Julia Chirkova
As the relentless march of artificial intelligence and advanced robotics reshapes the global economy, a profound fiscal challenge is emerging for governments at all levels. The inevitable displacement of human labor, coupled with the concentration of wealth in the hands of those who own and develop these transformative technologies, threatens to create significant socioeconomic disparities and, critically, to erode the tax bases that fund public services. States and local governments, bearing the initial burden of worker retraining and social support, are being urged to proactively develop new revenue streams – termed "robo-taxes" – to bridge the widening fiscal gaps. This imperative arises from the seismic shifts of the Fourth Industrial Revolution, a period characterized by the rapid ascent of AI and automation, which is poised to be more disruptive to labor markets than previous technological revolutions.
The Unfolding Economic Transformation
The current wave of technological advancement, spearheaded by artificial intelligence and robotics, is accelerating at an unprecedented pace. While robotics has been a gradual force for decades, AI, particularly in its generative forms, is demonstrating a capacity to automate cognitive tasks previously thought to be exclusively human. This is leading to concerns about widespread job displacement across a range of sectors. Projections, while varied, consistently point to a significant impact on employment. One prominent estimate from an AI industrialist suggests that job losses due to AI technology, including the eventual integration of humanoid robots, could mirror the nearly 20% of the workforce that transitioned to remote work during the COVID-19 pandemic. Such a contraction in payroll income would invariably lead to a substantial decline in state income and sales tax receipts, creating a fiscal crisis for governments reliant on these revenue sources.
This phenomenon is not entirely new. The concept of "creative destruction," first articulated by economist Joseph Schumpeter in 1942, describes the process by which new innovations disrupt existing industries and economic structures. However, the speed and scope of the current transformation appear to be amplified. Even conservative estimates, such as one forecasting about 6% of the workforce, or roughly 10 million jobs, facing displacement by 2030, represent a significant economic shock. This potential job loss is projected to be one and a half times more severe than the impact of the Great Recession of 2007-09, a period that severely strained state and municipal budgets and pension funds.
The immediate consequences of this shift are likely to be felt by college graduates entering the workforce. The entry-level white-collar positions, often the first rung on the career ladder for this demographic, are precisely the roles most susceptible to automation by AI agents. This could lead to increased competition for fewer entry-level roles, potentially extending the "boomerang generation" phenomenon of young adults returning to live with parents, and placing additional strain on parental resources. Furthermore, older workers in industries undergoing rapid automation may face involuntary early retirement, adding another layer of complexity to social support systems.
Crucially, robots and AI systems do not pay income, payroll, or sales taxes. Similarly, the unemployed will cease contributing to social insurance programs like Social Security and Medicare. This fundamental shift from labor-based revenue generation to capital-based profitability creates an inevitable deficit for governmental budgets. While proponents of technological advancement often point to the emergence of new industries and jobs as a natural consequence, the timeline for such a transition and its ability to offset immediate revenue losses remain uncertain. The recent surge in the stock price of a company announcing plans to replace half its workforce with AI serves as a stark illustration of this trend: profits are being generated through labor reduction, with little immediate fiscal return to the public coffers.
The Imperative for "Robo-Taxes" and Revenue Innovation
The core challenge for state and local governments is to identify and implement effective revenue-raising structures that can compensate for the declining income and payroll tax revenues. The author proposes the concept of "robo-taxes" – a broad category of fiscal measures designed to capture a portion of the wealth generated by AI and robotics. These taxes are intended to bridge the fiscal gaps created by technological unemployment and the shift of economic gains from labor to capital.
The potential for significant revenue generation lies in taxing the "users" of high-tech systems and, more importantly, the returns on capital increasingly invested in AI and robotics. This revenue is deemed essential not only for sustaining the safety net for displaced workers but also for funding the inevitable aftermath of this economic transition. This includes increased costs for retraining programs, expanded social services, and income assistance for those who lose their jobs.
A Strategic Window for State and Local Action
In the race to secure new revenue streams, states and municipalities may possess a strategic advantage over the federal government. The current federal political climate, characterized by a commitment to lower taxes for businesses, suggests a reluctance to enact significant new tax measures in the near term. This creates a potential window of opportunity for state legislatures and local governments to act as "first movers" in capturing revenues from the burgeoning high-tech sector.
To capitalize on this, states and municipalities must begin by scrutinizing and reforming existing tax loopholes and exemptions that allow AI and robotics industries to avoid taxation on their products and services. For instance, business-to-business exemptions on sales and use taxes may need revision to encompass transactions involving these disruptive technologies. Furthermore, property assessments for manufacturing plants and equipment should consider their beneficial economic value, reflecting their enhanced profitability through labor cost reduction, rather than solely their acquisition or construction costs. This may necessitate both state-level legislative action and changes in local assessment practices.
The taxation of emerging industries like robotaxis also requires immediate attention. As these services replace human drivers, profits often flow to fleet owners and licensees located outside the jurisdiction of service. A uniform approach to taxing taxi fares and implementing robo-operating license fees at the state level is crucial. Without such standardization, a patchwork of municipal taxes could create an unmanageable burden and lead to a race to the bottom. Similar tax policies will be required as self-driving trucks become more prevalent, with due consideration for the constitutional implications of interstate commerce.
The pervasive advertising-supported business model of the AI industry presents another significant revenue opportunity. States could explore levying an advertising excise tax on AI service providers that target users within their jurisdictions. This could be conceptualized as a tax on consumer "clicks" and could extend to other digital promoters and "influencers." While such digital ad taxes have faced legal challenges, as exemplified by litigation against Maryland’s pioneering tax, the potential revenue yield makes them a compelling option. As the infamous bank robber Willie Sutton once quipped, "That’s where the money is."
However, it is recognized that these individual revenue-raising measures, while important, are unlikely to be sufficient on their own. The cumulative impact of AI and automation on government finances will likely necessitate more substantial tax rate increases on the benefiting industries. A combined tax effort across federal, state, and local levels could aim to capture 20 to 25 percent of the incremental revenues generated by these disruptive sectors. Achieving this level of taxation will be a multi-year endeavor and may not be swift enough to address immediate fiscal pressures.
The Role of Big Business and Federal Coordination
While states are positioned to act quickly, federal coordination is ultimately necessary to standardize tax treatment and prevent "venue-shopping" by industrialists seeking lower tax burdens. The current federal tax code, with its preferential rates on capital gains and accelerated depreciation provisions, exacerbates the revenue shortfall. For example, federal taxes on income from capital are capped at 20% or less, a rate that falls short of replacing lost employee and employer FICA payroll taxes and the higher marginal rates on earned income.
The author draws a parallel to the historical practice of "plucking the goose" – extracting revenue with minimal resistance, as advocated by French finance minister Jean-Baptiste Colbert in the 17th century. This art of taxation will be crucial in navigating the complexities of taxing the profits derived from automation.
Significant "goose-plucking" will likely need to begin at the federal level. States, while capable of implementing some measures, are ill-equipped to enact wealth taxes on investment elites, as these individuals and their businesses can easily relocate to lower-tax jurisdictions. Ultimately, Congress may be compelled to implement higher federal investment income taxes or alternative minimum taxes, potentially reverting corporate profit tax rates to pre-Trump era levels. Such measures are likely to face considerable lobbying resistance from the tech industry unless widespread unemployment becomes a dominant national issue.
In the interim, states may have no choice but to impose excise taxes on the sales and use of robotic devices by businesses and households. This might require legislative supermajorities or even voter approval in some municipalities. However, these state-level taxes should ideally have sunset provisions, compelling a reassessment of their necessity in light of potential comprehensive federal tax reforms shared with the states.
Beyond taxation, states have a critical role in enacting workplace laws that require employers displacing workers with new technologies to provide advance notice, extended severance benefits, and financial assistance for retraining. Such mandates, potentially driven by future workforce backlash, can mitigate the hardship faced by displaced individuals and also contribute to a more stable economic transition, indirectly supporting government revenues.
Public Finance Leadership in a Rapidly Evolving Landscape
The pace of technological change is outstripping the development of political awareness and legislative processes, particularly in the realm of taxation. This presents an immediate and significant challenge to the public finance community. Leaders of national professional and policy associations must urgently develop viable strategies and draft model legislative provisions to address the imminent funding challenges and potential crises that lie ahead, even before 2030. This includes establishing a taxonomy of revenue options, analyzing their pros and cons, and recommending those most suitable for state legislation.
Furthermore, the public finance community, especially its academic wing, needs to create a roadmap for universities and community colleges. This roadmap should guide the development of symposia and curricula focused on the shifting labor markets, forecasting future job openings, and designing skills-based courses to bridge the emerging skills gap. A proactive stance from financial professionals can help galvanize academic institutions and alert state legislators to the urgent need for swift action by public institutions.
While precise figures for the new taxation framework required by the Fourth Industrial Revolution remain elusive, tax policy experts and fiscal professionals must begin mapping out strategies, sensible policy frameworks, and actionable agendas now. The time for deliberation is limited, and the fiscal consequences of inaction could be severe. The transition to an economy increasingly driven by AI and robotics demands a proactive and innovative approach to public finance, ensuring that the benefits of technological progress are shared broadly and that the essential functions of government can be sustained.
