Successful companies stop reactively observing disruption and proactively focus on business models and activities for a more diverse, multipolar world. They leverage emerging technology trends to update platforms and create agile supply chains. Additionally, they succeed in reskilling their people, adding intelligence to their products, and operating in localized environments that are closer to their customers.
This necessary transformation cannot be postponed. Especially now that the United States is looking more within its own borders, new investments and supply chains require a local focus combined with competitive technology.
According to Dr. Martin Schulz, Chief Economist at Fujitsu Limited, the following ten technology trends will help companies benefit from the Agentic AI boom:
Developments in small AI models and specialized AI agents are emerging due to their ability to support companies with process transformation and planning. As production and services come closer to customers in different regions, flexible automation in smaller-scale activities becomes necessary. Large AI models serve as blueprints for domain-specific models that often perform better in specific tasks than their 'teachers'.
Fujitsu Takane technology develops successful models that run at the edge and provide high energy efficiency and accuracy.
Flattening organizational structures is vital for localizing activities and making hybrid teams that are active both online and offline more efficient, especially in preparation for AI integration. We will see a stronger adoption of AI assistants and the development of AI agents for workflows and communication on large platforms. Successful implementation depends on empowering employees in their operational roles and valuing increasingly diverse, AI-driven workforces.
Fujitsu helps design AI-driven solutions for the workplace for digital colleagues and copilots. These should assist in decision-making and streamline employee tasks that consist of multiple steps.
Physical AI is being utilized through the development of Agentic AI and small AI models that can work at the edge in robotics and automation. While autonomous vehicles and robots receive the most attention, the real impetus lies in connecting existing Internet of Things (IoT) sensor devices with the orchestration of specialized robots in all shapes and sizes. Intelligent machines that can sense and act in dynamic environments are already working today in restaurants or warehouses and inspecting critical infrastructure. Training otherwise specialized robots in diverse environments is now greatly expanding their usability in manufacturing, logistics, and healthcare at the local level.
Fujitsu is a leader in industrial AI capabilities and has integrated these with GenAI potential on its Kozuchi AI platform. Additionally, new initiatives in physical AI are being explored through partnerships with partner companies.
Cybersecurity is becoming increasingly important as the use of AI analytics for detecting and exploiting vulnerabilities is gaining traction in local cyberattacks. The attention that recent ransomware attacks have received by disrupting production and national security is a significant wake-up call. Companies recognize this new level of vulnerability, and governments are striving for proactive protective measures and stricter regulations. A strong focus on proactive AI-driven trust and digital sovereignty technologies will help companies not only stay safe but also prepare for new legislation.
Fujitsu seizes this opportunity to develop multi-AI-agent security technology with partners and collaborate with governments to address national security challenges.
Data sovereignty and federated clouds stimulate alternatives to public clouds and American hyperscalers. International data space projects where public and private sectors collaborate, such as Gaia-X and Catena-X in the European Union (EU) and Data-EX and Ouranos in Japan, have made slow progress so far. The new urgency to share a broader range of data about supply chains in hybrid cloud environments, combined with government investments in national security, will lead to a wave of experimentation. Both in Europe, which pursues data sovereignty, and in Asia, where supply chains are diversifying and both China-related and non-China-related data layers need to be integrated.
Fujitsu plays a key role in supporting initiatives in both Europe and Asia, with its Track and Trust technologies for partners.
Dual-use national security technologies open new markets. Strengthening national defense has become crucial for all major countries. This has lowered the barriers for military use of private technology. Smart technology (from autonomous drones to AI vision analysis) is transforming the defense sector. At the same time, public investments are creating new opportunities in defense research and development, including cybersecurity, earth intelligence (geospatial analysis), robotics, and autonomous systems.
Fujitsu applies its extensive experience in digital integration for national security agencies to various technologies in Japan, Australia, the United Kingdom, and globally.
High-performance computing (HPC) and quantum computing will increasingly converge and deliver tangible results faster. HPC-based error correction is increasingly integrating unstable physical qubits into reliable logical qubits. HPC-driven quantum simulation provides a crucial link to experiments, with a growing number of quantum solutions for complex business challenges, including optimization and materials research. At the same time, AI accelerates the development of quantum systems and the demand for complex data models.
Fujitsu has created a platform for hybrid quantum computing and is developing technology that automatically optimizes the best distribution of workloads for customers, based on parameters such as computation time, accuracy, and cost.
Concerns about a new 'ESG' (Energy, Security, Growth) form a new approach to energy security and sustainability. The original ESG principles (Environment, Social, Governance) remain important and relevant, and energy and efficiency strategies play a larger role in achieving environmental goals. Looking ahead, security will play a larger role within social corporate goals. Growth strategies will focus on AI-related technology investments, which require a stronger focus on governance.
Also read: Tech trends in 2026: digital trust, quantum computing, and agentic AI
Fujitsu's ESG management platform continuously integrates these business needs for efficiency, safety, and impact.
Enterprise blockchains are finally emerging from the 'valley of disillusionment'. Driven by the rise of cryptocurrencies and stablecoins, and supported by major banks, enterprise payment functions can be streamlined and prepared for AI-based "machine customers." Enterprise blockchains will enable much lower transaction costs and support payments via tokens and smart contracts. This lays the foundation for process innovation and greater autonomy in AI agent transactions.
Fujitsu consistently supports blockchain technology through the Track and Trust platform and collaborates with partners to co-design solutions.
Also read: Dutch SMEs lead in AI adoption in Europe – but rapid growth increases the risk of uncontrolled use
The "New Silver Economy" creates new growth opportunities in challenging environments with a sluggish domestic economy. Instead of just increasing the demand from older consumers, AI-driven capabilities must keep motivated people active longer. AI agents are being developed to preserve deep domain knowledge from senior employees. These agents communicate in natural language with continuously updated systems and enhance the skills of senior employees with on-demand guidance. Seamlessly connecting experienced staff with a shrinking number of junior employees via AI communication platforms becomes crucial to increase productivity on both sides.
Fujitsu has been at the forefront of work transformation and digital productivity through the Work Life Shift initiative for years.
Conclusion: 2026 will be essential due to economic instability and rapid technological developments for integrating intelligence into systems, organizations, and sectors. The adoption of AI agents, sovereign data infrastructures, and resilient computing will determine how well companies can adapt to a more fragmented global landscape.
