Key Takeaways
- Cloud Growth Raises Pressure on Rivals
- Investors Watch Spending Plans Closely
- AI Race Drives Higher Capital Costs
Alphabet’s rising artificial intelligence spending and record quarterly Alphabet cash burn raise investor concerns about Big Tech’s profitability as companies increase investments in AI infrastructure despite growing pressure on cash flow.
Alphabet reported its first quarterly Alphabet cash burn on record after spending heavily on artificial intelligence infrastructure, raising concerns among investors about the rising cost of competing in the AI race.
The Google parent company burned $5.9 billion in cash during the second quarter — a reversal from the growth seen in Alphabet’s first-quarter earnings — even as Google Cloud posted a record 82% growth. Alphabet also increased its 2026 capital spending forecast by $15 billion and said spending is expected to rise again next year.
Cloud growth raises pressure on rivals
Alphabet’s results increase pressure on Microsoft, Amazon and Meta Platforms, all of which are scheduled to report earnings next week. Investors are closely watching whether those companies also increase spending forecasts to expand AI capacity.
Alphabet shares fell about 6% in early trading Thursday. Meta and Amazon shares each dropped about 3.5%, while Microsoft traded little changed.
Analysts said Alphabet’s results suggest spending across the technology sector is likely to continue rising.
“The risk is tilted towards further increases, particularly while Microsoft and others remain capacity-constrained,” said Charu Chanana, chief investment strategist at Saxo Markets.
She said investors will increasingly focus on whether AI-generated revenue can outpace rising capital expenditures, depreciation and operating costs.
Analysts expect Alphabet and Amazon to continue burning cash, extending the Alphabet cash burn trend, in 2026. Meta’s free cash flow is projected to fall 95.7% to $1.85 billion, while Microsoft’s cash generation is expected to decline significantly from the previous fiscal year.
Investors watch spending plans closely
The growing cost of AI infrastructure, exemplified by the Alphabet cash burn, marks a shift for large technology companies that have traditionally relied on strong cash flow to finance expansion.
Industry spending on AI infrastructure is expected to exceed $700 billion this year, according to analyst estimates cited by Reuters. Companies are increasingly relying on debt and share sales as capital spending rises faster than operating cash flow.
Analysts also expect capital expenditures to consume a larger share of company revenue this fiscal year. Alphabet’s capital expenditure-to-revenue ratio, part of the wider Alphabet cash burn picture, is projected to rise to 41%, up from 23% a year earlier. Similar increases are expected at Microsoft, Meta and Amazon.
AI race drives higher capital costs
Alphabet’s strong cloud performance also raises expectations for Amazon Web Services and Microsoft Azure, the two largest cloud computing competitors.
Google Cloud’s rapid growth suggests the company may be gaining market share. Alphabet executives said demand remains strong enough that the company plans to lease additional data center capacity from third parties, even though doing so could reduce profit margins.
“Google Cloud was an absolute blowout,” said Richard Clode, portfolio manager of Janus Henderson Investors’ Global Technology Leaders. He said Alphabet’s competitive advantage extends from its custom AI chips to products used by billions of customers.
Competition in AI infrastructure is expected to intensify further as companies seek additional computing capacity. Reports suggest that Meta is in talks to rent computing power from AI startup Anthropic, joining an increasingly competitive cloud market that also includes providers such as CoreWeave.
“As compute becomes more available and models become cheaper, cloud capacity may look increasingly interchangeable,” said Lale Akoner, global market strategist at eToro. “That could force providers to spend more while accepting lower returns.”
