Table of Contents
INTRO
Open AI’s Secret next AI model — codenamed “Spud” — just finished training, and what Sam Altman said privately should send chills down your spine. This model is so powerful that OpenAI shut down its entire video platform, cancelled billion-dollar deals, and redirected every GPU it owns just to build it faster. AI Todays News has been tracking this from the inside — and what is happening at OpenAI right now is unlike anything this industry has ever seen. The company renamed its entire division to “AGI Deployment.” That is not a rebrand. That is a declaration.
[CONTENT 1]:
Just a few months ago, the tech world was celebrating. Microsoft, Amazon, Alphabet — Google’s parent — and Meta had locked in a combined target of $635 billion in AI spending for 2026. That figure was a staggering jump from $383 billion the prior year, and light-years ahead of the mere $80 billion spent back in 2019. Yahoo Finance This was supposed to be the year AI went from a promising technology to the backbone of the entire global economy.
The money was earmarked for data centers, AI chips, and infrastructure on a scale the world had never seen before. Amazon alone said it expects to spend $200 billion this year, while Alphabet isn’t far behind with up to $185 billion in planned capital expenditure. CNBC These weren’t vague promises — these were hard commitments made to shareholders, governments, and the global market.
But right now, that entire plan is under serious pressure. And the threat isn’t coming from a rival tech company or a smarter AI model. It’s coming from something far more unpredictable — the price of energy and the chaos of war. The numbers are real. The risk is real. And the consequences could hit every single one of us.
[CONTENT 2]:
This isn’t just a story about billion-dollar companies arguing over their budgets. This is a story about the foundation of the global economy. S&P Global’s Melissa Otto, head of research at S&P Global Visible Alpha, warned that if capital spending gets pulled back and energy prices aren’t reflected in earnings, it could be a catalyst for a “really meaningful correction in all equity markets.” Yahoo Finance That means your savings, your pension fund, your investments — all of it gets hit.
The AI boom has been one of the single biggest forces pushing stock markets to record highs over the past two years. Investors across the world have been betting that companies like Microsoft, Amazon, and Google would keep spending — and that those investments would eventually produce massive returns. Analysts at Barclays estimated Meta’s free cash flow could drop by almost 90% this year after the company committed to capex as high as $135 billion. CNBC That kind of pressure, multiplied across four tech giants, is not a small story.
And it goes beyond Wall Street. If AI investments stall, the technologies being built right now — in healthcare, in climate science, in education — stall with them. The hospitals waiting for AI diagnostic tools, the farmers using AI to save crops, the students in developing countries who were going to get AI-powered learning — all of them lose if this money dries up. The stakes are that high.
[CONTENT 3]:
Here’s the part that most people don’t understand. Running AI isn’t free. It isn’t even cheap. Every single AI query — every image generated, every chatbot response, every recommendation your streaming service makes — burns through enormous amounts of electricity. Data centers require vast amounts of electricity, making AI directly dependent on power prices and infrastructure capacity. The Express Tribune And right now, power prices are surging.
At the CERAWeek energy conference in Houston, oil executives warned that supply risks are not fully reflected in current prices, raising concerns about further increases with ripple effects for the global economy. The American Bazaar In plain terms — oil and energy are about to get even more expensive. And the companies building AI data centers are going to feel that pain directly in their profit margins.
Paul Kedrosky, an investor and research fellow at MIT’s Institute for the Digital Economy, warned that while most U.S. data centers may not see immediate cost increases, there could be a ripple effect where workloads get pushed to the U.S., but new supply can’t be added because the backlog queue is already immense — creating the potential for the “whole thing to seize up.” The American Bazaar Imagine the AI internet running out of room. That’s not science fiction anymore. That’s the scenario experts are seriously discussing today.
The people who feel this first won’t be the CEOs of Microsoft or Amazon. They’ll be the startup founders who built their entire business on AI APIs. The small marketing agency that uses AI to run client campaigns. The freelance developer whose income depends on affordable AI tools. When big tech pulls back spending, the cost gets passed down — and it hits the smallest players hardest.
Amazon is already projected to turn negative on free cash flow — a deficit of nearly $17 to $28 billion in 2026, according to analysts at Morgan Stanley and Bank of America. CNBC A company with negative free cash flow doesn’t invest more — it cuts costs. And one of the easiest places to cut is pricing flexibility for smaller customers who rely on their cloud and AI services.
For everyday workers, the picture is just as concerning. Millions of jobs in software, marketing, healthcare administration, and finance were expected to evolve — not disappear — thanks to AI assistance. But AI assistance requires AI investment. If the data centers aren’t built, the models don’t improve. If the models don’t improve, the transformation stalls. The domino effect is real, and it starts with a $635 billion number that is now looking very uncertain.
[CONTENT 4]:
The next 90 days are going to be critical. S&P Global warned that persistently high oil prices could force spending revisions in the first and second quarters of 2026 — and that such a pullback could trigger a really meaningful correction across all equity markets. Yahoo Finance That window is right now. If the energy situation doesn’t stabilize, the announcements are coming.
What happens then? A few things are nearly certain. First, AI development doesn’t stop — but it slows. The models that were supposed to arrive in late 2026 get pushed to 2027. The data centers that were supposed to open in Europe and Asia get delayed. The chip orders that NVIDIA and AMD were counting on get revised downward. A ripple becomes a wave. Data centers in the Middle East are also reportedly under direct attack as a result of the Iran conflict, adding physical infrastructure risk to the financial risk already in play. The American Bazaar
But here’s what no one is saying loudly enough — this crisis might actually force the AI industry to become smarter. Companies that have been spending without limits may be forced to build more efficient systems, use less energy per calculation, and find AI architectures that don’t require the power of a small city to run. Crisis has always driven human innovation. And if that happens — if efficiency becomes the new arms race — the AI that emerges from this pressure might actually be better, faster, and cheaper than anything we imagined. The question is just how painful the path to get there will be.
BENEFITS
Prepare yourself — because if this investment wave stalls, the technologies you were counting on in 2026 and 2027 will arrive late, cost more, and change how we all live and work
Understand why $635 billion in AI spending is suddenly at serious risk in 2026
Recognize how rising oil prices and the Iran war are directly threatening the global AI buildout
Learn why data centers consume enormous electricity — and why that makes AI vulnerable to energy shocks
Discover how a pullback in Big Tech capex could trigger a major stock market correction worldwide
See how Amazon, Microsoft, Meta, and Google each face different but equally severe financial pressures
Grasp why small businesses and AI startups will feel the pain before the tech giants do
Track the 90-day warning window that S&P Global identified as the critical decision period
Appreciate how Middle East conflict is physically threatening AI data center infrastructure globally
Consider that this crisis could actually force a positive breakthrough — making AI far more energy-efficient
ENDING
We are living through the most expensive technological gamble in human history. Four companies decided to bet $635 billion on the idea that AI is the future — and for a while, the whole world believed them. Now, energy prices are rising, war is reshaping the Middle East, and the financial foundations of that bet are shaking. This isn’t a tech story anymore. It’s an economic story. It’s a geopolitical story. It’s a story about whether the AI revolution that was supposed to change every life on this planet can survive its first real test. The machines are still running. But the storm is getting closer.
What do YOU think about Big Tech’s $635 billion AI spending crisis? This is the kind of news that changes everything — and we want to hear your thoughts. Drop your opinion in the comments below. Share this post with one person who needs to read this. And if you want to stay ahead of the AI revolution every single day — follow AI TODAYS NEWS right now. The future is moving fast. Don’t get left behin