When asked, “Q1. What is your company’s usage of AI agents in your business?” (n=220), 20.0% responded “At the stage of obtaining related information (with or without plans to introduce)” and 23.6% responded “Considering introduction (considering future use but have not yet introduced it).” Of those who have already introduced AI agents, 20.0% responded “Introducing on a trial basis (undergoing trials and proof testing in some departments and operations),” 15.0% responded “Introducing and utilizing them (however not yet actually implemented),” and 15.9% responded “Already in active use (as an established part of the business).”

To those who responded that they are considering or have considered introducing AI agents in Q1, we asked, “Q2. What is the purpose of introducing AI agents to your company? (Multiple answers allowed)” (n=169). 54.4% responded “Cost reduction (to reduce labor and operating costs),” 47.9% responded “Improved accuracy of operations (reduce human errors and improve accuracy and quality),” and 42.0% responded “Automation and streamlining of operations (automate routine and simple tasks).”

AI agents are used in “Documentation and report writing” and “Data entry and review” situations

To those who responded that they are considering or have already introduced AI agents in Q1, we asked, “Q3. In what situations do you use (or consider using) AI agents? (Multiple answers allowed)” (n=164). 53.0% responded “Documentation and report writing (Minute taking, summarizing, translating, and automatic recording),” 50.0% responded “Data entry and review (accounting tasks, invoice processing, and input error detection),” and 43.3% responded “Customer support (chatbots and automated response for inquiries).”

To those who responded that they have introduced AI agents in some form in Q1, we asked, “Q4. What effects have you seen from the introduction and use of AI agents? (Multiple answers allowed)” (n=112). 53.6% responded “Reduction in labor and operation costs,” 45.5% responded “Optimized resource allocation by improving operational efficiency,” and 42.9% responded “Fewer human errors and improved accuracy of operations.”

To those who responded that they have introduced AI agents in some form in Q1, we asked, “Q5. What changes have you seen in your work style since the introduction of AI agents?” (n=112). 38.4% responded “Very positive change” and 52.7% responded “Somewhat positive change.”

The most common change in work style was that “AI collaboration skills are now required”

To those who responded “Very positive change” and “Somewhat positive change” in Q5, we asked, “Q6. What positive changes have you seen in people’s work styles resulting from the introduction of AI agents? (Multiple answers allowed)” (n=102). 52.0% responded “AI collaboration skills (utilization and management of AI) are now required” and 45.1% responded “New work skills are now required.”

To those who responded that they have introduced AI agents in some form in Q1, we asked, “Q7. How much has the human resource shortage been resolved after the introduction of the AI agents?” (n=112). 23.2% responded “Significantly resolved” and 55.3% responded “Somewhat resolved.”

To those who responded that they are considering or have already introduced AI agents in Q1, we asked, “Q8. As a result of the introduction of AI agents, how do you plan to change (or consider changing) your future recruiting and human resource strategies? (Multiple answers allowed)” (n=164). 53.0% responded “Change in recruitment targets (e.g., setting skill requirements based on the use of AI),” 51.2% responded “Creation of new specialized positions or jobs (e.g., AI application promotion),” and 48.8% responded ”Retraining or skill shift of existing employees.”

The emergence of generative AI has further accelerated the DX of companies, increasing expectations for AI agents to solve human resource shortages and improve work efficiency. This survey revealed through specific evidence that the introduction of AI agents has actually contributed to addressing human resource shortages and transforming their work practices.

Introduction of AI agents not only increases the need of AI utilization skills. We also see signs of change in human resource development policies, corporate human resource strategies, and organizational structures, implying the shift to an era in which AI collaborative skills are required.

As we anticipate the arrival of the AGI (Artificial General Intelligence) era, AI agents are poised to become central to the future of work, as they have the potential to exceed human intellectual capabilities, and their emergence represents a paradigm shift that will fundamentally reshape corporate management, work styles, and value creation. The key to sustainable growth will be our ability to coexist with AGI and how to effectively integrate its capabilities into business operations and organizational structures. Sustainable growth will be directly achieved through business design and human resource strategies developed in collaboration with AI.

The development of work environments and operational structures that leverage generative AI and AI agents is increasingly crucial for companies, as well as cultivating human resources capable of effectively utilizing these technologies. For individuals, future career success will depend on acquiring the necessary skills and knowledge to collaborate effectively with AI in value creation.

Based on the concept of “No More Tools, Work with Buddy,” AI inside advocates a next-generation work style where AI acts as a collaborative “Buddy” rather than a mere instrument. As a core product of this concept, “DX Suite” is evolving from an AI-OCR-driven business automation tool to an AI agent capable of comprehending user workflows and autonomously performing tasks. *1

Through such evolution, we will continue to support true transformation of companies toward the realization of “value shift,” in which time and funds created by streamlining and automating operations are used to shift to and invest in higher value-added operations. AI inside is committed to fostering future work styles where humans and AI collaborate as we move towards the AGI era.

*1 AI inside Loads “DX Suite” With an AI Agent, Realizing the “Work With Buddy” Concept

Survey overview

Conditions of use of this survey data

AI inside is a tech company that conducts R&D and social implementation of generative AI, LLM, and autonomous AI. We have internally developed “PolySphere-2,” an LLM specialized for Japanese document processing, and we are building an AI infrastructure to enable the use of generative AI specialized for the organizations and operations of each company through the “Customized SLM” that is trained by company-owned data. We also develop and provide the generative AI agent “Heylix,” “DX Suite,” which utilizes AI-OCR to structure unstructured data in forms, and the supporting AI infrastructures “AnyData” and “AI inside Cube,” which have been used by approximately 3,000 companies and 60,000 users, including government agencies, local governments, and private companies.
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