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Lodging managers

Also called Hotel manager, Hotel general manager, Hotel GM, Inn manager, Resort manager

In brief

In May 2025, BLS counted 42,620 US lodging managers, with median pay of $69,250 a year. Of the BLS counts since 2021, the May 2025 count is the highest. The earliest figure here is an estimate of 38,000 from 1900, not measured the same way as today's count. The last full technology era for lodging managers: Airbnb + short-term rental platforms competing for lodging demand, 2010 to 2023.

What the sources say

Official outlook

BLS projects employment to grow 3.8% from 2025 to 2035.

BLS Employment Projections 2025-35

AI exposure studies

Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. BLS publishes these counts as yearly survey snapshots and cautions against reading them as a precise trend.

Last updated .

Cite this page
APA

Future History. (2026, October 11). Lodging managers: jobs and pay since 1900 [Data set; data as of BLS OEWS May 2025; BLS Employment Projections 2025-35]. https://futurehistory.earth/timeline/11-9081

Chicago

Future History. "Lodging managers: jobs and pay since 1900." Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. Last modified October 11, 2026. https://futurehistory.earth/timeline/11-9081.

BibTeX

@misc{futurehistory_11_9081, author = {{Future History}}, title = {Lodging managers: jobs and pay since 1900}, year = {2026}, month = oct, howpublished = {\url{https://futurehistory.earth/timeline/11-9081}}, note = {Last updated 2026-10-11. Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35}, }

The access date is today's date on your device.

drag to travel through time
180018251850187519001925195019752000now
Country
2026
Known then as Tavern Keeper / Innkeeper / Ordinary Keeper (licensed lodging operator)
Known then as Hotel Keeper / Hotel Proprietor / Hotel Superintendent (commercial hotel era)
Known then as Hotel Manager / Hotel Superintendent (chain-era professionalization)
Known then as Hotel Manager / Motel Manager / General Manager (franchise and motor hotel era)
Known then as Hotel General Manager / Lodging Manager (brand-flag era)
Known then as Lodging Managers (BLS SOC 11-9081)
Known today as Lodging Managers (BLS SOC 11-9081)
Projected to still be called Lodging Managers (BLS SOC 11-9081)
Data from the May 2025 survey
US Employment
43K
Est.

Stated in source: BLS OEWS

Official statistic
Report an error
Median Annual Wage
$69,250
Est.

≈ $67,475 in 2024 prices (derived by us, CPI-adjusted)

Official statistic
Report an error
Beat · 1794

The City Hotel opens in New York City with 73 rooms -- the first purpose-built large hotel in American history, managed by hired staff rather than operated by a sole proprietor. The Tremont House in Boston (1829) follows with 170 rooms, private locks on all doors, and running water -- the first "modern" hotel. These hotels create the template for the professional lodging manager: hired, salaried, responsible to a board of proprietors, and managing a staff of dozens across front-desk, housekeeping, and food and beverage functions.

Beat · 1910

A group of hoteliers gathers at the Palmer House in Chicago to form the American Hotel Protective Association -- the precursor to the American Hotel and Lodging Association (AH&LA). The group's founding president, Frank Dudley, immediately identifies a shortage of trained management personnel as the industry's primary constraint and advocates for college-level training. Working with E. M. Statler and the Federal Board of Vocational Training, the association lobbies Cornell University to create a dedicated hotel school, laying the groundwork for the founding of the Cornell School of Hotel Administration in 1922.

Beat · 1922

The Cornell School of Hotel Administration opens as the world's first four-year undergraduate degree program in hospitality management, with 21 students and a single professor, Howard B. Meek, hired as dean. The founding was backed by E. M. Statler's personal and financial support and the American Hotel Association's lobbying. The Cornell program establishes the intellectual and curricular foundation for professional hotel management education: general business management, food and beverage operations, accounting, and the behavioral sciences of guest service. Within decades it produces the GM pipeline for the major US hotel chains.

Beat · 1954

Conrad Hilton acquires Statler Hotels for $111 million in what was, at the time, the largest real estate transaction in history. The deal added 10,000 rooms across 35 properties and brought together two of the most systematized hotel management cultures in the industry. Statler's innovation had been operational standardization: same room layout, same service standards, same staffing ratios across every property, allowing managers to move between properties without retraining. Hilton's contribution was financial architecture: management contracts, franchising, and eventually the asset-light model that separated hotel ownership from hotel management. The combined operation is the direct ancestor of the management-company model that defines most large lodging operations today.

Beat · 1965

Holiday Inn launches Holidex -- described by hotel technology historians as the world's first hotel computerized central reservations system -- in partnership with IBM. A guest at any Holiday Inn could obtain a reservation, by teleprinter, at any other Holiday Inn. The system is built on an IBM 1401 computer and represents the first time a lodging manager's revenue performance is mediated by a central computer rather than a local room rack and telephone. Holidex goes on to handle billions of reservations over its four-decade lifespan before being retired in 2016.

Beat · 2020

COVID-19 produces the worst single-year employment shock in the history of American lodging management. The American Hotel and Lodging Association reports that 70% of hotel employees are laid off or furloughed as eight in ten hotel rooms sit empty. Total hotel sector employment falls by approximately 4 million workers; lodging manager employment drops from roughly 55,000-57,000 (2019) to approximately 40,000-43,000 (2020). The pandemic permanently changes the operational baseline: properties that reopen frequently do so with fewer staff, accelerating adoption of digital check-in, AI messaging, and housekeeping optimization tools as labor substitutes rather than supplements.

How to read this number

OEWS is a point-in-time survey snapshot, not a continuous time series; BLS advises against using it for year-over-year trend comparison.

Each dot is a cited figure over time; the dotted line only links them (values between aren't measured). Hollow dots are estimates.

Official statistic: Copied by a script from a statistics agency table or a published study's table, not retyped by hand. BLS figures and the forecast and exposure tables are also re-checked against that table on every data run. Researched context: Researched from the cited source rather than copied from it by a script, so it is not machine-checked yet. Spot a mistake? Each figure has a “Report an error” link.

Cited forecasts · present → 2035

Will AI replace lodging managers? What the research says

Each figure is stated by the named source; we publish no forecasts of our own. Where sources disagree, we show the disagreement rather than an average.

Each figure is stated by the named source; we publish no forecasts of our own. Where sources disagree, the spread is the honest signal.

What published forecasts say
Forecast change in the number of people doing this work, as published by each named source. Bars share one scale on every role, centred on zero and reaching the end at ±30%. Grey marks a small change, 3% or less either way.
BLS Employment Projections 2025-35
→ 2035
+3.8%
BLS National Employment Matrix, 2025-35 cycle, line for SOC 11-9081 (Lodging managers): 54.8 thousand jobs in 2025, projected 56.9 thousand in 2035, a change of +2.1 thousand (+3.8%). Matrix employment counts all jobs in the occupation, including self-employed workers (20.7% of this occupation in 2025). The average for all occupations in this cycle is +3.5%.
Official statisticReport an error
How exposed is this work to AI (research measures)
Scores as published by each study. Each row says what it measures. These measure what AI could technically do, not forecasts of jobs lost.
Eloundou et al. (2023), "GPTs are GPTs"
2023 study · Share of tasks exposed to LLMs (β, human-rated)
38%
of tasks
What this measures

Published occupation-level exposure from the paper's occ_level.csv for O*NET-SOC 11-9081.00 Lodging Managers. Shown: human-rated β = 0.38, the share of the occupation's tasks an LLM could do in at least half the time at equal quality, counting tasks that need LLM-powered software at half weight (β = E1 + 0.5 × E2). Other published measures for this occupation: human-rated α (LLM alone) 0.261 and γ (all LLM-assisted) 0.5; GPT-4-rated β 0.457. This measures how much of the work an LLM could touch, not how many jobs disappear.

Official statisticReport an error
Today, in this role

What's changing day to day for lodging managers

Three parts of your work where AI is already doing real lifting, and what stays yours.

AI is sitting alongside you hereDrive revenue performance by interpreting and acting on AI rate recommendations from IDeaS G3 or Duetto RevStrategy: reviewing daily pickup reports and demand-forecast dashboards to validate AI-suggested rate adjustments

Drive revenue performance by interpreting and acting on AI rate recommendations from IDeaS G3 or Duetto RevStrategy: reviewing daily pickup reports and demand-forecast dashboards to validate AI-suggested rate adjustments; authorizing rate overrides for group blocks, loyalty rate floors, or competitive-response tactics the AI cannot see; setting strategy parameters (minimum stay controls, channel mix targets, overbooking thresholds) that govern AI recommendation boundaries; and presenting RevPAR and ADR performance to ownership with AI-generated benchmark comparisons against the competitive set.[11],[5],[4]

Where your edge is

AI revenue management engines now outperform manual rate setting in nearly every market: the question is whether you govern the AI or let it run on defaults. Your value is the strategy layer: the group sales decision that requires accepting below-market rates to fill compression nights, the competitive-response call when a comp set breaks rate aggressively, and the ownership communication that explains why ADR trended below forecast during an anomalous week. Build a habit of reviewing the AI's daily demand forecast against your local intelligence: the hotel across the street that's running a wedding block, the convention booked six months out that hasn't hit the comp set's booking pace yet. That local knowledge is your irreplaceable input to the AI.

AI is sitting alongside you hereManage the full guest communication lifecycle using AI messaging platforms: configure Canary Technologies or Mews AI to send pre-arrival upsell offers (room upgrades, F&B packages, spa reservations), digital check-in instructions and mobile key delivery, mid-stay service requests, and post-stay review solicitations

Manage the full guest communication lifecycle using AI messaging platforms: configure Canary Technologies or Mews AI to send pre-arrival upsell offers (room upgrades, F&B packages, spa reservations), digital check-in instructions and mobile key delivery, mid-stay service requests, and post-stay review solicitations; review AI-drafted response queues for escalation flags (complaints, accessibility requests, special occasions requiring personal response); and set message sequence parameters and escalation thresholds that define which guest interactions surface to human staff.[8],[12],[7]

Where your edge is

AI messaging handles the high-volume routine guest-communication load with consistency and speed a human team cannot match at 2am. Your concentration point shifts to the escalations: the guest whose pre-arrival message flags a honeymoon stay, the accessibility request that requires room reassignment, the complaint buried in a mid-stay survey that, if unaddressed, becomes a TripAdvisor one-star review. Configure AI escalation rules to surface these to you personally, not a generic inbox. The most loyalty-building moment in a hotel stay is when the GM personally reaches out after a problem: AI flags the problem, you make the call.

AI is sitting alongside you hereDirect hotel digital marketing and direct-booking strategy using AI campaign tools: configure Sojern AI to manage Google Hotel Ads and meta-search campaigns with automated bid optimization

Direct hotel digital marketing and direct-booking strategy using AI campaign tools: configure Sojern AI to manage Google Hotel Ads and meta-search campaigns with automated bid optimization; review weekly AI-generated marketing performance dashboards (direct booking conversion rate, cost-per-acquisition by channel, OTA vs. direct booking mix, ROAS by campaign); set strategy parameters (direct booking percentage target, OTA commission tolerance threshold, seasonal campaign prioritization) that govern AI campaign optimization; and develop the hotel's unique content narrative (events calendar, local experience partnerships, F&B programming) that gives AI campaigns differentiated material to promote.[13],[7],[10]

Tools picking this up
Where your edge is

AI campaign management has effectively commoditized hotel digital advertising execution: every property using Sojern, Cloudbeds Amplify, or Booking.com's Visibility Booster is running AI-optimized campaigns. Your differentiation is in the story the campaigns tell, not the bidding mechanics. Invest in building the hotel's content calendar: a quarterly event that gives guests a reason to book direct, a genuine F&B experience that generates social media content guests create themselves, and a loyalty angle that rewards repeat stays in ways OTA points cannot replicate. AI amplifies the story you write; it cannot write the story for you.

Get started with these tools

Where lodging managers go next

Natural next steps for someone with your foundation: not exits, evolutions.

What each move takes

A direction you could grow

Food Service Managers

Most lodging managers (particularly at full-service hotels, resorts, and hotel-restaurant hybrids) already manage F&B operations as a substantial component of their role: overseeing the restaurant and bar P&L, managing the F&B leadership team, setting menu pricing strategy, managing health inspection compliance, and ensuring food safety training. The pivot to a dedicated food service management role is lateral rather than upward, typically representing a narrowing of scope from the full property to the F&B department. It is most relevant for GMs who are deeply passionate about food and beverage culture and want to specialize, or for GMs at limited-service properties who want to transition into a sector where the human hospitality premium is even higher than in lodging. The skill gap is primarily in culinary operations depth (menu development, food cost management, kitchen labor scheduling, and the technical vocabulary of a professional kitchen) rather than in management fundamentals.

What you'd add
  • · Food cost management: recipe costing, menu engineering, supplier bid evaluation, and the variance analysis discipline that connects kitchen execution to P&L outcomes
  • · ServSafe Manager Certification (or state equivalent): food safety certification required for most F&B management roles
  • · Kitchen operations fluency: culinary vocabulary, kitchen brigade structure, mise en place discipline, and the production-scheduling logic of a professional kitchen that differs from hotel operations scheduling
  • · Beverage program management: bar inventory control, spirits and wine program development, cocktail cost analysis, and on-premise vs. banquet beverage revenue optimization
  • · Health code compliance: local health department inspection preparation, HACCP plan documentation, and the critical control point framework that governs food safety management systems
What it takesMost of your skills carry over
Tools of the era

How has the work of lodging managers changed since 1790?

The tools that defined the work, one line per era. Select an era to see how it reshaped the work.

  • Handwritten ledger + county license (tavern keeper era)

    The lodging manager of the early republic operated with three tools: a license from the county court, a handwritten ledger, and a set of fixed rates posted by law or custom. Room assignments, meal tallies, and accounts were all manual. The tavern keeper's core competency was human: reading guests, maintaining order, and providing a standard of comfort that encouraged travelers to recommend the establishment. No mechanical system augmented or replaced any part of this work.

  • Room rack + front-desk reservation ledger (large-hotel system era)

    As hotels grew past about a hundred rooms through the Gilded Age, the handwritten ledger gave way to the room rack: a physical board displaying every room by number, with a paper slip inserted to indicate occupancy, expected checkout, and rate. The front-desk clerk managed the rack; the hotel manager supervised the clerk. The rack system was the first operational tool that separated the management function from the transaction function -- the manager now read a summary of occupancy rather than personally recording every guest. It also made the lodging manager's administrative work teachable: the Cornell School of Hotel Administration, founded in 1922 at the request of hotel industry leaders, built its curriculum around the operational systems that standardized hotels had developed.

    Effect on the work

    The room rack and front-desk division of labor established the management hierarchy that persists today: a general manager overseeing department heads overseeing clerks and service staff. It created the hotel general manager as a distinct professional role separate from both the owner and the day-to-day service workers.

  • Telephone reservation desk + manual PBX (centralized voice booking)

    The telephone transformed lodging management's relationship to demand. Before it, guests arrived, inquired, and either got a room or did not. With the telephone -- and, from the 1920s onward, with centralized telephone exchanges built into urban hotels -- a guest could hold a room in advance, and the hotel manager now had a flow of future demand to manage rather than just present-day inventory. Statler Hotels built an early centralized reservation infrastructure in the 1920s; Hilton Hotels expanded it coast-to-coast by 1943. Managing telephone reservation staff, setting advance-booking policies, and anticipating no-show rates became core GM competencies that had not existed in the room-rack era.

  • Holidex CRS (1965) + computerized central reservations systems

    In 1965, Holiday Inn launched Holidex -- the world's first hotel computerized central reservations system, developed in partnership with IBM. A guest visiting any Holiday Inn could obtain a reservation, by teleprinter, at any other Holiday Inn location. The system was, as a hospitality trade historian described it, "beyond advanced for its time -- before the Internet, before computers, even before fax machines." For the lodging manager, the CRS shifted revenue responsibility from reactive room-renting to active inventory and yield management: rates could now be varied by advance booking window, season, and day-of-week across the entire chain. The manager's role acquired a new analytical layer that had not existed in the telephone era.

    Effect on the work

    Computerized central reservations systems concentrated booking expertise at chain headquarters, reducing the autonomy and decision-making scope of individual property managers for rate-setting. The individual hotel GM became increasingly an executor of chain pricing strategy rather than its author -- a tension that persists in the franchise-management relationship today.

  • Fidelio PMS (1987) and OPERA PMS -- property management software era

    Fidelio Software, founded in 1987 in Munich, created the first widely adopted computerized property management system for hotels. By the mid-1990s, after MICROS Systems acquired a controlling stake, Fidelio PMS was in hundreds of hotels worldwide; its successor OPERA (introduced in the late 1990s, acquired by Oracle with MICROS in 2014) became the dominant enterprise PMS platform for major hotel brands. For the lodging manager, the PMS was the first system that consolidated reservations, room assignments, housekeeping status, folio management, and revenue reporting into a single integrated view. The GM's daily review shifted from physical room racks and manual reports to PMS dashboard reads -- a fundamental change in how the operational state of a hotel was known.

    Effect on the work

    PMS adoption reduced the administrative head count required for front-desk operations at mid-size and large hotels by consolidating functions that had previously required dedicated clerks for each task: reservations, check-in, checkout, billing, and night audit. BLS employment for lodging managers was relatively stable through the 1990s as PMS adoption reduced front-office labor while demand for professional GMs remained steady with hotel industry growth.

  • Online travel agencies + channel management (Expedia 1996, Booking.com 1996, OTA era)

    Expedia launched in 1996 as part of Microsoft; Booking.com launched the same year in Amsterdam; Priceline launched in 1998. By 2005, OTAs were generating a significant and growing share of hotel bookings, and the commission rates created direct pressure on lodging managers to reduce OTA dependence by driving direct bookings. Channel management -- optimizing rate and inventory across OTAs, GDS, the hotel website, and call centers -- became a core GM competency that had not existed in the pre-OTA era. The lodging manager's revenue management function, previously a secondary task, became a primary one.

    Effect on the work

    OTA competition compressed RevPAR for independent hotels without the brand loyalty programs of major chains. Properties unable to compete on OTA rankings closed, reducing the demand for their GMs. Simultaneously, the OTA channel created demand for revenue management specialists -- a new role that grew out of the GM's function at large properties.

  • Airbnb (2008) + short-term rental platforms competing for lodging demand

    Airbnb launched in August 2008 in San Francisco. By 2015 it had more than a million listings. For lodging managers, Airbnb represented a structural competitive challenge unlike any previous technology: supply entered the market without brand infrastructure, professional management, or regulatory compliance costs. The segment most affected was mid-price independent hotels -- exactly the format most dependent on the individual lodging manager. Luxury and full-service hotels proved more resilient, as the Airbnb product could not replicate amenities, food and beverage, or round-the-clock staffing.

    Effect on the work

    Airbnb competition did not translate into a measured decline in US lodging manager employment (BLS OEWS: 38,340 in 2019, 41,350 in 2024, after the post-COVID recovery), but properties that could not compete with short-term rental pricing closed or converted; their GMs exited the occupation. The structural effect was secondary to COVID; the secular trend of substitution was real but gradual.

  • AI revenue management + AI guest messaging + AI housekeeping optimization

    By 2024-2026, the lodging manager's administrative workload is being transformed by a stack of AI tools that would have been unrecognizable to a GM of ten years prior. IDeaS G3 and Duetto RevStrategy continuously update room-type rates without human input; Canary Technologies and Mews AI handle digital check-ins and draft responses to guest messages; Optii dynamically sequences housekeeping assignments in real time; TrustYou and Revinate aggregate and draft responses to hundreds of online reviews. Cornell Hotel and Restaurant Administration Quarterly (2024) found that properties using AI revenue management systems outperform manual-pricing peers by 4-9% on RevPAR. LinkedIn job postings for Hotel GMs as of early 2026 routinely list IDeaS G3 or Duetto as required skills -- the AI is no longer a differentiator but a baseline expectation.

    Effect on the work

    AI housekeeping optimization tools (Optii) report 10-15% labor efficiency gains at adopting hotels. The GM role itself is not being eliminated -- the human decision-making, guest crisis management, and team culture functions remain irreducible. But the GM can now operate a larger or more complex property with fewer administrative staff than was possible in 2015, concentrating the human-management layer at the top of a leaner operating structure.

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Lodging Managers employment and pay by year

On record since1790
Latest US employment42,620 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Latest US median pay$69,250 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Outlook+3.8% by 2035Source: BLS Employment Projections 2025-35Official statisticReport an error

In other countries

The latest figure each country's statistics agency publishes for this job. Each uses its own occupation definition, survey basis and currency, so the numbers are not directly comparable with each other or with the US figures.

  • Canada (NOC 60031)

    Employment, 2020
    25,505, Statistics Canada Census 2021 Official statistic Report an errorStatistics Canada Census of Population 2021: number of persons with employment income in NOC 60031 Accommodation service managers, Canada, reference year 2020. A recipients basis (anyone with employment income during the year), slightly broader than a point-in-time employed count. Statistics Canada Open Licence.
    Median pay, 2020
    C$57,200, Statistics Canada Census 2021 Official statistic Report an errorStatistics Canada Census of Population 2021 (Table 98-10-0586): median employment income for NOC 60031 Accommodation service managers, Canada, reference year 2020, full-year full-time workers (the basis comparable to the US OEWS full-time median). Statistics Canada Open Licence.
View all 29 years of cited US data, each linked to its source
YearUS employmentAnnual pay (median unless marked)SourceReport
190038,000n/aEst., Encyclopedia.com Researched contextReport
193055,000n/aEst., Statler Foundation Researched contextReport
1956n/a$5,200Est., FRASER / St. Louis Fed Researched contextReport
196070,000n/aEst., LODGING Magazine Researched contextReport
1990100,000n/aEst., BLS Occupational Outlook Handbook Researched contextReport
200031,890$30,770BLS OEWS 2000 Official statisticReport
200330,760$35,690BLS OEWS May 2003 Official statisticReport
200430,860$37,660BLS OEWS May 2004 Official statisticReport
200531,040$40,610BLS OEWS May 2005 Official statisticReport
200631,300$42,320BLS OEWS May 2006 Official statisticReport
200731,890$44,240BLS OEWS May 2007 Official statisticReport
200832,460$45,800BLS OEWS May 2008 Official statisticReport
200931,660$46,300BLS OEWS May 2009 Official statisticReport
201029,920$46,880BLS OEWS May 2010 Official statisticReport
201129,870$47,450BLS OEWS May 2011 Official statisticReport
201229,730$46,810BLS OEWS May 2012 Official statisticReport
201330,950$46,830BLS OEWS May 2013 Official statisticReport
201431,740$47,680BLS OEWS May 2014 Official statisticReport
201535,480$49,720BLS OEWS May 2015 Official statisticReport
201635,410$51,840BLS OEWS May 2016 Official statisticReport
201736,610$51,800BLS OEWS May 2017 Official statisticReport
201837,050$53,390BLS OEWS May 2018 Official statisticReport
201938,340$54,430BLS OEWS May 2019 Official statisticReport
202031,790$56,670BLS OEWS May 2020 Official statisticReport
202135,920$59,430BLS OEWS May 2021 Official statisticReport
202239,870$61,910BLS OEWS May 2022 Official statisticReport
202341,980$65,360BLS OEWS May 2023 Official statisticReport
202441,350$68,130BLS OEWS May 2024 (employment) Official statisticBLS OEWS May 2024 (pay) Official statisticReport
202542,620$69,250BLS OEWS May 2025 Official statisticReport
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