Clinic or Algorithms? Why Preventive Fitness’ Winners Will Choose Neither

Welltech pioneer InsideTracker explains the new third model allowing fitness operators to deliver biology-based, hyper-personalized healthspan guidance at scale

What’s notable: they’re looking for these insights outside the traditional healthcare system, which is built on managing existing conditions. For fitness brands, this shift has created a new opportunity to become the front door to preventive health.

“People have grown far more proactive about their health, and traditional healthcare isn’t built to meet them there,” says Rony Sellam, Chief Executive Officer at welltech pioneer InsideTracker. “Gyms, studios, and other fitness destinations are a natural fit for that movement. They’re evolving from a place to work out to a place to optimize your health.”

But first operators at those fitness destinations must figure out how to deliver what wellness-focused consumers are now demanding: not just workouts, but tailored, actionable, and credible health guidance. 

Two paths most operators consider

Until now, most fitness brands have had just two viable strategies to expand beyond exercise into personalized longevity, nutrition and recovery solutions. 

The first is adding more familiar faces: building out teams of coaches, clinicians, or other human experts consumers already trust to deliver tailored one-to-one care. The second is to embrace one of the growing number of AI-powered, one-to-many coaching platforms. Both approaches offer advantages, but each has limitations that are hard to ignore.

Perhaps the biggest: neither is fully aware of what’s happening inside members’ bodies or how to react to it. For gyms and studios to make the transition to trusted longevity partners, that deeper biological knowledge is key. 

“We believe two key goals will push winning brands into that upper tier: finding a way to democratize access to personalized, evidence-based healthspan guidance, and treating biology as the organizing foundation of their personalization strategy instead of one input among many,” Sellam says.

Tradeoffs either way

Between teams of bandwidth-limited experts and AI-driven coaching platforms, many operators are finding that neither model enables them to provide tailored, rigorous health guidance across their membership base.

Human experts can deliver something technology still struggles to replicate: judgment. A physician, dietitian or coach can recognize subtle warning signs through interactions that build trust. But that headcount is difficult to scale. Every new team member has to be recruited, onboarded, and managed.

AI offers efficiency. LLMs can track and analyze strength, mobility, balance, body composition and cardiovascular performance, then automatically adjust programming as members improve. The technology scales, creating a highly personalized experience without adding staff or operational overhead.

The challenge: most AI systems don’t yet dig deep enough. They know how much weight someone lifted, their recovery time between sets, and whether balance, mobility or HRV improved from week to week. What they don’t know is why.

That’s an increasingly important distinction as consumers begin expecting fitness brands to provide deeply personalized, actionable health guidance, not simply better workouts.

“Having a credentialed pro in the room has big benefits for each individual, but that can only be in so many rooms with so many members. Meanwhile, AI can’t personalize on data it can’t access, so its flexibility only goes so far,” Sellam says. “Fitness brands need a solution that gives them the best of both: trusted, clinical-grade guidance, delivered at AI scale.”

The Missing Layer

For years, personalization in fitness has centered on observable behavior and readily trackable data. As many fitness brands are discovering, two members can follow identical training programs and achieve completely different outcomes because of differences in things like their metabolic health or recovery capacity. Without understanding those underlying biological factors, personalization — in person or virtual — is inevitably limited and superficial.

To address the gaps in both models, operators need both biology-level data and systems that can interpret it at scale—something neither clinical teams nor off-the-shelf AI platforms can provide.

“Coaches will always be a vital touchpoint for fitness brands, but relying on human expertise creates an inevitable bottleneck,” says Sellam. “AI makes recommendations easy to generate in volume, but the quality of those outputs is totally dependent on the data and domain expertise underneath them, so leaning into AI before solving for expertise and data foundation is simply a recipe for automating generic advice at scale.”

Today, many fitness brands are still caught between these two models — and both are falling short of delivering the preventative health guidance consumers are demanding

Trust is Key

The more AI-generated wellness advice consumers encounter, and thinner coaching teams are stretched, the more portable expertise will become a competitive advantage for brands aiming to scale personalized experiences without compromising accuracy. To avoid bottlenecking growth with human trust backstops, brands need technology-enabled personalization solutions that deliver credibility by design. 

“Fluency doesn’t earn trust, transparency does,” Sellam says. “Whether they’re being guided by a human coach or an AI coach, members should be able to see that guidance is grounded in best-of-breed science, not asked to take it on faith from a confident source.”

For operators, that means choosing technology that explains where recommendations come from and what evidence supports them. The more transparent the guidance, the more confidence members will have in acting on it.

For brands assessing the accuracy and credibility of different technological solutions, Sellam recommends vetting potential partners on how they embed scientific rigor in the personalized guidance they generate for users. In the meantime, he also suggests capturing as much member demographic, behavioral and biological data as possible upfront. 

“The value of any future model will be dramatically increased by the right intelligence partner, their datasets, and their trust strategy. But it also depends on the history you’ve built by the time you switch on your selected personalization solution,” he says. “The more you know about your members, the more you and your partner can pinpoint their exact needs, behaviorally and biologically.”

A New Third Option 

To meet consumer expectations, and scale both personalization and credibility, fitness operators no longer have to choose between building expensive coaching teams or relying on AI systems trained primarily on behavioral, lifestyle, or movement data. A new category of technology is emerging that combines scalable AI with biology-based personalization grounded in scientific evidence.

Rather than relying on AI to make educated guesses, InsideTracker’s Terra^TM platform begins with biologic, physiologic and genetic data used to create individualized guidance across activity, nutrition, recovery, supplementation and lifestyle.

Designed as a modular intelligence layer for health and fitness organizations, Terra combines explainable, rules-based AI with guidance backed by more than 7,000 clinical studies. The platform transforms biological data into highly personalized recommendations while maintaining the transparency operators need to earn member trust.

With Terra, fitness brands can achieve all of this without choosing between clinicians and algorithms. The scientific rigor, biological intelligence and human expertise provide a member experience that is both personal and infinitely scalable.

“Today, members aren’t really paying for coaches, labs or data tracking,” Sellam says. “They’re paying to know what their body is telling them about their health and the tailored health strategies they can follow to optimize it. That’s exactly what we’re enabling at scale.”