Management Strategy Looking Toward 2035: The Future Shaped by AI Agents and the Redefinition of Human Value

Introduction: Why Deep Insight into Tech Trends is Needed Now

As of 2026, the pace of technological evolution is accelerating at an unprecedented rate in human history. Particularly since the advent of Generative AI, society-wide implementation is entering its final stages within just a few years, fundamentally shaking the foundations of our lives and business. For those responsible for new ventures and corporate planning, considering strategy along the extension of the present is extremely dangerous. Why is deep insight into tech trends needed now? Because the future of 2035 will completely overturn current common sense. An era is approaching where the relationship between humans and machines, and the very process of value creation, will be redefined—not merely as an extension of digitization. This article provides a perspective essential for future-started management strategy, offering guidance for companies to undergo transformation for survival. Reading the changes in social structure beyond the surface of technology is the only path to sustainable growth. Rather than harboring vague anxiety, drawing a concrete vision of the future and changing current actions through backward planning is the greatest responsibility required of leaders.

Current Market Trends and Background: Social Change and Tech Evolution

To grasp current market trends, it is necessary to capture both social structural changes and technological evolution simultaneously. As suggested by Dentsu Future Mandala 2026, AI is no longer just a specific technology but is becoming a social infrastructure akin to electricity or the internet. Technology is indispensable as a means to supplement labor shortages in a declining population society and to achieve personalization amid diversifying consumer values. However, true competitive advantage cannot be gained by viewing it merely as an efficiency tool. Underlying this is a major surge in the fusion of digital and physical, and the redefinition of humanity. Companies must reinterpret the changes brought by technology not just as superficial efficiency improvements, but as transformations that shake the fundamentals of their business models. Especially after 2026, the autonomy of AI agents and intervention into the physical world will become prominent, potentially rewriting the rules of the market itself. In a global competitive environment, the ability to detect these trends early and allocate company resources accordingly will determine success or failure. Delays in technology adoption should be recognized as leading directly to loss of market share.

Three Paradigm Shifts Brought by Tech Trends

1. Changing Role of AI: From Responder to Autonomous Executor

The first paradigm shift is the change in AI's role from "responder" to "executor." AI Agents, the keyword of 2026, complete tasks autonomously without waiting for human instructions. This implies a fundamental change in business workflows. Humans shift to the role of supervisors, guaranteeing the quality of outputs executed by AI. Consequently, organizational structures flatten, and the speed of decision-making improves dramatically. However, this also carries the risk of ambiguous accountability. Companies must establish new governance frameworks for human-AI collaboration. There is a need for resolve to redesign business processes themselves based on AI premises, rather than simply introducing chatbots. Creating mechanisms like Compound AI Systems that coordinate multiple AIs to solve complex issues will be key to productivity improvements going forward. Please shift your consciousness from passive tool usage to active partnership.

2. Domain Expansion: From Digital to the Physical World

The second shift is expansion from the digital domain to the physical domain. This trend, called Physical AI, integrates robotics, IoT, and AI to create intelligence that operates in the real world. Domains range from autonomous transport in manufacturing sites, picking in logistics warehouses, to household chore support. This directly impacts industrial structure. The boundary between hardware and software becomes blurred, and physical delivery value becomes important even in the service industry. Companies must possess the ability to design how their products and services should behave in the physical world—namely, physical design thinking. Technical implementation based on understanding spatial awareness and physical laws, not just data, becomes the source of competitiveness. Optimization during inference via Test-Time Compute is also an indispensable technical element for physical systems operating in real-time. Linking simulations using Digital Twins with the real world creates new value.

3. Redefining Human Value: Context Design and Empathy Provision

The third point is the redefinition of value that only humans can provide. As AI takes on logical thinking and the generation of creative works, the human role concentrates on "context design" and "providing empathy." As the new job title Context Engineer gains attention, the ability to give AI appropriate purposes and constraints becomes valuable. Furthermore, elements such as emotional connections with customers, trust in brands, and social significance become primary factors in purchase decisions. Since AI wins on efficiency and price competition, companies should focus on experience design that highlights humanity. Educational systems and evaluation criteria also shift from knowledge accumulation to the ability to ask questions and ethical judgment. This requires transformation even for managers themselves. As Vertical AI drives deepening in specialized fields, humans must hold a cross-cutting perspective and play a role connecting different domains. How to translate the depth of humanity into business will be the ultimate differentiation factor.

Industry-Specific Impacts and Future Predictions

Looking at industry-specific impacts, manufacturing will accelerate smart factory conversion via Physical AI, making small-batch multi-variety production standard. AI optimizes throughout the supply chain, minimizing inventory risk. In retail, individualized proposals by AI Agents become the norm, and physical stores evolve into experiential venues. Customers not only try products in stores but enjoy shopping while receiving AI-based coordination proposals. In the service industry, routine work is fully automated, and humans focus exclusively on complex problem-solving and high-touch customer interactions. Across all industries, the ability to predict future customer needs using data becomes crucial. Looking toward 2035, collaboration beyond industry barriers is indispensable. Cross-boundary value creation, such as manufacturing providing services and retail producing data, will determine victory or defeat. Even in finance, AI handles risk assessment and investment judgments, while humans function as advisors accompanying customers' life planning. In healthcare, diagnostic support AI becomes standard, and doctors concentrate on communication with patients and final judgments. Thus, the redefinition of core competencies progresses in each industry.

Action Plans Companies Should Prepare for Immediately

Action plans companies should prepare for immediately cover various aspects. First, data infrastructure preparation. High-quality internal data for AI learning must be accumulated and organized. Integrating scattered data and making it usable is the top priority. Second, talent development. Not only conduct AI literacy education for existing employees but also define new roles like Context Engineers and revise recruitment strategies. Collaboration with external experts should be actively pursued. Third, culture transformation. Create an agile organizational culture that tolerates failure and repeats experiments. Regularly holding workshops using future prediction tools to share a sense of the future across the organization is also effective. Refreshing mindsets is the top priority, not just technology introduction. When top management themselves engage in future learning and articulate the vision, the organization moves. Draw a roadmap to promote transformation gradually while balancing infrastructure investment and talent investment.

Summary: Message Toward the Future

The future does not come just by waiting. It is something we reach out and create ourselves. Visualizing the distant future of 2035 right now and changing current actions through backward planning. That is the only path to sustainable growth. Technology is merely a means; the goal is the richness of human society. Do not forget this perspective, and take courage to undertake transformation. Utilizing tools like Dentsu Future Mandala to explore the future from multiple angles is an effective means to reduce uncertainty. However, ultimately, humans decide and execute. Precisely because AI agents are becoming autonomous, human will and passion become important. Your single step will open up the future of the entire industry. Now is the time to steer toward future-started management strategy. Rather than being swallowed by the waves of technology, ride the waves like a surfer and master the future freely.