Stockmark Formulates New Brand Promise 'AI that Makes Work Fun'
Stockmark Inc. announced its new brand promise, 'AI that Makes Work Fun,' on May 18, 2026. Addressing 'AI fatigue' caused by inefficient implementation, the company aims to redesign work where people can become fully immersed. Based on five elements derived from manufacturing excellence—Safety, Efficiency, Expansion, Innovation, and Co-creation—the company introduced 'AI Code,' five action principles to integrate these values into organizations.
📋 Article Processing Timeline
- 📰 Published: May 18, 2026 at 20:00
- 🔍 Collected: May 18, 2026 at 11:31
- 🤖 AI Analyzed: May 18, 2026 at 11:51 (19 min after Collected)
## Stockmark Formulates New Brand Promise "AI that Makes Work Fun"
Stockmark Inc. (Headquarters: Minato-ku, Tokyo; Representative Director and CEO: Tatsu Hayashi), a developer of proprietary Japanese generative AI infrastructure and provider of generative AI services, announced on May 18, 2026, the formulation of its new brand promise, "AI that Makes Work Fun," for its generative AI offerings.
### Currently, AI is making work "boring"
"AI fatigue" is spreading across many business settings today:
- Humans spend significant time verifying answers generated by AI.
- Hollow, low-quality AI outputs ("workslop") circulate as meeting materials.
- Efficiency has improved, but the sense of accomplishment has decreased.
Implementing AI merely as an add-on to existing tasks may increase speed, but it doesn't make work more enjoyable. Based on our 10-year track record, we have identified the essential value as our direct promise to customers. Our goal is not just the end of efficiency, but the redesign of "work that people can become immersed in."
### What does it mean for "work to be fun"?
The starting point of all business lies in "creation"—the act of generating value. We began by analyzing the passion found in Japan's world-class "monozukuri" (manufacturing). The excitement in successful development projects can be explained by five elements:
- **Safety**: Strong commitment from management and clear quality standards allow for trial and error without fear of failure.
- **Efficiency**: An environment where vast past experimental data and design assets can be retrieved immediately, allowing focus on essential design.
- **Expansion**: As prototyping cycles repeat, individual professional skills and insights become more refined.
- **Innovation**: The start of challenges toward unprecedented features or materials that overturn industry norms.
- **Co-creation**: Wisdom merges across the boundaries of design, production technology, and quality assurance, creating products that exceed expectations.
When these five elements are present—Safety, Efficiency, Expansion, Innovation, and Co-creation—people lose track of time and enter a "flow state." "AI that Makes Work Fun" is the AI that implements these five elements within a company to recover the original joy of work.
### Five Action Principles: "AI Code"
We have defined the following five principles to create a "knowledge circulation infrastructure" that delivers dramatic results beyond simple efficiency:
1. **Safety (AI for Governance)**: "It's okay to do anything." Suppressing information leaks and inaccurate outputs through secure design.
2. **Efficiency (AI for Optimize)**: "Eliminating the tedious." Automating searching, summarizing, and reporting to reclaim time for essential thinking.
3. **Expansion (AI for Externalization)**: "Getting better as you go." Accumulating the tacit knowledge of experts to improve task quality over time.
4. **Innovation (AI for Innovation)**: "The drive to try." Realizing challenges into the unknown alongside AI, empowered by reclaimed time and confidence.
5. **Co-creation (AI for Co-creation)**: "Wanting to work more with colleagues." Individual learning flows back into organizational knowledge (AI Capital), triggering a chain of challenges that transcend individual and departmental silos.
When these five principles circulate, the moments of "immersion where one loses track of time" increase within the organization, translating into significant performance impact.
Stockmark Inc. (Headquarters: Minato-ku, Tokyo; Representative Director and CEO: Tatsu Hayashi), a developer of proprietary Japanese generative AI infrastructure and provider of generative AI services, announced on May 18, 2026, the formulation of its new brand promise, "AI that Makes Work Fun," for its generative AI offerings.
### Currently, AI is making work "boring"
"AI fatigue" is spreading across many business settings today:
- Humans spend significant time verifying answers generated by AI.
- Hollow, low-quality AI outputs ("workslop") circulate as meeting materials.
- Efficiency has improved, but the sense of accomplishment has decreased.
Implementing AI merely as an add-on to existing tasks may increase speed, but it doesn't make work more enjoyable. Based on our 10-year track record, we have identified the essential value as our direct promise to customers. Our goal is not just the end of efficiency, but the redesign of "work that people can become immersed in."
### What does it mean for "work to be fun"?
The starting point of all business lies in "creation"—the act of generating value. We began by analyzing the passion found in Japan's world-class "monozukuri" (manufacturing). The excitement in successful development projects can be explained by five elements:
- **Safety**: Strong commitment from management and clear quality standards allow for trial and error without fear of failure.
- **Efficiency**: An environment where vast past experimental data and design assets can be retrieved immediately, allowing focus on essential design.
- **Expansion**: As prototyping cycles repeat, individual professional skills and insights become more refined.
- **Innovation**: The start of challenges toward unprecedented features or materials that overturn industry norms.
- **Co-creation**: Wisdom merges across the boundaries of design, production technology, and quality assurance, creating products that exceed expectations.
When these five elements are present—Safety, Efficiency, Expansion, Innovation, and Co-creation—people lose track of time and enter a "flow state." "AI that Makes Work Fun" is the AI that implements these five elements within a company to recover the original joy of work.
### Five Action Principles: "AI Code"
We have defined the following five principles to create a "knowledge circulation infrastructure" that delivers dramatic results beyond simple efficiency:
1. **Safety (AI for Governance)**: "It's okay to do anything." Suppressing information leaks and inaccurate outputs through secure design.
2. **Efficiency (AI for Optimize)**: "Eliminating the tedious." Automating searching, summarizing, and reporting to reclaim time for essential thinking.
3. **Expansion (AI for Externalization)**: "Getting better as you go." Accumulating the tacit knowledge of experts to improve task quality over time.
4. **Innovation (AI for Innovation)**: "The drive to try." Realizing challenges into the unknown alongside AI, empowered by reclaimed time and confidence.
5. **Co-creation (AI for Co-creation)**: "Wanting to work more with colleagues." Individual learning flows back into organizational knowledge (AI Capital), triggering a chain of challenges that transcend individual and departmental silos.
When these five principles circulate, the moments of "immersion where one loses track of time" increase within the organization, translating into significant performance impact.
FAQ
What does Stockmark's new promise change?
It aims to transform AI from a simple efficiency tool into a partner that enables people to feel 'joy' and immersion in their work.
Is it only for the manufacturing industry?
While modeled on manufacturing success stories, it targets creating 'moments of passion' in all roles, including planning, sales, and production.
What are the benefits of implementing 'AI Code'?
It ensures information security, reduces wasted time, expands individual skills, fosters organizational innovation, and enables cross-departmental co-creation.