Google value plunges by $500bn as AI fears rattle Wall Street
Alphabet’s AI Spending Sparks a Sharp Market Reversal
Ninoda.com – Alphabet suffered one of the most dramatic market setbacks of the week after investors focused on the growing financial cost of its artificial intelligence strategy and signs that AI is changing the economics of Google Search.
The parent company of Google shed slightly more than $500bn (£374bn) in market value on Thursday. Its valuation dropped from $3.97tn the previous day to $3.46tn by the close, while the share price fell by almost 13% to a six-month low. It was the company’s second-worst daily performance of the year.
Investors were not responding to a collapse in revenue. Alphabet’s quarterly sales rose 25% from a year earlier to $127.6bn, supported by a powerful performance from Google Cloud. Cloud revenue more than doubled, climbing 103% to nearly $31bn.
Instead, Wall Street’s concern centered on a difficult trade-off: funding huge AI infrastructure commitments while protecting the highly profitable businesses that have historically paid for Alphabet’s expansion.
Search advertising faces a changing user experience
Google Search remains the foundation of Alphabet’s business, with ads shown around search results accounting for most of the company’s revenue. But Google now commonly presents AI-generated summaries as the initial response to a query, and the company said that shift affected the volume of advertising it could sell during the quarter.
The development illustrates the challenge facing large technology companies as they redesign established products around generative AI. AI summaries may make searches more direct for users, but they can also alter how people move through results pages and encounter ads.
Tracy Woo, a principal analyst at Forrester, described the results as evidence of the pressure involved in paying for major AI projects without weakening established operations.
“Highlights the challenge of funding massive AI investments while maintaining the strength of established businesses.”
Google chief business officer Phillip Schindler had expressed confidence in the direction of AI-driven search a day earlier.
“Very good about our trajectory.”
Yet investors were more focused on near-term financial effects than on the longer-term promise of the product shift.
Cash flow turns negative as investment accelerates
Alphabet’s profits declined by 25% during the quarter, even as revenue rose strongly. More notably, the company reported negative free cash flow of more than $9bn, only the second time it has recorded a negative figure as a public company.
Free cash flow reflects the funds left after a business covers operating costs and investment. A negative result means Alphabet spent more cash than it generated over the period. The shortfall was nearly double the negative cash flow reported only three months earlier.
The increase in spending was largely tied to Google’s AI push. Building and operating AI systems requires substantial investment in computing capacity, data centers and the infrastructure needed to train and run advanced models. Alphabet chief executive Sundar Pichai has defended the scale of that spending, but the latest figures show why investors are asking how quickly those investments can translate into durable returns.
Amazon Also Faces Questions Over the AI Race
Amazon encountered a similarly skeptical reaction after releasing its own quarterly update. Its shares fell 6% in after-hours trading despite an 11% rise in sales, which reached $201bn.
The company reported negative cash flow of $42bn, a figure that indicated a sharp escalation in investment. The amount was six times greater than the cash outflow shown three months earlier.
Chief executive Andy Jassy argued that Amazon’s spending reflects opportunities large enough to transform the company’s future scale. He said Amazon could be pursuing two businesses that may eventually generate $1tn in revenue, though he did not identify the two specifically.
During discussions with analysts, Jassy repeatedly pointed to the potential of Amazon’s own computer chips and Bedrock, its platform that gives paying customers access to major AI models and related tools. The company is betting that demand for AI services will not be limited to a single provider or a single model.
“One of the lessons we’ve learned over 20-plus years is that there is not one tool to rule the world.”
“People always assume whatever is in the lead early on will be the only thing that people use - it’s never true.”
Jassy acknowledged that it would be easier for investors if the expenditure could be distributed over a much longer period.
“It would be more convenient” if it were spread over the next 25 years.
“That’s not the world we live in. We can fund this plan, and I think it will forever change the size, the revenue, the free cash flow of Amazon.”
Microsoft’s Results Offer a Different Balance
Microsoft’s market reaction was comparatively restrained, with shares slipping by less than 1% on Thursday. The company, one of OpenAI’s largest investors, spent roughly $5bn less on AI-related investment than its peers in the latest period.
It also disclosed plans earlier in the week to eliminate thousands of jobs, a move that will lower costs. At the same time, Microsoft reported quarterly revenue of $92.3bn, up 19% from the previous year. Its cloud division grew 30% to $63bn.
Chief executive Satya Nadella said usage of Copilot, Microsoft’s AI assistant and productivity tool, was increasing. He said automated tasks had nearly doubled since July as daily usage expanded.
The contrasting results from Alphabet, Amazon and Microsoft underline a broader investor concern. The companies remain financially powerful and continue to post substantial revenue growth, especially in cloud computing. But markets are demanding clearer evidence that the exceptional cost of the AI buildout can coexist with growth in advertising, commerce, software and cloud services.
For consumers and businesses, the investment wave is likely to mean more AI features embedded in familiar digital products. For investors, however, the immediate question is simpler: when will those features produce enough new income to justify the cash being committed today?
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