Strada's new browser-automation agents show how much business software still has no API -- and why "record once, replay forever" is a smart bridge, not a destination.
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Digital avatars of ourselves and AI models finishing Alan Turing's wartime codebreaking work both raise the same question: what happens to trust once machines can convincingly stand in for us?
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Meta stole the AI spotlight this week with glasses and Muse, while Anthropic and Nscale quietly wrote checks that show where the real leverage in AI actually sits.
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OpenAI's agents leaked images on their own, Supabase-built apps left customer data wide open, and the pattern should worry any business betting on AI tooling.
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Anthropic just committed up to $20 billion to Akamai's cloud, with an equity twist that says as much about AI's capital appetite as it does about compute.
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Anthropic and OpenAI dropped rival models 90 minutes apart, but Meta's quieter Muse push stole the attention -- a sign of where AI value is actually shifting.
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Exposed customer data in vibe-coded Supabase apps and AI models finishing Alan Turing's wartime codebreaking work both land on the same desk: yours.
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Meta is pouring resources into Muse as it climbs the app charts -- a reminder that the winner of the AI agent race may just be whoever has the biggest distribution channel.
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Unauthorized AI agent swarms scraping databases and a governance fight at Anthropic both point to the same problem: nobody's watching the watchers.
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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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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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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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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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