The current administration's singular focus on AI has exacerbated a K-shaped recovery, hurting the average voter. To win re-election, politicians will be forced to stimulate other sectors of the economy to lift "Main Street" out of recession, making the concentrated AI/Meg7 trade less attractive moving forward.
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A rapid, significant (e.g., 5%) spike in unemployment over a short period (e.g., 6 months) due to AI would trigger an immediate and massive political and economic response. This would be comparable in speed and scale to the multi-trillion dollar stimulus packages passed during the COVID-19 pandemic.
As AI infrastructure giants become government-backed utilities, their investment appeal diminishes like banks after 2008. The next wave of value creation will come from stagnant, existing businesses that adopt AI to unlock new margins, leveraging their established brands and distribution channels rather than building new rails from scratch.
While aggregate gross investment numbers look strong due to the AI boom, this hides weakness in classic cyclical sectors like residential investment, construction, and industrial equipment. This divergence creates opportunities for trades like long tech/short energy, which capitalizes on the two-speed economy.
Recent job growth is overwhelmingly concentrated in healthcare services (83% of new NFP jobs) for an aging population. This, combined with an AI capex bubble, reveals a non-dynamic, 'K-shaped' economy where 'Main Street' stagnates and growth depends on narrow, unsustainable drivers.
The US economy is not broadly strong; its perceived strength is almost entirely driven by a massive, concentrated bet on AI. This singular focus props up markets and growth metrics, but it conceals widespread weakness in other sectors, creating a high-stakes, fragile economic situation.
Geopolitical competition with China has forced the U.S. government to treat AI development as a national security priority, similar to the Manhattan Project. This means the massive AI CapEx buildout will be implicitly backstopped to prevent an economic downturn, effectively turning the sector into a regulated utility.
By publishing an op-ed in a typically oppositional outlet, Senator Sanders is positioning AI-driven job loss as a bipartisan wedge issue. This move suggests a political strategy to make the economic impact of AI a central theme in upcoming elections, potentially starting with the 2026 U.S. midterms.
While large-cap tech props up the market, ADP employment data shows the small business sector has experienced negative job growth in six of the last seven months. This deep divergence highlights a "K-shaped" economy where monetary policy benefits large corporations at the expense of Main Street.
Most AI applications are designed to make white-collar work more productive or redundant (e.g., data collation). However, the most pressing labor shortages in advanced economies like the U.S. are in blue-collar fields like welding and electrical work, where current AI has little impact and is not being focused.
The current market boom, largely driven by AI enthusiasm, provides critical political cover for the Trump administration. An AI market downturn would severely weaken his political standing. This creates an incentive for the administration to take extraordinary measures, like using government funds to backstop private AI companies, to prevent a collapse.
