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Why OpenAI walked away from Sora
Plus: Google TV adds AI sports briefs
Rimsha Bhardwaj, Hasan Toor & Ihtesham Haider
March 25, 2026
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Today, we will talk about these stories:
The real signal in Sora’s shutdown
Gemini is getting serious on TV
Anthropic wants Claude to ask less
88% resolved. 22% stayed loyal. What went wrong?
That's the AI paradox hiding in your CX stack. Tickets close. Customers leave. And most teams don't see it coming because they're measuring the wrong things.
Efficiency metrics look great on paper. Handle time down. Containment rate up. But customer loyalty? That's a different story — and it's one your current dashboards probably aren't telling you.
Gladly's 2026 Customer Expectations Report surveyed thousands of real consumers to find out exactly where AI-powered service breaks trust, and what separates the platforms that drive retention from the ones that quietly erode it.
If you're architecting the CX stack, this is the data you need to build it right. Not just fast. Not just cheap. Built to last.
Sora ran out of room fast
Image Credits: Sora
Sora is already over.
OpenAI is shutting both the Sora app and the pro service just three months after signing a three-year Disney licensing deal for characters like Mickey Mouse and Yoda. On a bright phone screen, that looked like a huge step for AI video, but OpenAI now seems more focused on cutting costs and getting ready for an IPO.
This feels blunt. I think the real problem was the bill: OpenAI says it made about $13 billion last year and expects to spend roughly $100 billion over four years, and video generation eats far more compute than chat.
Hollywood will notice that. The labor fears and copyright fights are still here, while Disney is already shopping for other AI partners and the Midjourney case keeps moving.
If OpenAI would not keep funding Sora, who still can?
The TV wants your questions now
Image Credits: Google
Google is turning the TV into a catch-up machine.
Google TV is rolling out three Gemini features in the U.S. and Canada: visual responses, narrated deep dives, and sports briefs for leagues like the NBA, NHL, and MLB. From the couch, with the remote still in your hand, you can ask for the Warriors score, get a live scorecard, see where the game is streaming, or open a recipe with matching video tutorials.
This is practical. I think Google’s real goal is to keep simple searches, sports updates, and explainers on the biggest screen in the house instead of losing that attention to your phone.
That matters for media companies and streamers, because Google is shaping what people watch before they even open an app. The Gemini tab and “Dive deeper” prompt also push TV closer to being an answer engine, not just a menu.
How often will people ask the TV first?
Claude is starting to decide
Image Credits: Anthropic
Claude Code is getting trusted with more.
Anthropic’s new auto mode lets Claude Code decide which actions are safe to run on its own, with a safety layer checking for risky behavior and prompt injection before anything happens. It is in research preview, rolling to Enterprise and API users, and for now it only works with Claude Sonnet 4.6 and Opus 4.6.
This matters. The real shift in coding tools is not better autocomplete, it is handing the model judgment about when it can move without stopping to ask. I think Anthropic is pointing in the right direction, but the missing detail on how it labels actions as safe will make careful teams pause.
You can almost hear the laptop fan here. If this works in sandboxed environments, developers will get used to agents acting first, and competitors will have to match that speed without losing control.
How much trust will developers give a tool that writes the code and decides when to act?
Prohuman team
Covers emerging technology, AI models, and the people building the next layer of the internet. |  Founder |
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