Google lays off staff in Cloud division, including Threat Intelligence Group and Mandiant, citing redirection of resources towards AI, amid broader Big Tech layoffs.
Google DeepMind CEO Demis Hassabis argues that AI productivity gains should lead to more innovation, not job cuts. He calls layoff logic 'dumb' and suggests some executives hype displacement for ulterior motives.
Google DeepMind CEO Demis Hassabis believes AI models like Gemini 3.5 Flash will boost developer productivity rather than eliminate jobs. He suggests fears of AI replacing programmers stem from a lack of imagination and potentially ulterior motives, emphasizing AI's potential to enable more ambitious projects.
Google encourages database engineers to use AI coding tools for open source projects like PostgreSQL, but the engineer who commits the code remains fully accountable for its quality and content, according to VP Sailesh Krishnamurthy.
Google encourages database engineers to use AI coding tools heavily for open source projects like PostgreSQL, but the engineer who commits the code remains accountable. VP Sailesh Krishnamurthy stated this policy maintains productivity gains while ensuring code quality and engineer responsibility.
Salesforce will stop hiring software engineers in 2025, anticipating a 30%+ productivity boost from AI tools. CEO Marc Benioff projects hundreds of millions in AI token spending, shifting focus from team expansion to AI investment.
Microsoft announced its largest enterprise Copilot 365 deal, rolling out the AI assistant to 743,000 Accenture employees. The $30-per-month-per-user deal targets the 3% of Microsoft's 450 million 365 enterprise users who currently pay for the service. A self-reported survey shows 97% of 200,000 users reported completing routine tasks up to 15 times faster, while 53% reported major productivity gains. Microsoft CEO Satya Nadella said Copilot weekly engagement now matches Outlook usage, and customers with over 50,000 seats have quadrupled year-over-year.
This opinion piece examines the legal implications of agentic AI systems like OpenClaw, released in late-2025. The author, writing from a legal perspective, poses three key questions: why society uses anthropomorphic language like "agent" for AI, whether current law supports this description, and if not, whether it should. The piece argues that AI maps well to the human concept of an agent because it acts on behalf of a principal while preserving autonomy and discretion.
