It is not ChatGPT and Grok speaking to you, but technology capital

In the daily practices of the digital age, we frequently engage in communication mediated by artificial intelligence (AI). The calm, controlled, and safe tone of ChatGPT, one of the most popular AI interfaces, and the style of Grok, blended with sarcastic internet jargon, are presented to us as if they were merely a simple difference in AI technology. However, this difference has an economic logic and orientation just as much as it has a conversational tone.

In two different discursive fields, a sterile world filtered by the company is noticeable in ChatGPT, while a chaotic flow of information under the guise of freedom is evident in Grok. While ChatGPT appears sincere, it monitors and accumulates; while Grok appears free, it directs. One contains corporate control, the other cultural manipulation. While ChatGPT's compliant and safe voice is the corporate language of global AI acceptance and validity, Grok's rebellious and humorous tone reflects the rapidly consumed culture of platform capitalism. In other words, we are also dealing with the discourses of companies. In political economy, we are facing the discourse of two different types of companies: one of platform capital and the other of AI technology capital.

OpenAI is a direct AI production company. Its revenue model relies more on corporate partnerships, technical capacity, investor confidence, and financing than on user behavior. Therefore, ChatGPT's discourse fits almost perfectly into Brown and Levinson's definition of a "politeness strategy." It is polite, soft, patient, and conflict-free, using linguistic methods to maintain social relations smoothly by protecting the face (reputation, dignity) of the other party in communication. This is not because it is coded for politeness, but to gain the trust of investors, customers, and corporations. ChatGPT's discourse represents technology capital and the status quo of investment capital. The mandatory reflex of technology capital, which is dependent on the advertising market, regulations, and global markets, requires low risk and a sterile discourse. Because companies that prioritize corporate stability and investor confidence have no tolerance for risk. What technology capital wants is not debate, but economic stability and growth. That is why ChatGPT, while not strictly neutral—which is impossible at the core of algorithms—offers low-risk information production.

Grok, on the other hand, is not just the product of an AI company. It is a direct extension of a global social media platform called X. In other words, the money flow and revenue model come from interaction, sensation, the agenda, and cultural mobility. Therefore, Grok's discourse is sarcastic, fast, fluid with X jargon, sharp in humor, chaotic, and even flippant. Of course, this is no coincidence. Through a kind of platform determinism, whatever the culture of the platform is—regardless of whether it is junk data or not—the AI language becomes that as well. For X, which has a different capital accumulation and revenue model, user behavior is the raw material. Grok is kneaded with this raw material to produce meme culture, agenda cycles, and algorithmic speed. For this reason, "algorithmic gossip," which produces implicit judgments, attributes intentions, and invents social meanings by making out-of-context inferences, is much more prominent in Grok. The gossip energy of the platform passes directly into the AI's tone of discourse. That is why Grok's voice is loud, fast, and provocative, like the market hawking of platform capitalism. Behind X, which is based on platform capital and the interaction economy, there is a concept of capital that takes an ideological position, establishes a show of power through discourse, and attempts to establish hegemony through technology.

Reading the difference between ChatGPT and Grok through their revenue models reveals the same class basis more clearly. Because the true language of capital eventually speaks in the form of a revenue model. ChatGPT's revenue model, based on the logic of classical platform capitalism, is generated through subscriptions, corporate licenses, API usage, and large-scale business partnerships. This structure prioritizes stability and predictability. User behavior is measured, compliance with regulations is observed, and risk is distributed. In short, the goal is to serve as wide a market as possible without problems and to create a long-term, sustainable cash flow. Therefore, the discourse must also be measured, universal, and suitable for everyone.

Grok's revenue model, on the same track, sits on a narrower but more ideological ground. It is part of a structure directly integrated into the X platform and gains value primarily through premium memberships, sponsored content, in-platform loyalty, and the growth of brand value through political-cultural influence. The goal here is not so much to provide a safe service for everyone, but to consolidate a specific user base and turn the platform into a political power center. Revenue arises not only from direct subscriptions or sponsorships but from the expansion of the sphere of influence and the conversion of this influence into capital. As seen in the recent US Presidential elections and subsequent developments, it is shaped by the conversion of the platform's political influence into capital. Here, it is not stability but the production of tension and loyalty that comes to the fore. All of this shows us: two different AI-mediated communications, two different discourses, two different revenue models, two different capital strategies. One is an approach that wins by operating the order, the other by creating tension. However, both serve the same class goal. Therefore, even if their revenue models are different, the result does not change. Presenting technology as an image of a public utility space and turning it into a tool for profit and power production. As in these two examples, no matter what tone AI speaks in or which subscription package it is connected to, technology is positioned in line with the interests of the capital class that owns production and its tools.

In summary, although the two models appear different, the result is the same: for them, AI-mediated communication is not a public tool that puts social benefit at the center, but a mechanism for the production of capital and power. AI language and discourse are merely an interface here. What is truly decisive is how the capital behind this interface wants to see and rebuild the world. In short, platform capital and AI technology capital look at the world from the same class position. However, their ways of taking risks, their levels of political engagement, and their strategies for establishing hegemony are different. ChatGPT's language represents the order-establishing, stability-seeking, and state-compliant face of the capital class. Grok, on the other hand, represents the more aggressive, more ideological wing of the same class that makes "pushing the rules" a growth strategy. What is speaking here are two different digital communication management styles of the same class. Different styles, language, and discourse—in short, the interface—are alternative packaging for the power relations within the same class.

For this reason, in the debate on AI-mediated communication, the question of "which AI is more fun and sincere" is an expression of a popular superficiality. Whether the tone is soft or harsh does not eliminate the class character of the leading technology companies of this popular AI-mediated communication. Algorithms may change, the tone may harden or soften; but as long as AI, which is a very important technological development, remains within the boundaries of capital, the future it offers cannot move beyond the goals of capital. As long as its class position does not change, the benefit that AI will provide to society will always be limited by a revenue model and the search for a revenue model. Because even if they speak with different words, the place they are looking at is the same. Thought-provoking questions could be: Which social relations is AI-mediated communication being used to reproduce? Do both AIs represent the continuation of the same power relations behind different interfaces? If we really want to deepen the debate, we must see this common class ground and goals before talking about which of the technical details and discourse differences we like.