[Two Cents #74] “Flights of Thought” on Consumer + AI — Prelude
Introduction
It increasingly feels like the market’s readiness for Consumer AI has crossed a tipping point.
We are no longer just seeing isolated, novel services popping up in scattered corners of the market. Instead, we are entering a phase where fundamental discussions about reshaping entrenched industries and business models—SEO, marketplaces, commerce, and beyond—are happening in earnest.
Alongside new categories of consumer services (e.g., Daybreak, Rosebud, Pika Social), we are also seeing rapid emergence of the infrastructure that supports them (memory layers such as mem0 and Context, payments), as well as new methodologies (multi-agent systems, ambient agents). Some categories—most notably AI companion services—are already showing explosive revenue growth, hinting at what may become the first true Consumer AI killer app.
This is not yet a universally observable, dominant market shift. But across nearly every sector, we are clearly in a phase where countless early shoots are emerging simultaneously.
After nearly three years of post-ChatGPT-3.5 turbulence, parts of the AI market are beginning to settle. In LLM infrastructure, key players are emerging. In the enterprise market, coding has proven itself as the first undeniable killer app. Certain verticals such as legal are also starting to show clearer market structure. In other words, visibility is finally improving across segments of the AI landscape.
And while first movers do not always become ultimate winners, some Consumer AI categories—again, AI companions being the most notable—are beginning to demonstrate the potential to become the consumer-side equivalent of coding in enterprise AI.
Thoughts on the AI Tech Wave
As part of the broader AI technology wave, how might Consumer AI meaningfully take shape and scale? One useful mental model is to revisit how Web 1.0 unfolded in the late 1990s.
First, building on today’s installed user base and LLM infrastructure, we should expect a flood of experimental services across many domains, mushrooming rapidly as teams test market demand.
From a timing perspective, the U.S. market is likely to see a surge of such experimental products in H2 2025 through H1 2026, all competing aggressively for early market leadership. Korea will likely follow with a 6–18 month lag, initially through benchmarking and copy-driven execution.
This lag differs from the mobile transition era, when Korea tracked the U.S. much more closely. Mobile was largely a form-factor and UX shift, not a deep restructuring of industrial or business models—whereas AI clearly is.
Most of these experiments will fail. A small fraction—perhaps 1–10%—will emerge as early market winners. Among them, some will compound into enduring leaders (Amazon-like), while others will dominate temporarily before handing the baton to second-generation models (Yahoo, AltaVista-like).
Separately—and importantly—in the Korean market, beyond this “following the global market” dynamic, we expect the emergence of entirely new, native consumer experiences, particularly centered on play. As seen in iloveschool, SayClub, and Lineage, these tend to emerge at the intersection of content, gaming, social, and entertainment.
In this domain, innovation often proceeds independently of U.S. trends—and in some cases flows back into global markets. The virtual item–driven freemium model pioneered by SayClub and PMang later became the dominant global monetization model for digital content over the next two decades.
At Han River Partners, we refer to this domain as “Spectrum of Play”, and treat it as a distinct investment area within the broader consumer sector.
Naturally, the infrastructure and tooling required to support these shifts will emerge in parallel. In areas such as agents, personalization, multimodality, and UX, we should expect fundamentally new approaches—not incremental extensions of existing paradigms.
As with keyword advertising in Web 1.0, new business models and infrastructure layers will enable second-generation winners to emerge—Google, Uber, and TikTok–like outcomes in the Consumer AI era.
This inflection point is precisely where Han River Partners is most focused as an early-stage investor in Consumer + AI.
AI vs. Web and Mobile: What’s Different?
To frame this more clearly, it helps to contrast GenAI with prior platform shifts.
Web 1.0 introduced technologies (web protocols, HTTP) that made previously impossible things possible, fundamentally restructuring information distribution and enabling new business models.
Mobile, by contrast, was largely an incremental expansion—new form factors and UX layered onto existing capabilities, with added attributes such as location awareness, always-on connectivity, and ubiquitous cameras, which in turn shaped new but still incremental user behaviors.
AI is different. It makes existing tasks orders of magnitude faster and more efficient, while simultaneously enabling things that were theoretically possible but practically infeasible—video generation, music creation, and beyond. Doing familiar things dramatically better at scale effectively unlocks vast new categories that previously could not exist.
Conceptually, AI functions as an amplifier of intellectual capability. Just as the Industrial Revolution automated physical labor and amplified material production for over two centuries, AI will play a similar role for cognitive labor.
Understanding where AI aligns with—and diverges from—web and mobile is critical when evaluating how it reshapes opportunities and market dynamics.
Keywords to Explore in Consumer + AI
The work ahead is to think concretely about how AI-driven change will unfold, what it means for industry structure, competitive dynamics, and economic models—and to identify opportunities slightly ahead of the curve.
For founders, this means starting earlier with sharper hypotheses. For investors, it means recognizing and supporting these efforts sooner.
I plan to share my evolving “Flights of Thought” on these dynamics—across markets, technologies, and business ideas—through a series of essays. (The title, fittingly, was suggested by ChatGPT.)
The current plan is to publish one theme per week, covering market structure, observed signals, or emerging business ideas, and to extend these discussions into offline forums such as small AI salons. The list below may evolve—items may be added, removed, or reordered.
Themes to explore:
Fundamental shifts in existing playbooks
UX in Consumer AI
What exactly is an Agent?
Hyper-personalization
AI companions & social: the first Consumer AI killer app?
Entertainment: reborn or disrupted? (“Spectrum of Play”)
Creativity unlocked at consumer scale
Consumer AI by segment — Commerce, Education, Social, Healthcare, Fintech …
Required infrastructure layers
Consumer needs and primal instincts: AI as companion vs. solution
Where tech shifts intersect with behavioral shifts
Call for Startups
The purpose of sharing this thinking is straightforward. As an early-stage investor focused on Consumer + AI, I hope this series helps existing startups better leverage AI-driven shifts—and helps new founders reduce trial-and-error as they search for meaningful opportunities.
In that sense, this is Two Cents’ version of a Call for Startups.
If you are an early-stage founder or startup in Consumer + AI and believe you are onto something, my inbox is always open. Feel free to reach out via DM or email:
hur at hanriverpartners dot com