GPT-4 Shifted Advantage to Incumbents

GPT-4 shifted advantage away from thin AI wrappers and toward companies that already owned real healthcare workflow. In Kry’s case, the hard part was never building a chatbot or note taker. It was signing public payer contracts, integrating with prescription and lab systems, employing clinicians, and moving patients from triage to treatment. Once the base model became widely available, point tools lost scarcity, while companies with patient traffic and care delivery infrastructure gained leverage.

• Kry already had the full care loop in place. Patients answer symptom questions in the app, see a clinician by video, get prescriptions, lab orders, referrals, and in some markets in person follow up. That lets AI sit inside the actual encounter, not as a standalone widget looking for a customer.
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• The comparison is between workflow owners and feature vendors. AI scribe and diagnosis startups can sell documentation help, but platforms like Kry can build similar features in house and use them to improve coding, clinician throughput, and payer economics across millions of visits.
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• Healthcare makes this even more skewed toward incumbents. Distribution runs through contracts, compliance, EHR links, and trust. Small vendors can win niches, as Freed did with self serve scribes for small practices, but replacing a scaled telehealth operator requires patients, clinicians, reimbursement, and operational depth all at once.
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The next phase is fewer standalone AI point solutions and more AI embedded into the companies that already deliver care. The winners will use foundation models to remove admin work, improve triage, and push more visits into subscription and value based payment flows, while turning scale, trust, and contracts into an even stronger moat.