The Significant Gap in AI Utilization Across Job Types Revealed by Ragate's Survey

Ragate Inc. recently conducted a thorough survey involving 505 business professionals from the Information Systems and DX Promotion departments, shedding light on the disparities in AI utilization across different job types. The survey found that 45.2% of employees in technical roles actively use generative AI, while only 22.8% in administrative roles reported similar usage rates. This significant gap underscores the need for strategic support to ensure equitable AI adoption across organizations.

Survey Highlights

1. Disparity in AI Utilization Rates

The results of the survey were striking. Among the respondents, 45.2% belonged to technical positions, compared to just 22.8% in administrative roles, with other roles making up the remaining 12.5% and executives 8.3%. This composition highlights a bias towards technical roles and signifies the importance of targeted support for administrative departments to achieve pan-organizational AI adoption.

2. Dominance of Technical Roles in AI Application

The technical professions show a clear dominance when it comes to leveraging generative AI, especially evident in system development applications, which ranked highest at 37.4%, following information retrieval and research at 39.2%. Tools geared towards developers, like GitHub Copilot (11.1%) and Cursor (6.3%), further illustrate this trend, indicating that nearly 19% of developers are utilizing AI-powered tools, with approximately 40% of technical professionals engaged in AI-driven development.

3. Progress in Administrative Applications

Despite the broader gap, administrative roles are increasingly integrating AI into their workflows. Content creation (30.9%), meeting minutes generation (28.1%), and internal inquiry responses (26.5%) have seen significant AI adoption. To address the inter-job type disparity, Ragate suggests three effective strategies:
1. Development of Job-Specific Use Case Collections: Curating specific use cases for roles such as HR, finance, and administration helps reduce barriers to AI adoption.
2. Implementation of No-Code AI Tools: Tools like Dify, which currently have a 5.5% adoption rate, can facilitate programming-free AI engagement.
3. Promotion of Cross-Departmental Teams: Establishing teams with representatives from various departments can ensure that administrative needs are addressed while promoting AI utilization.

Ragate’s Insight and Future Outlook

The data from the survey starkly illustrates the disparity in AI adoption between technical and administrative roles, with 45.2% for technical and just 22.8% for administrative roles. However, the potential for equalizing this gap exists, given that administrative roles show around 30% utilization rates. With 58% of respondents aged between 30 and 40, the risk of career inequality stemming from a lack of AI skills is a concern. The imperative for generative AI skills as essential to organizational competitiveness is clear.

Ragate is committed to supporting organizations in building a culture of AI utilization, leveraging the combined expertise of MBA holders and AWS certified professionals to enable all employees to harness AI effectively.

Services for Tackling Inter-Job Type Disparities

Ragate Inc. offers various support services aimed at facilitating comprehensive AI adoption across the organizational spectrum.

- AX Implementation Support and Dify Development Services: Our experts conduct value chain analyses to pinpoint AI application opportunities specific to various departments, thus ensuring widespread AI transformation across the company. Additionally, we assist in establishing no-code development environments through Dify, empowering administrative departments to spearhead AI initiatives.

- Generative AI Practical Courses and Reskilling Programs: For raising AI literacy among all employees, we offer intensive one-day courses that enhance practical skills. These programs leverage job-specific use cases, ensuring immediate applicability in daily tasks.

Organizations frequently reflect on how technical departments excel in AI usage while administrative units lag behind, or how to promote company-wide AI adoption by identifying needs specific to each job type. Should these challenges resonate, we invite you to reach out to us for support.