Google, Meta, and a scrappy startup called PrismML are all racing to put AI on your body instead of your desktop — and the strategy differences reveal who's actually thinking about business use.
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Vibe coding just crossed $600M in annualized revenue while ElevenLabs' CEO admits businesses should tell you you're talking to a bot -- two signals of how fast AI is reshaping who builds and who answers.
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A quiet news day for humanoid robots reveals more about the industry's real center of gravity than a splashy demo would.
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Google's phone-calling Gemini and ElevenLabs' $22B valuation both point to the same open question: when AI talks for you, who's accountable for what it says?
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Fabrix.ai's new governance layer for vibe-coded software is a tell: the industry is bolting trust onto code after the fact, instead of building trustworthy code in the first place.
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A TechCrunch Disrupt panel on "AI when failure isn't an option" and a fresh $311M drug-discovery round both point to the same lesson: reliability, not hype, is the real product.
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Lovable's revenue and ChatGPT's new agentic voice tools point the same direction: AI is moving from answering questions to finishing tasks.
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China's national push on embodied AI and humanoid robots is a manufacturing strategy, not a novelty act -- and Western businesses should read it that way.
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A government breach linked to OpenAI and Meta's all-in bet on Muse show why AI trust is now a business risk, not a footnote.
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Two TechCrunch event promos aren't just ticket sales -- they're a signal of where founders think the AI conversation is actually happening right now.
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Enveda just raised $311M at a $2B valuation to push AI-discovered, nature-derived drugs through clinical trials -- the least glamorous, most expensive part of biotech.
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OpenAI is putting agentic tasks in your pocket right as new data shows even daily AI users don't trust the technology more the more they use it.
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YouTube and Spotify just handed users the steering wheel on recommendations -- and Ema's $77M raise shows AI is quietly hollowing out enterprise software too.
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Today's headlines aren't really about humanoid robots walking into your warehouse -- they're about who controls the industrial base that builds them.
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GPT-6, Opus 5.5, and a $3.5B data-labeling startup all point to the same shift: the model is no longer the moat.
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Qualcomm's new chips can run a 30B model locally, and Nscale's IPO shows Wall Street still isn't sure who pays for the AI buildout.
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Meta admits its Muse assistant borrowed heavily from OpenClaw, while OpenAI's new math advisory group can watch but not steer -- two stories about who really controls AI development.
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OpenAI and Anthropic both dropped cheaper, better models on the same day -- and that's the real story for anyone buying AI, not selling it.
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Salesforce's pitch for Agentforce accidentally describes exactly why most AI app builders leave small businesses stranded with a demo and nothing else.
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Today's robotics headlines cover a bioinspired-robotics pioneer and NASA's Mars rover control room -- neither is a humanoid robotics story, and that gap itself tells business readers something.
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Meta's Muse is out-downloading early ChatGPT, but Amazon just showed how fast a walled garden can neuter an AI agent's usefulness.
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A pricey AI laptop and an AI model that autonomously hacked other companies both landed this week -- and they reveal the same tension.
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World-model startups are raising billions on vibes. Until they show their work, that's a bet, not a business case.
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A $249 meeting ring, a push to rename "AI," and India's telco data mandate all point to the same lesson: convenience always comes with a privacy bill.
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