"Over the past year, tech companies invested hundreds of billions in the new data centers needed to power rapidly increasing demand for the technology. The investment is motivated in part by confidence that major AI labs such as those at OpenAI, Anthropic, and Google will continue to wring more intelligence out of their models."
"Anthropic says that 70% to 90% of its new code is now written by its breakthrough coding agent, Claude Code. In just six months, Claude Code became a moneymaker, reaching a $1 billion revenue run rate."
"Google's Gemini 3 family of models smoked competing LLMs on a number of industry benchmark tests, putting other AI labs on alert. The Gemini 3 models became the engine for many Google services, such as AI search and ads."
"Other AI companies are specializing, honing their models for narrower use cases and skill sets. Hume AI, for example, has focused on emotional intelligence; its newest models are surprisingly good at both listening for a wide range of emotions in the human voice."
Tech companies have invested hundreds of billions in new data centers to support the increasing demand for AI technology. Confidence in AI labs like OpenAI and Google has grown, as the strategy of supersizing models continues to yield significant advancements. Anthropic's Claude Code, which automates code generation, has rapidly become a profitable product. Google's Gemini 3 models have outperformed competitors, enhancing its services and cloud business. Other companies are focusing on specialized models for specific applications, such as emotional intelligence and unique world understanding.
Read at Fast Company
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