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- 🚀 OpenAI’s revenue doubles to $40B
🚀 OpenAI’s revenue doubles to $40B
Plus, Apple teams up with Alibaba for AI
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Welcome back, AI Admirers!
Breaking News: OpenAI just hit $40 billion in annualized revenue, doubling its sales pace from late last year. The massive surge is driven by software developers buying its coding tools and rapid adoption across corporate workforces.
Get ready to dive into the latest happenings in AI.
📢 Today's Headline:
OpenAI hits $40B in yearly revenue
Apple builds a custom AI for China
Anthropic targets a wild $2 trillion IPO
Unforgetful: persistent alerts that work
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Today’s Poll and Results
Read time: 4.0 minutes!
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Hand-picked News
OpenAI just proved that developers will happily pay real money for software that writes code, even as its executive door keeps spinning.
The company hit a $40 billion annualized run rate, doubling its $20 billion figure from the end of last year.
Corporate demand for the Codex coding agent and workplace tiers doubled the paid business customer base to 2 million.
Anthropic claims a $47 billion run rate, turning the race for corporate software budgets into an absolute brawl ahead of expected public filings.
To keep up with enterprise scale, OpenAI replaced its revenue chief with former Wiz executive Dali Rajic.
Companies are moving fast from basic chatbots to autonomous agents that write and deploy code, turning developer tools into the single biggest revenue driver in tech right now 👀.
If you build software, test your workflow against dedicated coding agents to see if delegating boilerplate code saves your team measurable engineering hours this week.
Apple is quietly splitting its AI stack in two, building a custom Chinese model with Alibaba because Beijing won't let Western tech run inside its borders.
Rather than just plugging into local apps, Apple trained its own specialized model using Alibaba's infrastructure to keep software control over Siri.
Apple could become the first foreign company approved by Beijing to deploy a proprietary AI model in China.
Local rivals like Huawei have been crushing iPhone sales by embedding native AI tools, making this a high-stakes salvage mission for Apple's largest foreign market.
China bans foreign models like Google's Gemini, forcing Apple to engineer a parallel version of Apple Intelligence specifically to clear local regulatory hurdles.
Splitting consumer AI into distinct geopolitical versions is no longer theoretical; multinational tech is now building fractured, region-locked AI systems to stay compliant ⚠️.
If you run global apps, prepare your product architecture for strict regional AI data boundaries instead of relying on a single worldwide API endpoint.
Wall Street is about to put the entire AI valuation bubble to a real test as Anthropic targets a public debut that could rival nation-state economies.
Backers expect Anthropic to seek a $2 trillion valuation when it lists, surpassing SpaceX's recent record-breaking $1.77 trillion market debut.
Anthropic's run rate hit $47 billion in May, with insiders projecting revenue could reach $120 billion by late 2026.
Elon Musk's SpaceX paid $60 billion for coding tool Cursor, folding developer tools straight into Grok to build a direct rival to Claude.
High private valuations mean public markets will demand real operational margins rather than simple revenue projections.
If Anthropic lists anywhere near $2 trillion, public markets will aggressively reprice every AI startup based on real enterprise software retention rather than model benchmark scores ⚠️.
If you evaluate vendors, track how price cuts on lower-cost models affect your long-term software licensing terms this quarter.
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🚨 Quick Poll
Today’s Poll:
OpenAI is rushing to go public on Wall Street. Will an IPO make ChatGPT better or ruin it? |
Vote today, see the results tomorrow!
Previous Poll:
OpenAI's 14x speed vs Claude's fast mode. Does AI speed even matter?
A) Yes — speed = real usability – 50% 🏆
B) No — accuracy > who's fastest - 50% 🏆
A dead-even split basically means nobody's actually sure what they want from AI yet — half of us are optimizing for "fast enough to feel magic," the other half got burned by a hallucinated answer at lightning speed and now trust > tempo. Classic case of people wanting a Ferrari that never crashes, and refusing to admit those two things might be in tension.
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