The Intersection of "コト消費" and Contrarian AI Theses: Redefining Consumer Experiences in the Digital Age

The Intersection of "コト消費" and Contrarian AI Theses: Redefining Consumer Experiences in the Digital Age

Introduction:

In today's rapidly evolving digital landscape, the concept of consumer behavior is constantly being reshaped. One such concept that has gained significant importance in the BtoC realm is "コト消費" or "experience consumption." This article seeks to explore the parallel between the concept of "コト消費" and the contrarian AI theses proposed for early-stage investors. While seemingly unrelated, both topics shed light on the changing dynamics of consumer experiences and the transformative potential of emerging technologies.

Defining "コト消費" and its Common Points:

"コト消費" emphasizes the significance of real-life experiences that cannot be replicated or reproduced. It thrives on the idea of savoring unique moments and locations, placing value on active participation and personal contribution. This aligns with the contrarian AI thesis that highlights the limitations of horizontal LLMs (Language Model Models) and the need for new and innovative technologies to drive progress. Both "コト消費" and contrarian AI theses recognize the importance of personal engagement, authenticity, and emotional connection.

The Rise of Vertical LLMs and the Impact on Competitive Advantage:

Contrary to the notion that AI will revolutionize entire markets, the contrarian AI thesis suggests that its impact will be more specific, affecting individual companies. The concept of vertical LLMs, where tailored models cater to specific industries or steps in a company's value chain, gains prominence. This challenges the conventional approach of building generalized AI models and highlights the need for specialization. As a result, AI has the potential to erode traditional forms of competitive advantage, requiring companies to adapt their workflows and value chains to leverage the power of intelligence and learning.

The Bifurcation of the Economy: Real and AI Worlds:

The contrarian AI thesis predicts a future where the economy is divided into the real world and the AI world. This notion aligns with the essence of "コト消費" as it suggests a shift towards AI-driven experiences and interactions. Customer acquisition channels are expected to collapse into AI-powered agents, fundamentally transforming the way businesses engage with their audience. This shift could render traditional growth strategies, such as product-led growth (PLG) or community-driven go-to-market (GTM), less relevant, emphasizing the need for companies to embrace AI-driven solutions to stay competitive.

Actionable Advice:

1. Embrace Personalization: In the era of "コト消費" and AI, companies must focus on tailoring experiences and solutions to individual preferences. By leveraging AI technologies, businesses can deliver personalized offerings that resonate with consumers on a deeper level.

2. Foster Innovation: To stay ahead of the curve, companies should actively explore new and emerging technologies beyond LLMs. By investing in research and development, organizations can discover novel solutions that redefine consumer experiences and create new opportunities for growth.

3. Embrace AI Integration: Rather than resisting the integration of AI into existing workflows, companies should embrace and systematize AI-driven processes. By identifying areas within their value chain that can benefit from AI, organizations can optimize operations, drive efficiency, and unlock new potentials.

Conclusion:

The convergence of "コト消費" and contrarian AI theses highlights the evolving nature of consumer experiences in the digital age. As consumer preferences continue to shift towards personalized, authentic, and emotionally engaging encounters, businesses must adapt accordingly. By embracing AI technologies, companies can unlock new avenues for growth, redefine competitive advantage, and create transformative experiences that resonate with today's discerning consumers. Embracing personalization, fostering innovation, and integrating AI into workflows are key steps towards thriving in this dynamic landscape.