Recent artificial intelligence moves by major tech companies

Major technology vendors are accelerating artificial intelligence investments across chips, cloud infrastructure, data centers, and software tools, while regulators in Europe scrutinize platform behavior around chatbot access.

Major technology providers are intensifying artificial intelligence investments across hardware, cloud platforms, and data centers, while regulators in Europe apply greater scrutiny to platform practices. Nvidia and Meta have agreed to a wide ranging new artificial intelligence chip deal that builds on their existing collaboration, signaling deeper alignment between a leading chip designer and a major social media and metaverse company. In parallel, the European Union has warned Meta not to block rival artificial intelligence bots from WhatsApp, and Meta responded that the European Union should not intervene and that consumers have many other options for third party chatbots.

Chip and infrastructure investment continues to surge as new artificial intelligence workloads drive demand for specialized hardware and cloud capacity. Nvidia is investing $2B in CoreWeave and expanding the partnership to secure more infrastructure for graphics processing unit intensive applications, while also backing QuEra in an expanded $230M financing round that underscores interest in quantum computing. Nvidia and Deutsche Telekom launched a $1.2B artificial intelligence cloud and Nvidia and Nscale plan to invest about $13B and deploy graphics processing units in the United Kingdom, reflecting a broader push to build regional cloud and supercomputing capabilities. Google plans to invest $15B in an India artificial intelligence hub, is leading a $6.4B investment in Germany anchored by a new artificial intelligence data center, and is also investing billions in a new West Memphis data center campus.

Cloud vendors and software providers are rolling out new artificial intelligence platforms, agents, and tools targeted at enterprises. Microsoft is focusing on better inference efficiency with its Maia 200 chip, aims for artificial intelligence personal computers, and continues evolving Copilot with more humanlike tools. Google Cloud unveiled Gemini Enterprise and released Jules Tools as an agentic command line interface, while Google introduced Nano Banana Pro to improve enterprise image generation and expanded its artificial intelligence partnership with Anthropic. Amazon Web Services launched Frontier Agents, simplified agent building with model customization, and stepped up its artificial intelligence game at Re:Invent 2025 while targeting artificial intelligence maturity in the Nova Forge release. IBM is pursuing an artificial intelligence play by acquiring data streaming provider Confluent, unveiling agent tools and an artificial intelligence chip alongside an alliance with Anthropic, and Meta has signed deals with nuclear energy companies to support its growing infrastructure footprint.

New foundation models, generative services, and regional initiatives are emerging in parallel. Cohere launched a tiny multilingual open weight model, Anthropic introduced Sonnet 4.6, and the Latam GPT open source artificial intelligence model is tailored for Latin America. Mistral is advancing a European vision with $1.4B for a Swedish artificial intelligence data center, while major funding deals are kicking off the India artificial intelligence impact summit. Google disclosed the environmental impact of the Gemini model family and faces a lawsuit from the parent of Rolling Stone in an artificial intelligence copyright fight, highlighting mounting ethical, regulatory, and sustainability questions. Across industries, companies such as Waymo, Dassault Systèmes, and Intel are reshaping sectors from robotaxis to industrial design and chip leadership, while debates continue over whether the rapid expansion of artificial intelligence represents a bubble or a long term boom.

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How external vendors really work and how artificial intelligence agents will change them

External service providers prioritize their own long term relationships and knowledge over any single client, and the rise of artificial intelligence agents will intensify that dynamic while automating much of their work. Leaders who learn how these vendors think and operate, and how they use artificial intelligence, will gain a lasting strategic edge.

Meta signs multiyear Nvidia deal to build massive Artificial Intelligence infrastructure

Meta has agreed a multiyear deal to buy millions of Nvidia Artificial Intelligence chips and Arm-based CPUs as it races to build what it describes as the world’s largest Artificial Intelligence infrastructure. The partnership strengthens Nvidia’s grip on the data center market while Meta scales data centers like its planned Hyperion site in Louisiana.

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