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OpenAI wants your bank data next
Plus: AI diagnosis moves beyond text
Rimsha Bhardwaj, Hasan Toor & Ihtesham Haider
May 18, 2026
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Today, we will talk about these stories:
ChatGPT moves into personal finance
The AI backlash is getting louder
Medical AI gets a harder test
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ChatGPT is getting closer to your wallet
Image Credits: OpenAI
OpenAI now wants ChatGPT to answer questions using your actual bank accounts.
The company launched personal finance tools in preview for U.S. ChatGPT Pro users, with Plaid handling connections to more than 12,000 financial institutions. Users can see portfolio performance, subscriptions, upcoming payments, and spending changes inside ChatGPT on web and iOS.
This is the most practical version of “AI agent” I’ve seen from OpenAI because money questions usually need real data, not generic advice. It also raises the trust bar fast, since users will be linking Chase, Fidelity, Robinhood, American Express, and other accounts from a screen they may already use at night with a laptop open.
OpenAI says more than 200 million users ask ChatGPT financial questions each month, which explains the move. The next step is Intuit support, where tax impact and credit approval questions could pull ChatGPT deeper into real decisions.
The useful version of this product depends on whether people trust ChatGPT enough to let it see the numbers.
AI’s public problem is now a business problem
A graduation crowd booed when a speaker called AI the next Industrial Revolution.
Axios reports that only 18% of young people ages 14 to 29 feel hopeful about AI, while more than 70% of Americans say it is advancing too quickly. The mood is also showing up outside polling, with a record number of data centers canceled in the first quarter of 2026 after local resistance.
I think AI leaders have misread the room. They keep talking about inevitability while many people are worried about jobs, power bills, and who gets richer.
That gap now matters because AI growth depends on physical things: land, power lines, permits, cooling systems, and neighborhoods willing to live near the noise. A server building can look very different to investors than it does to someone whose electricity bill arrives in the mail.
The technology will keep spreading, but the industry may have less room to force the pace than it thinks.
Medical AI is learning to ask better questions
Image Credits: Medical Harvard
This AI system did more than read symptoms in a chat box.
Researchers tested AMIE, a Gemini 2.0 Flash-based medical AI, across 105 simulated clinical scenarios using images, ECGs, and clinical documents. In 210 simulated telehealth consultations, it beat 19 board-certified primary care doctors on 29 of 32 evaluation measures, including diagnostic accuracy and patient-rated empathy.
That result is impressive, but the setting matters. A simulated chat with trained patient-actors is cleaner than a rushed clinic visit, a bad phone camera image, or a patient describing chest pain at 2 a.m.
The important part is the direction of travel: medical AI is moving from answering written questions to managing a consultation with missing information. That could help remote care, especially when a photo, scan, or ECG is sitting on the table and no specialist is available.
The next test is whether this works safely with real patients, real uncertainty, and real consequences.
Prohuman team
Covers emerging technology, AI models, and the people building the next layer of the internet. |  Founder |
Writes about how new interfaces, reasoning models, and automation are reshaping human work. |  Founder |
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