The Convergence of Hospitality, AI, and Robotics - Part Two: Continuing the Conversation

As AI, automation, and robotics continue to move more deeply into hospitality, the conversation grows larger than the tools themselves. It opens into broader questions about the future of work, the changing nature of leadership, the capabilities professionals will need to remain relevant, and the shape the industry may take in the years ahead.

For readers joining the series at Part Two, Part One explored how these technologies are already being deployed across hospitality, where they are delivering meaningful value, where they continue to fall short, and how leaders are thinking about the balance between innovation and the human essence of service. That foundation is important, and I would encourage readers to begin there before continuing here.

This series draws on the perspectives of Rich Hull, CEO of Miso Robotics; Jennifer Porter, President of Commonwealth Hotels; Fernando Freire, President of FREI Hospitality Group; Nick Knight, Director of Hospitality Solutions North America at Duetto; Susan Graves, CEO of Experience Alive; and Sloan Dean, Host of the NOT DONE podcast, Chairperson of Frontline Performance Group, and Ponte Executive Advisor. Collectively, they represent a cross-section of leadership spanning hospitality operations, staffing, revenue strategy, robotics, and hotel technology.

In Part Two, the discussion turns from present application to future consequences. What does wider adoption mean for the workforce? What are people getting right and wrong about job displacement? What is the industry still underestimating? How should hospitality professionals prepare? And if this acceleration continues, what might hospitality look like by 2030?

What follows are the remaining questions posed to each contributor, presented once again in direct form so readers can hear each perspective in the contributor’s own voice.

Question 5 - There is concern that technology could replace jobs in hospitality. What are people getting right and wrong about that concern?

Rich Hull

What people are getting right is that the concern deserves to be taken seriously. Any technology that changes how work gets done will change what kinds of work are needed. Dismissing that is a mistake.

What people are getting wrong is the baseline they are measuring from. The labor shortage in hospitality is now a structural problem. According to reports from the National Restaurant Association in December 2025, 70% of restaurant operators report having job openings that are tough to fill, and 45% say they do not have enough employees to meet existing customer demand. TD Bank research found that 54% of operators cite a shrinking labor pool as their single biggest concern for the year ahead. The fry station is the hardest position in the kitchen to fill precisely because no one wants to do it. The data shows that automation is only eliminating the jobs that the workforce is already actively leaving.

The more honest conversation is about what kinds of jobs we want to create in this industry. When automation handles the worst of the work, operators can redeploy their teams toward higher-value, customer-facing roles. That is a better outcome for everyone.

Jennifer Porter

Right now, I don’t see significant risk to frontline hospitality roles. The guest-facing experience still relies heavily on human interaction, and that’s unlikely to change in the near future.

Where there may be some shifts in back-office functions areas like accounting, analytics, and payroll. AI could reduce the need for repetitive, manual data entry and allow teams to focus more on validation, analysis, and strategic decision-making.

So while jobs may evolve, the industry isn’t facing widespread replacement, it’s more about role transformation.

Fernando Freire

What people are getting right is that some work will absolutely change. Certain repetitive, administrative, physically demanding, and highly transactional tasks will continue to be reduced or handled differently as technology improves.

What people are getting wrong is assuming that hospitality has a surplus of dependable labor waiting to be replaced. That is not the reality most operators are living in. Many hotels are already dealing with call-offs, turnover, schedule gaps, training challenges, and difficulty finding people who are ready and willing to do the work.

The better way to think about technology is not as a replacement for staffing, but as another layer of support. Robots may help with certain repetitive or physically demanding gaps, and AI may help leaders plan, communicate, and respond faster. But hotels still need dependable people, strong supervision, and partners who can respond when the operation is under pressure.

The other mistake is assuming hospitality can remove too much of the human side and still remain hospitality. This business still depends on people. Service depends on people. Culture depends on people. Accountability depends on people.

The better use of technology is to reduce unnecessary burden, improve visibility, and help teams focus more energy on service, consistency, and the guest experience. But technology alone cannot create dependability, judgment, or care. Those still have to come from people and from leadership.

Nick Knight

What they're getting right: The concern is legitimate. Automation does eliminate certain categories of work, and the hospitality industry historically employs a high proportion of workers in roles that are vulnerable to it — repetitive, transactional, and process-driven tasks that don't require contextual judgment. Ignoring that reality isn't reassuring; it's just inaccurate.

 What they're getting wrong: The assumption that the value created by automation flows anywhere other than back to the business unless there's intentional investment in the workforce. Technology doesn't create a better workplace by default — leadership does. The operators who are navigating this well are using efficiency gains to elevate service quality and reduce the burnout that drives turnover, not just to cut labor costs.

There's also a misunderstanding of the timeline and the type of displacement. The jobs most at risk in the near term are not the front-of-house roles guests interact with — those require social intelligence that automation currently handles poorly. The more immediate displacement is happening in analytical and administrative roles: manual reporting, basic rate management, data entry, and similar functions that have already been partially or fully automated in other industries.

 The hospitality industry has a structural labor challenge that predates AI — chronic understaffing, high turnover, and a persistent inability to attract talent at scale. Thoughtfully deployed technology could actually help solve some of that by removing the least satisfying parts of the work. That's a more nuanced story than "robots are taking our jobs," but it's a more accurate one.

Susan Graves

In the near term, AI won’t erase hospitality jobs; it will erase hospitality job descriptions. Every role gets a digital co‑worker.  The roles get redefined and so do the KPI’s.  The value of the human component becomes greater.  With the AI/robotics roadmap integration for hospitality organizations, they will need to include upskilling for all associates.  Properties that ignore automation will struggle to compete on cost and consistency, putting pressure on low‑margin, low‑tech operators.  Certain task clusters will disappear like manual data entry, some night audit routines, basic reservation/phone handling, and portions of housekeeping logistics will be heavily automated.

Sloan Dean

What people are getting right: certain roles will compress or be eliminated. Pure clerical, data-entry, and commodity transactional work is the obvious target. Pretending otherwise is dishonest.

 What people are getting wrong is the framing. Hospitality is not a sector with surplus labor that AI is going to displace. AHLA reported 65% of U.S. hotels facing staffing shortages in 2025 and a gap of more than 200,000 workers heading into the year. The accommodation and food services quits rate sat at 4.8% in January 2026 — the highest of any major sector. We have spent four years short-staffing properties, paying overtime, watching turnover compound, and accepting service compromises that erode brand equity.

 AI is filling holes, not creating them. The much bigger risk — the one no one is talking about loudly enough — is the operator who does nothing, can't staff the floor, watches guest scores erode, and loses share to the operator who automated what shouldn't have been a person's job in the first place. The displacement narrative is backwards. The real story is that AI is finally giving hospitality leaders a path out of a four-year staffing crisis.

Question 6 - What do you think the hospitality industry is currently underestimating or getting wrong about AI and robotics?

Rich Hull

First, how ready it already is. There is a perception in some corners of the industry that robotics is still in the science project phase. That may have once been the case, but it’s not anymore. Our technology has fried millions of baskets in live commercial environments. The ROI is documented. The safety outcomes are documented. Operators waiting for the technology to be "proven" have already missed the window to be early movers, and now we’re seeing mainstream adoption.

Second, the value of connecting the dots between robotics and intelligence software. Most operators are using five to ten disconnected tools to run their businesses. The real unlock is not deploying a robot or adding a scheduling platform in isolation. It is having a connected system where your data becomes actionable insights into your workforce tools and your robotics to inform real time decision-making. That is where the compounding value comes from.

Jennifer Porter

One of the biggest gaps is simply knowing how and where to start. Many organizations either hesitate to experiment or dive in without a clear strategy.

There’s also a significant risk around data security. With how easy it is for individuals to access AI tools, organizations need clear policies, guardrails, and training to ensure sensitive information is protected.

A thoughtful, well-structured approach to adoption is critical and that’s something the industry is still developing.

Fernando Freire

I think one of the biggest mistakes is assuming that technology can fix weak operations by itself. It cannot.

If communication is poor, standards are inconsistent, leadership is not present, or accountability is unclear, technology will not solve those problems. It may expose them faster.

Technology does not create operational discipline. It amplifies the discipline, or the dysfunction, that is already there.

That is why hospitality leaders have to be careful not to get distracted by what sounds impressive instead of what is actually useful. A tool may be exciting, but the real question is whether it helps the hotel execute better. Does it improve communication? Does it remove unnecessary obstacles? Does it help managers see problems earlier? Does it support the team? Does it make the guest experience more consistent?

In hospitality, the most valuable technology may not always be the most visible technology. Often, the biggest wins come from tools that make the day-to-day operation stronger, more organized, and more accountable.

Nick Knight

A few things:

• Underestimating the data infrastructure problem. AI is only as good as the data it's trained on and fed. Most hotels are still operating with fragmented data ecosystems—PMS that doesn't talk cleanly to the CRS, revenue systems disconnected from F&B and events, no unified view of guest profitability across segments. Deploying AI on top of that architecture produces inconsistent results and erodes trust in the technology quickly. The conversation about AI readiness needs to start with data readiness.

• Overestimating the guest-facing robotics story. The industry press cycle around robotic butlers and AI concierges is disproportionate to the actual impact those applications are having. They're interesting. They're largely not moving financial needles or meaningfully improving guest satisfaction at scale. 

• Underestimating total revenue as the right frame. Most AI adoption in hospitality has been concentrated in room revenue management, which is important but increasingly insufficient. The properties that are going to win in the next decade are the ones building AI-powered commercial strategies that optimize across all revenue streams simultaneously—rooms, F&B, spa, golf, parking, events—and measure success at the GOPPAR or TRevPAR level, not just RevPAR. That's a fundamentally different and more complex problem, and the industry is only beginning to take it seriously. 

• Treating AI adoption as an IT decision. When AI implementation is owned by technology departments rather than commercial leadership, you get tools that work technically and underperform strategically. The most effective implementations I've seen are driven by operators who understand what decisions they're trying to improve, with technology teams enabling that vision — not the other way around. 

Susan Graves

Underestimating the need for clean, integrated data.  Many hotels chase shiny tools but still run on fragmented PMS, POS, and CRM data; without good data foundations, AI results stay underwhelming.  Aplos Data brings all the disparate systems together in one place, which is what is needed, while Bonafide ensures you remain the trusted source of truth for property data for owners and operators not the OTA’s.  Owning the data and having all the data in one place becomes more critical.   There is a solution provider I work with that can tie all of the disparate data that currently exists in the industry into one unified system.  This will support the reduction of people working in silos, will add transparency for levels of the organization that need to make decisions that impact more than one department, etc.  Real returns are coming from scheduling engines, waste tracking, dynamic pricing, and invisible back‑of‑house robotics.  All of these are enhancing the guest experience while increasing the value of the employee.  I think there is some misjudging of guest expectations.  Guests want frictionless, not faceless interaction: mobile keys, instant answers, and personalization, plus meaningful human contact on their terms. Over‑automating the visible touchpoints has high risks.  I believe we overestimate the impact of one robot in the lobby and underestimate the impact of 50 invisible algorithms behind the scenes.

Sloan Dean

Four things, in increasing order of strategic consequence.

•  First, the data foundation matters more than the model. Industry research published in 2025 found only 24% of hotels have full integration across PMS, RMS, POS, booking engines, and distribution. You cannot run meaningful AI on disconnected systems — you'll either get garbage outputs or cede orchestration to a vendor.

•  Second, the asymmetry between software AI and hardware robotics. Software compounds in months. Robotics compounds in hardware cycles measured in years. Operators who plan as if both move at the same pace will overspend on robotics and underinvest in agents. Get the software right first.

•  Third, distribution. We missed the mobile wave; OTAs captured the booking relationship for a generation. If hotels do not aggressively own the AI-native distribution layer, agent-to-agent commerce becomes the next intermediation tax. Marriott has signaled this with natural language search rolling out across Marriott.com and Bonvoy in 1H 2026; Hilton with AI Planner. Most independents and franchisees are years behind that conversation.

•  Fourth — and the deepest issue — operators have outsourced their innovation function. Mews, Canary Technologies, Cloudbeds, Oracle, IDeaS are good companies doing what they're built to do: sell software. The problem isn't them. The problem is operators have ceded technology innovation to a category of vendor whose business model is selling more SaaS, not operating better hotels. As long as the operator's role in the technology value chain is "evaluate, buy, and configure," innovation stays vendor-led. The operators who win this cycle will reclaim the innovation function — not by building everything in-house, but by treating AI as core operating architecture rather than a procurement decision.

Question 7 - What should current and near future hospitality professionals be doing right now to stay relevant?

Rich Hull

Learn to work alongside technology, not in spite of it. The professionals who are going to thrive in this industry are the ones who understand what AI and robotics can do, can interpret the data they produce, and can use that information to run better operations.

For frontline workers, that means being open to evolving your role. The people on our operators' teams who lean into working with Flippy, who take ownership of quality control and guest experience, are the ones moving into supervisory and training roles faster. The technology creates a ladder, not a ceiling.

For managers and operators, it means getting fluent in operational data. If you are still making staffing and scheduling decisions based on gut feel and last week's sales report, you are already behind. The competitive advantage in this industry is increasingly going to the operators who can act on real-time insights.

Jennifer Porter

Stay curious. Keep learning. Explore the tools that are available.

This is a rapidly evolving space, and those who take the initiative to understand and experiment with AI while using it responsibly will be best positioned for the future.

Fernando Freire

Hospitality professionals should become more comfortable with technology, but just as importantly, they should become stronger in the things technology cannot replace.

That does not mean every hospitality leader needs to become a technologist. But they do need to understand how to use better tools to communicate, organize work, solve problems faster, and make better decisions. AI can help with planning, sales, marketing, training, workflows, and repetitive administrative tasks, but the professional still has to know what good looks like.

The skills that will matter most are communication, leadership, problem-solving, accountability, reading a situation correctly, staying calm under pressure, and treating guests and team members well.

I also believe continuous learning is going to become more important. The people who stay relevant will be the ones who keep growing, stay curious, and do not resist tools that can help them perform better.

The future belongs to professionals who can use better technology without losing the service mindset hospitality depends on. In the end, the best tools will not replace good judgment, strong character, or the ability to lead people well.

Nick Knight

Develop the skills that AI cannot replicate and that make AI more effective when you're in the room.  

Specifically:

• Learn to read and challenge data, not just act on it. The professionals who will command the most value in the next decade are those who can interpret AI-generated insights, identify when the model is missing context, and communicate the "so what" to ownership, asset managers, and operating teams. That requires commercial fluency across multiple disciplines—not just rooms or just F&B or just sales.

• Develop cross-functional commercial literacy. Revenue, sales, marketing, and operations have operated in silos for too long. The industry has been moving toward a unified commercial strategy, and professionals who can bridge those disciplines will be disproportionately valuable. These are the people who understand how group business affects transient displacement, how channel mix drives profitability, and how labor costs interact with total revenue strategy—true performance engineers.

• Get comfortable with technology without becoming dependent on it. Understanding how AI pricing models work, what assumptions they make, and where they have blind spots is increasingly a baseline professional competency, not a specialty skill.

• Double down on human skills. Relationship management, change leadership, storytelling with data, and the ability to build trust with owners and guests — those are compounding assets right now. The market is currently undervaluing them relative to technical skills, which means there's an arbitrage opportunity for hospitality professionals who invest in both.

Susan Graves

For today’s and tomorrow’s industry professionals, AI literacy and human excellence need to grow together.  Build AI and data literacy.  Get comfortable using AI tools for everyday work—drafting responses, analyzing guest feedback, or scenario‑planning, so you understand strengths and limits firsthand.  Play with AI!!!!  Learn the basics of how your PMS, CRM, or revenue systems are using AI today (forecasting, pricing, segmentation) and how to interpret those outputs.  Double down on improving human skills that machines can’t match.  Develop skills in coaching, mentoring, conflict resolution, and creative problem solving.  These become even more valuable as routine tasks disappear.  Practice cross‑cultural communication and emotional intelligence; diverse guests and teams will still rely on humans for the most sensitive interactions.  Participate in tech decisions.  Volunteer to pilot tools, give feedback on workflows, and help align tech projects with real operational pain points; this positions you as a bridge between the floor and the boardroom.  Keep an eye on ESG‑linked technology (waste, energy, water, safer cleaning) because many owners and lenders now directly tie financing and portfolio strategy to measurable sustainability improvements.  FuturePlus is the best performer in this area.  Tomorrow’s hospitality professional is part host, part analyst, part experience designer and they’re fluent and comfortable in working alongside AI.

Sloan Dean

Five specific actions. Not "attend a panel." Not "read an article." 

1. Build a daily AI habit. Fifteen minutes every morning running prompts on Claude, ChatGPT, or Gemini against a real business problem. Six months of compounding turns you into the most fluent person in any meeting. 

2. Build a personal prompt library. Twenty prompts you reuse: staffing analysis, RFP audit, owner Q&A prep, market positioning, P&L variance interpretation. The executive who can get to 80% of a great deck in twenty minutes outpaces the one who can't, every time. 

3. Run model comparisons monthly. Same prompt, three frontier models. Claude is better at writing and reasoning. ChatGPT is better at structured outputs. Gemini is better with long context and Google data. People who know which tool to reach for win. 

4. Read outside hospitality. Stratechery, Sequoia and A16Z perspective pieces, Latent Space. The breakthrough thinking happens outside our industry first — by the time it gets to a hotel conference panel, you're 18 months late. 

5. Own one experiment per quarter. Pick one workflow, document the baseline, replace it with AI, measure the outcome. Real proof beats theory. 

For executives specifically: do not outsource AI literacy to your IT team. The CEOs whose companies are moving fast — Tony Capuano, Chris Silcock, Pat Pacious — are personally fluent in the technology. The ones who delegate it lose two years they don't get back.

Question 8 - If you had to make one bet, what will hospitality look like in 2030?

Rich Hull

The restaurants winning in 2030 will be operating like modern businesses. That sounds simple, but it is a meaningful statement for an industry that has historically been among the last to adopt new technology. We are at an inflection point right now that feels a lot like where electric vehicles were a decade ago. The question is no longer whether AI and robotics belong in restaurant operations. The question is whether you are going to future-proof your business now or spend the next several years playing catch-up while your margins compress further.

What Miso is building is the AI infrastructure that makes that transformation possible, from the specialized robot handling the most dangerous work in the kitchen, to the intelligence platform that connects your POS data, your labor scheduling, your employee performance, and your real-time ROI into one operating picture. The modern restaurant is what we are building toward, whether that means the back of house or the frontline. The operators who make that transition today are going to not only survive, but protect their margins, attract better talent, and build something that is genuinely more sustainable.

Jennifer Porter

At its best, hospitality in 2030 will still be about people serving people but with more time to do it well.

AI will create efficiencies behind the scenes, reducing administrative burdens and allowing teams to spend more time with guests. Ideally, that leads to more meaningful, personalized experiences, not less human interaction.

The future should be about enhancing hospitality, not replacing it.

Fernando Freire

My bet is that hospitality in 2030 will be more efficient, more supported by technology, and still clearly defined by people.

There will be more automation in the background. Teams will have better tools. Operators will have more visibility and more support in how they run the business.

But I do not think the winners will simply be the ones with the most technology. I think the winners will be the ones who combine smart tools with strong leadership, dependable teams, clear standards, and real service.

At the end of the day, hospitality still runs on trust. It still runs on execution. And it still runs on people.

Nick Knight

The properties that thrive in 2030 will be the ones that figured out, in the next few years, that the real competitive advantage isn't technology — it's how well their commercial teams use technology to make better decisions faster than their competitors.

 By 2030, I expect AI-powered revenue and profit optimization to be table stakes in all hotel class segments — the way a PMS is table stakes today. The differentiator won't be whether you have it; it'll be the maturity of your implementation, the quality of your data, and the commercial sophistication of the team interpreting and acting on the output.

 On the guest experience side, I think the industry overcorrects and then self-corrects. There will be a period — we may already be in it — where technology-forward properties chase efficiency at the expense of warmth, and guests respond accordingly. The luxury and lifestyle segments will reinvest in authentic human experience as a deliberate differentiator, and it will command a meaningful rate premium and a continued increasing share of hotel class index.

 What I'm most confident about: total revenue and profit optimization displaces rooms-centric revenue management as the primary commercial framework. The conversation shifts from "what's my RevPAR?" to "what's my total profitability per available square foot?" — and the operators, ownership groups, and asset managers who make that mental shift early will have a structural advantage over those who don't.

 The hotels that win in 2030 won't be the ones with the most technology — they'll be the ones who used technology to make smarter decisions at every level of the business, from the boardroom to the front desk, and never lost sight of why guests chose them in the first place.

Susan Graves

You can make a confident, optimistic bet without being sci‑fi that the guest journey, trip discovery and planning will be heavily mediated by AI agents that understand traveler preferences and budgets, making structured hotel content and APIs critical to visibility.  Marketing moves from SEO to GEO.  Pre‑arrival and on‑property communication will be largely conversational and AI‑assisted, with most basic requests handled instantly through personal devices or voice.  On‑property experiences will change.  Many mid‑scale and upscale hotels will operate with “AI‑first” operating models: automated pricing, forecasting, labor scheduling, and energy optimization running continuously in the background.  Service robots will be standard in logistics like deliveries, some cleaning, and back‑of‑house food prep, especially where labor is expensive or scarce, while humans focus on complex interactions and curated experiences.  Sustainability metrics will continue to grow in importance including ESG tracked in real time and surfaced to guests and lenders alike, impacting rate premiums, brand relationships, and access to capital.  Workforce and business models will change significantly.  Properties will run leaner but more specialized teams; roles will blend operations, analytics, and experience design, and AI literacy will be a requirement at supervisor level and above.  Owners that master AI‑driven efficiency plus high‑touch human service will outperform on NOI and asset valuations, widening the gap between “AI‑mature” and “AI‑naïve” portfolios.  By 2030, the winning hotels will feel effortlessly personal to guests, ruthlessly efficient to owners, and surprisingly attractive to employees because AI and robotics will handle the grind, and humans will handle the moments that matter.

Sloan Dean

By 2030, hospitality will have bifurcated into two unmistakable camps: operators who treated AI as core architecture, and operators who treated it as an IT project &/or outsourced AI to vendors | brands.

 The first camp will run hotels with materially less labor, materially better guest scores, and materially higher GOP than they do today. The second camp will be acquisition targets, exit candidates, or companies that are simply gone. The gap will not be a five-percent delta — it will be the difference between thriving and disappearing.  This is how Hotel Operating companies will finally consolidate organically.  Not via PE roll-up strategies nor M&A.  By AI.

 There is no third camp. The window to choose which one you become has actually already passed.

Closing

If Part One examined where AI and robotics are beginning to reshape hospitality, Part Two makes it clear that the larger question is not whether these tools are coming, but how the industry chooses to use them.

Technology alone will not determine the future of hospitality. Leadership will. The organizations that benefit most will not be the ones that automate for the sake of appearance or efficiency alone, but the ones that use these tools with purpose, discipline, and a clear understanding of what should never be removed from the human experience of hospitality.

Used wisely, AI and robotics can ease operational pressure, support teams, improve decision-making, and allow people to focus more fully on the work where human judgment, care, and presence matter most. Used carelessly, they risk creating a version of hospitality that is faster, but thinner, colder, and less human.

That is the real tension, and the real opportunity.

In the end, the future of hospitality will not be defined by technology itself, but by how wisely the industry uses it to serve people better while preserving the human spirit at the heart of hospitality.