― Understanding “Structure” rather than “Technology”: What is happening now? ―
Generative AI is moving beyond the realm of mere trends or convenient tools and is changing the structure of work processes and decision-making itself. However, information shared in news and social media is often fragmentary, making it difficult to understand exactly what is changing and how.
In this article, without depending on specific product names or services, we will organize the latest trends in Generative AI as “structural changes.” This is a piece to help you understand not just that “a new AI has arrived,” but why it holds significance.
Evolution is Not “Performance Improvement” but a “Change in Roles”
The evolution of Generative AI is not simply about becoming “smarter” or “more accurate.” More importantly, the role AI plays has changed.
Initially, Generative AI focused on “one-off outputs,” such as:
- Generating plausible text
- Answering questions
Currently, it has evolved into something that integrates into the intermediate steps of human work, such as:
- Organizing information
- Summarizing key points from multiple perspectives
- Following human thought processes
Trend 1: What “Multimodality” Truly Means
Recent Generative AI can simultaneously handle multiple formats of information (modalities), including:
- Text
- Images
- Audio
- Spreadsheet data
- Diagrams
Why Multimodality Matters In actual work, information is always mixed: figures are in Excel, backgrounds are in text, situations are explained verbally, and supplements are in images. Multimodal AI is valuable because it handles these without fragmentation as a single context. This means AI has moved closer to the reality of human work.
Trend 2: From “AI that Creates” to “AI that Thinks”
While “Generative AI” suggests an AI that creates text or images, its role as a “thinking assistant” is strengthening. Specifically, it handles the preliminary organizational work humans do before thinking, such as:
- Categorizing information
- Organizing points of contention
- Presenting perspectives that are easily overlooked AI is not replacing decision-making; it is preparing the ground to improve the quality of decision-making.
Trend 3: From “Standalone Use” to “Business Process Integration”
Previously, the main usage was “asking AI when in trouble.” The current mainstream is:
- Embedding AI into the business workflow
- Letting AI handle routine processes
- Allowing humans to concentrate on judgment and exception handling This indicates AI is changing from a “convenient consultant” into part of the business infrastructure.
Trend 4: From AI for Experts to “AI Anyone Can Use”
Another major change is the lowering of required skills for the user. Previously, programming knowledge, technical jargon, and complex settings were necessary. Now, we have entered an era where non-engineers are the protagonists, using:
- Natural language instructions
- Adjustments through trial and error
- No special preparation required
Trend 5: Evaluation Axis Shifting from “Speed” to “Quality”
Initially, AI was evaluated by “how fast” it could work. Now, the quality of output is prioritized:
- Accuracy of judgment
- Clarity of explanation
- Reproducibility and stability This flow shows AI evolving from a “time-saving tool” into a foundation that supports business quality.
Why “Understanding” Generative AI is Crucial Now
If you view Generative AI as a mere fad, it often results in being unable to master it, ending in disappointment. Structural understanding is essential:
- Which processes to entrust to AI?
- Which parts should humans handle?
- What kind of judgment should be supported?
Generative AI is a Technology that Changes the “Way of Thinking about Work”
The true impact of Generative AI is not that a new tool has emerged, but that the way work is decomposed has changed. Task → Organization → Judgment Whether you can adopt the mindset of letting AI handle the “Organization” phase will be the defining difference moving forward.
Summary
- Generative AI is evolving from “AI that creates” to “AI that thinks.”
- Through multimodality, it is approaching the reality of work.
- Integration into business processes is becoming mainstream over standalone use.
- Roles supporting judgment and quality are valued over mere speed.
Service Introduction: Implementing This Trend into Practice
We offer a service that makes it easy to practice the concept of “Generative AI handling thought processes to support human judgment” in daily operations.
By linking Excel and ChatGPT, we expand the scope of automation—which previously relied on manual labor and Macros/VBA—to include statistical processing, analysis, summarization, and visualization.
We transform the latest trends of Generative AI into “practical forms” by automatically generating data shaping, key point extraction, anomaly detection, and analytical comments based on natural language instructions.