OpenAI’s Sam Altman recently sat down with a handful of reporters in San Francisco to talk through GPT-5’s rocky rollout and OpenAI’s next chapter (spoiler: it’s bigger than chatbots). Because if today’s a little messy, you can always win by selling tomorrow.

Altman admitted the rollout of GPT-5 didn’t go as planned, but the reason wasn’t that OpenAI hit a wall on research but a lack of hardware:

This means the real bottleneck isn’t training, it’s inference. Altman claims OpenAI can (and did) build a better model, but running it would consume so much GPU power that only a limited number of users could actually use it simultaneously.

Altman sketched out a bold roadmap that stretches from trillion-dollar infrastructure to new computing paradigms (aka, a big shift in how humans interact with computers):

During the dot-com crash, the Nasdaq lost nearly 80% of its value. Today, analysts warn that the top 10 S&P 500 firms are even more overvalued, meaning a new crash could cut deeper. Still, experts stress this isn’t a system-wide bubble as AI infrastructure like chips and data centers still look solid. The real risk lies in speculative bets on unproven startups.

Making content is hard. Making good content, over and over again? That’s a whole different game. Syllaby.io can help you stay ahead.

Tired of the post-every-day grind?

Syllaby.io automates your entire content workflow. All you need is a topic—our AI does the rest.

✅ Get daily viral content ideas
✅ Auto-generate scripts tailored to your niche
✅ Instantly create faceless videos
✅ Bulk schedule across all your platforms

Syllaby is perfect for coaches, creators, and marketers who want to grow without showing their face or spending hours editing.

Try Free for 7 Days

Another AI tool, another W for the people. And this one’s a win for your time and your wallet!

If you’ve ever wasted time bouncing between tabs trying to find the cheapest flight, toggling filters, guessing travel dates, wondering if Cabo is cheaper than Charleston, then Google’s latest AI tool might be your new best friend.

Enter Flight Deals, a brand-new feature inside Google Flights that acts like your budget-savvy travel buddy. It’s designed for “flexible travelers whose number one goal is saving money on their next trip.” All you need to do is describe your dream trip in plain English, then let the AI do the digging.

Here’s what Google’s new AI-powered Flight Deals can do for you:

In 2023, IgniteTech CEO Eric Vaughan bet big on AI, calling it an existential shift for business. He invested heavily in training, reimbursed staff for AI tools and classes, and launched weekly “AI Mondays” to upskill every department. But after significant pushback, including outright refusals to participate, Vaughan replaced roughly 80% of his workforce, opting for a smaller team fully aligned with his AI vision. He described the overhaul as necessary to secure the company’s future, as “changing minds [on AI] was harder than adding skills.” IgniteTech’s story isn’t unique: one survey found that one in three employees “actively sabotaged” their company’s AI rollout.

AI isn’t just writing copy, it’s making the commercials too. Nearly 90% of big ad spenders are already using or planning to use generative AI for video spots, cranking out voice-overs, slick backdrops, and endless creative tweaks at a fraction of the cost. Small businesses are diving in too, with networks like ITV helping to level the playing field for smaller brands that couldn’t afford to create TV ads in the past. Ethical questions aside, industry execs say AI isn’t a passing fad, it’s the new engine of advertising.

AI may be creeping into office jobs, but trades are looking a lot sturdier. Geoffrey Hinton, the so-called “Godfather of AI”, says plumbers are safer than paralegals, and data from Microsoft and the Bureau of Labor Statistics seems to back that up. Gen Z is catching on: many are skipping pricey degrees for trade careers that feel less automatable. Robotics may eventually chip away at some tasks, but for now, skilled hands still have the edge.

Everyone wants bigger, better AI models. But when the fuel is generic data, the results usually sputter.

Building or refining generative AI models? This guide shows why scraped data falls short—and what to use instead. Learn how real-world behavior signals, clustering, semantic scoring, and visual diversity improve output. Plus, see how Shutterstock’s licensed data and services reduce risk and boost performance. Train smarter, faster, and more responsibly.

Download the guide

MIT just dropped a reality check on GenAI in the workplace: the hype is huge, but the results? Not so much. Out of hundreds of deployments, only about 5% have moved the needle on revenue. The rest are stuck in pilot purgatory. The difference comes down to execution, and the report makes it pretty clear what works (and what doesn’t).

If you want GenAI to work at work:

👉 Bottom line: MIT’s study indicates that GenAI isn’t broken, it’s just the rollout plan that needs improvement. In order to see real results, AI strategy has to evolve beyond duct-taping chatbots onto every workflow and calling it innovation.