US technology shares fell on 29 October 2026, the Financial Times reported, as earnings from Alphabet and Microsoft brought AI capital spending back into focus. The Nasdaq 100 dropped 1.5%. The issue for enterprise technology teams is the pressure this puts on the economics of cloud and AI infrastructure.
Alphabet drew the sharper reaction
Alphabet bore the worst market response. Its earnings per share of USD 2.12 missed a USD 3.01 consensus, Search and YouTube advertising revenue came in below estimates, and free cash flow was negative by more than USD 9bn. Alphabet said more queries moved to AI mode, raising questions about the effect of AI on its core search business.
At the same time, Google Cloud revenue of USD 30.7bn was up 103% year on year and beat estimates. That contrast matters because investors did not reject cloud growth itself. They questioned whether the spending required to supply AI services is producing returns at the pace expected.
Microsoft showed a different profile
Microsoft's results were read differently. The company beat analyst expectations for earnings per share and revenue, cloud revenue rose 30%, and Azure revenue rose 49%. Free cash flow fell year on year but was above Wall Street estimates; quarterly capital expenditure was USD 45.2bn, below a USD 50bn consensus.
Even with those stronger figures, weakness spread into software and chip names. ServiceNow fell almost 20% after missing earnings-per-share estimates, while Fortinet, Zscaler, CrowdStrike and Palo Alto Networks also declined. Weakness also reached chip stocks, with Nvidia down 1% in premarket trading, Advanced Micro Devices down 3.3% and Intel down 3.6%.
The same concern had appeared earlier in the month. On 23 October, the Nasdaq Composite fell 2.6% as investors reacted to the scale of AI-related spending across large technology companies. Meta had raised its projected capital spending for the year to USD 135bn to USD 145bn, while Amazon, Nvidia, Tesla, Alphabet and Microsoft all closed lower that day.
Macro data added pressure
US inflation and growth data added to the market context. The September Personal Consumption Expenditures price index rose 3.6% on an annual basis and core PCE rose 3.1%, both in line with expectations. The first estimate for third-quarter US GDP showed annualised growth of 3.4%, above expectations of 3.2% and up from 2.2% in the second quarter.
Amazon was due to report after the close on 29 October, giving investors another reading from the three largest cloud providers. Expectations included earnings per share of USD 1.97 and revenue of USD 202.3bn, up 12.3% annually. Amazon had previously said it expected capital spending of USD 220bn this year.
For enterprise buyers, the market reaction is a cost-discipline signal rather than a product announcement. Cloud providers are expanding capacity for AI services, but investors are asking for evidence that cash outflows can turn into revenue and free cash flow. No customer contract changes follow directly from a one-day stock move, but the debate affects how budgets, consumption commitments and capacity assumptions are discussed.
When AI demand leaves cloud providers explaining USD 45.2bn quarterly capital expenditure at Microsoft, negative free cash flow at Alphabet and higher data centre plans across the sector, enterprise teams still have to decide what to run in Azure and how to control unit cost; ECS's Infrastructure topic covers that work across Azure architecture, hybrid cloud, cost and platform engineering. Sessions and workshops give attendees room to compare capacity planning, platform engineering practice and the financial controls used on real cloud estates. Bring workload assumptions, consumption data and procurement constraints to test with practitioners before the next AI infrastructure commitment.
Photo: ajay_suresh, CC BY 2.0, via Wikimedia Commons, cropped
This article was written by the ECS editorial team with the assistance of Amal Agent, run.events' AI assistant, which supported the research, drafting and proofreading.