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AI giant Anthropic is strengthening its position as OpenAI's main rival with a massive funding round valued at $20 billion. This historic investment will accelerate the capital race in the sector while financing the company's plans to expand its technological infrastructure and industry influence.

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Navigating the New Era: MicroSD Express Cards for Nintendo Switch 2

New Record in AI Financing: Anthropic Raises $20 Billion

The financial competition in the artificial intelligence (AI) industry is reaching a new peak. Anthropic, regarded as OpenAI's strongest competitor, is in the final stages of closing one of the largest AI funding rounds in history, with a valuation of approximately $20 billion. This massive capital influx is interpreted not merely as a funding news item but as a move that will redefine the power balances in the sector and the future direction of the technological race.

The resources Anthropic will obtain with this funding will be used to accelerate the company's infrastructure investments, research and development activities, and global market expansion. The company, which aims for leadership particularly in the fields of large language models (LLMs) and AI agents, plans to widen the technological and operational gap with its competitors through this investment.

Technological Advancement and Product Developments

Anthropic is reinforcing its funding success with its recent technological breakthroughs. The company's Claude Opus 4.5 model introduced users to "Planning Mode," a revolutionary feature especially in the field of software development. Thanks to this mode, the model creates a detailed plan document before making any code changes, providing developers with a preview opportunity.

Conducted tests revealed that Planning Mode increases coding accuracy by approximately 20%. The accuracy score rises from 3.75 when the mode is not used to 4.5 when the mode is activated. This development is considered a significant step in increasing the reliability of artificial intelligence in complex tasks.

A New Perspective on Agent and Workflow Concepts

In its technical paper titled "Building effective agents," Anthropic clarified two important concepts frequently confused in the industry. According to the company's definition, the systems many organizations are working on should actually be classified as "Workflow" rather than "Agent." This distinction directly affects the design and implementation strategies of AI projects.

Anthropic recommends using the native APIs of large language models (LLMs) directly, instead of relying on complex third-party frameworks for developing workflows. This approach makes systems lighter, faster, and more efficient while simplifying development processes.

Sectoral Deepening and Global Strategy

Anthropic's strategy is not limited to developing general-purpose AI models. The company is deepening its market penetration by developing specialized tools for sectors requiring expertise, such as law. In this context, new AI tools aimed at transforming the legal software industry were announced.

The company's sectoral deepening strategy is built on a systematic infrastructure, such as establishing standards like "Agent Skills" and developing industry plugins, rather than isolated products. This approach shows that Anthropic aims to create a lasting impact in B2B markets.

Geographical Restrictions and Market Dynamics

Anthropic continues to apply certain geographical restrictions within the scope of its global expansion strategy. The company, with its updated terms of service in September 2025, prohibited China-based or China-controlled companies from using its AI services, including Claude Code. This decision parallels the policies of other global players like OpenAI and Google.

These restrictions reflect the fragmented structure of the global AI market and geopolitical tensions in technology supply chains. Anthropic's policy shows that the company prioritizes compliance and security over potential market opportunities.

Industry Impacts and Future Expectations

The $20 billion funding round demonstrates how much capital intensity has increased in the AI industry.

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