지수투자자를 위한 앱 흩어진 시장 데이터를 하나로 모읍니다. Passive · 미국/국내 주식 데이터 분석 플랫폼 👇
Joined March 2026
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Data Insight Lab retweeted
Will Tesla and SpaceX ever merge? The Roadster reveal has people asking again. 🚗 🚀
Wall Street is far from unified on it, with takes ranging from skepticism that Elon Musk would combine two already-premium-valued companies to confidence that a deal is inevitable.
EMJ Capital founder Eric Jackson and RBC Capital Markets lead equity analyst Tom Narayan weigh in. 👀
Data Insight Lab retweeted
BREAKING: Anthropic just received a BB+ credit rating from KBRA, one notch below investment grade.
The rating comes ahead of a $35 billion chip financing deal, part of a broader $60 billion AI financing effort being lined up on Wall Street.
It follows Broadcom’s agreement to lend Anthropic up to $42 billion to buy chips and computing hardware.
Data Insight Lab retweeted
$TSLA - MORGAN STANLEY TURNS MORE POSITIVE ON TESLA AHEAD OF Q3 EARNINGS
Morgan Stanley analyst Andrew Percoco is becoming more constructive on Tesla, citing improving execution in Robotaxi and the core automotive business.
Following Tesla's Roadster unveiling, Percoco described the vehicle as a showcase of engineering prowess, highlighting its technological crossover with SpaceX.
However, he cautioned that the commercial potential of a flying Roadster remains uncertain.
🔸 Rating: Equal Weight
🔸 Price target: $400
The key takeaway: Morgan Stanley sees the Roadster primarily as a demonstration of Tesla's technological capabilities, rather than a near-term sales driver.
Data Insight Lab retweeted
ANTHROPIC: AI COULD PUSH U.S. GDP TO $44 TRILLION BY 2030
Anthropic co-founder Jack Clark says an internal model projects AI could boost U.S. GDP from $30 trillion to $44 trillion by 2030.
Clark credits accelerating AI capabilities and scientific breakthroughs but stresses the need for stronger global AI regulation.
The key takeaway: A potentially massive AI-driven economic expansion, though the forecast remains highly speculative.
Data Insight Lab retweeted
MICHAEL DELL REVEALS HOW HIS COMPANY COULD SURVIVE AN AI BUST
Dell Technologies ($DELL ) is positioning itself to withstand a potential AI downturn through just-in-time manufacturing and a negative cash conversion cycle.
Unlike heavily indebted AI infrastructure providers, Dell largely builds servers against customer orders, limiting inventory exposure.
• AI server backlog: $95 billion
• AI customers: 6,500+
• Projected fiscal-year revenue growth: 70%
However, Michael Dell warns that memory chip shortages could worsen next year.
The key takeaway: Dell's customer-funded operating model may offer protection against an AI spending slowdown, although weaker demand could quickly hit revenue.
Data Insight Lab retweeted
ANTHROPIC FACES CALL TO DELAY MASSIVE IPO OVER AI SAFETY CONCERNS
Anthropic has opened discussions with NYC Comptroller Mark Levine after he urged the company to postpone its planned IPO until it addresses AI safety and governance risks.
Levine oversees public pension funds holding more than $325 billion in assets and warned that a major AI safety incident after listing could severely damage investors.
Anthropic is reportedly targeting an IPO as early as November, following quarterly revenue of $16.8 billion.
The key takeaway: AI safety concerns are emerging as a potential obstacle to one of the largest IPOs in history.
Data Insight Lab retweeted
U.S. IMPORT AND EXPORT PRICES SURGE ABOVE EXPECTATIONS
U.S. September trade inflation came in hotter than expected, signaling persistent price pressures.
🔸 Import prices: +1.1% (forecast +0.8%)
🔸 Export prices: +2.2% (forecast +1.0%)
🔸 Import prices YoY: +8.1%
🔸 Export prices YoY: +11.6%
🔸 Petroleum import prices: +4.6%
The key takeaway: Rising energy costs and stronger-than-expected trade prices reinforce inflation concerns ahead of the Fed's October meeting.
Source: U.S. Bureau of Labor Statistics
Data Insight Lab retweeted
APPLE'S IPHONE DUO SELLS OUT MINUTES AFTER PRE-ORDERS OPEN
Apple's ($AAPL ) new iPhone Duo saw its initial pre-order inventory sell out almost immediately, with estimated delivery dates slipping from October 23 to November 16–23.
However, the rapid sellout may reflect limited initial production rather than exceptionally strong demand, amid reported manufacturing challenges.
The key takeaway: Early demand appears strong, but Apple's constrained launch inventory makes the scale of consumer interest difficult to assess.
Data Insight Lab retweeted
🇯🇵 BOJ'S UEDA SIGNALS FURTHER RATE HIKES AS INFLATION NEARS 2%
Bank of Japan Governor Kazuo Ueda reaffirmed that the BOJ will continue raising interest rates as underlying inflation approaches its 2% target.
Ueda said economic conditions remain broadly in line with forecasts, while global policymakers appear more optimistic about AI-driven demand than previously expected.
The key takeaway: The timing and pace of future rate hikes will depend on currency movements, AI demand and Middle East developments.
Data Insight Lab retweeted
ANTHROPIC'S SLOWING REVENUE GROWTH DOES NOT SIGNAL WEAKER AI DEMAND
D.A. Davidson analysts Gil Luria and Turner Dischinger say Anthropic's slowing revenue growth should not be interpreted as a broader AI demand slowdown.
They point to growing competition from OpenAI and open-weight AI models, as businesses diversify their AI spending.
The key takeaway: Overall AI investment remains on a strong upward trajectory, supporting continued demand for computing power and data center construction.
Source: D.A. Davidson
Data Insight Lab retweeted
Elon Musk publicly vouching for Anthropic is one of the more unexpected signals in AI right now.
His words on Dario Amodei: "A very principled person who cares about things a lot. He cares about the future of the world."
On Anthropic's team overall: "No one set off my evil detector. They always seem like they're well-intentioned."
This matters more than it sounds. Musk is building a competing AI lab (xAI), has been openly hostile toward OpenAI, and is not known for handing out compliments to rivals.
For him to break from that pattern and publicly affirm Anthropic's leadership — on character, not just capability — is a meaningful data point about how the serious players in AI actually read each other behind the rhetoric.
The AI safety debate often gets framed as idealists vs. accelerationists. Musk's comments suggest the real fault line isn't safety vs. speed. It's who you trust with the build.
Data Insight Lab retweeted
🇺🇸 The AI gold rush just hit a wall. Investors are DUMPING the debt that bankrolled it.
Bonds financing massive U.S. data centers for the likes of Meta, Nvidia, Oracle and Microsoft are trading well below face value, just months after investors were happy to pay full price.
Meta's "Hyperion" bonds dropped to 92 cents on the dollar, Microsoft's "Project Excalibur" fell below 88, and CoreWeave's plunged under 80.
CoreWeave is in distressed territory, with investors now demanding yields near 15%.
Meanwhile, Nvidia lost roughly $270B in market value in a single week.
But the AI math gets more uncomfortable.
Gartner estimates data center owners need $8.5 TRILLION in revenue by 2030 to cover costs and earn a decent return. Expected AI services spending? Just $3.6 trillion.
That's a $4.9 TRILLION GAP, and Gartner reckons 80% of neoclouds like CoreWeave will be gone or absorbed by 2030.
Nvidia CEO Jensen Huang insists he's "optimistic" and says CoreWeave's borrowing costs are actually falling.
Someone should tell the bond market. It's charging nearly 15% for the privilege.
Source: Financial Times / Writer: Julie
Data Insight Lab retweeted
🚨HUGE: Michael “Big Short” Burry is betting AGAINST U.S. tech stocks and buying into China.
The famous investor is shorting the Nasdaq while calling Hong Kong “very undervalued” on his Substack.
Burry added to BYD, the Chinese electric-vehicle maker,
while he continues holding:
- JD .com.
- Tencent.
- Meituan.
- Haidilao.
He is avoiding Alibaba until its Hong Kong shares fall into the HKD 70s or it stops issuing stock to fund AI.
Data Insight Lab retweeted
A year ago, Meta looked behind in AI. Now it’s back in the conversation.
Meta (META) says its Muse Wonder models can match top models from Anthropic, OpenAI and Google on certain benchmarks. Even a veteran Silicon Valley entrepreneur says the catch-up came faster than he expected.
Is Meta back in the AI race?
Watch the full episode of In The Loop on YouTube: bit.ly/47Y87FE
Data Insight Lab retweeted
🚨 Indonesia’s stock market crashes over -11% recording its biggest crash since 1998.
MSCI is considering downgrading Indonesia from an "emerging" market to a "standalone" market.
A standalone downgrade could force global funds to sell Indonesian stocks, triggering billions of dollars in outflows.
The move comes amid concerns over market transparency concentrated ownership and trading integrity.
The announcement triggered a massive sell-off and forced a temporary trading halt.
The Indonesian rupiah falls to 18,070 per dollar, nearing its record low of 18,190.
Data Insight Lab retweeted
🚨Jamie Dimon warns AI agents that make payments for you may not act in your interest.
The JPMorgan CEO says letting AI agents make payments means handing them your bank code, putting them inside your bank.
Data Insight Lab retweeted
🚨NOW: FED Chair Kevin Warsh warns of a “VERY BUMPY” AI transition with major implications for the economy.
“The advent of this new technology is probably the most consequential change to the U.S. and the global economy in my lifetime.”
Warsh expressed optimism about AI’s potential while stressing the challenges ahead:
“I want you to hear from me optimism, but optimism leavened by the seriousness of purpose.”
“The path from where we are to there is likely to be a very bumpy one, bumpy in our understanding of the technology, bumpy because we really don’t know what the market structure is going to be of these new technologies.”
Data Insight Lab retweeted
Kevin Warsh just spoke at the IMF-World Bank annual meetings in Bangkok.
Here are the most important things he said:
1. He refused to signal whether the Fed will raise interest rates again at its October 27–28 meeting.
2. He said the Fed will assess the situation at its October and December meetings before deciding its next moves.
3. He defended September's rate hike as necessary to deliver price stability and reduce monetary accommodation.
4. Warsh gave no assurance that the Fed is done raising interest rates this year.
5. Described AI as potentially the most consequential change to the US and global economies.
6. He warned that AI's short-term impact on employment remains uncertain.
7. He said the transition to a more productive economy driven by AI could be bumpy.
8. Warsh highlighted how the AI boom is driving investment and creating price pressures.
His remarks came after US inflation data came in higher than expected, keeping the possibility of another rate hike in focus.
