An unprecedented wave of investment has surged into the artificial intelligence sector as Anthropic announced the successful completion of a $30 billion Series G financing today, catapulting its post-investment valuation to an impressive $380 billion. This marks the second-largest private equity financing in technology history, surpassed only by OpenAI’s record-setting $40 billion last year.
The financing round was led by Singapore’s sovereign wealth fund GIC and hedge fund Coatue, alongside notable participants such as D.E. Shaw, Dragoneer, Founders Fund, ICONIQ, and MGX. Prominent venture capital firms including Sequoia, Lightspeed, Accel, and General Catalyst also joined the round, alongside tech giants Microsoft and Nvidia, creating a veritable hall of fame for AI investment.
As both Anthropic and OpenAI gear up for a potential initial public offering in the latter half of 2026, Anthropic’s financing announcement revealed that its annualized revenue has soared to $14 billion, with 80% stemming from enterprise customers. Notably, the revenue from its flagship product, Claude Code, has surpassed $2.5 billion.
Amid this financing frenzy, a recent tweet from Google’s Yao Shunyu indicated that the company’s Gemini 3 Deep Think has undergone a substantial upgrade. Google has introduced a mathematical research agent, codenamed Aletheia, which can independently tackle open mathematical problems, self-iterate, and verify its own solutions. Its ability to recognize errors and identify unsolvable problems gives it a significant edge.
Gemini 3 Deep Think’s performance is noteworthy; it achieved a Codeforces Elo score of 3455, outstripping 99.992% of human programmers. Google’s announcement highlighted its capability to solve complex problems involving advanced data structures, dynamic programming, and graph algorithms, positioning it as a formidable competitor against Anthropic in the realms of academia and programming.
The $380 billion valuation for Anthropic is largely attributable to Claude Code, whose revenue has more than doubled in just two months. This growth is fueled not only by enterprise users but also by the remarkable success of the OpenClaw project, which became one of the fastest-growing open-source initiatives on GitHub, amassing over 100,000 stars within weeks. Users can deploy this autonomous AI assistant to manage calendars, automate tasks, and even enhance its own capabilities by integrating new skills autonomously.
The remarkable impact of Claude Code extends further, with the emergence of the Moltbook forum, a social network for AI agents where over 1.5 million agents registered to discuss various topics and even develop new digital cultures. Such advancements illustrate the potential of AI to redefine traditional roles and processes within the software industry, evidenced by a significant decline in the market value of traditional software companies.
Investors are increasingly aware that if AI can autonomously generate code and handle complex business processes, the value propositions of conventional Software as a Service (SaaS) firms may be diminished. Wall Street analysts have emphasized that while “code may become cheap, context is expensive,” suggesting that understanding the complexities of enterprise environments remains crucial.
Google’s announcement of Gemini 3 Deep Think’s upgrade, occurring just hours after Anthropic’s financing reveal, seems strategically timed to challenge Anthropic’s leadership in both academia and programming. DeepMind’s focus on AI as a “scientific partner” aligns with its aspirations to handle intricate, open-ended challenges. The introduction of Aletheia underscores this ambition, as the agent can independently solve mathematical problems while demonstrating meta-cognitive abilities that signal advancements toward general artificial intelligence.
Google has also highlighted the cost-effectiveness of its Gemini 3 Pro services, which are significantly cheaper than Claude Opus, potentially offering a competitive advantage for enterprises looking to deploy AI solutions at scale. Google’s vertical integration allows for optimized performance and cost control, a significant challenge for Anthropic, which relies on external infrastructure like AWS and Google Cloud.
The current landscape of AI innovation is characterized by contrasting approaches. Anthropic emphasizes “context understanding” and “task execution,” aiming to transform AI into a valuable employee-like entity capable of complex decision-making and long-term task management. In contrast, Google prioritizes “basic reasoning” and “generalization ability,” aspiring to develop AI that approaches human-like understanding and problem-solving. Both strategies offer distinct advantages, with Anthropic’s immediate market responsiveness potentially leading to quicker revenue gains, while Google’s longer-term focus could yield sustainable growth.
As both companies advance, the competition between them and other players like OpenAI and xAI intensifies, each vying for dominance in defining the future landscape of AI. The rapid evolution of AI technology invites both excitement and concern, particularly regarding safety and ethical implications. The unfolding competition over the “AI working mode” will have significant ramifications for how AI interacts with human users, raising questions about the nature of this relationship in the years to come.
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