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San Francisco is becoming the focal point of a volatile social experiment in which artificial intelligence is not only reshaping technology, but also redefining class structure. The rise of AI has generated a new wave of wealth while widening the gap between those who control the technology and the rest of the economy.
San Francisco has long symbolized the contrast between extreme wealth and extreme poverty. Today, the city is entering an early stage of a K-shaped polarization, with a split between traditional wealthy groups and an even richer class benefiting directly from AI.
The attack on the home of OpenAI CEO Sam Altman was described as a warning sign of the tensions surrounding new technology and its growing economic influence. Daniel Moreno-Gama, a student from Texas, was charged after the incident; police said they found a manifesto against AI. While the attorney cited mental health reasons, the episode heightened concerns across the Bay Area.
The city has experienced repeated boom-and-bust cycles in the tech industry. For a generation, many workers enjoyed high salaries and strong job security. However, the introduction of AI has made even highly skilled roles feel less stable. Major employers including Amazon, Meta, and Oracle have carried out mass layoffs in recent times, and programmers who previously expected long-term career stability increasingly fear replacement.
That anxiety is also visible in tech forums, where pessimism and existential fear are spreading. One post about life at Meta described exhaustion with an “unfair world,” reflecting a broader sense that even those inside the “ivory towers” may be left behind.
Tech entrepreneur Chamath Palihapitiya argues that the tension is not limited to a few companies. He says many people feel the benefits of AI are concentrated among a small minority that controls the technology.
Unlike earlier cycles, AI is creating a divide within the ranks of the already well-paid. The privilege of “super engineers” supported by AI is separating them from the rest of the industry. Some are rushing into AI as a perceived lifeline to secure the American Dream, believing that failing to get rich now could relegate them to a lower class in the new era.
While offers worth hundreds of millions of dollars attract attention, the article emphasizes that base salaries are what most directly change lives. It states that startups including OpenAI and Anthropic are prioritizing cash compensation over equity in their benefits packages.
According to the article, base salaries in the AI sector are higher than traditional Big Tech by about $40,000 to $85,000 per year. It cites Levels.fyi data showing that an OpenAI Level 5 engineer can earn a base salary of $325,000 (over 8 billion dong), while a comparable Apple role requiring 11 years of experience commands a base salary of $265,000.
This pay gap is described as giving AI “stars” outsized purchasing power in essential goods and services markets, reshaping spending patterns and contributing to higher living costs in an already expensive region.
Jackie Tom, a long-time real estate broker, said the rental market is being significantly affected by AI workers. The article states that more than 25% of rental applications come from people working in this emerging, high-income tech sector.
It adds that two-bedroom apartments that were previously common are increasingly sought by ultra-high-income renters. Many clients earning $40,000 a month are reportedly looking for rentals around $5,000, using cash to compete and pushing prices upward.
The article says this competition is tougher than during the late-90s dot-com boom, contributing to local resentment and frustration among professionals in other fields. A recurring complaint described is that even people with good credit and high income are still being turned away.
The article links the rise of the PauseAI movement to deep economic and social instability. It notes that OpenAI and related firms are trying to calm public concerns by presenting a bright future for all, but that these efforts are often viewed as unrealistic or as a shield for group interests.
Debate over the future is ongoing: some see it as broadly beneficial, while others view it as a distant promise for those losing jobs or homes. The article also says the rift between billionaire visions and everyday reality is widening, with dissenting voices inside OpenAI challenging how the company handles public trust.
It argues that the industry must demonstrate results rather than only promise positives, warning that concealing risk or emphasizing only favorable outcomes could intensify skepticism and backlash.
Overall, the article portrays San Francisco as a laboratory for the future—where AI-generated wealth is accompanied by social instability and erosion of middle-class values—and suggests the pattern could spread beyond the city as the world negotiates what comes next.
“Is AI the motor of humanity’s ascent, or a blade that deepens the wounds of wealth inequality?” the article concludes, noting that the answer remains open, but calling the chaos in San Francisco the clearest warning in the present.
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