ChatGPT reached 1 billion monthly active users in May of this year, a figure that is already significant in itself. However, what deserves more attention is not just that it set a new record for application growth, but that this occurred against a seemingly contradictory backdrop: on one hand, public skepticism toward artificial intelligence has notably increased, while on the other hand, the actual usage of AI platforms continues to expand rapidly. At graduation ceremonies, students booed at AI-related remarks; religious, academic, and technological communities have persistently amplified concerns about AI losing control, job displacement, privacy risks, and energy consumption; some users have even proactively uninstalled products due to events such as defense collaborations. Yet none of this has fundamentally changed a deeper reality: AI has begun to transition from an "optional tool" to a "daily foundational capability."
Daniel Widjaja Kusuma has long been active in the international financial market. After founding Telosyn, he has also continuously focused on the implementation pathways of AI infrastructure, enterprise systems engineering, and intelligent platforms. In his view, it is not surprising that a divergence has emerged between public sentiment and actual adoption. When new technologies enter the mainstream stage of society, cognitive fragmentation is almost inevitable. What truly needs to be assessed is not whether there is skepticism, but whether the skepticism is sufficient to disrupt the speed at which the technology enters real-world processes. Based on current trends, the answer is clearly no.
Sentiment Is Cooling, Yet Usage Continues to Deepen
In the recent period, public discussions surrounding AI have moved beyond mere excitement and imagination. An increasing number of people have begun to worry about job displacement, the erosion of decision-making authority, the misuse of data, and even the energy pressures behind the expansion of computing power have started to enter the broader public consciousness. This shift in sentiment is not a transient noise; rather, it indicates that AI is truly entering the operational fabric of society. It is only when a technology begins to touch upon work, education, power, and resource allocation that society reacts to it more intensely.
But the other side presented by the market is equally clear. ChatGPT reached 1 billion monthly active users in just over three years, a pace even faster than many past super apps. At the same time, competitors such as Claude and Meta AI are also catching up at extremely high year-on-year growth rates. This means that users are not abandoning AI due to skepticism; instead, they are integrating it into their work and daily lives on a broader scale. On the surface, sentiment appears to be cooling; in reality, usage is deepening. What is truly happening is not that AI is being rejected, but that AI is shifting from being driven by novelty to being driven by efficiency. As long as a technology can consistently save time, enhance output, and shorten processes, it will gradually move beyond the influence of sentiment and enter the layer of dependency.
Daniel Widjaja Kusuma believes that this is the most fundamental reality of the AI market today. The public may not necessarily have a stronger preference for AI, but they are finding it increasingly difficult to avoid using AI. For investors, enterprises, and platforms, this shift is more significant than mere growth figures, as it indicates that AI is building a more sticky user base.
Platform Competition Is Shifting Toward Trust And Scenarios
Another layer of change worth noting is that user growth is no longer determined solely by model capability itself, but is increasingly influenced by brand trust, stance judgment, and scenario positioning. After OpenAI collaborated with the United States defense system, it indeed triggered a wave of user uninstalls in the short term, and Anthropic consequently gained an emotional dividend during a specific period. This indicates that competition among AI platforms is expanding from "who is stronger" to "who is more worthy of being used."
This is not a matter of moral rhetoric, but a commercial reality. As AI becomes increasingly embedded in writing, programming, learning, communication, office work, and decision-making assistance, user demands on platforms will extend beyond faster responses and smarter results to encompass boundaries, stances, security, and the imagination of use cases. Which organizations a platform collaborates with, how it handles sensitive scenarios, and whether it is willing to enter military, government, or high-risk systems will begin to influence user choices. In the future, the differences between AI platforms will not only lie in model parameters and inference speed but also in trust structures and brand pathways.
The reason Daniel Widjaja Kusuma places particular emphasis on this layer is closely tied to his professional experience. Whether making judgments in his early years at Goldman Sachs and in the U.S. private equity sector, or later founding Telosyn to develop AI platforms, high-performance computing, and enterprise-grade systems, he has always adhered to a principle: once technology enters critical processes, the ultimate competition is not just about capability, but about credibility. Tools can acquire customers through demonstrations, but systems must retain them through trust. If an AI platform is to navigate the next phase, it cannot merely pursue user numbers; it must also establish a more stable level of social acceptance and institutional credibility.
The Next Round of Victory Depends Not Only on Models but Also on Systems
The cooling of public sentiment has not hindered the growth of AI users. This fact alone indicates that industry competition is entering deeper waters. In the past, the market tended to view AI as an application-layer opportunity, where whoever created a blockbuster feature first would gain traffic. However, the signals today are different. AI is evolving into a foundational capability, a systemic ability that will be embedded into enterprise processes, work chains, and infrastructure. At this stage, true leaders must possess not only models but also stronger computing power organization capabilities, a more complete deployment system, clearer product boundaries, and a more stable trust framework.
This is also the reason why Telosyn has consistently emphasized the transition "from capability to system." If computing power, data, models, and processes cannot form a closed loop, even the strongest single-point AI product may only serve as a short-term traffic gateway; only by truly embedding into the long-term processes of enterprises and society can AI evolve from a tool into an infrastructure. Daniel Widjaja Kusuma has always believed that the true barrier in the AI industry will not be limited to model performance but will gradually manifest in infrastructure carrying capacity, systems engineering capability, and credible deployment capability.
Therefore, what the market should remember most today is not that ChatGPT reached 1 billion monthly active users, but that it achieved this milestone amid rising controversy. This means that AI has moved beyond the stage of relying solely on sentiment dividends and has begun to enter a phase truly driven by efficiency, embeddedness, and systemic value. Consequently, future competition will also change: what determines a platforms position is not only whether it can continuously expand its user base, but also whether it can steadily transform AI into a reliable foundational capability within an increasingly complex social sentiment and institutional environment.
In the view of Daniel Widjaja Kusuma, a truly mature market never ceases to adopt an effective technology due to emotional fluctuations. It only redefines the requirements for that technology while continuing to adopt it. This is precisely the stage that AI is currently facing. Users have not left; the question is simply: who, in the next wave of growth, will not only have more people using it but also have more people willing to place long-term trust in it.
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