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.

AI tools are indispensable for improving operational efficiency, enabling data-driven decision-making, and strengthening market competitiveness. For companies that require rapid responses in global markets and highly accurate communication in Japanese business contexts, selecting the right AI tool carries strategic significance.

In today’s business environment, leveraging AI tools has become key to improving operational efficiency, enhancing decision-making, and strengthening competitiveness. Choosing the right AI tool directly translates into cost savings and productivity gains.

This article compares ChatGPT from OpenAI and Perplexity from Perplexity AI, Inc., detailing their features, business applications, and pricing models. By doing so, it provides concrete information to help select the AI tool best suited to your company’s needs. Let us begin by defining ChatGPT and Perplexity.

With the rapid evolution of generative AI, enterprises are accelerating the adoption of AI tools to improve operational efficiency and enhance competitiveness. Microsoft Copilot, built on OpenAI technology and integrated into Microsoft 365 and GitHub, provides intelligent assistance across applications such as Word, Excel, PowerPoint, Outlook, and Teams. By automating tasks such as document drafting, data analysis, and meeting summarization, Copilot helps employees boost productivity and focus on higher-value work.

Artificial intelligence (AI) is a key to strategic operational efficiency and competitiveness for enterprises. In this context, Grok, developed by xAI, has rapidly attracted attention in the enterprise solutions space as a large language model (LLM) equipped with real-time data processing and advanced reasoning capabilities.

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.