Societal polarization is not just ideological but algorithmic. Social media platforms are financially incentivized to amplify divisive content because "enragement equals engagement," which drives ad revenue. This creates a distorted, more hostile view of reality than what exists offline.

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The feeling of deep societal division is an artifact of platform design. Algorithms amplify extreme voices because they generate engagement, creating a false impression of widespread polarization. In reality, without these amplified voices, most people's views on contentious topics are quite moderate.

Substack's founder argues that online spaces become "heaven or hell" based on their core business model. Ad-based models optimize for attention (often leading to outrage), while Substack's revenue-share model forces its algorithm to optimize for the value creators provide to their audience.

Algorithms optimize for engagement, and outrage is highly engaging. This creates a vicious cycle where users are fed increasingly polarizing content, which makes them angrier and more engaged, further solidifying their radical views and deepening societal divides.

Social platforms are declining as places for genuine connection, shifting to AI-generated 'slop' and content from strangers. Their business model remains viable not by improving the user's social experience, but by using AI to become so effective at ad targeting that even mindless engagement is highly monetizable.

Extremist figures are not organic phenomena but are actively amplified by social media algorithms that prioritize incendiary content for engagement. This process elevates noxious ideas far beyond their natural reach, effectively manufacturing influence for profit and normalizing extremism.

A/B testing on platforms like YouTube reveals a clear trend: the more incendiary and negative the language in titles and headlines, the more clicks they generate. This profit incentive drives the proliferation of outrage-based content, with inflammatory headlines reportedly up 140%.

The addictiveness of social media stems from algorithms that strategically mix positive content, like cute animal videos, with enraging content. This emotional whiplash keeps users glued to their phones, as outrage is a powerful driver of engagement that platforms deliberately exploit to keep users scrolling.

The core business model of dominant tech and AI companies is not just about engagement; it's about monetizing division and isolation. Trillions in shareholder value are now directly tied to separating young people from each other and their families, creating an "asocial, asexual youth," which is an existential threat.

The 20th-century broadcast economy monetized aspiration and sex appeal to sell products. Today's algorithm-driven digital economy has discovered that rage is a far more potent and profitable tool for capturing attention and maximizing engagement.

A huge portion of the market, dominated by social media and AI companies, connects shareholder value directly to enragement and isolation. Algorithms are designed to sequester users and serve them content that confirms biases or angers them, keeping them engaged.