen it replace anyone that was hired, unless the person utterly refused to learn how to use AI. But that's a different scenario.

I believe the best parallel for the hotel industry is McDonalds, which replace the entire order-taking counter with kiosks. Converted the people into table service "wait staff". According to a franchisee interview, this didn't reduce headcount, it grew it. It didn't reduce costs, it increased them. But it also increased top-line revenue. I think AI in our industry will do the same. But it will also make it more possible to hire the type of people who love hospitality (and hate computers).

This ruling is not likely to slow down AI, but it could change how companies use it.

If other countries adopt similar rules, hotels may find it harder to replace staff just to save money. Instead, they will need to show that AI helps employees do their jobs better.

This is especially important in hospitality because great guest experiences still come from people. Guests may appreciate fast technology, but they remember friendly and helpful staff.

As a result, hotels are more likely to use AI to support their employees rather than replace them. AI can handle routine tasks like answering common questions, creating reports, and managing schedules, while staff spend more time looking after guests.

This could increase the value of hotels that combine good technology with excellent service. The most successful businesses will be those that use AI to make their teams more productive, not those that try to remove people completely.

In simple terms, the future of hospitality is likely to be people supported by AI, not AI replacing people.

There is no doubt that AI is impacting manpower, and the double whammy arrives when robotics develops further.

Depending on your camp:

The Global Elite: It's major or zero impact depending on which way the wind blows. Those with eyes wide open know the truth.

The Everyday Workforce: They are leveraging AI but wondering where it ends. "Abundance" or UBI has to be paid for by someone.

Looking at this general employment ruling through the hospitality lens:

Portability: Action is needed. If a communist system recognizes employment risk, capitalist hospitality models must be cognizant of the rising groundswell.

Staffing Models: Yes, it forces a shift to augmentation, at least in China where they see the bigger picture. In our space, you can't replace the soul of the product.

Industry Impact: A balance will come when AI becomes mainstream technology. Currently, the most valuable hospitality business model will be directly linked to the travellers that remain. If no one can travel, none of it will be valuable. It comes down to available client base, disposable income, and what they can afford.

Right now, businesses are testing the water with terminations. They have confidence they can easily re-hire manpower later if they need to, so there isn't much to lose.

I don’t see much impact on UK hospitality. We will use chat bots in central reservations to complement the call centre staff eg for overnight queries, but IBEs and guest self-booking have been our main sales channel for decades. IBEs are deterministic tools, not probabilistic, so minimal LLM Gen AI is involved. Our RMSes have had embedded Predictive AI (machine learning for pattern matching) for a decade. Bots won’t replace restaurant staff or FoH staff or spa staff etc. We already use RPA for financial reconciliation. It complements AR/AP staff but doesn’t replace them. As you were.

Hospitality in the UK is suffering because of poor government decisions eg minimum wages, NIC, business rates, plus high food and energy costs. Two UK pubs on average are closing per day. Nothing to do with AI.

The ruling sets a sound precedent. It treats AI-driven restructuring as a deliberate business decision, owed retraining and fair pay. The mechanism is specific to China, but the principle travels.

In hospitality, heavy replacement is further off, because the product is human contact. The roles that carry it are judgment-heavy: reading a guest, recovering a bad stay, the reassurance that closes a booking. AI does repetitive work well and those moments badly. Klarna cut 700 service agents for a bot, then rehired when quality slipped. A hotel has less room: a bad interaction loses the guest to a competitor, or to an OTA at booking.

There's a data floor under this. Real replacement needs ground truth most properties lack: a unified guest record tied to live operations and current rates. That data is scattered across vendor systems nobody controls, so what a hotel deploys today assists staff, it doesn't replace them.

A tech-heavy stack on rented data is fragile; the worth is owned data and people. The tension the panel raises, efficiency against accountability, is theoretical here: replacement doesn't pay yet. That makes the accountable choice and the operational one the same: own your data and keep your people.

This ruling does not surprise me. It codifies what principled operators in our industry have long understood.

Hospitality has never been a sector where automation alone creates differentiation. The moment you remove human judgement from guest-facing interactions, you commoditise the product. Across three decades and multiple market segments, I have witnessed technology deployed with both precision and recklessness. The defining variable was never the platform — it was always leadership clarity on the purpose behind its deployment.

On portability: regulatory convergence around human oversight is gaining momentum globally. HR leaders who have positioned AI adoption primarily as a cost-reduction mechanism will need to fundamentally reconstruct their business cases.

On staffing models: augmentation was always the correct framework. This ruling accelerates a conversation that should have happened considerably earlier.

On valuation: high-touch, people-centric hospitality assets are positioned for meaningful premium revaluation — and that is entirely justified.

What this moment ultimately demands is what the industry has consistently deferred: genuine leadership accountability for technology decisions. Not vendor dependency. Not the cover of "transformation programmes." Outcome ownership.

That is precisely the standard that execution-focused management consulting exists to uphold.

AI replacing workers is not an act of God: not a hurricane, an earthquake, an inevitable force descending upon us like a swarm of locusts. Every layoff attributed to AI is ultimately the result of a decision made by managers, executives, boards, and investors (human beings, I hope).

This ruling reminds us that technological capability does not absolve us of moral accountability. The fact that something CAN be automated does not mean it SHOULD be automated, and the fact that we needed a judge to remind us of this is more revealing than the ruling itself.

We are increasingly tempted to treat technological change as destiny and to speak of AI systems as though they possessed agency, while the people deploying them somehow did not (particularly ironic at a moment when the industry is becoming obsessed with agentic AI...).

There is also a subtle but important, and frankly rather vile, shift in language: companies no longer say that they have decided to eliminate a role; they say that AI made the role unnecessary.

Because in most boardrooms today, there are only two reasons not to replace a human worker: either the law prevents it, or the human is still cheaper than the tokens....

A Wake-Up Call

The Chinese court ruling is not about AI. It is about management accountability.

For years, the hospitality has been flooded with AI promises: fewer employees, lower costs, higher efficiency. Yet very few hotel companies ask the most important question before signing: What exactly will improve? Every technology investment must contribute to at least one of three objectives: reduce costs, increase revenue, or generate valuable business intelligence. If it does none of these, it is simply an expense.

The truth is that many hotels buy software because competitors do, because vendors create fear of missing out, or because “AI” sounds strategic. But, where are the KPIs? Where is the ROI? Where is the proof that competitiveness improved?

The Chinese ruling may force the industry to rethink its approach. If replacing people becomes legally unacceptable, technology projects will have to justify themselves differently. AI will need to augment employees, not simply eliminate them.

For hospitality, this could be a blessing. Guests do not remember algorithms. They remember people. The hotel that uses AI to empower staff will outperform the hotel that uses AI merely to reduce headcount.

Perhaps the era of replacing leadership with software is ending. And frankly, it should.

I suspect the portability of this ruling will vary by region. China is, well, China. It faces unique concerns around employment in an huge population and may be more willing than most countries to intervene when AI threatens large-scale layoffs. Europe could move in a similar direction through labor protections, but I suspect the U.S. is likely to be more permissive.

For hospitality, I don’t think the biggest impact will be on-property staffing. Most hotel AI initiatives I’ve seen focus on helping associates deliver better service, reducing friction, and supporting personalization. In many cases, more personalization requires more human effort, not less. AI can identify opportunities, but people still create hospitality.

The larger workforce impact is likely at brand headquarters, management companies, and ownership groups, where AI can increase productivity in administrative, analytical, and other functions. And remember that impact may not always appear as layoffs; it may show up through attrition, hiring freezes, and not backfilling roles.

I think the bigger impact over time will be as AI-native startups emerge with vastly lower headcount than what a traditional company might need. As these startups grow, the shape of employment everywhere will change.

The ruling doesn't stop AI from replacing people. It stops you from doing it recklessly. That distinction defines the next decade.

China can mandate restraint. The West cannot. Market forces reward whoever automates first, so the ruling won't port as law. It ports as something softer: litigation, oversight, brand risk. Same direction, weaker grip.

So will replacement become augmentation? In language, yes. In economics, no. In an earlier viewpoint on who AI replaces, I argued hospitality shrinks through quiet attrition, not layoffs. This is why that path wins: it punishes the visible firing, not the role quietly never refilled. In our AI workforce engagements, the brief is rarely "replace people" but "grow without adding them."

I remain optimistic. AI creates new value and new jobs. But abundance is a destination, not a transition plan. Gains and pain land on different people and timelines, and that gap is where politics now lives.

For valuation, this favors genuinely high-touch assets and punishes headcount arbitrage dressed as transformation. In a people business, cuts sold as efficiency leak back as weaker reviews and pricing power. The savings never book cleanly.

Reckless termination is ending. Reckless strategy is not. Leaders must own the choice, not the algorithm.

It has long been established that, in the hospitality industry, human emotion and connection matter. As such, the illegalising of AI-driven terminations will undoubtedly create a shift towards augmenting service labour rather than replacing it.

With Western regulations also mandating human oversight, this change is likely to have global implications. Coupled with the fact that AI is yet to replicate human emotion and empathy, this could indeed signal the end of “cavalier terminations.” As the industry moves towards a more blended model of human intelligence (HI) and artificial intelligence (AI), industry leaders and employers will be held to higher standards of labour management.

This shift could increase the value of people-centric hospitality products, where in-person service, guest relationships, and human expertise become even stronger competitive differentiators.

AI in any industry should augment human capabilities rather than replace them. Ultimately, the balance will shift towards a combination of human and artificial intelligence, where each enhances the strengths of the other, creating outcomes that neither could achieve alone.

I have spent nearly four decades building hotel technology, through Fidelio, IDeaS, hetras and now Apaleo. Every major technology transition in this industry has carried the same fear: will this replace people? The answer has always been more nuanced than the anxiety.

The Chinese court ruling is a useful corrective, but it should not be read as a barrier to AI adoption. It should be read as a prompt to do it properly.

The hotels that will struggle are those that deployed AI as a cost-cutting mechanism without investing in the people expected to work alongside it. The anxiety I consistently hear from hotel teams is not "will I lose my job?" It is "I do not fully understand what this system is doing, and I am not sure when to trust it." That is not a technology problem. That is a leadership failure.

When AI is deployed on open, connected infrastructure with proper change management, team training and clear role definition, it does not replace the people who deliver hospitality. It frees them to do it better.

That has always been the point.

Artificial intelligence will change the way hotels operate and how staff work, by enhancing it. AI will empower teams to work quicker and more efficiently, make decisions faster, and deliver a better experience to guests. I believe we will see the most immediate benefit from AI deployment in budget hotels, where staff will be able to do and achieve more by using AI, especially through the automation of back offices processes such as invoice processing, guests requests and pricing optimization.

The greatest impact, however, will be on the guest experience. AI combined with real-time data can enable every guest to be treated like a VIP, delivering personalised, contextual and proactive engagement without relying solely on traditional loyalty programmes, making it easier to know non-loyalty customers as well with the potential to convert them. As hospitality technology evolves, connected systems and connected journeys will become the foundation of exceptional experiences.

At Hudini, we see AI as the intelligence layer sitting on top of integrated, real-time data ecosystems, helping hotels curate and deliver more accurate, relevant and seamless experiences throughout the guest journey.