Service / Contact - 2026 -
The art critic Clement Greenberg, with his legendary insight, once evaluated the works of Antoni Tàpies and Richard Diebenkorn—artists of differing styles—and discerned that their abstraction resided on the same masterful level. This caliber of aesthetic sensibility and intellectual depth, often taken for granted in global markets, feels markedly absent in the Japanese market.
Even with a well-structured UX flow, there are critical moments where an intense, visceral sense is required. What is truly necessary is an "overwhelming eye"—a perspective from an entirely different realm. The process by which TP visualizes the essence is of the highest caliber. By evaluating corporate identity and philosophy, including logos and landing pages, I delve deep into every element as an expert to secure profound user engagement.
The proliferation of AI by tech giants has democratized access to "collective intelligence." While this may seem to diminish individual expertise, AI algorithms inherently pursue "statistical averages" or "plausible approximations." This fundamentally differs from the "absolute intelligence" humans attain through introspection and experience. Thus, the value of true expertise is being redefined in a purer form.
Admittedly, 2026-year AI boasts astonishing speed and data coverage. However, its convergence toward a "massive average" often strips away the subtle nuances and essences that experts prioritize. This statistical thinning remains a structural limitation of collective intelligence.
Furthermore, genuine expertise exists in infinite "state spaces." As evidenced by Willem de Kooning’s complex abstract paintings, optimizing the physical layering and chaotic energy on canvas remains in a stage of "insufficient computation" for AI. AI’s incomplete abstraction and inductive nature cannot replicate the expert’s ability to intuit pure mathematical equilibrium and structural necessity while coolly discarding context.
Crucially, despite its vast knowledge (Know), AI lacks the capacity to experience (Feel) the value it processes. Just as Apple's success was deeply rooted in pursuing user engagement, the essence of expertise lies in building empathetic connections. The shift in global top-tier companies over the past two decades proves that innovative intuition sits atop the hierarchy of data.
Ultimately, AI’s true purpose is not to surpass humans, but to achieve sophisticated "coexistence." High-level expertise has always overcome the noise of mediocre consensus. By delegating "superficial knowledge" to AI assistants, true experts have entered an era where they can function with greater pride and authenticity.
