Why Do Democrats Hate AI So Much? The US is going crazy lately. Silicon Valley is building data centers at a frenzy, Nvidia is busy selling chips, and OpenAI, Google, and Anthropic are vying to train smarter models. According to the tech industry, humanity is standing on the threshold of the next industrial revolution. On the other hand, some heavyweight figures in the Democratic Party are starting to put the brakes on AI. Bernie Sanders advocates halting new data center construction, AOC presented polluted water samples from around data centers to Congress, and Elizabeth Warren proposed taxing AI companies and data centers. In the 2026 US midterm elections, opposing data center expansion has even become a campaign weapon for some Democratic candidates. A Pew Research Center survey in September of this year showed that 56% of Democrats are worried about the increasing prevalence of AI, and a staggering 75% believe that AI will reduce jobs. Why are Democrats so worried about AI? What's the big deal? Among the traditional supporters of the Democratic Party are union workers, teachers, doctors, government employees, as well as a large number of college-graduate white-collar workers and professionals. AI is precisely starting to threaten the jobs of these people. Previously, factory automation primarily replaced repetitive labor on assembly lines. Now, AI can write code, design, draft contracts, write reports, and even participate in research and perform surgery on living people. A task that used to require ten people in a company may gradually be completed by three or four people working with AI. For ordinary employees, the boss announcing that AI has improved productivity sounds like good news, but the feeling is completely different when the department starts laying off staff. AI is intelligent, but it has a major drawback: it consumes a lot of electricity. Those data centers that look like warehouses, crammed with servers, require electricity to operate and water to cool. Tech companies gain computing power, but local residents may begin to worry about electricity prices, water resources, and the environment. This is easy to understand: a community originally wanted job opportunities, but instead received a huge server warehouse; the first thing residents might notice is the electricity bill. This is also why opposition to data centers transcends party lines, and even some Republican voters don't welcome them. The conflict between new money and old money is no secret. Here, "old money" doesn't refer to a few wealthy families, but rather to the social order represented by the traditional elite class and the value system of the Democratic Party. Old money typically values scarcity. Prestigious university degrees, professional qualifications, artistic cultivation, and extensive networks are all barriers that require long-term accumulation to acquire. An individual's social value largely stems from these things that are difficult for others to replicate. AI excels at lowering these barriers. Previously, hiring someone to write a decent report cost money, creating a professional image required skills, and entering certain knowledge fields required lengthy learning. Now, ordinary people can access previously expensive professional assistance simply by opening a computer. This makes some within the Democratic Party who rely on knowledge barriers and professional qualifications for their advantage uncomfortable. More problematic is that behind AI stands a new group of wealthy individuals who possess computing power, capital, data, and platforms, rapidly gaining the ability to influence social rules. Progressive Democrats, viewing this situation, easily see a familiar picture: a few billionaires reap the benefits of technological advancement, while ordinary workers bear the costs of transformation. Therefore, the anti-AI sentiment stems from both worker protectionism and the old elite's wariness of new power; it's time to throw the milk out. So, what would happen if AI research and development really stopped? In the short term, chip orders, data center investment, and power construction would all be affected, and the valuation of the AI industry chain would need to be recalculated. In the long term, improvements in scientific research, drug development, industrial design, and corporate productivity might slow down. Stanford University's 2026 AI Index already shows that AI is entering natural science research, with over 90% of important cutting-edge models developed by industry. Stopping research and development would have far more impact than just losing a chat tool; many industries would be directly crippled. If the US stops, but China and other countries don't, the US might relinquish its talent, capital, and technological advantages. Of course, a pause doesn't mean AI will immediately disappear. Existing models can still be used, and companies can still deploy existing technologies. The most noteworthy aspect of this debate is that American society is beginning to realize that technological progress itself does not automatically solve the problem of benefit distribution. AI can make the pie bigger, but who ultimately cuts it remains a matter of power distribution, a political issue, a core issue, and the biggest problem in human societal development over the past millennia. What the Democrats may dislike isn't AI itself, but a future where a few tech giants set the rules, and everyone else can only passively accept the consequences. However, those trying to put a pause on AI must also answer another question: if others continue moving forward, are you truly willing to stop along with the rest of society?