Fed’s Waller challenges AI doom with a ‘high-wage resurgence’ path that could save the middle class
While much of the public discourse surrounding artificial intelligence centers on the eventual obsolescence of the human worker, Federal Reserve Governor Christopher Waller is offering a more nuanced; and potentially hopeful alternative. In a recent breakdown of the economic landscape, Waller moved past the binary of “utopia or apocalypse” to outline three specific paths for the U.S. economy. His analysis suggests that the “doom” narrative isn’t an inevitability, but rather one of several outcomes that depend heavily on whether AI is used to replace humans or empower them to do more.
AI as a productivity-enhancing tool rather than a worker replacement

Waller’s first, and most optimistic, scenario posits AI as a “productivity-enhancing tool.” In this version of the future, AI doesn’t take the job; it takes the drudgery, allowing workers to produce significantly more output in less time. This shift would theoretically lead to a “high-wage resurgence,” where increased efficiency translates directly into higher paychecks for the middle class. Waller notes that in this scenario, “capital and labor are complements, not substitutes,” suggesting that the more powerful the technology becomes, the more valuable the human operating it becomes.
Why capital and labor could remain complements in an automated age

The core of Waller’s optimistic argument rests on the idea that technology historically creates a “virtuous cycle.” When a tool makes a worker more efficient, the cost of their services often drops, which paradoxically increases the demand for those services. Waller argues that if AI follows the path of the personal computer or the internet, it won’t destroy the labor market; it will simply upgrade it. This “complementary” relationship is what the Fed hopes for; a future where AI acts as a sophisticated co-pilot that makes the average American worker indispensable.

Waller’s second scenario is more turbulent, describing AI as a “labor-saving” tool. This is the “middle ground” where technology does replace specific roles, leading to “short-term disruption” and a spike in unemployment. However, Waller points out that this is often the birth pains of a new economy. While the transition is painful for those displaced, the resulting efficiency gains eventually lower prices across the board, freeing up consumer capital to be spent in new sectors that don’t even exist yet.
From TikTok influencers to AI managers: How new economic roles materialize

To illustrate how the economy absorbs “displaced” workers, Waller pointed to the rise of social media. He cited the “influencer” profession as a “potent illustration of how entirely new economic roles can materialize from technological shifts.” Just as the internet created jobs that seemed like science fiction 30 years ago, Waller suggests that the AI-driven “labor-saving” path will eventually create an entirely new category of “AI-adjacent” roles, provided the workforce has the agility to pivot.
The dark alternative: A ‘jobless boom’ and a population of unemployable workers

Despite his optimism, Waller did not shy away from the “dark” scenario that has dominated recent headlines. He cautioned that if the technology evolves too quickly for humans to keep up, we could face a “jobless boom.” In this reality, the economy grows, but the gains are captured entirely by the owners of the AI. Waller warned that “it is possible that AI could lead to a large population of workers who are essentially unemployable because they do not have the skills to work with the technology and their old skills are no longer needed.
Andrew Yang warns of the rapid decline of white-collar professions

Providing a sobering counterpoint to Waller’s scenarios, entrepreneur Andrew Yang argues that the “dark” scenario is already well underway. Yang predicts what he calls the “great disemboweling of white-collar jobs,” targeting anyone who spends their day at a desk.
Unlike Waller’s more academic timeline, Yang believes the “fluency” of generative AI means that millions of roles in coding, law, and finance are currently on the chopping block, with mass layoffs likely within the next “12-18 months.”
Corporate competition and the 18-month window for mass automation

Yang’s urgency stems from the “incentive structure” of modern capitalism. He argues that corporations won’t wait for a “smooth transition” because the first company to automate its back office will have a massive competitive advantage.
Yang warns that the stock market will “reward you if you cut headcount and punish you if you don’t,” creating a race to the bottom that could see millions of white-collar workers “kicked to the curb” before the government can even draft a response.
The ripple effect on local service economies and the ‘middle-class squeeze’

The impact Yang describes isn’t contained to office buildings. He predicts a secondary collapse of local service-based economies. If the white-collar middle class disappears or stops commuting, the businesses that support them; from dry cleaners to local cafes will follow. Yang’s vision is one where the loss of “office culture” leads to a ghost-town effect in suburban and urban hubs, as the “drycleaner or a dog walker or a hairstylist” sees their customer base evaporate overnight.
Addressing the time inconsistency between economic costs and benefits

One of the most critical points Waller raised is the “time inconsistency” of technological change. The costs of AI; job loss, anxiety, and community displacement are “acutely and immediately” felt. Conversely, the benefits; lower prices, new industries, and higher GDP can take decades to fully manifest. This lag is where the danger lies; if the “pain” lasts too long without the “gain” reaching the average worker, the social fabric could tear before the “productivity miracle” ever arrives.
The growing case for Universal Basic Income

Because of the speed and severity of this shift, Yang continues to push for Universal Basic Income (UBI) as a necessary safety net. He argues that if we are entering an era of “serfs to AI overlords,” the only way to maintain a stable democracy is to provide a guaranteed floor of economic support. Yang believes that the wealth generated by the AI boom must be redistributed to “soften the blow” and ensure that people can still participate in the economy even if their traditional job has been automated away.

Ultimately, the difference between Waller’s “high-wage resurgence” and Yang’s “labor apocalypse” comes down to policy and speed. Waller emphasizes that the goal for the U.S. is to “help workers and firms adjust so that the efficiency gains translate into higher wages,” while Yang argues that the adjustment period will be too fast for traditional retraining. Whether AI saves the middle class or destroys it may depend on whether the U.S. can bridge the gap between today’s skills and tomorrow’s automated reality.
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John Dealbreuin came from a third world country to the US with only $1,000 not knowing anyone; guided by an immigrant dream. In 12 years, he achieved his retirement number.
He started Financial Freedom Countdown to help everyone think differently about their financial challenges and live their best lives. John resides in the San Francisco Bay Area enjoying nature trails and weight training.
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