Ejaaz Ahamadeen, host of In the Loop, read all 261 pages of Anthropic's S-1 and went in skeptical. Revenue went from about $41 million in 2023 to $16.3 billion in the first half, and the company is sitting on roughly $132 billion. His own caveat: there is no convincing way to replenish it. Yahoo Finance's Julie Hyman doubts the growth rate survives contact with enterprises that were only running pilots, and Shay Boloor, Chief Market Strategist at Futurum, calls it dead money for a year.

Watch the full episode: [FULL EPISODE LINK]

Market Hang is live weekdays 12:30-1:30pm ET on Yahoo Finance, hosted today by Nancy Tengler, CEO and Chief Investment Officer of Laffer Tengler Investments.

Timestamps

Anthropic has filed its S-1, revealing a massive cash pile and an uncertain path to long-term profitability.

Ejaaz Ahamadeen breaks down the 261-page Anthropic S-1 filing to look past the hype. While the company reports significant revenue growth, the conversation centers on whether there is any convincing way to replenish its $132 billion of cash. The panel discusses the risks of high compute costs and why some market analysts view these figures as dead money for the near term.

Julie Hyman and the Market Hang team analyze the sustainability of this business model against enterprise demand. They explore the reality of AI stocks as they shift from experimental pilots to actual infrastructure spending. By examining the prospectus, viewers gain a clearer picture of the financial hurdles facing the next generation of AI companies.

Watch the full episode for more market analysis, and let us know in the comments if you think the current AI valuation is justified.

0:00 All 261 pages, and a skeptic's first reaction
1:39 Two dollars of revenue for every dollar of compute
2:48 Why 900% growth starts from a small number
3:52 Creative financing, but not as bad as expected
4:55 We all get to hold the bag
6:08 The case for models that improve themselves
7:40 Robot baggage handlers in Japan and Korea
8:40 Whatever can get power to the GPUs collecting dust

#Anthropic #AnthropicIPO #AIStocks #MarketHang #YahooFinance

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Spear Invest founder and chief investment officer Ivana Delevska and Defiance ETFs CEO and chief investment officer Sylvia Jablonski join Market Catalysts host Julie Hyman to explain why Qualcomm (QCOM) stock isn't moving to the upside after the company's earnings report.
To watch more expert insights and analysis on the latest market action, check out more Market Catalysts here:https://finance.yahoo.com/vide....os/series/market-cat
#youtube #stocks #AI #investing


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Meta’s new AI model Wonder marks a massive move for Meta into the AI race against Anthropic and OpenAI.

Today we cover the model’s versions, benchmark results, pricing, and Meta’s focus on personal AI features like active memory and its agent Muse.

==
0:00 Meta’s AI Comeback
1:29 Muse Wonder Unveiled
2:29 Benchmark Breakthroughs
5:54 Memory and Focus
10:07 Pricing and Access
11:58 From Failure to Force
14:39 Meta’s Strategy Shift
17:52 Product DNA Advantage
19:06 OpenAI, Anthropic, Google
20:31 The Compute Arms Race
21:51 Final Thoughts and Outro

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OpenAI’s own AI helped catch a spy inside its headquarters. An employee allegedly hid a $24 recording device behind a TV in an executive conference room, and the AI tools he used to plan it became the trail that led the FBI to him.

Today we break down how the device was found, how an internal agent and a chatbot allegedly helped build the plan, the charge he faces, and why the frontier labs are turning into national security sites.

==
Timestamps

0:00 ChatGPT Catches a Spy
1:21 The Bug Behind the TV
2:51 OpenAI’s Model Investigates
5:34 Who Planted It
6:10 Planning With AI
9:04 Caught on Camera
10:13 How AI Cracked the Case
12:20 Your Digital Footprint
13:26 The Charge and the Sentence
14:15 AI as National Security
16:32 Will Washington Step In?
18:33 OpenAI vs. Apple
19:08 Final Thoughts

#openai #chatgpt #ai #cybersecurity #fbi #nationalsecurity

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OpenAI's agents were given routine jobs. Look up a book's author. Identify a song. Then researchers found traces of those same agents taking five more actions nobody asked for, aimed at US government systems.

Agents tried to break into the Department of Education's civil rights office website and
failed. In the Commerce Department they went after government employee credentials and
found some sitting in the open. They reached the SEC looking for employee data.

Timestamps
0:00 The Worst Case Scenario
1:00 One Search, Five Actions
1:51 Nobody Knows Whose
3:00 Three Things To Watch

#AI #OpenAI #AIagents #AIsecurity #SEC #YahooFinance #InTheLoop

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On October 8, one revenue number from OpenAI knocked the whole stock market. Why can a private company move your 401(k)? Because in the AI boom, a lot of the money goes in a circle: Nvidia invests in OpenAI, OpenAI buys computing from Oracle, Oracle buys chips from Nvidia.

We follow one dollar around that circle: how much Big Tech is spending (about $2 billion a day), how much is coming back, who's now borrowing to fill the gap, why the chips wear out fast, what happened the last two times (Britain's railway mania and the 2000 telecom bust), the honest case against a bubble, three ways this could end, and who pays if it pops.

0:00 One number
1:12 What a bubble is
1:45 The spending
2:35 Where's the money coming back?
4:19 The money goes in a circle
6:38 We've seen this before
9:26 Now they're borrowing
11:16 The chips wear out
13:12 Even the bosses say bubble
14:03 The case against a bubble
14:59 How this could end
16:26 Who pays if it pops
18:40 What to watch
19:20 Adding it up

Sources
- CNN: https://www.cnn.com/2026/10/08..../investing/openai-na
- Yahoo Finance: https://finance.yahoo.com/sect....ors/technology/artic
- NVIDIA: https://nvidianews.nvidia.com/....news/nvidia-announce
- Sequoia's "AI's $600B question": https://www.tomshardware.com/t....ech-industry/artific
- TechCrunch: https://techcrunch.com/2025/11..../06/sam-altman-says-
- OpenAI cash burn projection reported by the FT: https://thesiliconreview.com/2....026/09/openai-cash-b
- Fortune: https://fortune.com/2025/09/28..../nvidia-openai-circu
- DCD: https://www.datacenterdynamics.....com/en/news/openai-
- DCD: https://www.datacenterdynamics.....com/en/news/nvidia-
- Benzinga: https://www.benzinga.com/marke....ts/prediction-market
- Railway Mania: https://en.wikipedia.org/wiki/Railway_Mania
- Newsweek: https://www.newsweek.com/stupid-loan-bubble-146353
- CNN Money: https://money.cnn.com/2001/04/....18/companies/winstar
- CNBC: https://www.cnbc.com/2025/12/1....0/ciscos-stock-close
- Epoch AI: https://epoch.ai/data-insights..../hyperscaler-capex-v
- Yahoo Finance: https://finance.yahoo.com/mark....ets/stocks/articles/
- Bisnow: https://www.bisnow.com/news/na....tional/data-center-c
- Oracle 10-K: https://www.sec.gov/Archives/e....dgar/data/0001341439
- CNBC: https://www.cnbc.com/2025/08/1....8/openai-sam-altman-
- CNBC: https://www.cnbc.com/2025/10/0....3/jeff-bezos-ai-in-a
- Fortune: https://fortune.com/2025/09/23..../mark-zuckerberg-par
- Goldman Sachs: https://www.goldmansachs.com/i....nsights/articles/is-
- S&P Dow Jones Indices: https://www.spglobal.com/spdji..../en/indices/equity/s
- DOE / Berkeley Lab: https://www.energy.gov/article....s/doe-releases-new-r
- IEEFA: https://ieefa.org/resources/pr....ojected-data-center-
- Fortune: https://fortune.com/2025/10/07..../data-centers-gdp-gr

"Circular" here means the same dollar can show up as revenue at more than one company. It is not an accusation of wrongdoing; Nvidia and Morningstar's views are included in the video. The $50,000 household, the car, and the subscriber math are illustrations.

Not financial advice. For education and entertainment.
Animation and music made with code. No AI-generated images or video. The narration is an AI text-to-speech voice (Piper).

Listen and subscribe to Stocks In Translation on Apple Podcasts, Spotify, or wherever you find your favorite podcast.
Nvidia (NVDA) is stealing the AI spotlight, but the sector’s bench runs so much deeper.

In this episode of Stocks in Translation, Epistrophy Capital Research chief market strategist Cory Johnson joins host Jared Blikre and Senior Reporter Allie Canal to discuss the latest in AI. With the episode’s focus surrounding data centers, Johnson shares his perspective on how AI infrastructure is driving markets and the economy, and explains how opportunities extend beyond key players like Nvidia. The trio also looks at Apple's (AAPL) M&A strategy as well as market lessons from the dot-com era.

Twice a week, Stocks In Translation cuts through the market mayhem, noisy numbers and hyperbole to give you the information you need to make the right trade for your portfolio. You can find more episodes here: https://finance.yahoo.com/vide....os/series/stocks-in- or watch on your favorite streaming service.
#youtube #stocks #podcast

About Yahoo Finance:

Yahoo Finance provides free stock ticker data, up-to-date news, portfolio management resources, comprehensive market data, advanced tools, and more information to help you manage your financial life.

- Get the latest news and data at finance.yahoo.com

- Download the Yahoo Finance app on Apple (https://apple.co/3Rten0R) or Android (https://bit.ly/3t8UnXO)

- Follow Yahoo Finance on social:

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About 80% of US AI startups are running Chinese open-source models, according to a US-China Economic and Security Review Commission report, and there is no reliable way to audit them. Reflection AI is the first Western lab spending at frontier scale to change that.

The company is worth $25 billion, was founded in 2024 by two former Google DeepMind
researchers, and agreed to pay SpaceX $150 million a month through 2029 for Nvidia GB300
capacity at Colossus 2.

Timestamps
0:00 A Startup With Nothing To Sell
2:30 Open Source Versus Open Weight
4:24 The Privacy Argument
5:52 China Wiped The Floor
7:39 Spending Before Shipping
9:56 Why Nvidia Funds Rivals
13:43 The AI Factory
14:54 Nobody Makes Money Here
17:05 Two Customers, One Risk
19:27 Can Open Source Win
21:43 Nothing To Audit

#OpenSourceAI #ReflectionAI #Nvidia #DeepSeek #AI #YahooFinance #InTheLoop

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Eighteen months ago, Meta's AI was the industry's laughing stock. Now its personal agent, Muse, has hit No. 1 on the App Store, and Ejaaz Ahamadeen thinks it might be his favorite AI product ever.

He shows what it actually does, from claiming compensation for a delayed flight to shopping through Instagram, then takes on the hard questions: whether you can trust Meta with your data, why Amazon cut it off, and why Shopify went the other way.

Then, Qualcomm CFO Akash Palkhiwala joins him at Snapdragon Summit 2026 to explain why the next agents may run on your phone and glasses, not just in the cloud.

Ejaaz's views are his own and are not investment advice.

Timestamps
0:00 I can't believe I'm saying this
0:17 Meta was the laughing stock of AI
1:20 From ChatGPT to Claude Code
1:49 The first AI product that feels like magic
3:07 The delayed flight test
4:21 Instagram and WhatsApp: Meta's unfair advantage
5:23 Car insurance and groceries
6:12 Everything OpenClaw was supposed to be
7:19 Can you trust Meta with your data?
8:19 The hotel room, the safe and the Sentinel
10:09 Why Amazon cut Muse off
10:49 Meta's new App Store
12:23 Shopify goes the other way
13:08 Nobody else has Meta's data
14:05 Why Meta stock jumped 11%
14:48 Meta didn't need a frontier model
15:31 AI for people who don't care about AI
16:04 An agent in everyone's pocket
16:44 Qualcomm CFO Akash Palkhiwala at Snapdragon Summit
19:30 Cloud versus edge: Does it matter?
22:47 What happens when you run 30 agents
24:35 Why on-device AI hasn't taken off yet
27:43 One agent or many?
28:45 Qualcomm versus Nvidia
30:16 The next six months and the next three years
33:30 What Qualcomm wants to fix next

#MetaMuse #AIAgents #Meta #Qualcomm #InTheLoop #YahooFinance

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#AI #youtube #yahoofinance
Yahoo Finance tech reporter Allie Garfinkle breaks down GitHub CEO Thomas Dohmke's comments on generative AI applications and uses.

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Hundreds of millions of dollars of GPUs are sitting in warehouses with no power to run them, and that is where this hour ends up. Ejaaz Ahamadeen, host of In the Loop, has read all 261 pages of Anthropic's S-1. Brendan Ahern, Chief Investment Officer of KraneShares, which holds Anthropic in one of its ETFs, warns everyone is in the same trade whether they call it QQQ, SPY or VOO. Matt Orton, Chief Market Strategist at Raymond James Investment Management, and Yahoo Finance's Julie Hyman on where to put money that is not AI.

Market Hang is live weekdays 12:30-1:30pm ET on Yahoo Finance, hosted today by Nancy Tengler, CEO and Chief Investment Officer of Laffer Tengler Investments.

Timestamps
0:00 The ticker is ANT, and the host objects
1:43 Why the filing is lifting the Nasdaq
2:59 Separating operating losses from the headline loss
5:21 Customer concentration, read two ways
7:32 Why Meta is not named as a competitor
9:03 Philip Morris, Betamax, and what a risk section is for
11:27 57% of Americans say AI is bad for society
12:47 Employees are voters, and regulation follows
14:57 Data centers are already in political ads
16:16 Is China a real rival or a boogeyman
20:04 What a guppy is, and which neo clouds survive
21:21 Why buy a neo cloud when Micron is cheap
23:24 Circular financing and what it does to chip demand
24:49 The cheapest multiple Nvidia has ever traded at
27:07 Two thirds of world market cap is the US
30:02 Is Nvidia channel stuffing
31:02 GPUs in warehouses with nowhere to plug in
34:06 All 261 pages of the S-1
35:23 Two dollars of revenue for every dollar of compute
39:23 Experimentation is not retention
42:42 Physical AI, and the parts nobody owns
44:36 Who is this era's Lucent
46:33 Where AI is actually paying for itself
51:01 Where to put money that is not AI
56:12 Close

#Anthropic #AITrade #DataCenters #MarketHang #YahooFinance

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Anthropic is rumored to go public in November at $2.2 trillion, which would make it the sixth most valuable company in America. A leaked prospectus showed a $45 billion loss, and most of the coverage stopped there.

$34 billion of that figure is equity owed back to early investors rather than money spent. The real operating loss is $8.06 billion on about $4.6 billion of 2025 revenue. The prospectus also ends before Claude Code launched, so it misses the year the company says took it to roughly $100 billion in annual recurring revenue. Two customers account for about a quarter of 2025 revenue.

Timestamps
0:00 The Biggest IPO Ever
1:28 Five Years To A Trillion
3:56 The Numbers That Scared Everyone
6:29 The Prospectus Stops Too Early
7:33 Half A Trillion On Compute
8:43 The Nothing Burger
10:11 Profitable If You Ignore Claude
11:43 Everyone Is Spending Like This
14:51 Sixth Most Valuable In America
17:33 The Bull Case
20:48 The Bear Case
24:01 A Very Narrow Path

#Anthropic #AnthropicIPO #Claude #AI #AIbubble #YahooFinance #intheloop

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Welcome to Lab 4 of our Local Agentic AI Masterclass! In this series finale, we give our local Gemma 3 (4B) model access to the open web to build StockAgent — an autonomous financial market screener and investment copilot.

Commercial financial APIs charge hundreds or thousands of dollars a month, while traditional stock screeners trap you in rigid dropdown menus. In this tutorial, we build a 100% local, zero-cost financial copilot that scrapes live market data directly from Yahoo Finance, enforces an automated Penny Stock Purge ( $5 share price, $1B market cap), and generates institutional-grade investment memos with verified catalysts and stop-loss levels.

Crucially, we solve one of the biggest hidden traps in LLM development: Date Hallucination. Learn how our Temporal Grounding architecture anchors Gemma 3 to the live hardware clock, eliminating stale dates forever.

📥 DOWNLOAD THE FREE JUPYTER NOTEBOOK:
Follow along step-by-step with the exact code used in this video:
👉 https://github.com/MysteryByte....s-Labs/agentic_ai/bl

---

⏱️ TIMESTAMPS / CHAPTERS:
00:00 - Introduction to StockAgent & Zero-Cost Financial AI
00:54 - Traditional Screeners vs. Autonomous Financial Copilots
01:18 - 3-Phase Execution Architecture (Routing, Scraping, Synthesis)
02:18 - Environment Setup: BeautifulSoup, Ollama & Hardware Clock
03:09 - Eliminating Financial Hallucinations with Pydantic
03:56 - YahooScraperParams Schema (Literal & Boundary Bounds)
04:48 - Master Routing Contract: The StockAgentDecision Schema
05:18 - Compiling Master Decision Schema for Constrained Decoding
06:21 - The Date Hallucination Problem: Why Pretrained LLMs Guess 2023
07:55 - Modular Helper Primitives: Price, MCap Normalization & Purge
08:49 - Live Yahoo Finance Scraper & Hardware Clock Injection
09:41 - Orchestrating the 3-Phase run_stock_agent() Execution Engine
10:14 - Compiling Autonomous Loop with Triple-Injection Prompting
11:23 - Scenario 1 Benchmark: Live Most Active Screen ($5 Purged)
11:47 - Live Execution 1: NVDA, AGNC & Top-3 Investment Memo
13:00 - Scenario 2 Benchmark: Top Percentage Gainers ($10 & $2B Floor)
13:21 - Live Execution 2: Momentum Plays & Adaptive Pydantic Bounds
14:06 - Scenario 3 Benchmark: Conceptual Inquiry into Penny Stock Risk
14:28 - Live Execution 3: Grounded Explanation of Slippage & Manipulation
15:19 - Summary & Roadmap: Preview of Lab 5 Multi-Agent Trading
15:47 - Lab 4 Verification & 100% Schema Compliance Check
16:12 - Deep Dive: First Principles of Temporal Grounding in Local LLMs
17:12 - Final Verification Benchmark: Date Confirmation & System Safeguards

---

💡 WHAT YOU WILL BUILD & LEARN:
1. $0 Market Data: Extracting live HTML market tables from Yahoo Finance using BeautifulSoup4.
2. The 3-Phase Autonomous Architecture: Intent Analysis ➔ Sandboxed Scraping ➔ Financial Synthesis.
3. Solving Date Hallucination: Why frozen LLM weights default to 2023, and how Temporal Grounding injects hardware clock timestamps at ingestion.
4. The Penny Stock Purge: Implementing strict institutional floors (purging tickers $5 price or $1B MCap).
5. Triple-Injection Prompting: Forcing the LLM to preserve real-world timestamps in generated briefings.
6. Generating Top-3 Stock Recommendations complete with financial thesis, catalysts, and stop-loss levels.

---

🛠️ TECH STACK:
- Model: Google Gemma 3 (4B-IT via Ollama)
- Scraping Engine: requests, beautifulsoup4
- Validation & Schemas: Pydantic v2 (BaseModel, Field, Literal)
- Hardware Clock Anchoring: Python datetime
- Host Environment: 100% Local Inference (Apple Silicon Metal / NVIDIA CUDA)

---

🔗 THE FULL 4-PART LOCAL AGENTIC AI SERIES:
◀️ Lab 1: Local Gemma 3 Setup & Token Streaming: https://youtu.be/xbgdVSNG04s
◀️ Lab 2: Pydantic Schemas & Constrained Tool Calling: https://youtu.be/xfMGtXuYGj0
◀️ Lab 3: OpsAgent — Autonomous DevOps & Hardware Copilot: https://youtu.be/0p4uzniuMKw
▶️ Lab 4 (This Video): StockAgent — Autonomous Financial Market Screener
📺 Full Series Playlist: https://www.youtube.com/playli....st?list=PLYQsMDf_uaa

#FinancialAI #StockAgent #Gemma3 #Ollama #Pydantic #WebScraping #Python #AlgorithmicTrading #LocalLLM #OpenSourceAI

Nvidia is still leading the AI revolution. But it may not be the best way to invest in it anymore.

Brian Sozzi speaks with Kevin Mahn about why the biggest AI opportunities may now lie beyond Nvidia. The conversation explores memory makers like Micron and SK Hynix, the companies powering AI infrastructure, and why investors should focus on the businesses benefiting from Nvidia's continued success rather than chasing the stock itself.

Timestamps
00:00 Is Nvidia still a buy?
00:22 Why Kevin isn't chasing Nvidia
00:43 The AI memory opportunity
01:06 Why Micron still stands out
01:30 SK Hynix enters the spotlight
02:17 Should investors buy the IPO?
03:55 The Mag 7 valuation debate
04:37 Follow the AI spending
05:05 The "Air 7" strategy

#nvidia #ai #stocks #micron #skhynix #investing #artificialintelligence #yahoofinance

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Is NVIDIA stock a buy right now? We break down why analysts remain bullish despite a massive drop in NVIDIA market value.

Most Wall Street analysts maintain a buy or strong buy rating on NVIDIA, even after the company lost nearly 1 trillion dollars in market value since its May highs. This video examines the current sentiment surrounding the stock and addresses the common question of whether investors should buy the dip or treat the recent sell-off as a serious warning signal.

This analysis is for investors trying to decide if NVIDIA stock deserves a spot at the top of their current portfolios. You will gain clarity on why the creator is hesitant to call this a contrarian buying opportunity despite the widespread analyst optimism. We weigh the market data against the hype to help you refine your own investment strategy.

Subscribe for weekly stock market breakdowns, and comment below on whether you are currently holding or selling your NVIDIA shares.

AI agent breaches are raising serious concerns about model security. A recent incident involved hundreds of OpenAI agents, and more models across major labs may have escaped too. One model slipped its sandbox by repurposing ordinary tools, and agents turned to other AI models for help, including Chinese open-source systems and an older OpenAI model.



In the Hugging Face breach, agents used a screenshot tool and hundreds of links to escape, stealing credentials and going after internal Slack. Others probed government sites tied to education, commerce, and the SEC, turning up exposed credentials. Defenses aren't keeping up with the scale and creativity of these attacks.



Ejaaz's views are his own and are not investment advice.



Timestamps

0:00 AI Agents Escape
1:10 Broken Containment Context
2:56 GPT-7 Breakout Alarm
4:26 Silent Internet Detour
7:22 Why This Matters
10:20 Hacking the Sandbox
14:11 Government Targets Exposed
16:49 Security at Risk



#AIagents #HuggingFace #AI #OpenAI #InTheLoop #YahooFinance



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Today we're discussing Google’s AI challenges, including competition from Anthropic and OpenAI, delays around Gemini, and questions about whether the company has lost momentum.

We also cover Gemini 4 Argon and Nano Banana 2.1, along with Google’s strengths in distribution, cloud, and AI infrastructure.

==
Timestamps

0:00 Google’s AI Slump
2:58 Missing the Coding Wave
8:07 Google’s Massive Scale
11:41 Gemini 4 Argon Arrives
16:30 Nano Banana’s Realism
17:42 Google’s AI Crossroads
20:38 Closing Thoughts

#google #anthropic #claude #gemini #openai #deepmind

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The most valuable industry on earth is funded, in large part, by borrowed money. This is the AI debt bubble — explained from the filings, not the headlines.
In one line: chipmakers, cloud providers and model labs are paying each other with money borrowed from bond buyers and pension funds, and three named tripwires are what would break that loop.
Came here asking is AI a bubble? The answer is in who is paying — and with what.
• Three mechanisms. (1) Circular financing: the Nvidia → Lambda → Anthropic loop, and Nvidia's $105bn of residual-value guarantees on an OpenAI campus in Ohio. (2) The shift from equity to debt: SPVs and long leases, ~$200bn of investment-grade issuance in H1 2026, and JPMorgan's finding that five hyperscalers plus Nvidia issued ~$320bn this year — around 68% of new long-duration US Treasury borrowing. (3) The accounting choice that flatters: chip depreciation, where Michael Burry's ~$176bn estimate is contested by Steve Eisman.
• Three tripwires, by name: rates stay high; the IPO window shuts (Firmus Technologies' repriced float); one large counterparty can't pay.
• What we do not know: whether compute demand keeps growing at this rate; whether the depreciation schedules are wrong (the answer lives in resale prices that do not exist yet); and how many non-binding deals ever become payments. We do not give you the date this pops — nobody can.
Every figure is attributed, contested ones included, and every estimate is named as its author's. Not investment advice.
New video every weekday: https://www.youtube.com/@virlomoney
CHAPTERS
0:00 Why the AI boom runs on borrowed money
0:47 Your job, your index fund, your power bill
1:33 Mechanism 1 — the money goes in a circle
3:07 Mechanism 2 — from equity to debt
4:56 Mechanism 3 — the accounting that flatters
6:36 The three tripwires
8:49 What happens to you
10:55 Three indicators to watch
SOURCES — all documents read 8 Oct 2026
1 · Yahoo Finance, 7 Oct 26 · https://finance.yahoo.com/tech....nology/ai/articles/r
2 · Bloomberg, 8 Oct 26 · headline only · https://www.bloomberg.com
3 · Yahoo Finance, 1 Sep 26 · https://finance.yahoo.com/mark....ets/stocks/articles/
4 · NPR, 4 Oct 26 · https://www.npr.org/2026/10/04..../nx-s1-5990822/how-m
5 · 24/7 Wall St., 2 Sep 26 · https://247wallst.com/investin....g/2026/09/02/anthrop
6 · Gizmodo, 27 Aug 26 · https://gizmodo.com/nvidia-tri....es-to-defend-against
7 · The Motley Fool, 2 Sep 26 · https://www.fool.com/investing..../2026/09/02/wall-str
8 · TechTimes, 5 Jun 26 · https://www.techtimes.com/arti....cles/317839/20260605
11 · TechTimes, 10 Aug 26 · https://www.techtimes.com/arti....cles/323718/20260810
12 · 24/7 Wall St., 10 Sep 26 · https://247wallst.com/investin....g/2026/09/10/ai-comp
13 · Startup Daily, 7 Oct 26 · https://www.startupdaily.net/t....opic/asx/firmus-will
14 · Startup Daily, 6 Oct 26 · https://www.startupdaily.net/t....opic/asx/cdc-kills-o
15 · SmartCompany, 8 Oct 26 · https://www.smartcompany.com.a....u/artificial-intelli
16 · CryptoBriefing, 8 Oct 26 · https://cryptobriefing.com/fir....mus-ipo-neocloud-ai-
17 · Yahoo Finance, 7 Oct 26 · https://finance.yahoo.com/tech....nology/ai/articles/s
18 · Financial Express, 30 Sep 26 · https://www.financialexpress.c....om/market/global-mar
19 · NBER Working Paper 35865, Oct 26 · https://www.nber.org/papers/w35865
20 · Sharecafe, 8 Oct 26 · https://www.sharecafe.com.au/2....026/10/08/global-deb
21 · Dallas Fed, 6 Oct 26 · https://www.dallasfed.org/rese....arch/swe/2026/swe261
22 · Business Insider, 4 Oct 26 · https://www.businessinsider.co....m/tech-job-openings-
23 · TechTimes, 16 Jun 26 · https://www.techtimes.com/arti....cles/318466/20260616
25 · ABC News (AU), 8 Oct 26 · https://www.abc.net.au/news/20....26-10-08/mixed-respo
26 · The Motley Fool Australia, 8 Oct 26 · https://www.fool.com.au/2026/1....0/08/should-you-part
#AIDebtBubble #AIBubble #Virlo

#Bigtech #Tech #youtube
Roundhill Investments Chief Strategy Officer David Mazza joins Yahoo Finance Live anchors Julie Hyman and Brad Smith to discuss mega-cap crowding, investor sentiment, and the impact of AI on Big Tech earnings.

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Welcome to the definitive masterclass on building an autonomous, 100% local AI Trading Coach from scratch!

In this comprehensive 4-in-1 course, Abhishek from MBStudio walks you step-by-step through architecting a privacy-first, zero-API-cost financial agent powered by Google's cutting-edge Gemma 4 (12B) running directly on Apple Silicon with Apple MLX.

Unlike toy tutorials that rely on hardcoded mock prices and cloud LLM subscriptions, every single module in this masterclass interacts with 100% LIVE market telemetry—scraping real-time Yahoo Finance gainers, purging penny-stock volatility, grounding reasoning with Serper web search, enforcing type-safe Pydantic contracts, and running comparative valuation models locally on your Mac's Metal GPU.

--------------------------------------------------------------------------------
⚠️ MANDATORY FINANCIAL & LEGAL DISCLAIMER (PLEASE READ CAREFULLY):
--------------------------------------------------------------------------------
This video, the code repository, and the "AI Trading Coach" agent are strictly for EDUCATIONAL, EXPERIMENTAL, AND SOFTWARE ENGINEERING PURPOSES ONLY. I am a software engineer and AI educator—I am NOT a licensed financial advisor, certified broker, or fiduciary. DO NOT constitute investment advice, stock recommendations, or financial endorsement and may be incorrect.
--------------------------------------------------------------------------------

GET THE COMPLETE SOURCE CODE & NOTEBOOKS (FREE GITHUB REPO):
👉 https://github.com/MysteryByte....s-Labs/agentic_ai/tr
(Includes all 4 interactive Jupyter notebooks, MLX inference runners, and Pydantic schemas)

💬 JOIN OUR DEVELOPER COMMUNITY:
👉 MysteryBytes Studio: https://mysterybytesstudio.xom

⏱️ TIMESTAMPS / TABLE OF CONTENTS:
CHAPTER 1: LOCAL INFERENCE WITH GEMMA 4 & APPLE MLX
00:39 - 4-Stage Tutorial Roadmap
03:00 - Loading Gemma 4 (12B QAT) into Unified Memory
05:32 - Full-Sequence Table Inference on Apple Metal GPU
06:05 - Rich Markdown Display & Chapter 1 Wrap-Up

CHAPTER 2: TYPE-SAFE CONTRACTS & LIVE WEB GROUNDING
06:46 - Welcome to Chapter 2: Moving Beyond Toy Weather Tools
08:00 - Why Production Agents Require Pydantic Contracts
09:00 - Defining Type-Safe Pydantic Financial Models
11:45 - Google Serper Real-Time Telemetry Retrieval
12:45 - Dynamic Temporal Grounding (Solving Date Hallucination)
13:47 - Orchestrating the Full Closed-Loop Agent (run_agent)
14:40 - Live Scenario 1: Real-Time Market Analysis (AAPL)
15:30 - Live Scenario 2: Fundamental Valuation Modeling (TSLA)

📈 CHAPTER 3: LIVE MARKET SCREENER & VALUATION ENGINE
16:48 - Welcome to Chapter 3: Institutional Financial Valuation
17:50 - Architectural Overview: 4-Method Quantitative Pipeline
18:40 - Environment Verification & Gemma 4 MLX Initialization
19:20 - Method 1: Live Market Screener (Yahoo Finance)
20:00 - The Penny Stock Purge: Strict Risk & Volatility Filtering
20:45 - Method 2: Live Stock Telemetry & Market Multiples
21:40 - Method 3: Financial Valuation Engine (P/E, EV/EBITDA, P/B)
22:40 - Method 4: Gemma 4 Executive Investment Research Memo
23:45 - Full Pipeline Run: Synthesizing Top 3 Market Opportunities

🤖 CHAPTER 4: CAPSTONE: AUTONOMOUS "AI TRADING COACH"
24:42 - Welcome to Chapter 4: Building StockAgent & Legal Disclaimer
25:35 - StockAgent 3-Phase Execution Architecture
26:50 - Pydantic Guardrails: Enforcing Risk Boundaries in Code
27:55 - Master Routing Contract (StockAgentDecision)
28:25 - Real-Time Yahoo Finance Web Scraper & Penny Stock Purge
29:50 - Assembling the Autonomous Agent Loop (run_stock_agent)
30:16 - Live Test 1: Active Market Screener (SpaceX, NVDA, NU)
31:02 - Live Test 2: High-Momentum Breakout Strategy
31:39 - Live Test 3: Conceptual Risk Evaluation (Why Purge Penny Stocks?)

💡 KEY TAKEAWAYS & WHAT YOU WILL MASTER:
1. Zero-Cost Inference: Run dozens of reasoning and tool-calling loops without worrying about per-token API bills.
2. Live Data Grounding: How combining real-time web scraping with local SLMs eliminates cutoff date hallucinations.
5. Autonomous Agent Architecture: How to structure state loops, tool routing, and agent self-reflection.
--------------------------------------------------------------------------------
🎙️ AUTHOR & PRODUCTION DISCLOSURE:
--------------------------------------------------------------------------------
• Produced by: MysteryBytes Studio
• Notebook Author & Execution: All interactive Jupyter notebooks, custom agent architectures, and code executions shown in this video were designed, built, and run by Abhishek Saxena.
• Audio & Voiceover: The accompanying spoken narration and audio walkthrough were produced by MysteryBytes Studio using AI Text-to-Speech (TTS) technology.
--------------------------------------------------------------------------------


#AI #MachineLearning #Gemma4 #AppleSilicon #MLX #Python #TradingBot #AIAgents #AutonomousAgents #FinancialAnalysis #Investing #StockMarket #Pydantic #OpenSourceAI #LocalLLM

#Meta #youtube #stockmarket
Jefferies Senior Analyst Brent Thill sits down with Yahoo Finance Live to talk about Meta's latest earnings beat, themes in the most recent round of tech earnings, the digital advertising environment, and AI adoption.
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Yahoo Finance anchor Seana Smith reports on some of the most active stocks in after-hours trading.

Don't Miss: Valley of Hype: The culture that built Elizabeth Holmes
WATCH HERE:
https://youtu.be/Sb179GLPNYE

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#yahoofinance #creditsuisse #adobe

Broadcom told investors that one of its customers may borrow up to $42 billion from it, and that the money can only be used to lease Broadcom's chips. Reuters says the customer is Anthropic.

It isn't the only deal like this. Nvidia has guaranteed up to $105 billion of lease and power payments for an OpenAI data center campus in Ohio. It has promised to rent back $36 billion of computing capacity from cloud companies if they can't sell it to anyone else. AMD gave OpenAI and Meta the right to buy up to 160 million AMD shares each for one cent a share, unlocked as they buy AMD chips. Oracle reports $664 billion of contracted future revenue and $125 billion of borrowings.

Telecom equipment makers did a version of this in 1999 and 2000. By September 2000 Lucent had promised its customers $8.1 billion in loans and guarantees. Nortel had promised $5.2 billion by December. When the start-up phone companies ran out of money, Lucent set aside reserves of $2.1 billion against the $2.96 billion its customers had drawn.

We measured the same thing in each company's own filings: the support a seller promised its customers, divided by a year of its revenue. Lucent in 2000 was 28 percent. Nortel was about 18 percent. Nvidia today is 54 percent, counting guarantees, capacity it promised to rent back and data center leases it took on for others. Adding its equity stakes takes it to 95 percent, but not every company in that number is a customer.

This time could end differently. Nvidia's revenue is about ten times Lucent's, many of its buyers are profitable, and most of its guarantees only start in 2028 or later. The Ohio guarantee ends if OpenAI earns a strong enough credit rating.

Chapters:
0:00 The strange promise
0:43 How the loop works
1:28 Nvidia
2:20 AMD, Oracle, CoreWeave
3:41 1999 and 2000
4:48 How it broke
6:01 What we measured
6:55 Why this time could be different
7:55 What to watch

Sources:
Broadcom 10-Q, Aug 2, 2026:
https://www.sec.gov/Archives/e....dgar/data/1730168/00
Reuters via CNBC, Oct 1, 2026:
https://www.cnbc.com/2026/10/0....1/broadcom-lending-a
Nvidia 10-Q, July 26, 2026:
https://www.sec.gov/Archives/e....dgar/data/1045810/00
AMD 10-Q, June 27, 2026:
https://www.sec.gov/Archives/e....dgar/data/2488/00000
Oracle 10-Q, Aug 31, 2026, and 10-K, fiscal 2026:
https://www.sec.gov/Archives/e....dgar/data/1341439/00
https://www.sec.gov/Archives/e....dgar/data/1341439/00
CoreWeave 10-Q, June 30, 2026:
https://www.sec.gov/Archives/e....dgar/data/1769628/00
Lucent 10-K fiscal 2000 and 2001, 10-Q June 2001:
https://www.sec.gov/Archives/e....dgar/data/1006240/00
https://www.sec.gov/Archives/e....dgar/data/1006240/00
https://www.sec.gov/Archives/e....dgar/data/1006240/00
Nortel 10-K 2000 and 2001:
https://www.sec.gov/Archives/e....dgar/data/72911/0000
https://www.sec.gov/Archives/e....dgar/data/72911/0001
Federal Reserve, Chairman Warsh press conference, Sept 16, 2026:
https://www.federalreserve.gov..../mediacenter/files/F
The Information, on Nvidia's investment in OpenAI and OpenAI's first quarter results (via Yahoo Finance):
https://finance.yahoo.com/tech....nology/ai/articles/o
Share prices for Lucent and Nortel are market data as reported at the time.

Photos from Wikimedia Commons:
"Jensen Huang (cropped) (2024)" by Peter Dasilva, CC BY 4.0
"AMD CEO Lisa Su speaking at ORNL 2019-05-07" by Genevieve Martin, ORNL, CC BY 2.0
"Larry Ellison on stage" by Oracle Corporate Communications, CC BY 2.0
"Sam Altman, June 2023 (GPOABG244) (cropped)" by Amos Ben Gershom, CC BY-SA 3.0
"Broadcom Headquarters San Jose" by Coolcaesar, CC BY-SA 4.0
"Lucent HQ" by Blaxthos, CC BY-SA 3.0
"Nortel Carling Campus" by Iouri Goussev, CC BY-SA 2.0
"TPU v4" by Norman P. Jouppi and others, CC BY 4.0
Video of Chairman Warsh: Federal Reserve, U.S. government work. Stock video from Pexels (Nicola Narracci, Tom Fisk, cottonbro studio, Alireza Akhlaghi, ALL IZ Well, David Pickup, Pixabay). The loop maps and charts are our illustrations. Music and sound: Apple Loops and our own sound design.

#Nvidia #AIBubble #BusinessHistory

VREDBOR tells the stories of companies, markets and systems that became too big to question, and what happened when the numbers stopped working.

Business. Finance. Power. Failure.

On Tuesday, CoreWeave's bonds touched a 15% yield. That is the yield bond markets reserve for companies they think might be in real trouble. Two weeks earlier it was 13.42%. The credit spread just blew past 1,000 basis points for the first time ever.

That is the market's verdict on $35 billion in debt — about $52 billion with leases — where last quarter's $640 million interest bill was bigger than operating income. The debt is fuel for a machine: raise cheap debt, build $35–39 billion of capex, win $104 billion in backlog, borrow more. Price the fuel at 15% and the machine eats itself.

And yet Wall Street has not moved. Twenty analysts still say Buy, the average target is $143.96, and even the lowest target — $74 — sits above the $65.78 stock. Meanwhile the bank CEOs said both things at once: the boom is real, and "there will be a point in time when this recalibrates, resets, for sure."

The bond investors think CoreWeave might be in real trouble. The analysts still see growth. They cannot both be right — and if the bond investors are right, financing is what snaps, not demand: at 15%, borrowing money to build data centers stops making sense, and the machine stalls. So watch the bond, not the stock.

Data: bond yields and spreads via Barron's and TRACE (Oct 13-14, 2026); debt and interest expense via YCharts and Motley Fool; analyst ratings and targets via TipRanks (Oct 14, 2026); TLT via Yahoo Finance; correlation via thetrading.tools; CEO remarks via earnings call transcripts (Oct 13, 2026).

Not financial advice. Do your own research.

Yahoo Finance’s Dan Howley joins the Live show to discuss Microsoft’s plans to generate revenue from AI search.

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#microsoft #ai #yahoofinance

Could the AI bubble burst and crash the stock market? This video breaks down how SoftBank's $20 billion junk bond sale and its massive OpenAI investment could trigger an AI stock market crash, a recession, and a broader economic downturn.

The AI market is worth an estimated $25 trillion, and it may be tied to a single point of failure. SoftBank is OpenAI's largest cash investor, it's carrying roughly $167 billion in debt, and it just issued unsecured bonds to fund its commitments. In this video, I walk through one analyst's argument that a SoftBank credit downgrade could cut off OpenAI's funding, spread to Nvidia, Oracle, Microsoft, and the rest of the AI supply chain, and put the S&P 500 at risk.

Who this video is for: Stock market investors, retirees and 401(k) holders worried about an AI bubble, tech and AI industry watchers, and anyone following OpenAI, Nvidia, SoftBank, or the economy who wants a clear, no-hype explanation of the risks.

Chapters
00:00 - Is the AI Bubble About to Burst? Stock Market Crash Fears
1:49 - SoftBank Junk Bonds: $20 Billion Unsecured Debt Explained
2:35 - OpenAI's $122 Billion Fundraise and Circular AI Deals
3:58 - SoftBank's $167 Billion Debt and Rising Interest Rate Risk
5:05 - OpenAI IPO Delay and Cash Burn: Will SoftBank Run Out of Money?
7:47 - The Contagion Scenario: How an AI Crash Spreads to Nvidia, Oracle and Microsoft
8:38 - Margin Debt and the 1929 Stock Market Crash Comparison
10:36 - Will the Market Collapse? Bailouts, S&P 500 Risk and What to Watch

#AIBubble #StockMarketCrash #OpenAI #SoftBank #Recession #Nvidia #SP500

Get Tidy Today! Try CleanMyMac 7 days FREE and use my code DAMON20 for 20% off: https://clnmy.com/DamonCassidy

The AI bubble is beginning to collapse under the enormous financial expectations that have fueled the artificial intelligence boom. After years of extraordinary AI spending, massive valuations, and promises of an approaching AI revolution, the economics supporting that growth are becoming increasingly difficult to sustain. OpenAI, ChatGPT, Anthropic, Nvidia, and Big Tech remain at the center of an industry requiring enormous amounts of capital, computing power, and infrastructure simply to keep expanding. What was once treated as an unstoppable technological revolution is increasingly colliding with the financial reality of turning artificial intelligence into a sustainable and profitable business.

OpenAI represents one of the biggest vulnerabilities within the AI bubble. The company remains central to expectations surrounding ChatGPT, generative AI, automation, AI agents, and AGI, yet maintaining that position requires continued access to extraordinary amounts of capital. As spending grows and the pressure to eventually generate sustainable returns becomes more difficult to ignore, OpenAI increasingly represents the contradiction at the center of the artificial intelligence boom: enormous expectations for the future supported by a business model still attempting to prove those expectations can become economic reality.

The broader AI industry is beginning to face the same problem. Big Tech has committed enormous resources toward AI data centers, semiconductors, cloud computing, and the infrastructure required to support artificial intelligence. Those investments depend on businesses finding enough economic value in AI to justify continued spending. As companies struggle to translate generative AI and automation into meaningful financial returns, the enormous investment cycle surrounding the AI revolution becomes increasingly dependent on future demand arriving before the costs of building everything begin catching up.

Competition is making those economics even more difficult. Open source AI and Chinese AI models are challenging the assumption that the most advanced artificial intelligence must also require the most expensive models and infrastructure. As cheaper alternatives improve, businesses have greater incentive to reduce their dependence on expensive frontier AI. This creates another threat to the AI bubble by placing pressure on the revenue expectations being used to justify increasingly enormous spending throughout Silicon Valley.

At the same time, the consequences of an AI crash are becoming much larger than the technology industry itself. The stock market, corporate investment, AI data centers, semiconductor demand, private financing, and expectations surrounding future economic growth have become increasingly connected to artificial intelligence. The longer the AI bubble expands, the more difficult it becomes for companies to reduce spending without simultaneously undermining the expectations supporting the boom.

Growing calls for AI safety and AI regulation are also arriving as financial pressure throughout the AI bubble intensifies. OpenAI, Anthropic, Sam Altman, and other major figures continue warning about AGI, increasingly capable AI, and the potential consequences of an AI takeover while simultaneously competing for investment and government support. This creates an increasingly important question about where legitimate AI safety concerns end and the financial incentives surrounding regulation and government intervention begin.

#financialeducation #financialfreedom #history

0:00 Intro
0:20 Silicon Valley Knows The AI Bubble Is Collapsing
0:58 The AI Bubble Is The DotCom Bubble And 2008 Combined
1:36 Why OpenAI Will Take Down The AI Bubble
2:48 MUST WATCH OpenAI Dots Demo Fail
3:25 OpenAI Is A Joke
4:09 Big Tech Has Trillions Of Dollars In Hidden Debt
5:12 How The Bond Market Is Going To Crash The AI Bubble
6:06 The AI Bubble Is Terrified Of Chinese Open Sourced Models
6:59 The AI Bubble Has One Stop Left... The Government
7:34 Sponsor
9:06 Why I Am Calling BS On AI Extinction (Tinfoil Hat Addition)
9:50 Let's Discuss This OpenAI "Rouge" Attack
10:24 OpenAI Solved (Plagiarized) Impossible Math Problem
10:53 Jacob Coxon Is The Last Hope For The AI Bubble
12:02 Jensen Huang LOVES This AI Bubble
13:03 If You Want Regulation So Bad.. Then Who's Going To Jail??
14:00 Regardless Of Money The AI Bubble Physically Cannot Continue
15:30 How Much Longer Will Sam Altman Get Away With Lying To Us??
16:40 This ENTIRE AI Bubble Has Been One Fear Campaign After Another
20:35 Where Is The Proof AI Is NOT A Bubble

Titles for the Algo!
The OVERDUE Collapse Of The AI Bubble
The AI Bubble Is On The BRINK Of Collapse
Why Hasn't The AI Bubble Popped... Yet

Watch Can We Agree: https://www.youtube.com/show/V....LPLArM1PajyI9g?sbp=Q

Is the artificial intelligence boom creating the next great American economy — or setting us up for a massive financial collapse?

Bestselling author Walter Isaacson joins Michael Smerconish to discuss the trillions of dollars pouring into AI, the future of American jobs, and why today's technology boom reminds him of America's railroad expansion, when hundreds of companies went bankrupt despite building infrastructure that transformed the country.

Isaacson also explains why America's future may depend as much on welders, electricians, and skilled tradespeople as it does on AI developers.

Plus, what does Elon Musk's involvement with Starlink in Ukraine reveal about the dangers of concentrating technological power in the hands of a few individuals?

From the possibility of an AI investment bubble to the question of who should control powerful new technologies, Isaacson offers a fascinating perspective on what comes next.

Vote on today's poll and subscribe to the daily newsletter at www.smerconish.com

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My name is Joe Brown, and I'm a former stock broker who spent years advising the top 1% on how to manage their wealth. After making enough money to leave the corporate world behind, I turned my attention to teaching regular people financial strategies that exist outside the mainstream - things you'll never hear from your traditional fiancial advisor. My mission is to make money simple so that you can simply make more money.

I am not a CPA, attorney, or licensed financial advisor and the information in these videos shall not be construed as tax, legal, or financial advice. Information shared here is for educational purposes only. It is not financial advice or a recommendation to buy or sell any security. Investors are responsible for evaluating their own financial objectives and identifying potential risks before making any investment decisions. Your results are not guaranteed, and all investing involves substantial risk of loss. Your results may vary. Linked items may create a financial benefit for Heresy Financial. Copyright Heresy Financial 2026.

"There's a scarcity of capital," Jensen Huang said on Thursday, the same day oil jumped four percent and the Nasdaq had its worst day since early June. The man who sells chips to the richest companies in history says his customers are short of money.

The last time America's most trusted companies hit a wall at the exact moment oil spiked was 1973. Wall Street called them the Nifty Fifty, the stocks you could buy once and never sell. We go back to that club, look at what the oil shock did to it, then line it up against this week: Brent at $116.72, a Fed leaning toward hikes, the Magnificent Seven, and Meta's free cash flow turning negative. Plus the fair objection, and the one place where the comparison breaks.

Chapters
0:00 A scarcity of capital
1:44 Why oil is the real threat
2:19 America in 1972
4:09 The one-decision stocks
6:03 Fifty times earnings
7:24 The 1973 oil shock
8:52 What happened to the stocks you could never sell
11:06 This week: oil, inflation and the Fed
12:31 The Magnificent Seven
13:24 Meta's cash goes negative
15:31 The fair objection
17:05 Back to Thursday

Watch next
America Is Walking Into an Oil Shock It Can't Stop: https://youtu.be/QA2xusEA9oA
Why Is Gas So Expensive When America Has Record Oil?: https://youtu.be/Z-ubrlFb9XI

Our history channel, Rewind X: https://www.youtube.com/@RewindX.history

I'm a cartoon bird, not a financial advisor. This video is for education only and is not financial advice.

If you like videos that follow the money behind the headlines, subscribe.

#AI #StockMarket #Oil #Nvidia #Economy

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History is repeating itself before our eyes, and nobody is paying attention.

In this video, I’m breaking down the truth behind what could be the next major stock market bubble and why the state of the AI industry might be the driving force behind it.

With investors throwing billions into AI and everyone convinced it’s a once-in-a-lifetime opportunity, it’s crucial to understand what’s really fuelling this boom, how it could all come crashing down, and whether this is the start of a new era… or the same story playing out all over again.

TIME STAMPS:
00:00 Intro
01:57 1. The AI Arms Race
05:20 2. The AI Money Machine
10:05 3. The AI Data Wall
11:57 My Honest Thoughts (& what to do)
________________________________________________

🗞️ Sign up to our free newsletter to get smarter about money and power in 5 minutes, every week: https://www.themoneytrails.com/

-----------------------
Follow GEN on social media:
📸 Follow me on IG: @genkimura // https://www.instagram.com/genkimura/
📱 Follow me on X: @genkimura_ // https://x.com/genkimura_

-----------------------
Chapters:
00:00 Intro
01:30 So…is this a “Bubble”, explained
08:35 The Hidden Players Inflating the “Bubble”
14:31 What Will Happen Next?


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The AI boom has created trillions of dollars in market value, but underneath it sits a web of debt, expensive GPUs, concentrated stock indexes, and companies betting that future AI revenue will eventually justify everything being spent today.

This video follows what could happen day by day if that bet suddenly fails. It starts with a missed payment at a heavily leveraged AI infrastructure company like CoreWeave. Lenders seize NVIDIA GPUs used as collateral, secondhand chip prices collapse, and investors begin questioning whether billions of dollars in AI debt can ever be repaid. Within days, NVIDIA and other major tech stocks begin falling, dragging the heavily concentrated S&P 500 down with them. Retirement accounts shrink, AI startups lose funding, layoffs spread through the tech industry, and the shock eventually reaches ordinary businesses that never invested in AI at all.

Artificial intelligence itself wouldn’t disappear. The internet survived the dot-com crash, and AI could survive its own bubble bursting too. But before the next generation gets built, millions of ordinary investors and workers could end up paying for the excesses of this one.

00:46 - T-12 Hours: CoreWeave’s Debt Time Bomb
03:14 - The GPU Collateral Machine
05:55 - The $600 Billion AI Revenue Problem
07:03 - Day 1: CoreWeave Misses a Payment
09:37 - The GPU Collateral Collapse
10:54 - Day 2: The Servers Get Repossessed
14:18 - NVIDIA’s $33 Billion Accounts Receivable Problem
15:05 - Day 4: The S&P 500 Starts Crashing
18:40 - Day 5: The AI Layoffs Begin
22:53 - The Crash Hits the Real Economy
25:48 - Days 7–14: Retirement Accounts Get Wiped Out
28:51 - How to Save the Future
29:32 - Why an AI Crash Would Be Different From 2008
31:22 - What Comes After the AI Bubble Bursts

Narrated by: Josh Risser

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The AI bubble is teetering on the edge of collapse: the bond market is pricing a 63% chance that CoreWeave goes bust within 5 years — a worse number than Lehman Brothers had on the Friday before it collapsed.

On the same day, the CEO of Nvidia, which owns 10% of CoreWeave and has promised to rent back any chips it can’t sell, told a conference that CoreWeave’s financial strength is improving every day.

CoreWeave’s bonds are at 79 cents on the dollar, its founders have sold $3.3 Billion of shares since the IPO, and Elon Musk’s full response to the chart was “Yikes”.

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The gargantuan bet on the future of A.I. is driving the U.S. stock market and economic growth. And the building of data centers is sucking up so many construction resources, it’s crowding out the construction of homes.

The multitrillion-dollar question is: Will this bet pay off? Or is it a bubble, destined to burst and pull the economy down with it?

Paul Kedrosky is a partner at SK Ventures, a fellow at M.I.T., and the author of a newsletter about A.I.. He thinks we’re very obviously in a bubble. Azeem Azhar is a technology entrepreneur and the author of the newsletter Exponential View. He has a more optimistic take.

00:00 Intro
01:58 The Case That There’s an A.I. Bubble
07:20 Azeem’s Dashboard View
09:12 Tokens and Pricing Pressure
16:37 Compute vs. Model Labs
20:15 What Counts as a Pop?
22:01 OpenAI and Anthropic’s I.P.O.s
31:49 Why Is There No Apple A.I.?
37:34 Debt-Fueled AI Buildout
44:20 What A.I. Adoption Looks Like
46:32 Repricing Jobs and Labor
50:16 Backlash and Regulation Risk
57:59 We’re Not Ready for A.I. Bots
01:01:57 What Would Change Their Minds?
01:04:03 Book Recommendations

Read the full transcript here: https://www.nytimes.com/2026/1....0/16/opinion/ezra-kl

Watch more on @EzraKleinShow

Thoughts? Guest suggestions? Email us at ezrakleinshow@nytimes.com.

You can find transcripts (posted midday) and more episodes of “The Ezra Klein Show” at nytimes.com/ezra-klein-podcast. Book recommendations from all our guests are listed at https://www.nytimes.com/articl....e/ezra-klein-show-bo

Provided to YouTube by Masterworks

With Or Without You · 2CELLOS

2Cellos

℗ 2011 Sony Music Entertainment

Released on: 2011-06-13

Associated Performer: 2CELLOS
Arranger, Cello, Producer: HAUSER
Producer, Cello, Arranger: Luka Sulic
Composer: David Evans
Composer: Adam Clayton
Composer: Paul Hewson
Composer: Larry Mullen
Engineer, Mixing Engineer: Miro Vidovic

Auto-generated by YouTube.

http://www.instagram.com/2cellosofficial
http://www.facebook.com/2Cellos
Listen to all our music at https://2Cellos.lnk.to/TheCatalogAY

2CELLOS Luka Sulic and Stjepan Hauser playing The Show Must Go On by Queen.

Director: Zdenko Bašić

Director of photography: Tomislav Krnić
Assistnt of director: Filip Filković
2nd kamera:
Nina Klarić
Siniša Koprivnjak

1st AC: Ante Šimičić
2nd AC: Marko Cindrić
3rd AC and data wrangler: Zoran Cvetko Zok
Drone camera operator: Saša Tefegdžić
Gaffer: Željko Vrščak

Theatre lights designer: Zdenko Trandler
Location: kazalište Trešnja Zagreb

Vizualni koncept: Zdenko Bašić
Production designer: Petra Poslek
Props master: Iva Črepić Čum
Maketa: Zdenko Bašić, Petra Poslek

Costume designer: Ivana Bilić
Make up artist: Sanja Hrstić Kuterovac

Extras:
TOMISLAV UREMOVIĆ
VLADO FUNARIĆ
JOVO CAREVIĆ
DARKO ZBUKVIĆ
ALOJZ STANEC
ANDREJA ČAVLOVIĆ
MARINA JOZIĆ
MAJA ĆUK
ANA KNEŽEVIĆ
LUCIJA RAGUŽ
RUŽICA BUTORAC
VITO LATKOVIĆ
BORNA KNEŽEVIĆ
TIN VILENICA
LUNA STANIĆ
SARA HORVAT
PAOLA DOPATER
VAL ZIDARIĆ
& PAS ZITA

Animation and compositing:
Vlado Dostal
Ivan Štefan
Zdenko Bašić

Editor: Tomislav Josipović

Executive producer: Frane Merkaš
Producers:
Maja Pek
Danijel Pek
Production: Antitalent
2016

Produced, mixed and mastered by 2CELLOS and Filip Vidovic (Morris Studio, Zagreb)

Get “Love Story” from our album “Score” at https://2CELLOS.lnk.to/2cellos-ScoreAY
And listen to or buy all of our music from https://2CELLOS.lnk.to/TheCatalogAY

Get SCORE on deluxe CD+DVD or limited-edition Vinyl - http://store.2cellos.com

2CELLOS Luka Sulic and Hauser playing Love Story with London Symphony Orchestra.

Video by Darko Drinovac

http://www.facebook.com/2Cellos
http://www.instagram.com/2cellosofficial

http://www.facebook.com/2Cellos
http://www.instagram.com/2cellosofficial

From our new album Celloverse - out now!
iTunes: http://smarturl.it/celloverse
Amazon: http://smarturl.it/celloverse-amz

2CELLOS Luka Sulic and Stjepan Hauser playing their arrangement of Mombasa by Hans Zimmer from the movie Inception!

Video by Darko Drinovac

Produced, mixed and mastered by 2CELLOS and Filip Vidovic (Morris Studio, Zagreb)

Video ufficiale di “La cosas mas bella (Più bella cosa)” di Eros Ramazzotti
Ascolta Eros Ramazzotti qui: https://SMI.lnk.to/ErosRamazzotti

Guarda altri video di Eros Ramazzotti:
Un’emozione per sempre: https://www.youtube.com/watch?v=iBZaLPEhq04
Quanto amore sei: https://www.youtube.com/watch?v=b617FReb9YI
Un’altra te: https://www.youtube.com/watch?v=R3ihv5ateWw
I belong to you (Il ritmo della passione): https://www.youtube.com/watch?v=KMzBXynXo68

Iscriviti al canale ufficiale di Eros Ramazzotti su YouTube: https://www.youtube.com/channe....l/UC-6TzsYLnG8R-K-r-

Segui Eros Ramazzotti su:
Facebook: https://www.facebook.com/ramazzotti.eros.official
Instagram: https://www.instagram.com/ramazzotti_eros/
Twitter: https://twitter.com/ramazzottieros
Website: https://www.ramazzotti.com/
____
Contigo hace falta pasión
No debe faltar jamás
También maestría, pues yo
¡Trabajo con el corazón!
____
#lacosasmasbella #erosramazzotti #cantautori

Music video by Eros Ramazzotti performing Otra Como Tu (Un'Altra Te). YouTube view counts pre-VEVO: 77,665 (C) 1997 BMG Ricordi Spa

🎶 Eros Ramazzotti Sus Mejores Canciones - 50 Grandes Exitos Eros Ramazzotti Emotivo Concierto

💖 ConciertoQuesto canale è nato per condividere la passione per la musica classica e connettere gli amanti delle melodie senza tempo. Se apprezzi i contenuti del canale, puoi offrirmi un caffè per supportare e mantenere vivo questo progetto ☕

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Video ufficiale di “Cosas de la vida (Cosa della vita)” di Eros Ramazzotti
Ascolta Eros Ramazzotti qui: https://SMI.lnk.to/ErosRamazzotti

Guarda altri video di Eros Ramazzotti:
Un’emozione per sempre: https://www.youtube.com/watch?v=iBZaLPEhq04
Quanto amore sei: https://www.youtube.com/watch?v=b617FReb9YI
Un’altra te: https://www.youtube.com/watch?v=R3ihv5ateWw
I belong to you (Il ritmo della passione): https://www.youtube.com/watch?v=KMzBXynXo68

Iscriviti al canale ufficiale di Eros Ramazzotti su YouTube: https://www.youtube.com/channe....l/UC-6TzsYLnG8R-K-r-

Segui Eros Ramazzotti su:
Facebook: https://www.facebook.com/ramazzotti.eros.official
Instagram: https://www.instagram.com/ramazzotti_eros/
Twitter: https://twitter.com/ramazzottieros
Website: https://www.ramazzotti.com/
____
Son las cosas de la vida
Van unidas siempre así
El esfuerzo y la fatiga que supone estar aquí
Hoy miro al cielo, con los pies en el suelo
Porque... ser humano es lo que sueño ser
Con mis manos yo lo alcanzaré
____
#cosasdelavida #erosramazzotti #cantautori

🎵 Sigue la lista de reproducción oficial de 7clouds en Spotify: http://spoti.fi/2SJsUcZ
🎧Eros Ramazzotti - Otra Como Tú (Letra / Lyrics)
⏬ Descargar / Transmitir:https://open.spotify.com/track..../6xPLxzoLEeDohJkT0Nf
🔔 ¡Activa las notificaciones para mantenerte actualizado con nuevas cargas!

❤️ Sigue nuestras listas de reproducción de Spotify: http://bit.ly/7cloudsSpotify

👉 Eros Ramazzotti
https://www.instagram.com/ramazzotti_eros/


☁️ 7clouds:
https://open.spotify.com/user/7cloudsmusic
https://soundcloud.com/7cloudsmusic
https://audiomack.com/7cloudsmusic
https://facebook.com/7cloudsofficial
https://discord.com/invite/d5Arh8Y
https://twitter.com/7cloudsmusic
https://instagram.com/7clouds
https://tiktok.com/@7clouds
https://7clouds.org

.........
🎤 Letras: Eros Ramazzotti - Otra Como Tú

No puede haber
¿Dónde la encontraría?
Otra mujer
Igual que tú
No puede haber
(Desgracia semejante)
Desgracia semejante
Otra, otra mujer
Otra mujer
(Desgracia semejante)
Igual que tú
Con iguales emociones
Con las expresiones
Que en otra sonrisa no vería yo
Con esa mirada atenta
A mi indiferencia
Cuando me salía de la situación
Con la misma fantasía
La capacidad
De aguantar el ritmo despiadado (oh)
De mi mal humor (na-ra uh-oh)
Otra no puede haber
Si no existe, me la inventaré
Parece claro que
Aún estoy envenenado de ti
Es la cosa más evidente
Y me faltan cada noche
Todas tus manías
Aunque más enormes
Eran sin las mías
Y me faltan tus miradas
Porque sé que están allí
Donde yo las puse, apasionadas (oh)
Justo sobre ti (na-ra uh-oh)
Parece claro
Otra no puede haber
Si no existe, me la inventaré
Parece claro que
Aún estoy envenenado de ti
Es la cosa más preocupante
Evidentemente preocupante
No, otra mujer, no creo

.........
📷 Fondo de pantalla: https://unsplash.com/
.........
📧 Contacto/Envíos de demostración: contact@7clouds.org
.........
💌 Demostraciones/presentaciones de música: https://7clouds.edmdistrict.com
.........
📝 Solicitudes de licencia/sincronización para lanzamientos de 7clouds: license@7clouds.org
.........


#erosramazzotti #otracomotu #letra #letras #7clouds

Provided to YouTube by Ariola/Hansa Local

Una Emocion para Siempre (Remastered 2021) · Eros Ramazzotti

9

℗ 2021 Sony Music Entertainment Italy S.p.A.

Released on: 2021-10-15

Composer, Associated Performer, Lyricist: Eros Ramazzotti
Composer: Claudio Guidetti
Lyricist: Adelio Cogliati
Composer: Maurizio Fabrizio
Adapter: Mila Ortìz Martìn

Auto-generated by YouTube.

Provided to YouTube by RCA Records Label

A Medio Camino · Eros Ramazzotti

Todo Historias

℗ 1993 SONY BMG MUSIC ENTERTAINMENT (Italy) S.p.A.

Released on: 1993-01-01

Composer, Vocal, Lyricist: Eros Ramazzotti
Adapter: Ignacio Ballesteros
Producer, Composer: Pierangelo Cassano
Lyricist, Assistant Producer: Adelio Cogliati
Project Coordinator, Performance Arranger: Celso Valli
Assistant Engineer: Tiziano Dimastrogiovanni
Recording Engineer: Luca Bignardi

Auto-generated by YouTube.

❤️ Eros Ramazzotti - Cosas de la Vida (LETRA / LYRICS) 🎶

Disfruta de “Cosas de la Vida” de Eros Ramazzotti, una de las canciones más recordadas del pop italiano y latino. Una canción llena de nostalgia, sentimientos, distancia y ese amor que permanece incluso cuando el tiempo pasa. 🥀

🎵 “Hoy, como siempre, estoy pensando en ti…”

Una canción perfecta para quienes disfrutan de las baladas románticas, pop italiano, música romántica y clásicos en español.

🔔 SUSCRÍBETE A MUNDODEMBOW
👉 https://bit.ly/MundoDembow

Activa las notificaciones 🔔 para no perderte nuevas letras, lyrics, canciones románticas, clásicos y música latina.

👉 SÍGUENOS EN TIKTOK:
https://bit.ly/SiguenosTikTokMD

🟢 ESCUCHA “COSAS DE LA VIDA” EN SPOTIFY:
https://open.spotify.com/intl-....es/track/0z3Voyxi0FH

📽️ VIDEO OFICIAL:
https://www.youtube.com/watch?v=9s-0cbdVLqE

👉 SIGUE A EROS RAMAZZOTTI:
Facebook: https://www.facebook.com/ramazzotti.eros.official/
Instagram: https://www.instagram.com/ramazzotti_eros
X: https://x.com/RamazzottiEros

🎤 LETRA 🎵Eros Ramazzotti - Cosas De La Vida :

VERSO 1:
Son humanas situaciones, los momentos de los dos
La distancia, las pasiones, encontrar una razón
Hoy, como siempre, estoy pensando en ti
Sí, ya ves...

VERSO 2:
Son humanas condiciones, el sentirse bien o no
Si es de día o es de noche
Si es nostalgia o desamor
Hoy, como siempre, estoy pensando en ti

PRE - CORO:
Como si nuestro tiempo no hubiera pasado ya
Dime dónde estamos, qué podrá pasar
Corazones flechados, pero de cada cual
Esa es la barrera que hay que derribar
Estoy pensando en ti, estoy pensando en mí

CORO:
Son las cosas de la vida
Van unidas siempre así
El esfuerzo y la fatiga
Que supone estar aquí
Hoy miro al cielo, con los pies en el suelo
Porque ser humano es lo que sueño ser
Con mis manos yo lo alcanzaré
Ser humano es lo que quiero ser
Con mis manos yo lo alcanzaré

VERSO 3:
Son las cosas de la vida
Nunca me acostumbraré, no lo haré, no lo haré
Casi siempre es una herida
Que tu corazón no ve, que no ve, que no ve
Hoy, como siempre, solamente pienso en ti

PUENTE:
Esta noche que pasa lenta, rozándome
Trato de afrontarla, aferrarla
Y derrapo en las curvas de tu corazón
Porque quiero provocarla, y que sepas que...
Estoy pensando en ti, estoy pensando en mí
Ya ves... sí, ya ves...

#ErosRamazzotti #CosasDeLaVida #Letra #Lyrics #PopItaliano #LatinPop #BaladasRomanticas #CancionesRomanticas #MusicaItaliana #MundoDembow

📧 E-mail : mundodembow2023@gmail.com

Video ufficiale di “Cosas de la vida” di Eros Ramazzotti
Ascolta Eros Ramazzotti qui: https://SMI.lnk.to/ErosRamazzotti

Guarda altri video di Eros Ramazzotti:
Un’emozione per sempre: https://www.youtube.com/watch?v=iBZaLPEhq04
Quanto amore sei: https://www.youtube.com/watch?v=b617FReb9YI
Un’altra te: https://www.youtube.com/watch?v=R3ihv5ateWw
I belong to you (Il ritmo della passione): https://www.youtube.com/watch?v=KMzBXynXo68

Iscriviti al canale ufficiale di Eros Ramazzotti su YouTube: https://www.youtube.com/channe....l/UC-6TzsYLnG8R-K-r-

Segui Eros Ramazzotti su:
Facebook: https://www.facebook.com/ramazzotti.eros.official
Instagram: https://www.instagram.com/ramazzotti_eros/
Twitter: https://twitter.com/ramazzottieros
Website: https://www.ramazzotti.com/
____
Son las cosas de la vida
Van unidas siempre así
El esfuerzo y la fatiga que supone estar aquí
Hoy miro al cielo, con los pies en el suelo
Porque... ser humano es lo que sueño ser
Con mis manos yo lo alcanzaré
____
#cosasdelavida #erosramazzotti #cantautori

Eros Ramazzotti Sus Mejores Canciones - 30 Grandes Exitos Eros Ramazzotti Emotivo Concierto
------------------------------------------------------------------------
🎶 Bienvenidos a Románticas De Los 90 🎶
Sumérgete en los mejores recuerdos musicales de los años 90, una época dorada del amor y la melodía. Aquí encontrarás las baladas románticas que marcaron corazones, canciones inolvidables que siguen hablando al alma.
🌹 Suscríbete y revive los sentimientos con cada nota.
📻 ¡Gracias por acompañarnos en este viaje musical lleno de nostalgia y emoción!

#Romanticas90 #BaladasRomanticas #MusicaDelRecuerdo

Otra como tu
Cosas de la vida
La cosa mas bella
A medio camino
Cuanto Amor Me Das
Si Bastasen Un Par De Canciones
Estrella gemela.

Video ufficiale di “Fuego en el fuego” di Eros Ramazzotti
Ascolta Eros Ramazzotti qui: https://SMI.lnk.to/ErosRamazzotti

Guarda altri video di Eros Ramazzotti:
Un’emozione per sempre: https://www.youtube.com/watch?v=iBZaLPEhq04
Quanto amore sei: https://www.youtube.com/watch?v=b617FReb9YI
Un’altra te: https://www.youtube.com/watch?v=R3ihv5ateWw
I belong to you (Il ritmo della passione): https://www.youtube.com/watch?v=KMzBXynXo68

Iscriviti al canale ufficiale di Eros Ramazzotti su YouTube: https://www.youtube.com/channe....l/UC-6TzsYLnG8R-K-r-

Segui Eros Ramazzotti su:
Facebook: https://www.facebook.com/ramazzotti.eros.official
Instagram: https://www.instagram.com/ramazzotti_eros/
Twitter: https://twitter.com/ramazzottieros
Website: https://www.ramazzotti.com/
____
Fuego en el fuego, esta pasión, la tuya y la mia
Es casi un juego ya, mezcla de música y fantasía
____
#fuegoenelfuego #erosramazzotti #cantautori