Welcome back to the second hour of the Big Money Show. I'm Brian Breber along with my elegant co-host. And with us for the hour, I think [music] he goes in the elegant category, entrepreneur and host, The Fixer, Marcus Lone. It's good to see you, sir. >> Well, President Trump turning his focus to affordability. The White House says Republican policies are working and the proof is in the numbers. >> We have slowed inflation and we are working very hard to bring it down. Chris and I can tell you that the Coun ...

and Megan, uh, even with today's uh, bounce in the, uh, in the indexes, you still have the S&P down 2% on the week, almost 5% off of its highs. Has this pullback um, kind of changed the riskreward in your view or or given a signal as to where to go next within the market. >> Yeah, I think this has been a bit of a healthy development for the market.We've been watching with a bit of trepidation that the market just keeps continuing to climb higher and it's been a pretty significant momentum trade. I think wha ...

Core Insights - Big tech firms are increasingly turning to public debt markets to finance AI-related investments, marking a shift from their traditional reliance on cash [1][14] - The surge in public bond issuance has raised concerns about the market's capacity to absorb this new supply, contributing to a pullback in U.S. stock prices [2][14] - Analysts indicate that while debt levels are rising, major tech companies remain lightly leveraged compared to their earnings [1][11] Debt Issuance Trends - Hyperscaler debt issuance has exceeded $120 billion in 2023, a significant increase from an average of $28 billion over the past five years [3][14] - Major companies involved include Alphabet ($25 billion), Meta ($30 billion), Oracle ($18 billion), and Amazon ($15 billion) [14] - The recent financing activities are seen as necessary to support the capital expenditures required for AI infrastructure [3][14] Market Reactions - Demand for tech bond deals has been strong, but investors are requiring higher premiums to absorb the new securities [8][15] - U.S. investment-grade credit spreads have increased slightly, reflecting concerns over the influx of new bond supply [9][15] - Despite the rise in debt, the overall leverage of these companies is expected to remain below 1x, indicating a manageable debt level relative to earnings [11][15] Future Projections - AI capital expenditure is projected to reach $600 billion by 2027, with net debt issuance expected to hit $100 billion in 2026 [6][14] - Analysts suggest that supply constraints or investor appetite may limit near-term capital expenditures more than cash flow or balance sheet capacity [12][15] - The top hyperscalers are anticipated to maintain a strong cash flow position, allowing them to absorb additional debt safely [12][15]

The Wall Street Journal reported that Elon Musk's xAI was on the verge of a $15 billion investment valuing the start-up at about $230 billion. ...

SFL Corporation Ltd. (NYSE:SFL) is included among the 15 Stocks with Highest Dividend to Invest in. BTIG Raises Price Target on SFL to $11, Reaffirms Buy Rating Image by Steve Buissinne from Pixabay BTIG‌ raised its pric‌e targ⁠et on SFL Corporation Ltd. (NYSE:SFL) to $1‍1 from $10‌ on November 11 a⁠nd re​it⁠erated a Bu‍y rating, according to a report by The Fly. The firm pointed out tha⁠t SFL shares moved higher after the company post‍ed Q3 results, with ad‌justed EBITDA‍ coming in at $113 mi⁠llion, ab ...

Core Viewpoint - Applied Materials anticipates a decline in spending on chipmaking equipment in China by 2026 due to stricter U.S. export controls, although overall revenue is expected to be stronger in the latter half of the year [1] Group 1: Revenue Impact - The company projects a $600 million reduction in fiscal 2026 revenue as a result of expanded U.S. export restrictions affecting shipments to China-based customers [2] - Current-quarter revenue is forecasted at $6.85 billion, with a variance of $500 million, compared to analysts' expectations of $6.76 billion [3] - The suspension of the affiliate rule is expected to enable approximately $600 million in sales for the full fiscal year [4] Group 2: Market Dynamics - Applied Materials' share of sales in China has decreased from nearly 40% to the mid-20% range, with foreign competitors still able to sell to Chinese companies [5] - The company can no longer supply China's memory chip and older-generation chipmaking markets due to tighter U.S. controls, but does not foresee major new shipment restrictions [4] Group 3: Future Outlook - Customers indicate that spending on wafer fab equipment is likely to accelerate starting in the second half of calendar 2026 [6] - The company forecasts a profit per share of $2.18, excluding one-off items, which is higher than the estimated $2.13 [6]

Core Viewpoint - The data center boom is expected to significantly benefit commodities, with a particular focus on natural gas, base metals, precious metals, and crude oil as key areas of growth [1][5]. Commodities Overview - Commodities are seen as the most undervalued assets currently, with a bull market already underway, particularly in gold, which has increased by 54% year-to-date [2][4]. - The investment in AI is perceived as misdirected, with a need for more focus on the raw materials required for data centers, such as metals and gas [3][4]. Specific Commodities - **Natural Gas**: Essential for powering gas turbines in data centers [6]. - **Base Metals**: Includes steel and copper, which are critical for components like gas turbines and the energy grid [6]. - **Precious Metals**: Metals such as gold, silver, and palladium are utilized in data center components [6]. - **Crude Oil**: Provides power to data centers, with no major non-OPEC oil projects expected to start next year, potentially driving prices higher [6].

RT Yishan (@yishan)My AI investment thesis is that every AI application startup is likely to be crushed by rapid expansion of the foundational model providers.App functionality will be added to the foundational models' offerings, because the big players aren't slow incumbents (it is wrong to apply the analogy of "fast startup, slow incumbent" here), they are just big. Far more so than with any other prior new technology, there is a massive and fast-moving wave that obsoletes every new app almost as fast as ...

Seems to be accurateYishan (@yishan):My AI investment thesis is that every AI application startup is likely to be crushed by rapid expansion of the foundational model providers.App functionality will be added to the foundational models' offerings, because the big players aren't slow incumbents (it is wrong to ...

Back time now for Options Corner. Taking a look at Coriva reports earnings after the bell joining us to take a deeper look at the chart. We've got Rick Dukat, lead a market technician.All right, Rick, this has been an a highf flyier this year, but bumpy recently. What trends do you notice. >> Yes.So, this company has been uh uh moving to the upside here for most of the past year, but recently a bit of more of a downswing, but still handily outperforming not only the tech sector, but also the S&P 500 as well ...