HearingTracker: How important is the involvement of the hearing care professional in an AI-driven rehab model like this?
Taylor: It's essential. I see AI as a support tool, not a replacement for the provider. The platform works best in the hands of a clinician who knows how to introduce it, motivate the patient, and connect it to the person's goals.
One of the things that makes today's tools different is that they can fit more naturally into the clinical workflow. Through apps and messaging, you can remind patients to do exercises, track their progress, and in some cases, review outcomes if the patient chooses to share that information. That creates more continuity between office visits and keeps the professional up to date on how their clients are doing.
In the end, the clinician still must be the hub. The human piece—counseling, motivation, expectation-setting, and interpretation—doesn't go away.
HearingTracker: You've been around the industry long enough to watch multiple waves of innovation. How do you see AI changing hearing care over the next five years?
Taylor: I think AI will increasingly handle a lot of the technical tasks that have traditionally required deep programming knowledge. From a hearing aid perspective, some of the thinking around compression, kneepoints, maximum power output, and even matching targets will become more seamless. In some ways, that may turn some of the technical fine-tuning work into a lost art.
But that doesn't mean clinicians become less important. In fact, I think it puts even more emphasis on the parts of care that AI can't fully replace. People often wait a long time before getting help. They develop maladaptive habits and behaviors around their hearing loss. Helping them move through that process still requires expertise, empathy, and practical counseling.
So, if you ask me, I think AI will take over more of the technical heavy lifting in hearing aid programming, while making the provider's human role even more valuable.
HearingTracker: Do you think the hearing industry has focused too heavily on aids and not on the more human factors surrounding hearing loss?
Taylor: Yes, and that's been one of the big themes of my own thinking as I've made the shift to this new area. The industry tends to focus on the product launch cycle—what's new in the chip, what's new in noise reduction, what's new in connectivity. Don't get me wrong: these are very important, of course. But the fact is that most of the major players have very good technology.
The bigger opportunity may be in what happens between the initial fitting day and the point where the patient is truly functioning better in daily life. If we want to talk seriously about outcomes, then we have to talk about aural rehabilitation, too.
That's a big part of what makes this next chapter interesting to me. It's a chance to help shift the conversation away from devices alone and toward treatment more broadly—which in a lot of ways really lies at the heart of audiology and the history of our profession.
HearingTracker: Do you think tools like Neurotone AI might help push hearing healthcare toward a more outcomes-based model?
Taylor: I think it's possible. At the very least, these tools can help providers reframe the value of what they do. Instead of focusing only on the product, you can focus on the process and on the patient's progress over time.
I also think it opens up new opportunities for practices to differentiate themselves. If you're using auditory training thoughtfully and integrating it into care, that becomes part of your value proposition. It tells patients that you're not just selling a device—you're supporting adaptation and communication success.