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Insights from Bobby Jones Links

THE CLUB OF 2036 How AI Will Transform Club Management

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by
Whitney Crouse

Your club and the club management business are likely to change more in the next 10 years than they have in the last 40.

One conclusion consistently shared across industry experts and today's leading AI platforms is that by 2036, leading golf management companies like Bobby Jones Links will increasingly resemble technology companies that happen to operate clubs. The sentiment among industry leaders is that our most valuable assets will not just be our highly experienced managers or our scale—they will be proprietary AI models, integrated data platforms, and operational knowledge derived from hundreds of millions of member and guest interactions.

1. EVERY CLUB WILL HAVE AN AI OPERATING SYSTEM

Today, our clubs use dozens of disconnected systems:

  • POS
  • Tee sheets
  • Accounting
  • Payroll
  • CRMs
  • Websites and social media
  • Cameras
  • Irrigation
  • Maintenance
  • Purchasing

In ten years, these will operate under a single integrated AI platform.

Instead of managers searching for information, AI will answer questions such as: "Why are food costs up 2.3% this month?" Or "Which members are most likely to resign in the next 30 days?"

Every club leader will have an AI dashboard—or even a conversational digital avatar—that can answer questions, explain trends, and recommend actions.

2. AI WILL BECOME THE GENERAL MANAGER'S ASSISTANT

Today, our General Managers spend considerable time on tasks such as answering emails, preparing reports, scheduling, developing budgets, handling complaints, and reviewing invoices.

AI will automate much of this.

A General Manager might simply say: "Prepare for tomorrow's department head meeting."

The AI will automatically prepare information such as financial dashboards, weather, labor forecasts, member complaints, upcoming events, maintenance priorities, F&B inventory issues, and staffing shortages.

Meeting preparation will shrink from several hours to just minutes.

3. PREDICTIVE MEMBER RETENTION

Today, we learn that members leave after they resign. Future systems will predict departures months in advance.

Indicators might include declining rounds, fewer dining visits, slower email open rates, canceled reservations, reduced guest play, reduced spending, or a spouse no longer attending events.

An AI program might say to a club manager: “Mr. Jones has an 84% chance of resigning within six months.”

It will recommend solutions such as a dinner invitation, a complimentary lesson, a meeting with the General Manager, or a personalized event invitation.

Retention becomes proactive instead of reactive.

4. DIGITAL TWINS OF EVERY PROPERTY

Every club will have a living digital twin. Imagine opening an interactive 3D map showing:

  • Irrigation status
  • Soil moisture
  • Turf stress
  • Cart locations
  • Maintenance crews
  • Equipment
  • Member and customer traffic
  • Utility consumption

Managers will virtually "walk" the property before arriving.

5. AUTONOMOUS TURF MAINTENANCE

The industry already offers this technology. While today's systems are not yet fully autonomous or highly precise, they are getting remarkably close.

In 10 years, clubs will likely see fleets of robotic greens and rough mowers, bunker rakes, fairway spot sprayers, range pickers, and autonomous utility vehicles. And each machine will communicate with the others.  

The maintenance staff shifts toward oversight and specialized work rather than repetitive mowing.

6. PRECISION AGRONOMY

Every acre will generate data. Sensors will monitor moisture, nutrients, disease risk, compaction, salinity, evapotranspiration, and root temperature.

And then an AI system may recommend something like:

“Irrigate greens 4, 8, and 15 for an additional 20 minutes tonight,” or “delay the planned fungicide application on the greens by four days.”

Chemical and water use may decrease substantially while improving playing conditions.

7. LABOR OPTIMIZATION

Labor is our biggest expense, sometimes accounting for up to 60% of a club’s operating budget. Future scheduling systems will factor in the weather, upcoming events, tee times, dining reservations, historical demand, PTO status, and employee preferences.

Staff schedules will update automatically, and department heads will spend far less time creating them.

8. PREDICTIVE EQUIPMENT MAINTENANCE

This is where it gets even better: AI systems embedded in equipment will continuously monitor performance. 

For example, the system may warn that a greens mower’s hydraulic pump is likely to fail within the next 31 operating hours.

Repairs happen before breakdowns. Downtime decreases significantly.

9. HYPER-PERSONALIZED MEMBER AND CUSTOMER EXPERIENCES

Every member or customer will effectively have a granular profile of their preferences. 

For example, at a private club, AI will tell us that Mrs. Wilson:

  • Prefers tee times before 10:00 AM
  • Prefers not to play when it is cart path only
  • Drinks Cabernet, Margaritas, and Moscow Mules
  • Dislikes the St Andrews dining room noise level and prefers the grille room
  • Favorite order is a Cobb Salad with dressing on the side
  • Her 25th anniversary will be on October 11
  • Usually plays with the same foursome. Mrs. Duffer, Mrs. Topper, and Ms. Hacker
  • Has had the same locker, #234, since joining the club
  • Won the club championship in 1999

The staff will receive prompts before the member or customer arrives. The experience feels highly personal while remaining scalable.

10. VOICE BECOMES THE PRIMARY INTERFACE

Instead of logging into software, club managers and department heads will ask: 

"Show today's labor in dollars and hours scheduled."

"How many memberships have we sold this month compared to the budget and last year?"

“How many outing golf rounds have been played year to date?”

"Prepare this week’s dashboard and email it to the board/owner."

AI voice assistants will interact with every club system.

11. AI-DRIVEN PROCUREMENT

Instead of ordering supplies manually, AI will predict the club’s needs and place orders automatically.

It may recommend delaying fertilizer purchases, buying golf balls before a price increase, consolidating food deliveries, or shifting purchases among vendors.

Management companies like ours will gain even greater purchasing leverage.

12. AUTOMATED FINANCIAL ANALYSIS

Monthly financial reviews become continuous. An AI automatically identifies issues such as labor variances, payroll anomalies, theft indicators, purchasing irregularities, food waste, and shrinking margins.

Our management teams will receive explanations, not just reports.

13. AI-GENERATED MARKETING

The marketing department will become more productive.

AI will create newsletters, social posts, emails, videos, event flyers, website updates, and advertisements.

Each version will be automatically personalized for its intended audience.

14. AI SALES COACHES

Membership and special event salespeople will receive guidance, such as:

  • The best time to call a prospect
  • Suggested talking points for a particular prospect
  • Pricing recommendations
  • Anticipated objections
  • The probability of closing the prospect.

Sales effectiveness will become more measurable and consistent.

15. MANAGEMENT DASHBOARDS BECOME MORE INTELLIGENT AND PREDICTIVE

Instead of reviewing last month's results, we will ask:

"What problems will the club likely have next month?"

The AI dashboard may answer:

  • A labor shortage is expected after September 3 due to the reopening of local schools.
  • Banquet revenue continues to trend below budget and last year’s revenue at this time. This is a red flag.
  • The irrigation system is warning that the inner and outer heads around the green on hole 11 are at risk of failure.
  • Member resignations are likely to rise soon, given the recent 5.5% decline in club revenue compared to last year, and the S&P 500's 11% drop over the past 45 days.

Leadership shifts from reacting to anticipating.

THE TAKEAWAY

The big change is that management companies will not only offer scale and personal relationships but also provide dramatically greater intelligence, predictive insights, and operational capabilities.

In addition to these changes, the winners will be those who can learn from every club and apply those insights across all others. Every improvement, innovation, or best practice developed at one property could be shared with every other club in the portfolio almost immediately.

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