Artificial Intelligence (AI) has been part of our working lives for years, but its role is changing fast. No longer confined to chatbots or recommendation engines, AI is evolving into agentic systems—autonomous digital assistants capable of making decisions, coordinating tasks, and learning from experience.
In Fujitsu’s Technology and Service Vision 2025 (FT&SV 2025), this transformation is captured through a near-future story of Lee and his AI assistant Nova at the fictional company Biomaterial. The narrative illustrates how AI could shift from being a mere tool to becoming what Fujitsu calls “Another Me”—a trusted partner in daily work.
OUTLINE OF THE ARTICLE
ToggleAs Hiroshi Nishikawa, Senior Director of Technology Marketing Strategy at Fujitsu, puts it:
“AI remains a tool we use — but it’s becoming a far more powerful and accessible one. In FT&SV 2025, we imagine a society where AI becomes more than just a tool — it’s a trusted partner, almost like ‘Another Me.’”

A Glimpse Into the Future Workplace
The Story of Lee and Nova
Lee is managing a project to develop new biomaterials for clothing. His AI assistant Nova supports him with tasks ranging from patent research to document preparation. The collaboration is seamless: Lee brings human creativity and judgment, while Nova handles repetitive tasks, organizes information, and provides insights drawn from vast datasets.
This dynamic illustrates Fujitsu’s vision for agentic AI: a partnership where humans focus on creativity and strategy while AI manages execution and analysis.

Fujitsu’s AI Agents in Action
Fujitsu has already introduced experimental AI agents designed to operate autonomously in specialized contexts:
- Meeting Support Agent: Suggests relevant information in real time during discussions.
- Legal Support Agent: Analyzes contracts, builds knowledge databases, and flags potential risks.
Nishikawa emphasizes that very few AI systems can currently operate without human prompts. However, he predicts that soon, AI agents will assess information independently, provide proactive suggestions, and even collaborate with other AIs.
This vision points toward a future where workflows extend beyond human-AI cooperation into AI-to-AI collaboration—creating an ecosystem where multiple intelligent systems coordinate to achieve shared goals.

Balancing Optimism With Real Risks
Fujitsu acknowledges that the rapid evolution of AI is not without downsides. In a 2025 survey of 800 business executives in 15 countries, conducted with Frost & Sullivan, executives voiced strong concerns:
- 68% fear AI-generated misinformation will worsen social divisions.
- 69% worry about increased electricity use from large-scale AI adoption.
The International Energy Agency (IEA) estimates that if AI were fully integrated into global search engines, annual electricity consumption could rise by 10 terawatt-hours (TWh). For context, one ChatGPT request consumes around 2.9 Wh, compared to 0.3 Wh for a standard Google search.
These numbers highlight a paradox: AI can make businesses more efficient, but if energy demands skyrocket, sustainability goals could be undermined.

Turning Risks Into Opportunities
Nishikawa stresses that these risks are not roadblocks but challenges to innovate around:
- Energy-efficient hardware: Fujitsu is investing in low-power CPUs and GPUs.
- Sustainable AI practices: Reducing the carbon footprint of training and deploying models.
- Transparency in AI governance: Addressing misinformation and bias through better oversight.
“Developing high-performance, low-power consumption products will become even more important,” Nishikawa notes.
For businesses, this means that adopting AI isn’t just about productivity gains. It’s about ensuring responsible innovation that builds trust and aligns with environmental, social, and governance (ESG) priorities.

Building Collaborative Ecosystems
The future Lee and Nova inhabit is not about isolated AI assistants. It’s about ecosystem-level collaboration, where AI agents connect industries and stakeholders.
For example, in Biomaterial’s biomass clothing project, AI agents enable farmers, logistics providers, energy companies, and research institutions to share data and insights. This interconnected network reduces inefficiencies, accelerates innovation, and creates closed-loop, sustainable systems.
The implication is profound: AI agents won’t just transform single companies—they could become the connective tissue of entire industries.

What Businesses Can Learn
1. Humans + AI = Hybrid Value
AI will not replace people wholesale. Instead, it will shift roles from execution to oversight, freeing humans to focus on creativity, strategy, and empathy.
2. Governance Is Non-Negotiable
Misinformation, bias, and energy use must be addressed through regulation, governance frameworks, and AI ethics policies.
3. Start With Practical Applications
The most immediate value will come from operational AI in IT, legal, and compliance workflows. From there, businesses can scale AI into customer-facing roles.
4. Build Trust Through Transparency
Communicating openly about both AI’s benefits and its risks—just as Fujitsu has done—helps employees, customers, and investors embrace the technology with confidence.

Southeast Asia and Global Implications
In regions like Southeast Asia, where digital economies are growing rapidly, agentic AI could provide solutions for scaling industries without proportional increases in labor or cost. For example:
- Healthcare: AI agents assisting doctors with patient data triage.
- Agriculture: Autonomous monitoring of crop cycles and logistics.
- Education: Personalized AI tutors assisting overburdened schools.
But the same region faces unique risks: higher vulnerability to misinformation, limited regulatory frameworks, and uneven access to energy-efficient technology. Balancing adoption with oversight will be especially critical here.

Fujitsu’s Core Message: Technology for a Net Positive Future
At the heart of FT&SV 2025 is Fujitsu’s Net Positive vision—using technology not only to avoid harm but to actively improve society and the environment.
Through Lee and Nova’s story, Fujitsu communicates a simple but powerful message: AI can help humanity tackle challenges from climate change to productivity, but only if we approach it with trust, governance, and collaboration.
Nishikawa summarizes:
“We hope FT&SV 2025 will inspire people to take action toward achieving their company’s purpose and goals.”

Conclusion: From “Another Tool” to “Another Me”
The age of AI agents is dawning. While today’s systems are still limited, the trajectory is clear: from manual to autonomous, from isolated to interconnected.
Fujitsu’s Technology Vision underscores both the promise and the peril of this evolution. If businesses embrace AI responsibly—prioritizing governance, sustainability, and human-AI collaboration—the future workplace will be more creative, resilient, and connected than ever before.
The question is not whether AI agents will reshape how we work, but how responsibly and inclusively we build the systems that guide them.
SEO Takeaway: Companies exploring AI adoption should focus on agentic AI, but success depends on balancing autonomy with oversight, investing in low-energy technology, and building ecosystems of trust and collaboration.
























