Meta's $10B Bet on Anthropic: Can It Outpace AWS and Google Cloud? - 18 July 2026

On this day, major developments in the AI and tech sectors reveal significant shifts in strategy and competition. Some highlights from the news indicate that Meta Platforms is in discussions to secure a partnership with Anthropic, potentially worth up to 10 billion dollars in AI computing capacity over two years. This move could position Meta as a serious competitor to established cloud service providers like AWS, Google Cloud, and Microsoft Azure. Additionally, Meta is bolstering its AI infrastructure aspirations by recruiting Dave Brown, a long-serving executive from Amazon Web Services, signaling a robust investment in building its AI cloud business. Turning to market updates, investors are shifting their attention toward the forthcoming earnings reports from Alphabet and Intel, keen to assess the durability of AI investment spending. This scrutiny arises amidst a backdrop of declining semiconductor stock prices, particularly among AI-related chip suppliers, as market participants reevaluate the valuations after a period of substantial gains. The market remains sensitive to any signs indicating that major cloud providers might curb their capital outlays for AI infrastructure. In global scenarios, Google has reportedly postponed the release of its Gemini 3.5 Pro, focusing on enhancing its coding capabilities and long-range reasoning. This delay reflects the challenges faced in the AI industry as companies strive to meet stringent internal quality standards for advanced AI models. Meanwhile, OpenAI is contending with a legal challenge from Apple regarding trade secrets, maintaining a strong denial of the allegations as the case progresses. Additionally, OpenAI is making strides in the hardware domain with plans for a screenless speaker powered by ChatGPT, marking a significant development in their product offerings. From the international front, Miles Wang, an OpenAI researcher, aims to establish a new AI drug-discovery startup valued at around 2 billion dollars, highlighting the ongoing interest in AI solutions within biotechnology. Meanwhile, the competitive landscape intensifies with Chinese startup Moonshot AI showcasing advancements in its Kimi K3 model, emphasizing the rapid evolution of AI capabilities in China and the resultant pressure on U.S. entities. Ultimately, the defining theme of the day is clear: success in the AI arena is increasingly reliant on robust infrastructure, resource allocation, and talent acquisition—far beyond the mere quality of algorithms. Learn more about your ad choices. Visit megaphone.fm/adchoices