The Intelligent Fitness Operator: Thriving in the Age of AI

The fitness industry is changing fast, and AI is leading the charge, shaping how we work, plan, and communicate. 

That was the focus of ABC Fitness’s webinar, The Intelligent Fitness Operator: Thriving in the Age of AI. The session brought together ABC Fitness leaders from marketing, business, strategy, and sales. Together, they explain how AI in the fitness industry is shaping retention, personalization, forecasting, automation, and ROI.

Speakers included:

• Lacy Ford, Chief Marketing Officer, ABC Fitness
• Oliver Merrick, Chief Business Officer, ABC Fitness
• Mo Ekbal, Chief Strategy Officer, ABC Fitness
• Lee Robinson, Head of Sales, ABC Fitness

Building on the webinar insights, we look at what operators need to put AI into practice: connected data, a clear starting point, defined ownership, and a simple way to measure business impact.

Watch the on-demand webinar now!

What Is AI in the Fitness Industry?

AI in the fitness industry now appears in four main forms: 

1. Predictive models that forecast churn, demand, and revenue
2. Generative tools that create workouts, content, and messages
3. Agentic systems that complete tasks like follow-up, scheduling, and payment recovery
4. Computer-vision fitness models that turn movement and wearable data into feedback.

How those models create value depends on who is using them:

• Multi-location operators: 

AI shows up in network-wide reporting and forecasting. It helps teams compare clubs, spot performance gaps, and decide where to focus. ABC Ignite brings data from each location into a single view.

• Smaller gyms and studios: 

AI can identify early signs that a member may leave. The ABC Glofox Churn Predictor analyzes more than 16 signals and patterns from over 41 million members. It classifies each member’s risk as low, medium, or high.

• Personal trainers: 

AI reduces the time spent on work surrounding coaching. Trainerize research found that 64% of trainers use it regularly and find it helpful. Marketing and content creation ranked highest at 71%.

• Members: 

AI shapes workout recommendations, behavioral nudges, wearable insights, and connected-equipment guidance. The AI Workout Builder, for instance, generated more than 40% of workouts created by participating coaches. Coaches could still review and adjust every result.

Read More: ABC Fitness Introduces AI-Powered Operating Infrastructure for the Global Fitness Industry 

How Fitness Industry Experts Use AI Daily 

“AI isn’t the future of work; it’s the infrastructure of it.” That’s how Mo Ekbal, Chief Strategy Officer at ABC Fitness, framed it. 

The distinction matters: AI creates more value when it becomes part of an existing workflow, rather than another tool employees have to manage.

Nearly every business function now has some kind of AI layer built in, and the pace is accelerating fast. With ChatGPT hitting 100 million users in eight weeks, the companies that learn the fastest will be the ones that lead.

For Mo, AI has become part of his daily rhythm. 

He uses Microsoft Copilot to pull insights from hundreds of emails and meeting transcripts, Perplexity for quick, verified research, and ChatGPT as a partner to shape and refine LinkedIn posts. 

⌛He estimates these tools save him close to 8 hours a week.

For fitness operators, the same approach can accelerate regional reporting, summarize meetings, surface action items, and reduce the time between finding an insight and acting on it.

Oliver Merrick, Chief Business Officer at ABC Fitness, sees it the same way. He uses AI as a “thought partner” to brainstorm, structure ideas, and figure out how to measure the real impact of AI adoption across the company.

That means measuring outcomes rather than activity: time saved, follow-ups completed, forecasts improved, or revenue protected, not simply how many employees opened an AI tool.

Lastly, Lee Robinson, Head of Sales at ABC Fitness, likes to break AI use into simple buckets:

1. Q&A tools for everyday problem-solving.
2. Research and content creation to speed up marketing and outreach.
3. Forecasting and modeling to understand revenue and margins.
4. Fitness business automation, where AI removes repetitive work and gives staff more time to focus on members.

“Ultimately, that’s what matters (with AI use), freeing up your team to spend more time with customers, not screens.”– Lee Robinson, Head of Sales, ABC Fitness.

The most useful starting point is the category tied to an existing operational bottleneck, along with one measure that shows whether AI is improving it.

Top 4 Key Risks and Challenges of AI Adoption for Fitness Operators

AI can create real business value, but only when it’s built on the right foundation. 

Oliver said the best way to start is simple: “Focus on the business impact first, then work backward.”

During the webinar, the panel outlined four major challenges most operators face today:

1. Legacy systems that cannot support a complete workflow

Legacy systems are not a problem simply because they are old. They become a problem when they cannot share data or trigger action.

If an AI tool detects churn but cannot see attendance across locations, its prediction is incomplete. Ask vendors to demonstrate one workflow from end to end:

• Which systems supply the data?
• How frequently does that data update?
• Where does the insight appear?
• Can staff act on it without exporting a spreadsheet?
• Does the completed action return to the member record?

If that chain breaks, AI adds another dashboard instead of improving operations.

2. Siloed data that produces incomplete or conflicting answers

Siloed data is different from a legacy system. The software may be modern, but the information is split across platforms that do not communicate properly.

One platform may hold attendance data. Another may manage payments. A third may store member messages. This leaves predictive gym analytics working with only part of the picture.

The problem becomes larger across multiple locations. A visit, failed payment, or cancellation must mean the same thing in every club. The same member must also be recognized across every system and location.

Operators should first choose one source of truth for each type of data. They can then test whether the AI connects those records correctly.

Check Out: Reality Check: Data for Fitness Business Survival

3. Ethics, privacy, and compliance

The risk depends on what the AI is allowed to do.

Using AI to draft a marketing email carries limited risk. Using it to change a payment action, restrict club access, or recommend training after an injury requires stronger controls.

Require staff approval when an output affects money, facility access, health, safety, or a member’s training plan. Limit which data fields each tool can access, keep a record of automated actions, and confirm that staff can explain and override the result.

This follows the principle that AI should be reliable, transparent, privacy-enhanced, and accountable, with human oversight when an outcome could affect an individual.

4. Data and insights that nobody uses

Lee Robinson summarized the issue clearly: “The real challenge is how you capture and use the right data.”

A churn score has no value if nobody contacts the member, for example. Every use case needs a clear owner, action, deadline, and measure of success.

We can handle this by creating a task for a named staff member whenever the AI flags a high-risk member. That person is prompted to make contact within one business day. We then compare contact rates, rebookings, retained memberships, and protected revenue with the previous process.

How the Fitness Industry Is Adapting, or Failing to Adapt, to AI

The fitness industry has always been driven by passion, energy, and community, but not as much by data. 

Mo described it this way: “We’ve done a great job at optimizing the physical experience, better lighting, better music, better classes, but the intelligence layer that connects it all has been missing.”

That’s starting to change. Early adopters are already using AI to forecast class demand, predict churn, and even automate personalized outreach, sometimes through voice. 

But adoption remains uneven. What needs to change for those who feel behind is mostly mindset, not just budget.

The operators thriving today are the ones starting to use AI like a teammate, not a threat, to experiment, to learn, and to move forward alongside industry leaders.

Before investing in a use case, operators should ask:

1. Is the required data unified and accessible?
2. Is the AI built into the team’s existing workflow?
3. Does it help the team act, or only display another insight?

Here is where AI is currently being applied:

#1. Member retention and churn prediction

AI member retention tools compare each member’s recent behavior with their normal routine. They can detect changes in attendance, bookings, payments, and app activity before a cancellation happens.

The result should help staff see who needs attention, why they were flagged, and when to make contact. 

ABC Glofox’s AI churn prediction, for instance, uses more than 16 data points to classify members as having low, medium, or high churn risk.

#2. Personalized workout programming

AI can produce a first workout draft based on a member’s goals, training history, available equipment, and preferences. A coach can then review, edit, and assign it.

This helps operators give more members a useful starting plan without increasing programming hours. 

The ABC Trainerize AI Workout Builder can reduce workout-building time by 50% while keeping the coach in control of the final program.

#3. Member communication and behavioral nudges

AI can identify when a person needs contact, not just write the message.

A new lead may need a response after hours. A new member may need help booking their first class. A regular member may need a check-in after their normal attendance pattern changes.

These prompts can run through text, email, chat, or voice. Staff can then handle conversations that need judgment or a personal response.

#4. Forecasting and gym operations

Predictive gym analytics can forecast class demand, revenue, staffing needs, margins, and payment risk.

Operators can use those forecasts to add a class before demand exceeds capacity, move staff to a busier shift, or retry a failed payment at a better time. This turns automation into a specific operational action rather than another report for managers to review.

#5. Fitness apps, wearables, and connected equipment

AI can use workout history, wearable data, and the equipment available at a location to make member recommendations more relevant. It might suggest a session that matches the member’s goals, adjust the next workout after a completed session, or lower the planned intensity when recovery data shows poor sleep or fatigue.

For operators, the value is continuity: the app, coach, and connected equipment work from the same member profile instead of giving disconnected advice.

What Changed in 2026: From AI Tools to AI Infrastructure

The first wave of AI tools sat outside the systems fitness businesses used every day. Staff had to open a separate tool, enter information, copy the result, and decide what to do next.

AI trends in fitness industry operations all point the same way in 2026: toward AI built directly into the software that already manages members, payments, bookings, workouts, and communication. ABC Fitness describes this as AI-powered operating infrastructure.

Here is what that means in practice.

1. AI agents can complete tasks

AI agents for gyms can now respond to inquiries, qualify leads, book tours, support class scheduling, and follow up after missed calls.

In July 2026, ABC Fitness acquired Replify to bring agentic AI into fitness operations. Replify’s virtual AI agents handle lead capture, tour bookings, class scheduling support, missed-call follow-up, and member communication across voice, text, email, and chat.

2. Intelligent Billing acts on payment risk

Intelligent Billing uses payment data to decide when to retry a failed payment. It can also trigger member outreach without waiting for staff to work through a manual list. ABC Fitness explains how AI payment recovery and smarter retry timing work.

This connects payment recovery with AI member retention. A failed payment is not only a billing problem. It can also become a cancellation if nobody acts.

[quote style] “ABC Fitness has been instrumental in eliminating in-house billing and switching our business model from all-inclusive to fees paid for additional services.” – Gary Castellano, COO, ClubFitness Greensboro 

Read the full story

3. Predictive retention identifies who needs attention

A churn model can spot changes in attendance, bookings, payments, and app activity. ABC Glofox explains how AI churn prediction identifies at-risk members before they cancel.

Staff can then see who needs attention, review the reason, make contact, and record the result within the same system.

4. AI Workout Builder supports coaches

The ABC Trainerize AI Workout Builder uses a client’s goals, history, and available equipment to create an editable workout draft.

When ABC Fitness announced its wider AI infrastructure strategy, more than 40% of workouts created by participating coaches were already being generated with the tool. The coach still reviews and adjusts each workout before assigning it.

5. An open AI platform connects the wider technology stack

ABC Fitness is also opening its data and payment infrastructure to operators, developers, and technology partners.

This allows businesses to connect their own AI tools to the systems where member and operational data already lives. It reduces the need to move information manually between disconnected products.

The test is simple: Can the AI use current business data, complete or support an action inside the existing workflow, and record the result? If not, it is still a standalone tool, not infrastructure.

Free resource: Download Embedded Everywhere: The Fitness Industry’s Roadmap to AI Adoption to see how billing, retention, coaching, and AI agents connect across the ABC Fitness ecosystem.

Where AI Shows the Strongest ROI & Where to Start: ABC Fitness AI Pilots

When it comes to AI, returns can scale quickly if you know where to look. Lee offered a simple rule of thumb: ”For every dollar spent on AI, aim for a 10x return.”

He pointed to Forma Gym, which is beta testing the Trainerize AI Workout Builder. Every new member receives a customized 90-day plan because the six-week and 90-day marks are the highest risk for drop-off. 

At a $150 monthly price point, even a small improvement in retention can compound into significant long-term gains. 

The system also eliminates one of the most significant barriers for members: decision fatigue. “AI removes the thinking friction of ‘what am I going to do today,’” Robinson explained. “It aligns workouts to each member’s habits, goals, timing, and preferences.”

See how fitness leaders are evaluating AI ROI. Watch the webinar on demand.

Mo added that AI’s most significant impact is in removing friction for both members and operators.

Within ABC Trainerize, AI is already integrated into coaching and engagement to analyze behavior patterns and automatically suggest adjustments to help clients keep progressing. Those small, personalized nudges, he said, have an outsized effect on retention.

He also pointed to partnerships that bring personalization into the physical space. 

ABC Fitness is working with EGYM and its connected equipment ecosystem, which integrates with EGYM Genius. 

These integrations localize workout recommendations based on the specific equipment in each gym, bringing personalization from concept to real-world experience.

Lee also noted that Gen Z members are already creating their own prompts and workout programs through AI tools like ChatGPT. 

“(Gen Z) They’re coming in with expectations. It’s up to operators to provide that service, wrap it into their memberships, and use it to keep members engaged.” – Lee Robinson, Head of Sales, ABC Fitness

Free Resource: Attract Gen Z to Your Fitness Business: The Ultimate Guide 

3 Barriers to Scaling AI in the Fitness Industry

Mo explained that true adoption happens when AI becomes part of everyday operations, not an extra layer sitting on top of them.

He suggested three key questions for any operator evaluating AI partners:

1. Is my data unified and accessible? If not, AI will struggle to deliver accurate insights.
2. Is intelligence embedded in my workflow, not just sitting on top of it? It has to fit naturally into your team’s existing workflow.
3. Does this tool help me take action, or just visualize insights? Real value comes from systems that guide decisions, not just display data.

These questions point to three common barriers.

1. Integration

AI has limited value when it sits in separate systems. Staff may receive an insight but still have to move between tools before they can act on it.

Operator response: Start with one workflow and identify which systems it needs. For a retention pilot, that may include attendance, payment, and communication data. 

Read More: Tool Sprawl Is Costing You Members: How to Unify Your Gym’s Tech Stack 

2. Talent

Every AI use case needs an owner! Without one, alerts may be ignored, results may not be recorded, and nobody knows when the process needs to change.

Operator response: Assign the pilot to a manager, trainer, or front-desk lead. Define what that person should review, what action they should take, and when an issue should be passed to someone else.

ABC Fitness has used company-wide hackathons and collaborative forums to help teams test ideas and develop new skills.

3. Mindset

Teams may expect an immediate return or assume AI should manage an entire process from day one. Mo cautioned that “AI ROI compounds over time,” so the first test should be judged against a clear business result.

Operator response: Run a small pilot around one measurable problem. Record the starting point, choose one KPI, and review the result after a defined period. The free Profit Acceleration 90-Day Playbook provides a framework for testing changes against revenue, retention, and operating costs.

What ABC Fitness Is Doing and Where Operators Should Start

At ABC Fitness, we are embedding AI across member acquisition, payments, retention, coaching, and daily operations. We’re also using AI internally to support our teams and speed up product development.

Our AI-powered operating infrastructure is designed to connect these capabilities through shared data and workflows. ABC Fitness has also opened its platform so approved partners and developers can build on its data and payment infrastructure.

This expansion depends on trust and transparency. Operators should understand what data a system uses, what it does with that data, and where human review is required. Members should also understand how their information is used and what benefit they receive.

Operators do not need to transform the whole business at once. Start with:

1. One business problem, such as failed payments or early member churn.
2. One small pilot with a defined start and end date.
3. One owner responsible for reviewing results and taking action.
4. One KPI that can be compared with the previous process.

Expand the pilot only when it produces a useful result, and the team understands how to manage it.

See how fitness leaders are approaching AI adoption, ownership, and ROI. Watch The Intelligent Fitness Operator webinar on demand.

FAQs

1. How is AI used in the fitness industry?

AI in the fitness industry is used to predict churn, recover failed payments, forecast demand, personalize workouts, respond to leads, and automate routine communication. The strongest applications connect an insight directly to an action inside the software staff already use.

2. Which AI use cases create value for gym operators?

The clearest value usually comes from high-volume tasks with measurable results. These include payment recovery, member retention, lead follow-up, class-demand forecasting, and workout creation. Operators should be able to compare the results with the time, revenue, or retention achieved through the previous process.

3. How can AI improve gym member retention?

AI can track changes in attendance, bookings, payments, and app activity. It can then flag members whose behavior suggests they may be at risk of leaving. The system identifies who needs attention, while staff decide how to respond.

4. What risks should fitness operators assess before adopting AI?

Operators should assess data quality, privacy, security, system integration, cost, and vendor reliability. They should also check whether staff can understand the recommendations and review important decisions. An AI tool should have a clear purpose, owner, and process for human oversight.

5. Will AI replace fitness coaches and gym staff?

AI can complete administrative work, create drafts, and identify patterns. It cannot replace the trust, judgment, motivation, and personal connection provided by coaches and staff. Its role is to give teams more time and better information for working with members.

From AI Tools to Intelligent Operations

Winning with AI is not about adding more tools. It is about connecting data, actions, and ownership around a clear business result.

When a churn alert leads to timely outreach, a failed payment triggers a smarter retry, or a workout draft gives a coach more time with clients, AI becomes part of the operation instead of a separate experiment.

At ABC Fitness, that is the shift we are building toward: AI embedded across the member journey, with people still responsible for the decisions and relationships that matter.

Watch The Intelligent Fitness Operator webinar on demand or download the free ebook Embedded Everywhere, where we break down our AI vision at ABC Fitness.

Ready to discuss what this could look like for your business? Book a 15-min meeting today!