Contrary to common political narratives, undocumented immigrants are often a net positive for government finances. They are heavily documented for tax purposes (e.g., Social Security) and pay into these systems but are less likely to draw benefits, effectively subsidizing programs for citizens and creating a highly profitable workforce.
The enormous market caps of leading AI companies can only be justified by finding trillions of dollars in efficiencies. This translates directly into a required labor destruction of roughly 10 million jobs, or 12.5% of the vulnerable workforce, suggesting market turmoil or mass unemployment is inevitable.
San Francisco's mayor is shifting the city's relationship with tech companies from passive tax collection to active partnership. He demands they engage with and support public schools, arts, and transit, framing it as a prerequisite for being "open for business," not an optional act of charity.
An emerging geopolitical threat is China weaponizing AI by flooding the market with cheap, efficient large language models (LLMs). This strategy, mirroring their historical dumping of steel, could collapse the pricing power of Western AI giants, disrupting the US economy's primary growth engine.
The global economy's dependence on AI has created a massive concentration of risk in NVIDIA. Its valuation, exceeding the entire German stock market, makes it a single point of failure. A significant drop in its stock—which could still leave it overvalued—would have catastrophic ripple effects with nowhere for capital to hide.
A recurring political pattern involves well-intentioned progressive policies being implemented without regard for practical consequences (e.g., border management). This creates a political vacuum and public frustration that the far-right exploits, leading to a severe, often cruel, overcorrection that dismantles both the flawed policy and underlying positive intentions.
History shows that transformative innovations like airlines, vaccines, and PCs, while beneficial to society, often fail to create sustained, concentrated shareholder value as they become commoditized. This suggests the massive valuations in AI may be misplaced, with the technology's benefits accruing more to users than investors in the long run.
Current AI investment patterns mirror the "round-tripping" seen in the late '90s tech bubble. For example, NVIDIA invests billions in a startup like OpenAI, which then uses that capital to purchase NVIDIA chips. This creates an illusion of demand and inflated valuations, masking the lack of real, external customer revenue.