The Arrival of the Multi-AI Era and the Productivity Revolution Brought by Physical AI [Practical Guide]｜gakky

267_2026/9/29_Generative AI Frontier: The Forefront of Evolution

Today’s Headlines

• A comprehensive renewal of “Generative AI Training” is underway, moving away from the sole dominance of ChatGPT to combining Gemini, Claude, Copilot, and AI agents.

• Beyond simple comparisons of “intelligence,” the mainstream approach has become using AI selectively based on purpose, such as for writing, Google integration, programming, and automation.

• With the evolution of robot control through technologies like OpenAI’s “GPT-6 Astra,” generative AI is rapidly expanding beyond digital spaces into the realm of “Physical AI.”

Summary

As of 2026, the utilization phase of generative AI is reaching a major turning point. We have shifted from an era of learning “how to operate ChatGPT” to an era of “entrusting” tasks to multiple models—ChatGPT, Gemini, Claude, and Copilot—based on their respective strengths. In training programs and business tools, the concept of “AI agents,” where AIs collaborate to autonomously complete tasks, is becoming standard. Furthermore, the latest AI models have evolved beyond generating digital text and code into “Physical AI” that moves robots in the real world. This article unravels the forefront of this explosively evolving generative AI and explains in an easy-to-understand way how we should leverage it to improve our daily business and personal productivity.

Article

1. From “Using” to “Entrusting” Generative AI: The Full Picture of the Four Major AIs (ChatGPT, Gemini, Claude, Copilot) and an Introduction to AI Agents

News Overview

Corporate training curricula and reskilling courses are undergoing a major overhaul, moving away from traditional structures centered on basic ChatGPT operations or the use of a single tool. The new curriculum covers major generative AI tools including ChatGPT, Gemini, Claude, and Copilot, spanning from basic operations to practical business applications. Furthermore, it has evolved from a “using” phase, where humans give instructions and wait for results, to a structure that incorporates an “Introduction to AI Agents,” where AI autonomously executes a series of tasks (Reference Article[1], Reference Article[3], Reference Article[4]).

Perspective on “Evolution”

For non-engineer business professionals, this news signifies a paradigm shift: “You no longer need to worry about which AI to use, or rather, selective use based on purpose has become essential.” Previously, “how to input prompts into ChatGPT” was a valued skill, but we have now entered the era of “AI agents,” where AI thinks for itself toward a goal and executes processes across multiple tools and data. For example, daily information gathering, routine data organization, and drafting project proposals can now be completed by AIs collaborating autonomously without detailed human instructions. For individual business professionals, this changes the meaning from “delegating tasks” to “acquiring a high-level right-hand assistant,” and for organizations as a whole, it brings fundamental automation and efficiency to business processes. Even without deep programming knowledge, a society has arrived where anyone can benefit from advanced automation if they understand the mechanisms of AI agents and the characteristics of each tool.

Practical Tips

First, try using different AIs for different purposes, rather than just the single generative AI you currently use: Claude for writing, Gemini for daily Google service integration, and ChatGPT or Copilot for comprehensive research.

2. The Answer to “Which One Should I Pay For?”: Multi-AI Utilization Techniques and How to Choose the Right Tool for the Job in 2026

News Overview

As generative AI becomes widespread, many users face the question, “Which AI service should I actually pay for?” In the 2026 AI market, it has become difficult to choose based on a single specification standard of “which is the smartest.” While Claude boasts overwhelming ease of use for writing and reading long documents, Gemini is often overwhelmingly convenient when using various Google services for daily work, pointing to the fact that their respective strengths are clearly divided (Reference Article[2]).

Perspective on “Evolution”

This situation is similar to the process we once went through when choosing PC operating systems or office software, thinking about “which software best fits my work style.” Because the speed of AI evolution is so fast, searching for the “single strongest one” has little meaning. What is important for business professionals and individuals is to re-examine their daily workflows and determine “which AI’s characteristics best match which task.” For example, a flexible approach is required, such as using Claude for creative writing or brainstorming, and choosing Gemini when you want to seamlessly link data with Gmail or Google Docs. By having a multi-AI perspective that does not rely on a single tool, daily work efficiency can be dramatically improved, making it possible to maximize the unique strengths of each AI.

Practical Tips

First, identify the tasks in your daily work that take the most time (such as writing, information searching, or data organization), try out the optimal AI tool for each purpose one by one, and create your own rules for how to use them.

3. Generative AI leaps out of the digital world! The future changed by “GPT-6 Astra” and Physical AI

News Summary

In the field of generative AI, which has centered on software and digital space processing, “Physical AI”—which operates robots in the real world—is rapidly gaining presence, triggered by the emergence of models like OpenAI’s latest “GPT-6 Astra.” Following the spread of LLMs (Large Language Models), RAG, and AI agents, it is beginning to have an impact on software engineering and the entire industrial world as the next major wave, entering an era where AI directly fuses with hardware that has a physical body, rather than just text or digital data (see article[5], see article[10]).

Perspective on “Evolution”

The term “Physical AI” may sound technical and difficult, but it has an immeasurable impact that will fundamentally change our lives and ways of working, even for non-engineers and general business professionals. Until now, generative AI has been an “intellectual assistant” that creates text, images, and code on a screen. However, by connecting it to physical robots and devices, it becomes possible for AI to perceive real-world spaces, move limbs to perform tasks just like a human, and autonomously control hardware on-site. In manufacturing, logistics, medicine, and even our familiar living spaces, a future where AI crosses the boundary between digital and physical to directly support or perform “physical labor and tasks” has become a reality. This will not only help resolve labor shortages and automate dangerous tasks, but also allow humans to focus on more creative and strategic decision-making. The evolution of AI is no longer confined to the screen; it has entered a phase of transforming the real world itself.

Practical Tips

First, catch up on the trend that AI evolution is reaching not only the digital space but also the realms of real objects, services, and robotics, and try to imagine the future from the perspective of “what would happen if physical tasks and work sites were linked with AI” in your own industry and job.

Today’s Summary and Next Steps

Today, we looked at three important trends in generative AI: the “shift from using to delegating,” the “appropriate use of multi-AI,” and the “expansion from digital to physical (the real world).” AI is evolving from a mere convenient chat tool into a powerful partner that autonomously supports our entire business and even moves the real world.

Next steps to take starting tomorrow: First, look back at the tasks you perform daily, list just one task that you can delegate to an AI agent or tool, and start by actually trying it out. By incorporating the multi-AI perspective, your productivity is sure to evolve to the next stage.

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