AI का वो सच जो Tech Bros छुपा रहे हैं | क्यों रुक गए Mega AI IPOs? #bulltrack
In one week, the chiefs of Anthropic, OpenAI, xAI and Google DeepMind all said the pace of AI needs to slow down. That same weekend, OpenAI pushed back its IPO. Both companies had filed IPO paperwork in June.The safety concern is real. It is also three years old. So the question this video asks is a different one: why did four fierce rivals agree in the same week, and what changed on their balance sheets rather than in their labs?
The numbers tell their own story. In 2024 the big hyperscalers barely borrowed from the bond market. By the first half of this year, AI-linked borrowing had exploded — a rise of roughly 970%, plus an estimated $1.65 trillion once off-balance-sheet obligations are included. Oracle's capex this year is running at about twice its own operating cash flow. All of that was raised when money was cheap. Now crude is above $100, the US 10-year is near 5%, and the Fed has set expectations for hikes rather than cuts.
When money gets expensive, the projects that get cut first are the ones whose revenue is furthest away. AI data centres are exactly that kind of project.
We use a simple analogy anyone can follow — an under-construction flat, a home loan that repriced from 8% to 11%, and what you actually say to the builder when your EMI is choking you.
Then the part that matters for your portfolio. This year the Nikkei is up around 40%, the S&P around 12%, and the Sensex is down around 10% — the worst performance among nine major markets. That isn't because India got worse. It's because global money has been buying one thing, and India doesn't sell it. If that build-out genuinely slows, the largest competitor for global capital shrinks. Nifty's one-year PE is near 20 and market cap to GDP is around 119%, well off the September 2024 peak. India is arguably the most under-owned large market in the world right now.
But we also give you the other side honestly: if AI capex slows, Indian power, data centre and capital goods names de-rate too. And if it's a crash rather than a slowdown, everything falls first — India included. The upside is slow. The downside comes first.
Plus: what China does if America pauses, why US lawmakers rejected the idea outright, and the antitrust question now being raised about a coordinated industry slowdown.
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⏱️ CHAPTERS
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00:00 The week four AI chiefs agreed to slow down
00:59 Two years of money going to one place
02:00 What is the actual fear?
02:10 The resignation that got 90 million views
02:50 The UN warning and the Senate bill
03:27 The other side: the 2026 AI Safety Report
04:05 The question this whole video is about
04:14 The under-construction flat analogy
05:24 What happened to hyperscaler balance sheets
06:42 Why expensive money kills long-payback projects
07:07 Is the safety concern fake? No — and that matters
07:37 The timeline, day by day
08:21 Why they can't just cut spending quietly
08:35 The "shake out retail" theory
09:42 Not one model has actually been delayed
10:09 What does China do?
10:41 The antitrust question
10:50 Where India's money stands in all this
11:21 The most under-owned market in the world
11:39 The other side: what could go wrong
12:20 What the next four months will tell us
12:29 Summary in five points
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. This video is for educational and informational purposes only and does NOT constitute investment advice or a buy/sell recommendation. All data is from publicly available, named sources and has been independently verified.
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