Big Tech earnings have left investors divided about whether the AI spending boom will actually pay off. Amazon, Microsoft, and Google all reported strong cloud growth, but questions about profitability are piling up. Amazon posted 39% revenue growth in AWS, reaching $46 billion in the third quarter, yet its free cash flow sat at negative $42 billion over the trailing 12 months. The company also did not repeat a one-time gain tied to its Anthropic investment, which weighed on profit. Amazon still plans to spend $220 billion on AI infrastructure this year, and CEO Andy Jassy said AWS could eventually hit a trillion dollars in revenue.
Meta is in a similar position, planning $135 billion to $145 billion in capital expenditures for 2026 while its operating margin dropped from 40% to 20% year over year. The company posted negative free cash flow of $2.1 billion in Q3, even as ad revenue grew 25.9%. Investors are watching new products like Muse Wonder and operating cash flow trends closely. Meanwhile, Google faces a tricky balance: its new AI search features are cutting into ad revenue, but its cloud business is expanding fast on demand for TPU chips.
The market reaction has been sharp. The Nasdaq fell nearly 3%, its steepest drop in four months, as doubts about AI profitability spread. Intel shares plummeted nearly 30% after its revenue outlook missed expectations, wiping out roughly $140 billion in market value. Goldman Sachs warned that higher rates and AI disruption could weaken household demand for equities, noting that households bought $840 billion in equities in the first half of 2026 and directly own 42% of the US market. The wealthiest 10% hold 87% of household equity assets.
On the ground, some AI applications are still hitting rough edges. Upstart uses AI voice agents to handle about 10% of loan applicants that its system cannot auto-decide, but the agents struggle with tricky questions about medical use, travel purpose, or graduation details. The company now monitors live calls and re-simulates failures to improve performance. Separately, the Binance bitcoin heist raised new concerns about AI's role in cybersecurity, as experts question whether AI tools helped execute the highly coordinated attack that froze about $3 billion in assets. BigBear.ai, on the other hand, lifted its full-year revenue guidance to $150 million to $165 million despite a Q3 net loss of $91.85 million, citing confidence in demand for its AI-driven decision intelligence products.
Key Takeaways
- Amazon plans $220 billion in AI spending this year while AWS grew 39% to $46 billion in Q3, though free cash flow remained negative at $42 billion over the trailing 12 months.
- Meta is budgeting $135 billion to $145 billion in capital expenditures for 2026, with its operating margin halving from 40% to 20% and Q3 free cash flow at negative $2.1 billion.
- The Nasdaq dropped nearly 3% amid AI profit doubts, and Intel shares fell nearly 30% after missing revenue guidance, wiping out about $140 billion in market cap.
- Goldman Sachs warns that higher interest rates and AI disruption could weaken equity demand, with households directly owning 42% of the US equity market.
- Google's new AI search features are reducing ad revenue even as its cloud business grows on TPU chip demand, creating a mixed earnings picture.
- Amazon's profit dropped because it did not repeat a one-time gain from its Anthropic investment, raising questions about core versus investment-driven earnings.
- Upstart's AI voice agents fail on complex borrower questions about medical use or travel purpose, forcing the company to monitor live calls and re-simulate failures.
- The Binance heist, which froze about $3 billion in assets, raises concerns about AI's potential role in cybersecurity attacks and insurance risks.
- BigBear.ai raised its full-year 2026 revenue guidance to $150 million to $165 million despite a Q3 net loss of $91.85 million, including a $76.74 million goodwill impairment.
- The US approved a new AI data center on a 200-acre rural site using renewable energy, expected to finish by 2026 despite local opposition.
Amazon plans heavier AI spending as AWS growth accelerates
Amazon plans to spend more on AI next year after keeping its 2026 capital spending forecast at $220 billion. AWS reported 39% revenue growth to $46 billion in the third quarter. The company posted negative free cash flow of $42 billion over the trailing 12 months. CEO Andy Jassy said AWS could reach a trillion dollars in revenue within five to 10 years.
Amazon maintains $220 billion AI spending plan despite cash flow concerns
Amazon is on track to spend $220 billion on AI infrastructure this year. The company reported negative free cash flow for the trailing 12 months due to heavy investments. AWS grew revenue 39% to $46 billion, beating analyst estimates. Amazon stock fell 1.41% and trades at 30x forward earnings estimates.
3 metrics to track Meta Platforms AI spending returns
Meta Platforms plans $135 billion to $145 billion in capital expenditures for 2026. Its operating margin dropped to 20% from 40% a year ago, and the company posted negative free cash flow of $2.1 billion in Q3. Ad revenue grew 25.9% year over year. Investors should also watch new products like Muse Wonder and operating cash flow trends closely.
Cheap money shortage emerges as new AI build-out bottleneck
Lenders and investors are demanding tougher terms for AI projects as the balance of power shifts. Concerns include political backlash against data centers, worries about AI-related profits, and overexposure from a flood of stock and bond offerings. Companies had previously raised hundreds of billions of dollars with ease from Wall Street.
Wall Street drops most in four months on AI profit doubts
The Nasdaq fell nearly 3 percent, its steepest drop in four months, amid growing skepticism about AI profitability. Intel shares plummeted nearly 30 percent after its revenue outlook missed expectations, wiping out about $140 billion in market capitalization. Investors worry that big tech companies are spending over 100 percent of earnings on AI investments. Concerns also grew about AI companies borrowing money they may struggle to repay.
US approves AI data center despite local opposition
The US government approved a new data center on a 200-acre rural site despite local pushback. The center will use renewable energy and support AI research and development. It is expected to finish by 2026. Residents worry about environmental and economic effects. The project is part of the Biden administration's push to expand AI in government.
Voice agents fail when borrowers ask tricky questions
Upstart auto-decides about 90% of loan applicants, but the remaining 10% must verify details by phone with an AI voice agent. Simple questions like medical use or travel purpose can trap the agent because it cannot ask for amounts or clarify whose graduation it is. Borrowers asking for status updates also cause problems. The company now monitors live calls and re-simulates failures to improve the system.
Goldman Sachs warns rates and AI threaten equity demand
Goldman Sachs says higher interest rates and AI disruption could weaken household demand for US equities. Households bought $840 billion in equities in the first half of 2026. They directly own 42% of the US equity market. The wealthiest 10% hold 87% of household equity assets. Goldman's baseline outlook for 2027 stays supportive, assuming a stable labor market.
Binance bitcoin heist raises questions about AI role
A major heist hit cryptocurrency firm Binance, with about $3 billion frozen but part of its balance sheet possibly lost forever. The attack was described as highly coordinated and complex. Binance says it will cover losses and work with law enforcement. Experts are now asking how much AI played a role in the hack. The incident raises concerns about AI-powered hacking and insurance risks.
BigBear.ai lifts revenue guidance despite Q3 loss
BigBear.ai reported Q3 2026 sales of $43.58 million and a net loss of $91.85 million. The loss included a $76.74 million goodwill impairment. Management raised full year 2026 revenue guidance to $150 million to $165 million. The company says the higher guidance reflects confidence in demand for its AI driven decision intelligence products.
Big Tech Earnings Show Mixed AI Results
Recent earnings reports from major tech companies have caused uncertainty in the stock market. Google faces a challenge because its new AI search features are reducing ad revenue, yet its cloud business is growing fast thanks to demand for TPU chips. Microsoft and Amazon saw strong cloud growth, but Amazon's profit dropped because it did not repeat a one-time gain from its Anthropic investment. Investors are now checking if these companies are making money from their core businesses or just from private investments in AI labs. While some tech firms spent heavily on AI infrastructure, experts warn that a drop in demand could hurt them if they built too much supply. Overall, tech stocks are under pressure as Wall Street weighs the risks and rewards of the current AI boom.
Sources
- Amazon Plans to Spend More on AI. Here’s Why the Stock is a Once-in-a-Decade Buy Hiding in Plain Sight.
- Amazon Plans to Spend More on AI. Here’s Why the Stock is a Once-in-a-Decade Buy Hiding in Plain Sight.
- 3 Numbers to Watch to Know if Meta Platforms' AI Spending Is Paying Off
- The New Bottleneck in America’s AI Build-Out: A Shortage of Cheap Money
- Wall Street Plunges Amid AI Profit Doubts, Marking Largest Drop in Four Months
- Local pushback mounts, but AI buildout surges on
- One Wrong Question Breaks the Voice Agent
- GS flags interest rates and AI disruption as risks to long-term equity demand
- The biggest question about Binance bitcoin heist: How much AI was involved?
- How Raised Revenue Guidance At BigBear.ai Stock Has Changed Its Investment Story
- The AI trade's trick-or-treat earnings season
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