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Sixty billion for a code editor. Thirty-four billion in spend to earn thirteen. The money is still fast, still big, and it's moving toward anything that controls infrastructure or accelerates creation. What's shifting is who's buying it and what they're willing to pay.

AI tools are being priced like must-own assets, and the market is treating frontier-scale burn as a feature, not a flaw.

The question isn't whether this pace holds; it's whether your moat is deep enough to matter when it does.

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RUSHIN' ROULETTE



Five bullets of updates

  1. 🤖 Global AI assistant market sees ChatGPT’s share drop below 50% as Gemini hits 662M and Claude 245M monthly users.

  2. ⚙️ With 500M monthly users, Threads rolls out a "Your Algo" tool for personalized feed controls; see how it works here.

  3. 🌱 Former Microsoft engineers debut real-time AI carbon tracking to help slash emissions from data centers and pinpoint energy costs.

  4. 🔒 1Password’s move to real-time AI access control means better security for your bots as non-human agents get temporary, auditable permissions.

  5. 🤖 Respond.io’s AI handles 140M+ chats monthly and charges per conversation, driving global expansion and $62.5M raise for acquisitions.

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STARTUP NEWS



SpaceX buys $60B coding intern named Cursor

SpaceX is spending $60B in stock to buy Cursor, turning an AI code editor into a core part of its stack. Days after its blockbuster IPO, SpaceX is effectively recycling public-market enthusiasm into a long-term bet on in-house software automation.

This isn’t about nicer IDE features. Cursor is a full coding agent: own the agent, own the workflows that ship Falcon, Starship, and Starlink code. SpaceX gets a proprietary data flywheel from millions of developer interactions while keeping its most sensitive code off external models.

For startups, the message is blunt. AI-native infra is now strategic enough for a rocket company to pay social-network money for it. Expect more incumbents to buy their AI autonomy rather than build it, and valuations for proven agentic tools to reprice overnight as this becomes the new acquisition benchmark.

STARTUP TV



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The $7 Billion Startup Burning $700M a Year Zepto is going public at a $7B valuation, but their IPO filing reveals massive losses. Is 10-m... See more

BIG TECH NEWS



OpenAI spends $34B to prove it can lose $39B at $1T

Apparently “move fast” now comes with a $34B line item. OpenAI’s leaked financials show it reported $34B burn in 2025 against $13B in revenue, while quietly eyeing $1T IPO territory. Roughly $19B went to R&D and another ~$6B to sales and marketing—software margins traded for a compute land-grab.

The headline $39B net loss hides a leaner ~\$8B operating loss once one-offs are stripped out, but the direction is clear: this is a capital project, not a SaaS company. OpenAI is effectively committing $600B infrastructure through 2030 to buy an enduring moat in models and GPUs.

For founders, the bar just moved. Frontier model training is now a balance-sheet game; opportunity shifts to owning distribution, workflows, and proprietary data on top, or building niche infra where hyperscalers can’t justify this level of spend.

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