Entrepreneurs are noting a paradoxical trend: older professionals (40+) demonstrate higher engagement in AI transformation processes and more actively master new working methods, such as "vibe coding," compared to the younger generation.
What Happened
According to observations by entrepreneurs, the gap in AI adaptation is driven not by technical skills, but by cognitive perception. Professionals aged 40 and older perceive AI as a fundamental paradigm shift, whereas the digital generation (20-25 years old) tends to see it merely as another scheduled update to the existing technology stack.
Context
The difference in approaches stems from the perception of the scale of change. For the older generation, AI is a revolution that changes familiar business processes, which stimulates a deep study of systemic changes. For young people, AI often appears as an evolutionary development of tools, which may reduce the motivation for a deep transformation of approaches.
Why It Matters for the Industry
For the AI industry, this means a need to shift focus when creating tools: from purely technical interfaces to solutions that facilitate integration into complex, established business processes. There is also an expected increase in demand for workflow orchestration products oriented toward experienced managers, and an increased role for engineers capable of designing AI-native processes.
Why It Matters for Users
For readers, this serves as an important reminder that the "digital advantage" of younger users does not guarantee rapid adaptation to global shifts. On the contrary, experience in classical working methods and an understanding of systemic connections may become key success factors when mastering AI tools.
What Is Not Yet Known / Limitations
There is a difference in emphasis between roles: technical specialists focus on systemic architecture, while business roles emphasize integration into workflows.
Sources
Author
Look at AI, Editorial Staff