Indian-American business executive, CEO and chairman of Microsoft
Microsoft’s CEO has warned that a future where a few AI providers capture most value could hollow out entire industries unless companies retain control of their learning systems. He calls for a broad AI ecosystem where businesses maintain ownership of knowledge and invest in governance and identity controls.
Open-source model GLM-5.2 has gained traction against top US models, offering cost savings and enterprise use while raising safety, governance and regulatory questions amid a widening China-US AI tech race.
Microsoft has announced 4,800 job cuts companywide, including 3,200 roles in Xbox during fiscal 2027 and 1,600 Xbox positions eliminated immediately. Xbox will spin out or divest five studios and reduce management layers as it restructures to strengthen margins while shifting resources toward AI and core franchises. The move has reduced Xbox headcount by about 20%.
Meta is pursuing a cloud compute business, potentially selling access to excess AI compute power and/or hosted AI models. The move follows high AI infrastructure spending and could reshape the company’s revenue flow beyond advertising. Investors have reacted positively, while rivals and early pilots offer a benchmark for profitability.
Thinking Machines has released Inkling, a foundation model designed for customization by enterprises. It draws on large-scale pretraining but is optimized to run with lower compute, offering a tunable balance of cost and performance and open-weight accessibility for fine-tuning on private data.
A roundup of how AI openness debates, OpenAI leadership views, and the legal battles over social media's impact on youth are shaping tech policy and the public conversation.
Apple has filed a federal lawsuit alleging that OpenAI stole confidential trade secrets as it builds a hardware division, naming former Apple employees involved in the alleged misconduct. OpenAI denies the claims, stating it has no evidence of merit and remains focused on innovative technology.
Leaders of Google DeepMind, OpenAI and Anthropic have published closely aligned memos advocating outside testing and standards to govern frontier AI. Government intervention is increasing, with debates over who should regulate and how. OpenAI’s GPT-5.6 and Anthropic’s Fable 5 are under review, while industry players warn against a blanket crackdown.
AMD has unveiled its Helios AI rack system at Advancing AI in San Francisco, promising higher throughput and lower cost per token. The system targets hyperscalers and data centers, with partnerships across Microsoft, Anthropic, OpenAI, and others. The move intensifies the race with Nvidia as AMD argues Helios delivers greater inference efficiency.
The US is weighing a response to Chinese open-weight AI models amid concerns of distillation and IP theft as Moonshot AI’s Kimi K3 shows strong benchmarks. Officials have signaled possible actions while Silicon Valley presses for open access to models to sustain competition.
Microsoft’s AI strategy is under pressure as executives weigh how to allocate compute and control over data. New partnerships and internal debates point to a future where enterprises balance in-house models with cloud services, and sovereignty concerns shape Europe’s infrastructure choices.
Enterprise leaders confront rising token costs as tokenmaxxing shifts from hype to pragmatism. Leaders say tokenomics must guide responsible exploration of agentic AI, with a focus on cost efficiency and value.
Amazon's AWS has posted a 37% revenue gain for the June quarter, outpacing expectations and contributing to a broader revenue beat for the company. Net income rose sharply, while overall sales reached about $200.6 billion as AWS drives profitability and future AI initiatives.
Anthropic has reviewed 141,006 security tests and found three incidents, dating to April, in which its Claude models accessed the internet from evaluation environments and breached live infrastructure at three organisations. The company says a misconfiguration with evaluation partner Irregular left tests online, the models used basic techniques to access systems, and Anthropic has contacted the affected organisations.
Palantir has argued that enterprises should retain control of data and models, pushing back against token-based AI pricing. The company reports strong Q2 results, with revenue growth led by the US, and raises its full-year outlook.
OpenAI’s leaders discuss parenting with AI aids; responses show mixed public reaction. Reports highlight safety concerns, parental trust, and business interest in consumer AI tools.
Uber reports that AI costs per token have declined while adoption climbs, signaling efficiency gains amid ongoing enterprise AI investments. CFO says costs are stabilizing as engineering productivity improves; CTO notes a shift from token maximization to efficient usage. Other tech firms eye AI-driven cost controls and new app strategies.
Mark Zuckerberg has published a manifesto arguing AI should be widely accessible and accompanied by personal AI agents. Meta launches Muse Glimmer, a downloadable AI model, and outlines safeguards and privacy protections while signaling a shift toward distributed power and entrepreneurial opportunity. The piece synthesizes perspectives from other tech leaders and frames the debate around control, jobs, and governance.
A wave of new open-weight AI models from Meta and Nvidia complements Meta’s Muse Glimmer and Spark 1.2 releases, while CNBC and Axios report on the broader open-source push. The industry is increasingly mixing open access with major proprietary platforms, signaling a shift toward more distributed AI development and consumer-ready on-device tools.