Why the Tech Oligarchs' 'Humanity Remake Plan' Is So Unsettling

Tech giants are accumulating wealth and power at an unprecedented pace. When the handful of people who control AI, social media, and global digital infrastructure begin to openly discuss "the future of humanity," the picture they paint isn't always inspiring. A recent Hacker News discussion thread titled "Big Tech Oligarchs Have a Terrible Plan for Humanity" may offer limited information in its body, but the title itself homes in on a public issue that's gathering steam: the tech oligarchs' blueprint for remaking human society is likely far less rosy than they claim.

What exactly is the oligarchs' "plan for humanity"

To understand the controversy, you first need to grasp a basic fact: a handful of tech companies have come to control the infrastructure that defines how humans live. From search ranking to feed recommendation, from large-model training to cloud compute, the rules of these systems are set by a very small number of people yet affect billions. When this structural power is combined with grand narratives like "saving humanity" or "accelerating evolution," it constitutes a governance model worth being wary of.

The Hacker News thread got 22 points and zero comments—and that data point is itself interesting. It shows the topic drew attention, but readers may not yet have found the right entry point—or the question is simply too big, leaving people unsure where to begin. That's precisely where this article tries to step in: breaking the "terrible plan" down into concrete dimensions that can be discussed.

A habitual mindset of technological determinism

The tendency tech oligarchs most often display is a belief that technological breakthroughs can bypass social complexity. Whether it's colonizing Mars, brain-computer interfaces, or artificial general intelligence, the underlying assumption is often: as long as the technology is advanced enough, existing social conflicts, distributive injustice, and institutional flaws can all be "solved." This technological determinism erases a key question—who decides the direction of technological development, and who bears the cost of trial and error.

Judging from the long-running threads in the Hacker News community, many developers and researchers are wary of the "release first, govern later" model. When a system's reach extends to hundreds of millions of users, the cost of patching afterward is far higher than designing ahead of time. The rapid-iteration logic the oligarchs champion simply doesn't apply in the realm of public governance.

Technological determinism is a theoretical perspective holding that technological development is independent of society and unilaterally determines social structure and cultural form; its intellectual roots trace back to scholars such as Veblen and Ogburn. In Silicon Valley discourse it often appears as "techno-solutionism," i.e., reducing complex social problems to technical challenges to be conquered. Critics such as Evgeny Morozov point out that this line of thinking quietly replaces political contestation with engineering optimization, thereby making questions of power distribution invisible. The opposing stance is "social construction of technology" (SCOT), which emphasizes that the form and consequences of technology are shaped jointly by the groups and institutions that use it. Understanding this opposition helps clarify why the leap in the oligarchs' narrative—"as long as the tech is strong enough, social conflicts will naturally dissolve"—doesn't hold up.

Power concentration and the "for your own good" narrative

Another unsettling dimension is that these plans are always wrapped in altruistic language. "Connecting the world," "making knowledge accessible to all," "accelerating human progress"—the slogans themselves are fine; the problem is that they often coexist with monopolistic behavior. Platforms tighten their APIs while proclaiming openness, and raise the compute threshold while advocating accessibility—this tension between words and deeds undermines the credibility of the narrative.

The tech oligarchs' vision for humanity's future is essentially a top-down design. It assumes that a small number of people with capital and technology know better than the public where society should go. This marks a clear departure from the original spirit of the open internet.

Why this kind of plan is "terrible"

To judge whether a plan is terrible, you can't look only at its stated goals; you also have to look at its incentive structure and feedback mechanisms. The remake plans led by tech oligarchs have several structural flaws.

Lack of external error-correction mechanisms

When an organization's decision-makers simultaneously control capital, data, and narrative channels, it's very hard for outsiders to check them effectively. Regulation tends to lag, academia depends on corporate data, and media platforms are themselves the object of discussion. This closed loop makes errors hard to detect and correct in time. Many commenters on Hacker News have noted that ethics teams inside tech companies are often marginalized and struggle to play a substantive role under commercial pressure.

Regulatory capture is a key concept for understanding "error-correction failure." Systematically proposed by economist George Stigler, it refers to regulators being influenced or even co-opted over long-term interaction by the industry they are supposed to regulate, ultimately serving the interests of the regulated. What's special about the tech sector is that regulators often lack technical capabilities and data resources equal to those of companies, creating what is called "information-asymmetry capture." Alongside it is the "revolving door" phenomenon—two-way movement between regulatory officials and corporate executives. Another related concept is the algorithmic audit, i.e., systematic inspection of model behavior by an independent third party, whose effectiveness depends heavily on data access—which is precisely in the platforms' hands. Together these two concepts explain why external checks often become mere formalities in the face of structural power.

Asymmetric distribution of risk and reward

The oligarchs' plans often socialize risk and privatize reward. Infrastructure investment is supported by public resources or user data, while the value generated is concentrated in the hands of a few shareholders. When experiments fail, the consequences fall on ordinary users and society; when experiments succeed, the dividends are rarely widely shared. This asymmetry is the most practical footnote to the "terrible plan."

Externality is the classic economic tool for describing this kind of asymmetry: when the cost of an action is not borne by the decision-maker but shifted to a third party, a negative externality arises. The experiments of tech oligarchs—from the attention consumption of feed algorithms to the data and energy consumption of model training—externalize much of their cost onto users, communities, and public resources, while the benefits are internalized through equity structures. Related to this is regulatory arbitrage, i.e., companies evading constraints by choosing a jurisdiction or product architecture. The "tragedy of the commons" and "anticommons" theories from institutional economics are also often used to discuss the governance dilemma of new infrastructure such as data and compute, providing an analyzable language for "socialized risk, privatized reward."

An alternative path: giving the future back to more people

Criticizing the oligarchs' plans is not the same as opposing technological progress. The key is to change the decision-making structure of technological development. Healthier paths include: governing critical infrastructure as a public good, requiring high-risk AI systems to undergo independent audits, supporting open standards and decentralized protocols, and involving affected groups at the design stage.

The Hacker News community's sustained interest in open-source models and federated architectures reflects precisely this demand. People don't not want technological progress; they want the direction of progress not to be decided by a small number of people alone.

Back to that title: the tech oligarchs do have a "plan," but whether it's "terrible" depends on whether we're willing to join the discussion and intervene. The silence of 22 points and zero comments is worth breaking.

Decentralized protocols and federated architectures are the technical anchor points of the alternative path, represented by Fediverse applications such as Mastodon, powered by ActivityPub, and content-addressed networks such as IPFS. Their core proposition is to strip identity, data, and interoperability rules away from a single platform so that users can migrate across nodes. The governance philosophy that echoes this is commons governance; Elinor Ostrom's research shows that resource communities can achieve sustainable management through self-defined rules without relying on the binary choice of state or market. Open standards are another pillar, lowering barriers to entry through public, implementable specifications. Together these concepts form the institutional basis for "participatory design," so that the direction of technology is no longer unilaterally set by a few holders of capital.

One-line Summary

The tech oligarchs wrap technological determinism in altruistic narratives; their plans to remake humanity warrant vigilance because of their lack of error-correction mechanisms and the asymmetry between risk and reward.

Paragraph Summary

Starting from a zero-comment Hacker News thread, the article dissects the structural problems of the tech oligarchs' "plan for humanity." The author notes that a handful of companies already control the infrastructure that defines how we live, and their plans carry a tint of technological determinism, seeking to bypass social complexity with technological breakthroughs and using altruistic language to mask monopolistic behavior. Whether a plan is terrible hinges on its incentive structure and feedback mechanisms: a closed decision loop renders external correction ineffective, socializing risk while privatizing reward. The alternative path is not to oppose progress but to change the decision-making structure—governing critical infrastructure as a public good, independently auditing high-risk AI, supporting open standards and decentralized protocols, and involving affected groups at the design stage. The silence of zero comments itself signals the public's speechlessness in the face of grand issues.