Nvidia (NVDA) shares have pulled back rather significantly in the build-up to the company’s third-quarter (Q3) earnings scheduled for Wednesday, Nov. 19. Consensus is for the artificial intelligence (AI) behemoth to earn $1.18 a share in Q3, which would translate to a little over 51% growth on a year-over-year basis. More News from Barchart Despite recent weakness, however, Nvidia stock remains up roughly 100% versus its year-to-date low. www.barchart.com Where Options Data Suggests Nvidia Stock Is He ...

Stocks are modestly higher after a rally Tuesday that lacked breadth. Gold and silver are bouncing after a big multi-day selloff, while crude oil, Treasuries, and the dollar are mostly flat ahead of a key policy meeting in Washington. To get more articles and chart analysis from MoneyShow, subscribe to our Top Pros’ Top Picks newsletter here.) Yes, the stock market rallied yesterday...but it was one of the narrowest advances in ages. While the S&P 500 Index (^SPX) rallied 0.2%, the net advance/decline re ...

Core Viewpoint - The current AI capital expenditure (capex) landscape is characterized by circular funding among major companies, raising concerns about sustainability and profitability, reminiscent of past market bubbles [4][10][30]. Group 1: Circular Funding Dynamics - Major companies like AMD, Nvidia, and Oracle are engaging in circular funding, where investments are recycled among themselves, creating an illusion of unprecedented investment scale [4][7]. - This circular funding model has historical parallels, such as Cisco's vendor financing during the dot-com bubble, which ultimately led to significant market failures [4][34]. - Critics argue that the current AI funding model may not be sustainable, as many companies involved lack sufficient cash flow to support their capex commitments [11][13]. Group 2: Profitability Concerns - The majority of profits in the AI sector are currently concentrated among suppliers of AI infrastructure, such as Nvidia and Broadcom, rather than the AI companies themselves [19][30]. - Despite significant investments, AI companies have yet to generate substantial revenues, leading to skepticism about their long-term profitability [30][32]. - The high capital intensity of AI investments, combined with unclear timelines for returns, raises further doubts about the sustainability of current valuations [31][32]. Group 3: Competitive Landscape - The AI industry faces high supplier negotiating power and increasing competition, which could negatively impact profit margins [23][29]. - New entrants and substantial investments from various platforms are likely to intensify rivalry, further challenging the profitability of existing players [24][30]. - The potential for substitution among AI services remains uncertain, but it could affect buyer power and pricing dynamics in the future [25][26]. Group 4: Investment Implications - Companies in the AI sector must identify viable revenue streams to justify their massive capital expenditures, or they may face declining revenues [33]. - The stock market may struggle to sustain high valuations for AI companies, leading to potential deflation of market caps across the sector [33]. - The current investment climate, driven by high-risk funding sources, suggests that the AI bubble may be nearing its peak, with implications for broader market stability [32][33].