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1Here are the big takeaways, explained like you’re five years old:
Imagine the stock market like a playground. This year, kids (investors) were super excited about companies building AI toys, then suddenly worried: "What if we build too many toys and nobody plays with them?"
That scared away money from smaller AI rental companies like:
These companies rent out super-fast computer chips (called GPUs) to AI builders. The old worry was: if the giant tech companies build too much themselves, the small renters lose their edge.
Important Point: A new report from Morgan Stanley says the market was looking at the wrong boogeyman. Instead of "too many toys," we might see one of the biggest building sprees ever!
Morgan Stanley counts the five biggest tech builders (hyperscalers). They say total computing power will go from 30.5 gigawatts in 2025 to 116.6 gigawatts by 2028. That’s nearly 4x bigger in 3 years!
Every extra bit of power must be planned, paid for, and built. That means $4 trillion to $8 trillion spent by 2028.
Here’s the simple table of who’s building what (gigawatts = GW, a measure of computer energy):
| Company | 2025 Capacity | 2028 Capacity | % Increase |
|---|---|---|---|
| Amazon (NASDAQ: AMZN) | 13.8 GW | 35.8 GW | 159% |
| 5.0 GW | 31.6 GW | 532% | |
| Microsoft (NASDAQ: MSFT) | 7.5 GW | 20.3 GW | 171% |
| Meta Platforms (NASDAQ: META) | 3.5 GW | 21.2 GW | 506% |
| SpaceX (NASDAQ: SPCX) | 0.7 GW | 7.8 GW | 1,014% |
| Total Hyperscaler | 30.5 GW | 116.6 GW | 282% |
Source: Morgan Stanley bottom-up hyperscaler compute model.
Important Point: If demand is growing 4x, the "we have too much stuff" worry doesn’t make sense. The big sell-off in AI stocks earlier this year may have been a false alarm.
Act now: The analyst who called NVIDIA in 2010 just named his top 10 AI stocks — and Nebius Group didn’t make the cut. Grab the names FREE today.
Nebius is like a kid with a lemonade stand in a neighborhood that’s getting way more thirsty.
Nebius announced a new way to grow without emptying its wallet:
This lets Nebius expand to new places fast, without tying up billions of its own dollars.
The worry against Nebius was:
Morgan Stanley’s model says #1 is wrong (huge growth!). Nebius’s new partner model fixes #2 (others pay!).
Important Point: Nebius’s stock dropped 35% earlier. If Morgan Stanley is right, that drop was a mistake. But Nebius still must hit its big goals — nothing is guaranteed!
Act now: The analyst who called NVIDIA in 2010 just named his top 10 AI stocks — and Nebius Group didn’t make the cut. Grab the names FREE today.
Q1: What is a gigawatt (GW) in simple terms?
A: It’s a unit of power. Here, it measures how much energy the AI computer buildings use. More GW = bigger AI brain power.
Q2: What is a "neocloud" or "hyperscaler"?
A: A hyperscaler is a giant tech company (like Amazon or Google) that builds huge computer clouds. A neocloud (like Nebius) is a smaller specialist that rents AI chips to developers.
Q3: Why did Nebius stock fall 35%?
A: Investors feared AI builders were making too much capacity, which could hurt renters like Nebius. New data suggests that fear was overblown.
Q4: What does "asset-light" mean for Nebius?
A: It means Nebius doesn’t pay to build the data centers itself. Other owners pay, and Nebius supplies the platform and gets steady fees.
Q5: Is Nebius guaranteed to hit its goals?
A: No. The article says execution risk remains — they still must deliver on the big targets.