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Google announced Gemini 4 Carbon, describing it as its strongest model for cybersecurity and long-horizon agent work. It launches with the same introductory pricing as Gemini 4 Argon at $2 per million input tokens and $10 per million output tokens. Access will begin with a limited subset of cyber defenders under a gradual rollout via its Fairwind Program before wider availability to developers, businesses, and consumers.
Amazon issued revised software engineering guidelines warning that simply using more AI doesn’t always improve work quality. It said token and lines-of-code counting are “deeply flawed,” and turning token metrics into targets can increase costs and complexity. As a result, engineers are told to document when AI tooling doesn’t help, while managers compare 10th- and 90th-percentile AI users to decide if outputs are improving.
Google Cloud revenue rose to 30.7 billion dollars in Alphabet’s third quarter, but Alphabet’s shares fell after-hours by more than 11% despite the cloud result. Revenue was 31.0 billion dollars year-over-year and free cash flow stayed negative at -9.1 billion dollars as investors focused on broader business weakness and deep spending for AI. Alphabet is increasing capital spending toward 200 billion dollars in 2026 and is facing investor pressure over cash-flow strain rather than cloud demand.
Microsoft reported strong Azure growth alongside continued high spending to scale its AI services. CapEx spending is expected to reach about $170 billion in calendar-year 2026, with more than $50 billion in the current quarter. As a result, investors get further evidence of demand exceeding supply, while Microsoft’s higher capex and slightly lower operating margins signal tighter pressure on near-term profitability.
Microsoft reported profit of more than $36.6bn for the three months to the end of September, shortly after announcing layoffs of more than a quarter of its workforce. It said it will offer voluntary buyouts to around 60,000 workers. The result is further cost-cutting alongside continued billions in AI infrastructure spending, with investors watching whether that spending is sustainable.
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