
Nvidia’s upcoming report (NASDAQ:NVDA) lands this month as investors weigh a surge in AI spending and a stretched calendar of market events. The timing matters: short-term trading hinges on earnings and a government shutdown that has entered its fifth week, while longer-term concerns center on whether heavy capital expenditures will be financed from cash or debt. Globally, demand for AI infrastructure is driving capex in the US, Europe and Asia. Historically, tech capex rarely climbed this fast; Bank of America now estimates AI investment will approach 94% of operating cash flow through 2026 versus 76% in 2024.
Five of the so-called Magnificent Seven reported this cycle. All but Meta (NASDAQ:META) posted positive stock reactions, and Amazon (NASDAQ:AMZN) traded at a record high after results. Those moves underline the market’s debate: how much return can the biggest companies extract from the biggest corporate bet in modern memory?
Company results are providing clearer cases for AI spending. Alphabet (NASDAQ:GOOGL) and Meta outlined AI-driven ad revenue gains. Microsoft (NASDAQ:MSFT) highlighted strong demand for cloud AI tools, even as it reported a $4 billion quarterly loss tied to its share of OpenAI’s losses. Apple (NASDAQ:AAPL) teased an AI-enabled Siri for 2026 while posting robust hardware sales. These updates are pushing boards and CFOs to decide how fast to build capacity.
Bank of America’s projection that AI capex will climb to 94% of operating cash flow (minus dividends and buybacks) through 2026 is striking. That figure jumped from 76% in 2024. Because the ratio is still below 100%, many firms can fund spending without issuing debt right now, but the margin is narrowing. Companies that want to accelerate faster may turn to capital markets. That partly explains the burst of borrowing in September and October led by Oracle (NYSE:ORCL) and Meta (NASDAQ:META).
Investors are watching how individual firms balance growth and returns. Meta’s capex-to-revenue ratio stands among the lowest of its peers. After a public run of “efficiency” messaging in 2023, some shareholders reacted negatively to renewed spending. Gil Luria of D.A. Davidson suggested investors see Meta’s management as treating shareholder capital cautiously; CEO Mark Zuckerberg argues the AI stakes justify the ramp.
There is a core risk to the current trajectory. Building data-center and chip capacity is expensive. If demand overshoots expectations, firms can pause projects. However, if companies increasingly finance buildouts with debt and demand lags, the situation could stress balance sheets at scale. Evan Schlossman of SuRo Capital points to shortfalls in supply versus demand for AI infrastructure as the immediate driver of rising spending. The larger question is how many data centers and chips the market ultimately needs. An overbuild would hit returns.
OpenAI has become a focal point on earnings calls. The name appeared 31 times on major corporate transcripts so far this cycle in an AlphaSense analysis. That level of mention reflects OpenAI’s central role in the AI ecosystem and in corporate strategies. The company partners with a roster of public firms, including Microsoft (NASDAQ:MSFT), Nvidia (NASDAQ:NVDA), Oracle (NYSE:ORCL), Broadcom (NASDAQ:AVGO) and AMD (NASDAQ:AMD), and it works with specialist providers such as CoreWeave.
Those partnerships can create both collaboration and competition. OpenAI is vertically integrating — developing chips and data-center capacity — and it acquired Jony Ive’s hardware venture, io, to build AI-native consumer devices. Those moves position OpenAI as a platform that could capture value across hardware, cloud and services.
Market reactions to OpenAI announcements have been dramatic. Public filings and deal news tied to OpenAI have lifted shares of Nvidia, Oracle, Broadcom and AMD; FactSet and The Wall Street Journal calculated a combined market-value jump near $630 billion on single trading days after certain reveals. Mentions of OpenAI on Microsoft’s recent call rose sharply—19 references versus three in July—because Microsoft disclosed a $4 billion loss tied to its investment and partnership with OpenAI.
OpenAI’s path to public markets is now part of the conversation. Reuters has reported IPO planning that could imply a $1 trillion valuation. That valuation is large relative to the company’s trailing revenue and losses—OpenAI is on track for about $13 billion in revenue this year while recording nearly $20 billion of losses, according to public reporting and analyst commentary. Sam Altman’s stated plan to spend at scale on chips and data centers means public capital markets could be in play to support growth.
Corporate behavior beyond AI spending is affecting market sentiment as well. Several firms announced stock splits during the earnings season. ServiceNow (NYSE:NOW) announced a 5-for-1 split and Netflix (NASDAQ:NFLX) disclosed a 10-for-1 split. Both stocks rallied after the announcements. Economists and strategists note that splits do not change fundamentals—the total value of the company remains the same—but they can change investor psychology. Lower per-share prices can entice more retail participation, even though fractional shares already allow small-dollar exposure.
The result is that mechanically neutral actions can produce rallies. Stephen Dover of Franklin Templeton framed it wryly: slicing a stock doesn’t change the tomato, but market behavior often treats the halves differently. This psychological response is part of why splits can boost volumes and near-term price momentum.
Putting it together, this earnings cycle has given the market a clearer view of how the largest firms are betting on AI and how capital allocation is changing. Demand for AI infrastructure is strong now. In the short term, earnings and corporate updates will drive trading and volatility. The looming report from Nvidia (NASDAQ:NVDA) and the continued stream of deal and partnership announcements tied to OpenAI keep attention high.
Over the longer term, the crucial questions are about returns on these investments and funding sources. If firms can fund a majority of capex from operations, the risk is contained. If not, debt issuance and capital-market activity will rise. Company-specific outcomes will matter: some firms may scale back if demand softens, while others may continue to build. That divergence will shape which stocks outperform on a fundamental basis rather than on narrative momentum.
For market participants, the message is straightforward: earnings season is clarifying where pockets of demand exist and where managements are willing to deploy capital. The combination of record-high stock moves, large capex commitments, heavy partnership activity and potential IPOs creates a volatile backdrop. However, the core drivers are concrete — infrastructure shortfalls, vertical integration, and the trade-offs between spending and shareholder returns — and those drivers will continue to dominate conversations as reports, deals and split announcements roll through the calendar.
If you follow corporate earnings this month, watch how companies quantify AI-driven revenue, the pace of capex increases relative to cash flow, and any decisions to tap debt markets. Those disclosures will tell investors whether current spending feels like a timed surge to meet unmet demand or a longer-term structural bet that will reshape capital allocation for years to come.








