Your AI Coach Is Coming — And It Will Make Training Platforms Obsolete

Agentic AI Will Collapse the Economics of the Fitness Training Software Market — Not by Better Training, but by Replacing the Human Coach with a Trusted Alternative

You’ve seen in the last decade how training plans have progressed from generic paper plans to structured digital plans, and then to adaptive ecosystems that change today’s training suggestions based on several concepts of “readiness to train” using periodised principles.

The bottom line for successful fitness training is no longer sports science theory — it’s how accessible, affordable, and trustworthy the workout recommended for you today actually is.

I’ve been involved in coaching and writing training plans for over a decade. I consulted on adaptive coaching and readiness-to-train startups long before any of the major platforms introduced these ideas. Here’s what I think is about to happen. For anyone looking for a business opportunity… fill your boots.

The Market Is Optimised — But Directionless

Consider the full range of athletes — from beginners to keen amateurs.

Two segments dominate the endurance training market. Mass-market platforms like Garmin Connect offer free training features bundled with their hardware, including Daily Suggested Workouts. These are conservative, designed to be safe and broadly useful. They’re more than good enough for casual athletes and periods between structured training for more advanced athletes. Garmin’s lock-in is substantial — you already own the watch, the app comes free, and switching means abandoning years of data, familiarity and learning.

Serious amateurs occupy the second tier. They want advanced training that adapts to performance data and the unknowns of everyday life. They grasp concepts like periodisation, training load, and threshold pace, but really all they need is intentional progression toward their goal.

Sophistication Hasn’t Been a Disruptor

Third-party training platforms have effectively solved adaptive training in its current form. TrainingPeaks provides performance modelling and readiness assessment for $11–19 monthly. Final Surge is similar. Technically sophisticated options like AI Endurance offer machine-learning-driven plans with comprehensive adaptation characteristics for $12.99 per month. All serious market participants serve workouts to your watch of choice.

The innovative AI Endurance platform demonstrates that machine learning can manage training adaptation at a level comparable to traditionally coached programmes.  But where is the disruption?

Agentic AI As an Opportunity

You probably know that AI (like Gemini) is often described by first-time users as a better version of Google search. It’s obviously more than that, but its second wave of growth is already happening and centres on agents. Agent-based AI is known as Agentic AI.

Daily Suggested Workouts: Free, Useful — and Fundamentally Limited

In their current format, Daily Suggested Workouts really do reduce the need for decision-making, but they definitely stop short of complete delegation. They’re designed to be safe at scale, not the perfect option for today. They respond well to recent training and recovery, but never optimise long-term progression for higher-level athletes.

Most committed athletes use them:

• Between training blocks
• During unstructured periods
• When they don’t want to think too much

The issue isn’t accuracy — it’s intent. These systems optimise for “reasonable today,” not “optimal on race day.” As a result, you tolerate them, but don’t fully delegate to them.

The Real Bottleneck: Trust and Cognitive Friction

Interactive training platforms ask a lot of you. You have to review calendars, charts, and readiness scores to decide whether to follow, modify, skip, or reschedule workouts. This takes time and creates a mental load of sorts — made worse when life intervenes through illness, stress, or travel. This is precisely when automated adaptation is most needed, but you are forced to stay in the loop.

Agentic AI: Delegation Built on Trust

Agentic AI platforms are built around delegation, not tools, options and charts. You set a goal once, grant access to health and lifestyle data, and the system owns the outcome.

Trust is either earned over time through consistency and results or perhaps initially through a personal recommendation from a friend.

Once that trust exists, complex training ecosystems become redundant.

Market Impact: Collapse, Not Replacement

Free adaptive workouts already exist. What doesn’t yet exist is a system that athletes and simple fitness-goers trust enough to stop the need to think about training options entirely.

When that threshold is crossed, platforms built for repeated interaction and decision-making lose relevance. The only exception would be self-coached athletes who want control.

Training Software Stops Being Software

You set goals, grant data access, and train. Adjustments happen quietly. Interaction is optional.

The middle tier collapses — not because the quality of workouts declined, but because you no longer need or want to manage the process at all.

The Impact of Agentic AI Training on Garmin and Hardware Vendors

Hardware vendors are infrastructure and will continue. It’s the service companies — training platforms dependent on decision mediation — who are most exposed.

Garmin Daily Suggested Workouts will survive as a “good-enough” differentiator for its Connect platform. Most hardware vendors will open their ecosystems to agentic AI plans due to market demand, just as they did for integrations like TrainingPeaks. The more material points of differentiation for sports watch companies will increasingly come down to aesthetics and execution quality on the watch.

Conclusions

A: No. Here’s why.

1. Focus: Persistently goal-oriented to multiple goals (e.g., sub-3:20 marathon on April 15)
2. Trade-off reasoning: Safety vs outcome judgments are made for you
3. Tactical reactivity: Continuous re-planning across periodised training cycles
4. Decision authority: Evaluation disappears; just do it.
5. Context integration: Physiological + real-world inputs (calendar, stress, weather). Everything is considered.
6. Skill agnosticism: From Olympians to parkrunners
7. Platform agnosticism: Data-source independent (First step: Apple and Google open Health to the AIs in January 2026)
8. Learning specificity: Learns how YOU respond
9. Cost: Bundled for free into our must-have annual AI subscription
10. Human role compression: Coaches shift to oversight and problem solvers

Once AI achieves RSI – Recursive Self-Improvement – its abilities will increase exponentially. The rate of change you’ve seen over the last two years is nothing. The next disruptions will happen soon – meaning 2026-2028.

The fitness training software market is about to be re-priced and re-shaped. What can be digitised will be. The biggest losers won’t be athletes — but the platforms built around keeping them involved.

All you have to do is the exercise you’re told. And trust in the process.

Last Updated on 26 January 2026 by the5krunner

the5krunner

tfk is the founder and author of the5krunner, an independent endurance sports technology publication. With 20 years of hands-on testing of GPS watches and wearables, and competing in triathlons at an international age-group level, tfk provides in-depth expert analysis of fitness technology for serious athletes and endurance sport competitors.