Artificial intelligence (AI) is emerging as a pivotal force in the U.S. economy, fundamentally altering business operations and sparking extensive debate among policymakers and economists. Its influence spans from enabling rapid startup development to prompting a reevaluation of national productivity and labor market dynamics.
AI Accelerates Entrepreneurial Ventures
The journey of Here Now Health, a mental health platform for foster children, exemplifies AI's capacity to expedite business creation. Founder Michelle Turner, operating from Virginia Beach, leveraged AI tools to navigate startup culture, formulate a business plan, and refine investor presentations. This technological assistance was crucial for the company, which launched in January 2025, now employs 16 individuals, and holds certifications in three states to provide Medicaid-funded counseling. Turner highlighted AI's role as a "startup advisor," likening it to daily master's level instruction, particularly valuable for a first-time, sole female founder without a traditional MBA background.
John Bailey, a nonresident senior fellow at the American Enterprise Institute and an advisor to one of Here Now Health's investors, notes that AI is making previously time-consuming or costly entrepreneurial tasks nearly free. He observes that AI empowers entrepreneurs to scale operations and hire staff more rapidly, benefiting traditional service-oriented companies rather than exclusively AI-focused businesses.
Torsten Slok, chief economist at Apollo Global Management, attributes a recent increase in new business formations to AI, citing its ability to significantly reduce the cost and complexity associated with launching a company. He anticipates that as these firms expand, they will contribute to job creation.
Federal Reserve Examines AI's Macroeconomic Implications
The swift rise and widespread adoption of AI have become a defining characteristic of the U.S. economy, drawing significant attention from Federal Reserve officials. They are actively studying AI's potential to reshape productivity, economic growth, inflation, and labor demand. A panel launched by new Chairman Kevin Warsh is specifically dedicated to examining AI and its implications for productivity, which could allow for faster economic growth with reduced inflation, but also potentially decrease the number of workers needed for a given output.
Federal Reserve officials have considered the prospect of an AI-driven economy with structurally higher unemployment. Other analysts have pointed to a consistent decline in labor's share of national income, questioning whether increased returns to capital are also a feature of the AI future, raising social and political concerns regarding wealth distribution.
Jean Boivin, head of the BlackRock Investment Institute, described the market's current state as a confrontation between "dramatically different competing narratives," framing it as "scarcity versus abundance." He noted that the immediate AI investment boom is driving up costs and capital demand, representing "scarcity." However, he also emphasized the potential for AI to lead to "significant breakthroughs" and growth that could exceed a typical 2% world, representing "abundance."
Debate on AI's Impact on the Labor Market
Public discourse frequently centers on AI's potential for job disruption, with some tech industry layoffs attributed to its influence and evidence suggesting firms are reducing back-office and clerical employment. However, Bailey believes the AI economy will primarily transform and rearrange jobs rather than eliminate them, echoing patterns seen in previous technological advancements.
Richmond Fed President Thomas Barkin acknowledges the employment risks posed by AI but also highlights reports from firms indicating that AI is alleviating worker shortages in certain skilled occupations, thereby boosting supply. While recognizing the "rust-belt risk" for some white-collar professions, Barkin notes that many sectors, such as auto repair and manufacturing, still face worker shortages and are using AI to enhance the productivity of their existing workforce.
The transition, however, may present challenges. The globalization of trade in the 1990s significantly impacted U.S. manufacturing, and programs designed to transition workers were largely ineffective. This led to narrowed opportunities in some regions, contributing to political shifts and increased "deaths of despair."
A recent study by The Brookings Institution and Opportunity@Work warned of a similar shock for clerical, administrative, and other workers, particularly those without college degrees who rely on work experience for career progression. The research identified approximately 23 million individuals whose next career step was into roles highly susceptible to AI replacement, potentially stranding them in lower-paying positions. Such disruptions could disproportionately affect workers' ability to advance to higher-wage employment, with regional impacts concentrated in Florida, the Northeast, Texas, and California—areas with a high prevalence of work vulnerable to AI disruption, differing from the geographic spread of earlier manufacturing declines.
Long-Term Outlook and Disruption
For the Federal Reserve, both the outcome and the pace of the AI transition are critical, as short-term effects may differ significantly from long-term results, when the extent of a potential productivity boom will become clearer. Kevin Warsh characterized AI as the most significant economic change in his adult lifetime, expressing optimism that the U.S. will ultimately benefit. However, he cautioned that this progress will inevitably involve disruption.
