Majority of Management Departments Believe AI Will Not Cause Job Losses

Overview of the AI in Management Department Survey 2026

A recent survey conducted by sooup Consulting, headquartered in Toshima City, Tokyo, has shed light on the evolving relationship between management departments and Artificial Intelligence (AI). Titled the "Management Department Survey 2026", the study aims to gauge the sentiment surrounding AI's impact on employment within management fields. As AI technologies continue to advance rapidly, it's crucial to understand how professionals perceive job security amid these changes.

Key Findings of the Survey

The findings of the survey reveal that a staggering 90% of respondents believe that AI will not result in job losses within management departments. This overwhelming confidence reflects a broader perception that AI will serve more as a tool for augmentation rather than outright replacement. However, the landscape is changing; approximately 80% of participants anticipate that current Software as a Service (SaaS) solutions and internal systems will eventually be replaced by AI solutions, indicating an industry shift towards automation.

Point 1: Job Insecurity and AI

Interestingly, only 3% of respondents expressed anxiety over the potential for AI to eliminate their jobs. This statistic underscores a prevailing belief in many management sectors that AI is unlikely to threaten individual roles. When asked whether they feel concerned about losing their job to AI, the vast majority responded negatively, suggesting that many see AI as enhancing productivity rather than hindering employment.

Point 2: SaaS Solutions Facing Replacement

In another notable finding, 77% of respondents acknowledged that they believe existing SaaS solutions and internal systems could be substituted as AI technology continues to evolve. The vision of a future where traditional SaaS might become obsolete is becoming increasingly credible. This transformation hints at a future where AI becomes the backbone of business operations and efficiency.

Point 3: Preparation for AI Adoption

Regarding preparedness for AI integration, responses were polarized. Many individuals reported feeling adequately prepared for the shift, while others expressed uncertainty. This split reflects the varying levels of readiness across organizations and individuals as they adapt to the rapidly changing technological landscape.

Moreover, with rising inflation impacting businesses worldwide, a staggering 98% of participants indicated that they anticipate economic pressures affecting their company's performance. Concerns about the potential ramifications of geopolitical instability in the Middle East further complicate the economic outlook for businesses.

Insight from the Company President

In the words of Hiroshi Wada, the president of sooup Consulting, this year's theme centers on whether AI could truly render management jobs obsolete. The trend captured from the responses indicates a widespread conviction among management professionals that job loss due to AI is unlikely. Reflecting back on the technological evolution since the 1980s with Office Automation (OA) to the IT standardization of the 2000s, we are now witnessing the advancement of AI-driven processes that continue to reshape operational landscapes.

Despite the tremendous advancements aimed at automating management tasks, the resilience of human intellect in these roles remains evident. The latest findings reveal a compelling narrative about how human intelligence continues to adapt and persevere in the age of AI innovation.

For more in-depth insights, the details of the survey report can be accessed here. Those interested in the specifics of the research are encouraged to reach out to us directly.

About the Survey

Survey Period: March 28, 2026, to April 22, 2026
Method: Online questionnaire
Participants: Employees from management departments of our clientele
Industry Breakdown:

- Services: 21%
- Manufacturing: 31%
- Information and Communications: 13%
- Advertising: 6%
- Wholesale/Retail: 3%
- Real Estate: 3%
- Finance: 9%
- Healthcare, Welfare, and Education: 8%
- Energy: 3%
- Others: 3%