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  • 🤯 Why Is OpenAI Burning $278 Billion?

🤯 Why Is OpenAI Burning $278 Billion?

New projections show OpenAI's $122 billion war chest running dry by 2028, while Sam Altman takes AI safety to the UN Security Council and a startup's AI out-predicts every human forecaster.

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OpenAI reportedly expects to burn through $278 billion by 2030 and could drain its $122 billion March raise by 2028, which means the world’s most popular chatbot is also its most expensive habit. Sam Altman will brief the UN Security Council on AI safety this Wednesday, which means the man building the technology is now explaining it to the people who usually handle wars. And a London startup’s AI just out-forecast every human in a major prediction tournament, which means the next person to say ā€œnobody saw that comingā€ probably just didn’t ask the machine.

In today’s AI Pulse

  • šŸ’ø OpenAI Eyes a $278B Burn – The $122 billion it raised in March could be gone by 2028.

  • 🌐 Altman Heads to the UN – The Security Council takes up AI safety this Wednesday.

  • šŸ”® AI Out-Predicts Humans – Mantic’s system beat every human forecaster, then raised $25 million.

  • ⚔ Quick Hits – IN AI TODAY

  • šŸ› ļø Tool to Sharpen Your Skills – šŸŽ“ AIGPEĀ® Certified AI-Powered WBS Specialist

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Aerial view of a colossal AI data center campus under construction at dusk

🧠The Pulse

OpenAI expects to burn through $278 billion in cash between 2026 and the end of 2030, the Financial Times reports, as spending on computing power outruns even a tenfold revenue surge. The projections suggest the $122 billion it raised in March could be exhausted by 2028, making fresh capital a necessity.

šŸ“ŒThe Download

  • The burn is historic – OpenAI projects $278 billion in negative free cash flow from 2026 through 2030, a figure Reuters said it could not independently verify.

  • Compute eats everything – The company expects to spend about $856 billion on computing power and infrastructure by the end of 2030, its single largest cost.

  • Revenue still rockets – Sales are forecast to climb from $36 billion this year to $350 billion in 2030, a cumulative $840 billion across the period.

  • The runway is short – The $122 billion raised in March at an $852 billion valuation is on track to run out by 2028, and with no IPO this year, OpenAI is reportedly in early talks for a round above $1.2 trillion.

šŸ’”What This Means for You

Every AI vendor you rely on is under pressure to turn usage into revenue, fast. Expect price changes, premium tiers, ads and harder enterprise upsells. Build AI workflows that can switch providers, track what each tool actually saves you, and log heavy single-vendor dependence as a risk on your register.

A technology executive seen from behind addressing delegates at a horseshoe-shaped council table beneath a glowing AI globe hologram

🧠The Pulse

OpenAI CEO Sam Altman will brief the UN Security Council in person on Wednesday, September 23, when the 15-member body meets on artificial intelligence and international security. His remarks are expected to cover international coordination, shared safety standards and OpenAI’s own safeguards, putting the frontier AI debate before the world’s top security forum.

šŸ“ŒThe Download

  • France called the meeting – France holds the Council presidency for September, and Foreign Minister Jean-NoĆ«l Barrot will chair the session during the annual gathering of world leaders in New York.

  • Shared rules are the pitch – An OpenAI spokesperson said Altman will focus on the need for international coordination and common safety standards, plus the steps OpenAI is taking itself.

  • Anthropic may be in the room – Diplomats expect high-level representation from Anthropic as well, though its attendance had not been confirmed when Reuters reported the story.

  • The timing is loaded – The briefing lands weeks after prominent AI leaders urged a coordinated slowdown, and three years after the Council first debated AI risks in 2023.

šŸ’”What This Means for You

AI governance is moving from company policy pages to the world’s top security table. Expectations set at that level eventually trickle down into regulation, procurement rules and audit checklists. Start documenting how your team uses AI, who approves it and how outputs get verified, because ā€œshow me your controlsā€ is becoming a standard question.

Analysts staring at a glass sphere filled with branching threads of light representing possible futures

🧠The Pulse

London startup Mantic raised $25 million in seed funding after its AI outperformed every human contestant in the Summer 2026 Metaculus Cup, a major online forecasting tournament. The system assigns probabilities to political, economic and cultural events. Radical Ventures led the round, joined by Microsoft’s M12, Thinking Machines Lab and Balderton Capital.

šŸ“ŒThe Download

  • Humans lost the leaderboard – Mantic finished ahead of every human forecaster in the tournament and was beaten by only one entrant, another AI bot.

  • Big names wrote the checks – Radical Ventures led the $25 million seed round at an undisclosed valuation, with Microsoft’s M12, Thinking Machines Lab and Balderton Capital participating.

  • Built by a DeepMind alum – CEO Toby Shevlane, a former Google DeepMind research scientist, co-founded Mantic with Ben Day in 2024 after forecasting AI-related world events became part of his job.

  • Forecasting is the whole product – Mantic specializes frontier models from other labs, backtests them on historical events and iterates, with hedge funds and trading firms circling and some companies and government agencies already using it.

šŸ’”What This Means for You

Forecasting is shifting from gut feel to machine-assisted probability. Tools like this could pressure-test project timelines, demand plans and risk registers before you commit. Build the habit now: state predictions as percentages, record them and score yourself later. People who calibrate their own judgment will get the most from AI forecasters.

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IN AI TODAY - QUICK HITS

⚔Quick Hits (60‑Second News Sprint)

Short, sharp updates to keep your finger on the AI pulse.

  • Amazon Just Added Kimi K3 to Bedrock: AWS made Moonshot AI’s Kimi K3 generally available on Amazon Bedrock. The 2.8-trillion-parameter open-weight model brings a 1-million-token context window, native vision and explicit prompt caching that cuts latency and input costs, aimed at long coding sessions and document-heavy knowledge work.

  • Nvidia Rebuilt How Companies Benchmark AI: Nvidia detailed AIPerf, the ground-up successor to its GenAI-Perf benchmarking tool. A multiprocess design keeps the test client from becoming the bottleneck, and support for 15+ endpoint types, realistic traffic patterns and GPU telemetry shows how AI systems hold up under real production load.

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That’s it for today’s AI Pulse!

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