Executive Summary Investment markets are applying two different standards of evidence to AI. The market has been willing to believe in AI infrastructure because GPUs, data centers, AI servers, optical communications, liquid cooling, power equipment, and supply chain orders can be built, measured, and reflected in financial results. But when the discussion shifts to SaaS and AI applications, the market asks for clearer proof of commercialization, including enterprise willingness to pay, user habits, workflow change,

Key Events of the Week: What Happened From May 3 to May 9, 2026, the most visible change was that model companies continued to need more compute, while their sources of compute became more diversified. The long-term cloud and chip partnership between Anthropic and Google Cloud did not simply reflect the expansion of one company. It showed that model competition is entering a stage that requires more long-term infrastructure support. If model companies want to

Executive Summary For some time, software companies have continued to report solid, and sometimes better than expected, earnings results. Yet the market response has remained relatively cautious. This gap may not reflect a problem with company performance. It may reflect a broader reassessment of software companies in the AI era. In the past, software companies could often earn higher valuations through subscription models and predictable growth. In the AI era, the market is beginning to

Key Events of the Week: What Happened From April 19 to May 2, 2026, the most notable development in the U.S. technology sector was not only that AI investment remained strong. It was that several concrete changes related to AI growth became easier to see. These changes included the shifting relationship between model companies and cloud platforms, the question of whether AI model companies can commercialize fast enough to support high valuations and high capital

Executive Summary Google and Anthropic are not the most obvious rivals, but that is precisely why the comparison is worth paying attention to. Google represents a full platform path, with models, cloud infrastructure, enterprise tools, and global scale, and seeks to absorb AI into its existing platforms and enterprise systems. Anthropic represents a more focused path, seeking to build a long term position across multiple platforms through model capabilities, enterprise trust, and clear positioning. The

Key Events of the Week: What Happened In the second week of April 2026, what stood out most in the U.S. technology sector was not simply the continued flow of AI-related news. It was the way the market began to read several developments together that had previously seemed more separate. These included whether AI infrastructure investment remained strong, whether compute supply was expanding across more routes, whether data center expansion was beginning to run into

AI has forced me to rethink not only how I read companies, but also how I read markets. What began as industry analysis gradually led me back to skills I once used as a financial analyst. This essay is a reflection on why that happened. I never expected that one day I would write an essay like this. For me, industry analysis has always had a certain kind of

Executive Summary The AI compute market is becoming increasingly diverse. Large cloud providers continue to push forward with in-house ASIC and XPU development, and the number of alternatives to NVIDIA keeps growing. In theory, new AI demand should become more evenly distributed across different architectures, rather than continuing to concentrate in the NVIDIA ecosystem. But when several recent signals are viewed together, the key question may not simply be who has compute. It may be

Key Events of the Week: What Happened In the first week of April 2026, the most important thing in the U.S. technology sector was not simply the continued flow of AI related developments. It was that the market began to read several developments together with greater clarity, even though they had initially seemed unrelated. These shifts included the long term buildout of AI infrastructure, cloud platforms responding to questions about investment returns, a redistribution of

Key Events of the Week: What Happened In the fifth week of March 2026, the most notable development in the US technology sector was not that the AI story changed direction. It was that the real world conditions needed to sustain that story became easier to recognize. These conditions include whether products can be used reliably, which platforms can control the point of entry, how companies are refocusing resources, whether infrastructure can support the pace