Microsoft's carbon emissions rise 25% in 2025, hitting 34 million metric tons
Microsoft's 2026 sustainability report reveals that its carbon emissions increased by 25% in 2025, totaling 34 million metric tons without select interventions. The company continues to struggle with meeting its climate goals, partly due to the energy demands of AI.
Entities
Related
Big Tech emissions rise 19% in a year, driven by datacenter construction for AI
Microsoft, Amazon, and Google's collective carbon emissions reached 119 million metric tonnes in FY ending March 2026, a nearly 20% increase from the prior year, driven by datacenter construction for AI. The three companies still aim for net zero despite the rise.
Microsoft lays off 4,800 employees as new fiscal year begins
Microsoft is laying off approximately 4,800 employees, or 2.1% of its workforce, as it enters its new fiscal year. The cuts primarily affect the commercial sales and Xbox divisions, continuing a trend of restructuring that saw 9,100 jobs cut a year earlier. The company cited changing technology industry demands.
CTOs share playbooks for governing LLM cost and usage in production
Engineering leaders discuss strategies for managing LLM costs and usage as AI features scale from prototype to production. A key challenge is that user-facing workflows often trigger multiple LLM calls, making costs non-obvious during MVP stages.
2026 survey finds enterprise AI agent pilot-to-production rates as low as 5%
A 2026 survey of enterprise AI agent deployments found that only 5% to 23% of pilots reach production, with the model itself rarely being the cause of failure. The findings highlight persistent challenges in operationalizing AI agents beyond proof-of-concept stages.
Authors of 'AI 2027' release new scenarios and predictions in 'AI 2040'
The authors of the influential 'AI 2027' report have published a new set of scenarios, predictions, and recommendations titled 'AI 2040'. The document is available at ai-2040.com and has been widely discussed on Hacker News and Reddit, indicating significant community interest in long-term AI forecasting.
