AI Boom Ending Faster Than Previous Tech Cycles, Analysis Finds

The era of artificial intelligence as a disruptive cultural and economic boom is closing much faster than previous technological revolutions. According to an analysis published by 36Kr, the technology is rapidly shifting from a transformative novelty into a commonplace utility, mirroring the trajectory of the internet.

The analysis argues that while historical tech booms—including the mainframe, PC, dot-com, and mobile app eras—typically lasted around a decade, AI's iteration speed is estimated to be two to three times faster. This acceleration is evidenced by a shift in industry behavior; leaders like Google have moved away from hyping disruption to focus on integrating AI into daily tasks. The report notes that by the 2026 Google I/O, AI had become ubiquitous, effectively ceasing to be a disruptive force and instead becoming a standard feature of the digital landscape.

The Concept of Technological 'Wallpaper'

Written from the perspective of a researcher in human-computer interaction and cognitive science, the piece frames this transition not as a failure or a crash, but as a normalization process. The author posits that the "end" of the AI era does not mean the technology disappears, but rather that it becomes "wallpaper"—invisible, integrated, and embedded into the background of human existence. As the author puts it, the artificial intelligence era will not end with a crash, but will follow the pattern of all great eras by integrating so fully into daily life that it will no longer be referred to as an "era" at all.

Shifting Value and Labor

This rapid saturation has significant implications for the economy and the labor market. The analysis suggests that the window for "disruptive" entrepreneurship is smaller than previously expected because the technology is stabilizing so quickly. Consequently, the source of value is shifting from the creation of the underlying technology to the definition of its boundaries and its human-centric application, often referred to as ambient computing.

This shift is already reflected in the job market. The report claims that the most valuable roles in the field are migrating away from model engineers—those who build the systems—toward practitioners specializing in AI governance, privacy, and ethics. As the tools become standardized, the priority shifts from technical construction to the management of the technology's societal and legal impact.

The Path to Ambient Computing

What remains to be seen is how this transition will affect long-term investment strategies for firms that banked on a decade-long disruption cycle. As AI moves toward a state of total integration, the industry must now pivot toward refining the user experience of an invisible tool. The focus is no longer on what AI can do, but on how it can exist silently in the background of the human experience.