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What Is Physical AI?
And the week's top AI news!
Hello readers,
Welcome to the AI For All newsletter! Today, we’ll be exploring Physical AI, the AI-fueled skills gap, and more!
AI Decoder: “Physical AI”

With new AI terms and buzzwords flying around daily, it’s easy to lose track of what actually matters. Here, we break down the concepts that are beyond just hype and are already changing how real businesses operate. This week: Physical AI.
The next big wave in AI is intelligence that can see, sense, and even act in the physical world. Known as Physical AI, this emerging category blends sensor data, real-time computing, and adaptive algorithms to turn real-world spaces into intelligent systems.
The benefits of this combination work in both directions and form a virtuous cycle: The physical space generates operational data for AI solutions to process, evaluate and learn from. The AI pores over these vast and constant streams of physical data to reduce bottlenecks, anticipate problems, and inform how the work in that physical space should go.
Where earlier generations of automation could only follow pre-programmed rules, Physical AI allows businesses to adapt to changing conditions. Imagine a system that not only spots an unexpected bottleneck in a service process but also recommends re-routing workflows to maintain throughput, or one that not only detects a missing asset but anticipates the impact on operations and alerts managers instantly.
At the heart of this shift is computer vision, which enables AI to understand context, track physical assets, and even flag operational bottlenecks as they unfold. Companies are already using vision-based Physical AI to detect product defects, locate lost inventory, and boost service throughput, without adding staff.
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🔥 Rapid Fire
NVIDIA forecasts decelerating growth after two-year AI boom
Commentary: The AI vibe shift is upon us
Sam Altman admits OpenAI ‘totally screwed up’ GPT-5 launch
Red flag: OpenAI employees start cashing out in $8 billion stock sale
Microsoft talks set to push OpenAI’s restructure into next year
Researchers are already leaving Meta’s new ‘superintelligence’ lab
Special report: Meta’s AI rules let bots hold ‘sensual’ chats with children
Are AI tools making doctors worse at their jobs?
A 16-year-old company is easing small businesses into AI
Hackers used Anthropic’s AI to commit large-scale theft
Someone created the first AI-powered ransomware using OpenAI's gpt-oss:20b
‘AI slop’ videos are taking over the internet
Taco Bell’s AI drive-thru plan gets caught up on trolls and glitches
Brain-inspired reasoning model challenges ChatGPT and other LLMs
Old AI is beating new AI—and here's why it matters
Anthropic will start training its AI models on chat transcripts
Struggles to learn AI are making an impact on Wall Street
📖 What We’re Reading
“Many UK business leaders expressed hope that the advent of AI would yield new solutions to the skills gap. They reasoned that new AI solutions would provide new opportunities for automation that would reduce some skills shortages.
Here in 2025, it's becoming clear that AI has started making things worse rather than better. To elaborate, here's a look at AI's impact on the UK's talent shortages, and at some of the roles now in even higher demand.”