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Prosthodontist · dental educator · AI-in-dental-education network

Early on, Bencharit explains why he ended up in dentistry at all — not medicine, which is what he originally wanted. His mother steered him there directly: "these medical schools are so far. I don't want you to go. Why don't you look into dentistry?"
When asked how dentists overcome their fear of AI, he doesn't reach for a hype pitch. He reaches for the darkroom: "Are you still developing your film? ...I mean, who does that anymore?"
He describes the moment that shaped his entire approach to teaching, on his first day as a resident: his program director told the incoming class, "somehow we're not here to teach you anything" — and explains why that line changed how he thinks about dental education for good.
Near the end, he draws the line he won't cross on AI adoption: "too much of medicine could kill a patient, too little medicine might not help the patient... you have to have a balance."
"We work in the patient mouth. So we are probably closer to you than most profession, and you work inside your mouth while you are conscious."
"Don't think about AI thing. Think about it as a technology."
"If they have an iPhone... they already use AI. So get on with the train or we will leave you behind."
You're a dentist, dental educator, or practice leader who's heard the "AI has no place in dentistry" argument from a colleague — or made it yourself — and want a working practitioner's answer, not a vendor's pitch. If you're weighing how to bring a resistant team along without a hard reset, this conversation gives you the exact analogy Bencharit uses to do it.
Set a timer for ten minutes. Write down every piece of technology in your practice today that you or your team accepted without a fight — digital x-rays, intraoral scanners, online scheduling, text reminders. Next to each one, write the year it arrived and how resistant people were to it at the time. Then look at whatever AI tool you're currently avoiding and ask which item on that list it most resembles. Bencharit's point is that the resistance pattern repeats — naming it for your own practice is the first step to moving past it.
If that exercise surfaces a real gap in how your team is being trained on AI or new technology, see how we train practices — built around the same idea Bencharit teaches his residents: train people to learn, not just to follow one procedure.