#AICreditSpreadsSoar
About AICreditSpreadsSoar
Obligasjonsmarkedene prisjusterer AI-investeringer. Nvidia 5-års CDS steg til et rekordnivå på 82 basispunkter; Alphabet CDS nådde et rekordnivå på 67 basispunkter etter at fri kontantstrøm for 2. kvartal ble negativ. Spreader for Oracle, Amazon og Microsoft nådde flerårige høyder; Meta data-senter obligasjonsrenter nådde 7,5 %. Seks teknologiselskaper utstedte $244 milliarder i gjeld i år, og deres bedriftsobligasjonsrisikovekt (DTS 8,6 %) overgikk de seks største amerikanske bankene, noe som er første gang. AI-bobleprising eller et kjøp ved nedgang på feilpriset kreditt? I kveld er Microsoft og Metas investeringsveiledning den første testen.
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AI Credit Pressure Spreads
The AICreditSpreadsSoar theme is becoming a major focus on Wall Street as widening credit spreads across the AI sector signal growing investor caution over massive infrastructure spending. While the long-term AI story remains compelling, short-term capital is rotating away from richly valued semiconductor and technology stocks.
The shift has quickly weighed on AI-related equities. In the latest session, $SOXL fell 12.36%, $SKHYNIX dropped 8.57%, $MUU (Micron) declined 7.28%, $SNDK (SanDisk) lost 6.73%, while leveraged products such as $KORU and $SNXX plunged more than 13–15%. The move suggests investors are prioritizing risk reduction over chasing high-growth AI names.
However, this does not necessarily mark the end of the AI growth story. History has shown that after sharp corrections, companies with strong technology leadership and solid fundamentals are often the first to recover once market confidence returns.
If your portfolio is holding AI-related stocks, what will your next move be?
#AICreditSpreadsSoar
#FedRateDecision
#SKHynixRecordMiss
$SNDK
$SKHYNIX
🚨 Big Tech earnings sent a clear message: strong results alone aren't enough anymore.
Alphabet reported an impressive quarter, generating $AEON slipped more than 4% after .
The market wasn't disappointed by the numbers—it was focused on what comes next.
Alphabet increased its 2026 capital expenditure forecast to $195B–$205B, while free cash flow weakened. Investors are becoming more selective, weighing not only AI growth but also the cost of sustaining it.
Across Google, Microsoft, Meta, and Amazon, projected capital spending for 2026 is expected to reach roughly $725B, highlighting how aggressively the AI race is accelerating.
Meanwhile, Tesla took a different approach.
The company continues to hold 11,509 BTC, maintaining the same position it has held since 2022. Despite recording a quarterly loss related to Bitcoin's previous decline, Tesla neither increased nor reduced its holdings.
Why this matters for crypto:
🔹 Spot Bitcoin ETFs continue attracting institutional demand.
🔹 Crypto remains closely tied to the performance of major technology stocks, making earnings guidance increasingly important for digital asset sentiment.
🔹 Upcoming reports from Microsoft, Meta, and Amazon could influence both equity and crypto markets.
One key difference is that crypto markets never close.
With tokenized US equities available for 24/7 trading on supported platforms, traders can continue reacting to earnings and macro developments even when traditional stock exchanges are closed.
The next round of Big Tech guidance may play a bigger role in market direction than the earnings headlines themselves.
#CeasefireHitsCrude #AIEarningsWatch #CXMTDebutShockwave
Big Tech earnings. $BTC 10T on the line.
Tonight + tomorrow: Apple, Microsoft, Meta, Amazon report. Nasdaq looks calm, but everyone’s gripping the armrest.
The real question: is AI actually changing the world, or just the most expensive experiment ever? We start finding out now.
Quick take:
Apple — Boring but steady. iPhone prints cash, AI moves slow. Safest of the four.
Microsoft + Meta — High risk. If Azure misses or capex doesn’t cool, expect instant pain. Meta’s test: can ads cover the burn?
Amazon — Closes it. AWS needs >33% growth or the $BTC 200B infra story gets shaky.
3 things to watch:
1. Capex guidance — Google got slapped -5% after hours for overspending. Say “no limit” and watch stocks bleed.
2. Cloud growth — Azure and AWS prove if AI actually makes money. Slowdown = thesis breaks.
3. Free cash flow — Google went from $25.7B to negative. Microsoft and Amazon also fell off a cliff. Meta still burns $BTC 30B+/q. Another miss here and the AI narrative takes a hit.
Semis feeling it too: SK Hynix, SanDisk, Micron all getting hit.
Seatbelts on. 🚀
#FedRateDecision
#BigTechEarningsNight
#SKHynixRecordMiss
#BigTechEarningsNight Microsoft, Meta, Amazon all reporting tonight. This is the night that decides whether AI capex anxiety cools or gets worse 🔥
Alphabet beat everything last week and still dropped 4% on raised capex. So the bar isn't "beat revenue" — it's "justify every dollar of AI spending with visible returns." That's a much harder bar 👀
Three hyperscalers reporting back to back. Capex guidance and cloud growth are the two numbers. If all three raise capex again, the market has to decide if this is conviction or overcorrection 🤔
Nasdaq 100 already entered correction territory. The move tonight happens mostly in after-hours — outside regular trading windows 🫠
XMSFT, XMETA, XAMZN on OKX trade 24/7 in USDT. The after-hours reaction is tradeable in real time, no waiting for next day's open 📊
Alphabet beat and got sold. What number do Microsoft and Meta need to print tonight to actually stop the AI spending anxiety? 👇
#AIEarningsWatch Three Hyperscalers, One Question: Is AI Spending Actually Paying Off?
Alphabet dropped hard after its Q2 print, not because earnings missed, but because capex guidance came in above what the market wanted to see. Investors are done giving AI infrastructure a blank cheque. Now Microsoft, Meta, and Amazon step up to report Wednesday and Thursday, and the capex line on each will be dissected more than any other number.
Worth keeping in mind: Tesla just posted its worst weekly drop since 2022. That's a sentiment read as much as a fundamental one. When marquee tech names get punished for leaning into AI spend, it signals the "AI justifies everything" narrative is being stress-tested in real time.
What to actually watch: cloud revenue growth at Azure and AWS is the clearest evidence we have that hundreds of billions in GPU clusters and data centres is converting into real demand. If cloud growth accelerates and AI monetisation figures land with substance, capex anxiety cools. If guidance stays elevated while revenue disappoints, the Alphabet selloff might look like the opening act.
For those who don't want to wait for market open: OKX's tokenized US stocks let you trade XMSFT, XMETA, and XAMZN around the clock, priced off the latest close and quoted in USDT. Earnings reactions don't wait for 9:30am.
Is this the week the market gives AI spending a verdict, or just more uncertainty? Share your thoughts in the comments 👇
📉
The broader macroeconomic backdrop is looking incredibly strong, yet the charts are bleeding. Why? Because US AI heavyweights like NVDA took a sudden 5% nosedive, pulling the entire Nasdaq down with them.
Instead of holding its ground, Bitcoin became collateral damage. We watched it tank straight to $63,065 during the early Asian trading hours. It’s classic guilt by association!
But the tide is already turning. Asian session buyers are fiercely defending the support lines, stepping in heavily to drive the price right back to the $63,500 territory.
$NVDA $MU $BTC
ASIAN STOCKS FALL AS AI SPENDING JITTERS HIT CHIPMAKERS, WITH MSCI ASIA PACIFIC DOWN 1.2%, KOSPI TUMBLING 5.6%, NIKKEI OFF 1.3%; NVIDIA DEBT-PROTECTION COSTS SURGE ON $BTC 750BLN AI DEAL WAVE, ASML SINKS ON CHINESE CHIPMAKING MACHINE REPORT
#CXMTDebutShockwave
#FOMCRateWatch
#AIEarningsWatch
ASIAN STOCKS FALL AS AI SPENDING JITTERS HIT CHIPMAKERS, WITH MSCI ASIA PACIFIC DOWN 1.2%, KOSPI TUMBLING 5.6%, NIKKEI OFF 1.3%; NVIDIA DEBT-PROTECTION COSTS SURGE ON $750BLN AI DEAL WAVE, ASML SINKS ON CHINESE CHIPMAKING MACHINE REPORT$ETH
AI CRASH IS A TIME BOMB THAT COULD NOW AFFECT THE WHOLE US ECONOMY
The first crack is already showing up in credit markets.
Investors are now demanding a 41-basis-point higher risk premium to invest in $AI -related bonds than in other corporate bonds.
Recently, the cost of insuring Nvidia’s debt against default reached 82 basis points, nearly double its level one week earlier.
This is largely because hyperscalers are expected to spend around $700 billion in 2026. That is over 75% more than two years ago.
Investors are now questioning whether future $AI returns can justify this spending and today’s high valuations.
This matters because credit markets often show stress before the wider market does.
On July 27, Fitch also warned that a correction in $AI market could become a major global credit risk.
But this time, the risk goes beyond just technology companies. $AI spending supports data-centre construction, equipment suppliers, power projects and the companies working on them.
If $AI spending slows, investment and jobs across these industries could slow with it.
$AI spending is now large enough to lift the US economy, but also large enough to hurt it if the expected returns do not arrive.
