灼见

Oracle (ORCL)
Facing massive debt stress due to AI infrastructure expansion
This is a hot topic in the market for 2025-2026
Mainly stemming from the hefty partnership with OpenAI

On the books debt: As of around the end of November 2025
Unpaid bonds and other borrowings of about $108 billion
One of the largest debt loads among big tech companies
Long-term debt at the end of FY2025 is about $92.6 billion
Quickly ramping up to over $100 billion
(Some data shows long-term debt hitting $124.7 billion in Q3 FY2026)

Additional commitments: About $248 billion in future data center
Lease obligations, total financial obligations could approach $400 billion

Recent financing: Issued $18 billion in bonds in September 2025
Planning to raise another $38 billion for OpenAI-related data centers
(Projects in Texas and Wisconsin)
Overall plan for 2026 to raise $45-50 billion
(Debt + equity split evenly)

Market reaction and risks ⚠️
Wall Street digesting the pressure:
Banks (like JPMorgan) struggling to share the massive loans
Single counterparty exposure limits are being pushed to the max.
Some debt is structured as project financing
(Not directly on Oracle's balance sheet)
But still impacts credit perception

Litigation and credit concerns:
At the start of 2026, bondholders collectively sued Oracle
Accusing them of concealing subsequent
Massive financing plans during the $18 billion bond issuance, causing bond prices to drop
Credit Default Swap (CDS) costs surged at one point
Some bond spreads nearing junk bond levels

Other challenges: Data center delays, partner pullouts
(Like Blue Owl), power supply constraints,
And whether AI demand can quickly convert into revenue
Are all pain points of concern in the market.
$XAUT #沃什美联储政策前瞻

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The haze has lifted
Color returns

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Morning dew rests on leaves, clinging no dawn’s bright ray; it fades with rising sun, nourishing plants in quiet way!

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Everyone online is talking about BullX 🔥, and everywhere people are saying it went hundreds of times overnight.
In a bear market, everyone is so eager for a bull market to come. When you see a hot trend, you can’t help wanting to jump in—babes, did you get on board?

Honestly, I missed it. I didn’t catch this wave of行情, so all I can do is look at the results and hope 😂.
Watching others share their returns, I really do feel envious.
Wishing that the coins our family members hold can all be like BullX—sleep one night and wake up to a massive surge.
But since hot trends can be volatile, everyone should also protect their principal and view the market rationally. Wishing you all big, satisfying gains 🧧

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$BTC to be honest, the liquidity on the US stock market side is indeed fierce—it’s clearly visible. In contrast, in the crypto space, the new narrative hasn’t caught up, and the old gimmicks aren’t as alluring anymore. Naturally, the money flows to places with better stories.

$BTC

On Wednesday, there’s an important announcement.
Pay attention to the trajectory of the CLEAR Act.
Trump himself will personally attend the White House Crypto Summit, and the heads of two key regulators, the SEC and the CFTC, will also all be there.

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In this industry, the most frantic times are powered by information asymmetry. Whoever finds out first which big projects are going to be listed, who gets the private placement quota first—those people can easily profit from arbitrage.

But in today’s crypto world, to be frank, there are more and more “open cards.” ETF flows, macroeconomic data, on-chain anomalies from giant whales—almost everything is transparent. The advantage from information gaps is disappearing at a pace you can literally see with your own eyes.

So then, what will we rely on to make money in the future? We’ll make money from “cognitive gaps” and “differences in resolve.”

When everyone is FOMO-ing into some hot trend, can you independently judge whether it’s sustainable? When the market panics and crashes, can you calmly trace back whether the logic behind your original buy is still valid? Can you hold your positions through months of sideways trading without making random moves?

These can’t be solved by just looking at a few candlesticks or scrolling a few tweets. It requires you to truly understand the industry’s technical evolution (for example, L2, ZK, and AI + Crypto), and it requires you to have independent judgment about macroeconomic cycles. In the future, alpha will definitely belong to people with deep thinking—not to those diligent “information re-posters.”