Generative AI has become a core driver of operational efficiency and innovation in enterprises. Among these models, Claude — the large language model (LLM) developed by Anthropic — has attracted attention for prioritizing safety and human-centered design. Its unique approach, Constitutional AI, aims to produce ethically guided and more transparent responses.

On August 7, 2025, OpenAI announced GPT-5, the latest and most capable model in its ChatGPT product line. Positioned as a major leap over GPT-4o and other predecessors, GPT-5 delivers state-of-the-art performance across coding, mathematics, writing, health, and multimodal reasoning.

In today’s digital society, high-quality images are indispensable—from Instagram posts to web banners, game characters, and advertising posters. However, traditional production required specialized skills and significant costs, creating major barriers. This is where “Image Generation AI” comes into the spotlight. By simply entering text or a simple prompt, users can instantly generate professional-level visuals. For example, marketers can create advertising materials in seconds, and artists can easily experiment with new styles.

Artificial intelligence (AI) continues to evolve to meet a wide range of modern-day needs—workflow automation, data analysis, customer support, and more. Among the newest entrants, Claude, developed by Anthropic, has attracted attention as a large-language model (LLM) that prioritizes safety and ethics through a unique “Constitutional AI” approach. Competing with ChatGPT and Gemini, Claude positions itself as a highly trustworthy option for enterprises and researchers alike.

Artificial Intelligence (AI) is revolutionizing the software development landscape, and GitHub Copilot, a collaboration between GitHub, OpenAI, and Microsoft, is at the forefront of this change. More than just a code completion tool, Copilot has evolved into a full-fledged development assistant offering code generation, review support, and learning assistance.

The evolution of AI technology has reached a critical point for IT decision-makers in Japanese enterprises. According to the "DX Trends 2024" by Japan's Information-technology Promotion Agency (IPA), only 19.2% of Japanese companies report having implemented generative AI, a rate that remains virtually unchanged from 2022. In contrast, adoption in the U.S. stands at 40.4%, revealing a significant gap. Barriers include cost, implementation complexity, and legal compliance.