Tag Archives: social contracts

The AI New Deal

Another AI Soft Landing Scenario Exploration — Government as the Employer of First Resort

LAST UPDATED: May 2, 2026 at 5:33 PM

The AI New Deal

by Braden Kelley and Art Inteligencia


The Structural Gap: Why Process Automation Requires a Civic Pivot

As we navigate the accelerating displacement of cognitive and administrative labor, the conversation around the “AI soft landing” has reached a critical juncture. In my previous explorations, I’ve examined how our future might mirror the extreme wealth gaps of Victorian England and how we might witness a Human Premium Renaissance, where uniquely human traits become our most valuable currency.

However, a significant structural link is missing. While AI is exceptionally efficient at automating process, it is incapable of automating presence. This creates a dangerous void: as middle-class administrative roles evaporate, we risk losing the economic liquidity and social cohesion that sustain our communities.

The prevailing solution often discussed is Universal Basic Income (UBI). But as I have argued, UBI is a fiscal mirage — a passive mechanism that fails to account for the human need for agency and the staggering mathematical reality of devalued tax bases. We don’t need a handout; we need a Civic Dividend. We must move from a scarcity mindset focused on protecting obsolete jobs to an abundance mindset that funds the essential work we have historically neglected. This is the foundation of the AI New Deal: positioning the government as the Employer of First Resort.

The Fiscal and Psychological Mirage of UBI

Universal Basic Income (UBI) is often presented as the “silver bullet” for the AI age, but a closer look at the mechanics reveals it to be a flawed tool for a human-centered transition. From a design perspective, UBI solves for survival but fails to solve for contribution.

First, we must confront the Math Problem. Funding a meaningful UBI requires a robust and consistent tax base. However, as AI drives down the cost of labor toward zero, the income tax pool — the traditional engine of government revenue — shrinks alongside it. Relying on passive redistribution in a devalued labor market is a race to the bottom that risks a permanent “subsistence trap” for the majority of the population.

Second, there is the Agency Problem. Innovation thrives on human agency — the ability to act, create, and impact one’s environment. UBI provides a safety net but offers no platform for growth. By decoupling income from contribution, we risk creating a “useless class” not because humans lack value, but because we have failed to design systems that utilize their unique “Human Premium.”

Finally, we must consider the Inflation Trap. Without a mechanism to ensure the circulation of capital through local, human-to-human services, stagnant UBI payments are easily consumed by the rising costs of private-sector essentials. To achieve a soft landing, we need a dynamic model that prioritizes the Velocity of Money over the mere distribution of funds.

The Core Concept: The Civic Dividend

To bridge the gap between AI-driven efficiency and human necessity, we must introduce the Civic Dividend. This is not a social safety net designed for the desperate; it is a strategic economic platform designed for a high-functioning society. At its heart is a fundamental shift in the social contract: the Government as the Employer of First Resort.

In this model, the government doesn’t just step in when the private market fails; it proactively identifies and funds the “work that matters” — the essential maintenance of our physical, social, and cultural existence. These are the roles that require empathy, physical dexterity, and contextual judgment — capabilities that remain firmly in the human domain.

The Civic Dividend operates on the principle that human labor is a public asset. By offering potential employment in public works, care networks, and community resilience projects, the state ensures that most citizens have the opportunity to contribute. This creates a “Social Floor” of activity and income that is immune to algorithmic displacement.

Crucially, this work is not “make-work” intended to keep hands busy. It is the vital labor required to repair our crumbling infrastructure, support our aging population, and revitalize our neighborhoods. Unlike a handout, these wages are earned, providing the dignity of contribution while fueling the Velocity of Money. As these wages are spent at local bakeries, barbershops, and bookstores, they sustain a secondary human-to-human service economy that AI simply cannot replicate.

Three Pillars of AI New Deal

The Three Pillars of the AI New Deal

The success of the AI New Deal rests on a strategic focus on the “Un-automatable.” We must direct our collective energy toward three specific domains where human presence, judgment, and physical interaction are not just preferred, but essential for a thriving society.

Pillar 1: Physical and Digital Infrastructure

We are currently witnessing a “Tragedy of the Commons” in our physical world. Our bridges, transit systems, and power grids require more than just algorithmic optimization; they require physical intervention. The AI New Deal would mobilize a modern workforce to focus on Community Resilience — retrofitting cities for climate adaptation, urban “rewilding” to restore local ecosystems, and maintaining the physical nodes that allow our digital world to function. This work creates a tangible, high-quality public environment that serves as a shared wealth for all citizens.

Pillar 2: The Social and Care Fabric

As we automate cognitive tasks, the “Human Premium” in care becomes our most valuable asset. We are facing a global loneliness epidemic and an aging demographic that requires empathy, companionship, and nuanced psychological support. By professionalizing and scaling roles in elder care, mental health mentorship, and early childhood development, we transform these from marginalized sectors into the prestigious cornerstones of our new economy. These are roles where the goal is not “efficiency” (doing more with less time), but “effectiveness” (the quality of the human connection).

Pillar 3: Community Vitality and Cultural Resilience

In an era of AI-generated noise, local culture and verified information are at risk of erosion. The AI New Deal funds the “Civic Architects” — the local journalists, community theater directors, and public artists who document and celebrate the unique identity of a place. This pillar ensures that while our tools become more global and algorithmic, our lived experiences remain local, vibrant, and distinctly human. We aren’t just building roads; we are building the social connective tissue that prevents the isolation often triggered by rapid technological shifts.

Economic Mechanics: The Velocity of Human Connection

Economic Mechanics: The Velocity of Human Connection

The fiscal engine of the AI New Deal is built on a fundamental economic principle: the Velocity of Money. In a hyper-automated private sector, capital tends to pool at the top, concentrating in the hands of those who own the compute and the algorithms. Without a mechanism to pull that capital back into the hands of the many, the local economy — the shops, services, and neighborhood hubs — withers.

The Civic Dividend solves this by creating a continuous loop of circulation. When the government pays a living wage to a community health worker or a local infrastructure specialist, that income doesn’t sit idle. It is immediately recycled into the Human-to-Human (H2H) service economy. This worker buys bread from a local baker, gets a haircut from a neighborhood barber, and visits a local gym. These secondary businesses thrive precisely because their customers have earned, discretionary income to spend.

To fund this transition, we must look toward Automation Royalties or “Compute Taxes.” Rather than taxing labor — which AI is making artificially cheap — we shift the tax burden to the high-margin output of automated systems. This creates a sustainable cycle: the efficiency of AI funds the resilience of the human community.

Furthermore, the AI New Deal acts as a natural Inflation Buffer. By investing in public housing maintenance, efficient public transit, and community-led food resilience, we lower the “floor” of the cost of living. This ensures that the wages provided by the Civic Dividend maintain high purchasing power, shielding the population from the volatility of a purely algorithmic private market.

Addressing the Critics: Efficiency vs. Resilience

Critics often argue that government-led employment is inherently “inefficient” compared to the lean, optimized nature of the private sector. From the perspective of human-centered innovation, this critique misses the mark because it uses the wrong metric for success. In an AI-dominated age, social resilience is a far more valuable outcome than marginal efficiency.

The private sector’s drive for efficiency is exactly what is displacing workers. If we allow that same logic to dictate our social response, we end up with a society that is “optimized” into instability. The AI New Deal isn’t about competing with AI on speed or cost; it is about providing the stability that the private market, by its very nature, cannot offer. We are designing for systemic health, not just quarterly throughput.

Another common concern is the fear of “make-work” or a lack of individual choice. However, the AI New Deal is designed as a platform, not a cage. By providing a guaranteed social floor of meaningful work, we actually increase career mobility. When a citizen’s basic survival and dignity are secured through the Civic Dividend, they are more — not less — likely to take risks, launch their own H2H small businesses, or pursue creative endeavors in the Human Premium Renaissance.

Finally, we must recognize that this is a choice of design. We can choose to view displaced workers as a “surplus” to be managed, or we can view them as a massive, untapped reserve of human talent ready to be deployed toward the public good. The “inefficiency” of paying a human to do what an algorithm could do is only an inefficiency if you ignore the catastrophic social cost of a disengaged, impoverished populace.

AI New Deal: Designing a New Social Contract

Conclusion: Designing a New Social Contract

We stand at a unique design crossroads in human history. The rapid advancement of artificial intelligence has presented us with a fundamental choice: do we design a future of automated irrelevance, where a vast majority of the population subsists on a dwindling digital handout, or do we design a future of civic abundance?

The AI New Deal is more than an economic policy; it is a reaffirmation of the value of human contribution. It recognizes that while technology can manage our systems, only humans can care for our communities, preserve our culture, and maintain our physical world. By moving toward a model of the Government as the Employer of First Resort, we ensure that the wealth generated by the AI revolution is directly reinvested into the human experience.

This “soft landing” requires us to be bold. We must stop asking how we will survive without the jobs of the past and start asking what kind of world we could build if we finally had the resources and the hands to do it. The Civic Dividend offers a path where technology does the “tasks” so that humans can finally do the “work” of being human—creating a society that is not just more efficient, but more resilient, more connected, and more purposeful.

The tools are in our hands, and the need is all around us. Now, we simply need the courage to sign a new contract with ourselves and build the future we actually want to live in.


Braden Kelley is a leading futurist and trusted voice in human-centered innovation and change. Stay tuned for next week’s next installment in this series on the AI Soft Landing.

Frequently Asked Questions

How is the AI New Deal different from Universal Basic Income (UBI)?

While UBI provides a passive payment regardless of activity, the AI New Deal is a “Civic Dividend” based on active contribution. It positions the government as the Employer of First Resort, paying living wages for essential public work — such as infrastructure maintenance and care services — rather than providing a handout that lacks a connection to social agency or the local service economy.

How can the government afford to become the ‘Employer of First Resort’?

The funding shifts from taxing human labor to taxing the high-margin output of automated systems, often referred to as “Automation Royalties” or “Compute Taxes.” By capturing the wealth generated by AI-driven efficiency, the state can reinvest that capital into the Human-to-Human (H2H) economy, ensuring currency continues to circulate through physical communities.

Does this mean the government is creating ‘make-work’ just to keep people busy?

No. The AI New Deal focuses on the “Un-automatable” — high-value needs that are currently neglected, such as climate resilience, elder care, and mental health support. These are not arbitrary tasks; they are the essential services required for a functional, healthy society that AI cannot perform because they require human empathy, physical presence, and contextual judgment.

EDITOR’S NOTE: This is a visualization of but one possible future. I will be publishing other possible futures as they crystallize in my mind (or as you suggest them for me to explore).

Image credits: Google Gemini

Content Authenticity Statement: The topic area, key elements to focus on, etc. were decisions made by Braden Kelley, with a little help from Google Gemini to clean up the article, add images and create infographics.

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The Consumption Collapse – When the Feedback Loop Bites Back

Why the Great American Contraction is leading to a crisis of demand and a re-imagining of the American Social Contract.

LAST UPDATED: April 17, 2026 at 3:58 PM

The Consumption Collapse - When the Feedback Loop Bites Back

GUEST POST from Art Inteligencia


The Ghost in the Shopping Mall

In our previous exploration, The Great American Contraction,” we identified a fundamental shift in the American story. For the first time in our history, the foundational assumption of “more” — more people, more labor, and more expansion — has been inverted. We discussed how the exponential rise of AI and robotics is dismantling the traditional value chain of human labor, moving us from a nation of “doers” to a necessary, albeit smaller, elite class of “architects.”

However, as we move closer to the two-year horizon of the next United States Presidential election, a more insidious shadow is beginning to fall across the landscape. It is no longer just a crisis of employment; it has evolved into a crisis of consumption. This is the “Feedback Loop of Irrelevance.”

The logic is as cold as the algorithms driving it: As increasing numbers of knowledge workers and service providers are displaced by autonomous agents, their disposable income evaporates. When people lose their financial footing, they spend less. When they spend less, the revenue of the very companies that automated them begins to shrink. To protect their margins in a declining market, these companies are forced to cut back even further — often doubling down on automation to reduce costs — which in turn removes more consumers from the marketplace.

We are witnessing the birth of a deflationary death spiral where corporate efficiency threatens to cannibalize the very markets it was designed to serve. Over the next 24 months, this cycle will redefine the American psyche and set the stage for an election year unlike any we have ever seen.

It is time to look beyond the immediate shock of job loss and examine the structural integrity of our economic operating system. If the “Old Equation” of labor-for-income is a sinking ship, we must decide what happens to the passengers before we reach the horizon of 2028.

The Vicious Cycle of Automated Austerity

The transition from a growth-based economy to a Great Contraction is not a linear event; it is a recursive loop. As AI adoption accelerates, we are witnessing a phenomenon I call “Automated Austerity.” This is the process where short-term corporate gains from labor reduction lead directly to long-term market erosion. The cycle progresses through four distinct, overlapping phases:

Phase 1: The First Wave Displacement

We are currently seeing the replacement of both low-skilled physical labor and high-skilled knowledge work by autonomous systems. This isn’t just about factory floors; it’s about the “Architect” roles we once thought were safe. As companies replace $150k-a-year analysts with $15-a-month compute tokens, the immediate impact is a massive surge in corporate profit margins.

Phase 2: The Wallet Effect

The friction begins here. Displaced workers initially rely on savings or severance, but as those dry up, the “gig economy” safety net is nowhere to be found — because AI is already performing the freelance writing, coding, and administrative tasks that used to provide a bridge. Disposable income doesn’t just dip; for a significant percentage of the population, it vanishes. This causes a sharp contraction in discretionary spending.

Phase 3: The Revenue Mirage

This is the trap. Companies that automated to save money suddenly find their top-line revenue shrinking because their customers (the former workers) can no longer afford their products. The efficiency gains are real, but the market size is artificial. We are entering a period where companies may be 100% efficient at producing goods that 0% of the displaced population can buy.

Phase 4: The Secondary Contraction

Faced with shrinking revenues, boards of directors demand even deeper cost-cutting to protect investor dividends. This leads to a second, more desperate wave of layoffs, further reducing the tax base and consumer spending power. This feedback loop creates a Deflationary Death Spiral that traditional monetary policy is ill-equipped to handle.

“When you automate the consumer out of a job, you eventually automate the business out of a customer.” — Braden Kelley

Over the next two years, this cycle will move from the periphery of Silicon Valley to the heart of every American household, forcing a radical re-evaluation of how we distribute the abundance that AI creates.

Vicious Cycle of Automated Austerity

The Two-Year Horizon: 2026–2028

As we navigate the next twenty-four months, the gap between traditional economic indicators and the lived reality of American citizens will become a canyon. We are entering a period of Economic Bifurcation, where the distance between those who own the “compute” and those who formerly provided the “labor” creates a new social stratification.

The Rise of the ‘Hollow’ Recovery

Expect to hear the term “efficiency-led growth” frequently in the coming months. Wall Street may remain buoyant as AI-integrated corporations report record-breaking margins per employee. However, this is a hollow success. While the stock market reflects corporate optimization, our Alternative Economic Health Measures—like the Genuine Progress Indicator (GPI) — will likely show a steep decline. We are becoming a nation that is technically “wealthier” while the average citizen’s ability to participate in that wealth is structurally dismantled.

The Shift from ‘Doer’ to ‘Architect’ Burnout

The “Great American Contraction” is not just about those losing roles; it is about the immense pressure on those who remain. The survivors — the Architect Class — are tasked with managing sprawling AI ecosystems. This creates a new kind of cognitive load. By 2027, I predict we will see a peak in “Technological Burnout,” where the speed of AI-driven change outpaces the human capacity to design for it. This is where Human-Centered Innovation becomes a survival skill rather than a corporate luxury.

The Mindset of Survivalist Innovation

As the feedback loop of shrinking revenue intensifies, we will see American citizens taking radical actions to decouple from a failing labor market. This includes:

  • Hyper-Localization: A resurgence in local bartering and community-based resource sharing as a hedge against the volatility of the automated economy.
  • The ‘Off-Grid’ Digital Economy: Individuals utilizing open-source AI models to create value outside of the traditional corporate gatekeepers, leading to a “shadow economy” of peer-to-peer services.
  • Consumption Sabotage: A psychological shift where citizens, feeling irrelevant to the economy, consciously reduce their consumption to the bare essentials, further accelerating the contraction.

This period will be defined by a search for meaning in a post-labor world. The American citizen of 2027 is no longer asking “How do I get ahead?” but rather “How do I remain relevant in a world that no longer requires my effort to function?”

The Survivalist Innovation Framework

Beyond GDP: New Vitals for a Contracting Economy

As the “Old Equation” fails, the metrics we use to measure national success are becoming dangerously obsolete. In a world where AI can drive productivity while simultaneously hollowing out the consumer class, GDP is no longer a compass; it is a rearview mirror. To navigate the next two years, we must shift our focus to alternative economic health measures that prioritize human vitality over transactional velocity.

1. The Genuine Progress Indicator (GPI)

Unlike GDP, which counts the “cost of cleaning up a disaster” as a positive, the GPI factors in income inequality and the social costs of underemployment. As we move toward 2028, we must demand a GPI-centered view of the economy. If AI-driven efficiency creates wealth but destroys the social capital of our communities, the GPI will show we are regressing, providing a much-needed reality check to “hollow” stock market gains.

2. The U-7 ‘Utility’ Rate

Standard unemployment figures (U-3) are increasingly irrelevant. We need a U-7 ‘Utility’ Rate to track those who are “technologically displaced”—individuals whose roles have been absorbed by algorithms or whose wages have been suppressed to the point of working poverty. This metric will highlight the Architect Gap: the growing number of people who have the capacity for high-value human contribution but lack access to the compute resources required to compete.

3. The Social Progress Index (SPI)

The goal of an automated economy should be to improve the human condition. The SPI measures outcomes that actually matter: Access to advanced education, personal freedom, and environmental quality. By 2027, the SPI will be the most honest indicator of whether the Great Contraction is a managed transition to a better life or a chaotic collapse of the middle class.

4. Value of Organizational Learning Technologies (VOLT)

We must begin measuring the “Agility Score” of our nation. VOLT measures how effectively we are using AI to solve complex problems rather than just replacing workers. A high VOLT score paired with a low SPI suggests we are building a “learning machine” that has forgotten its purpose: to serve the humans who created it.

“A high-GDP nation with a crashing Social Progress Index(SPI) is merely a failed state in a gold tuxedo.”

The political battleground of the next two years will be defined by a new set of metrics similar to these (but likely different). The 2028 election will not just be a choice between candidates, but a choice between maintaining the illusion of growth or designing a system of sovereignty for the American citizen.

The Localized Pivot

The Sovereign Tech-Stack & The Localized Pivot

As the “Feedback Loop of Irrelevance” continues to shrink traditional income, we are witnessing a radical grassroots response: The Localized Pivot. When the macro-economy fails to provide value to the individual, the individual stops providing value to the macro-economy and turns inward to their community.

The Rise of the ‘Personal AI’ Infrastructure

By 2027, the barrier to entry for sophisticated production will vanish. We will see a surge in “Sovereign Tech-Stacks” — individuals and small collectives using localized, open-source AI models to run micro-manufactories, automated vertical farms, and peer-to-peer service networks. This is Innovation as a Survival Tactic. These citizens are essentially “unplugging” from the hollowed-out corporate ecosystem and creating a shadow economy that traditional GDP cannot track.

From Global Chains to Hyper-Local Resilience

The contraction of consumer spending will lead to the death of the “long supply chain” for many goods. In its place, we will see the rise of Regional Circular Economies. AI will be used not to maximize global profit, but to optimize local resource sharing. Imagine community AI agents that manage local energy grids or coordinate the bartering of skills — human-centered design at its most fundamental level.

The ‘Architect’ of the Commons

In this phase, the “Architect” role I’ve discussed previously becomes a civic one. These are the individuals who design the systems that keep their communities thriving while the national revenue shrinks. They are the ones building the Human-Centered Guardrails that ensure technology serves the neighborhood, not the shareholder. This shift represents a move from Global Consumerism to Local Sovereignty.

“When the national economic engine stops fueling the household, the household must build its own engine, or it dies.” — Braden Kelley

This localized movement will be the wild card of 2028. It creates a class of “Un-Architected” citizens who are no longer dependent on the federal government or major corporations, creating a profound tension for any political candidate trying to promise a return to the ‘Old Equation’.

The Road to 2028: The Politics of Human Relevance

As we approach the next Presidential election, the political discourse will undergo a seismic shift. The traditional “Left vs. Right” battle lines over tax rates and social issues will be superseded by a more existential debate: The Individual vs. The Algorithm. The 2028 election will likely be the first in history centered entirely on the consequences of a post-labor economy.

The ‘Humanity First’ Tax and Sovereign Solvency

The most contentious issue will be how to fund a shrinking state as the labor-based tax system collapses. We will see the rise of the “Compute Tax” — a proposal to tax AI tokens and robotic output rather than human hours. This isn’t just about revenue; it’s about sovereign solvency. When companies reinvest profits into compute rather than wages, the “Economic OS” crashes. Expect candidates to run on a platform of Universal Basic Everything (UBE) — providing the results of automation (healthcare, housing, and energy) directly to the people as the tax base from labor vanishes.

The Compute Tax

The Death of Traditional Immigration Debates

As I noted in our initial look at the Contraction, the old argument about immigrants “taking jobs” or “filling gaps” is dead. In 2028, the focus will shift to “Strategic Talent Acquisition.” The debate will center on how to attract the world’s few remaining irreplaceable “Architect” minds while managing a domestic population that is increasingly surplus to the needs of capital. This will create a strange political alliance between protectionists and humanists, both seeking to shield human value from digital devaluation.

Mindset and Likely Actions of the Citizenry

By the time voters head to the polls, the American mindset will have shifted from aspiration to preservation. We are likely to see:

  • The Rise of ‘Neo-Luddite’ Activism: Not a rejection of technology, but a demand for “Human-Centered Guardrails” that prevent AI from cannibalizing the last remaining sectors of human connection.
  • The Search for Non-Monetary Meaning: A surge in candidates who focus on “Quality of Life” metrics rather than fiscal growth, appealing to a class of people who no longer derive their identity from their “job.”
  • Algorithmic Populism: Politicians using AI to personalize fear and hope at scale, creating a feedback loop where the technology used to displace the worker is also used to win their vote.

The central question of the 2028 election will be simple but devastating: “What is a country for, if not to support the thriving of its people — even when those people are no longer ‘productive’ in a traditional sense?” The winner will be the one who can design a new social contract for a smaller, more resilient, and truly innovative nation.

Conclusion: Designing a Thrivable Contraction

The Great American Contraction is no longer a theoretical “what-if” for futurists to debate; it is an active restructuring of our reality. As the feedback loop of automated austerity begins to bite, we are discovering that a country built on the relentless pursuit of “more” is fundamentally ill-equipped to handle the arrival of “enough.”

The next two years will be a period of intense friction as our legacy systems — our tax codes, our education models, and our social safety nets — grind against the frictionless efficiency of the AI era. We will see traditional economic metrics fail to capture the quiet struggle of the consumer, and we will watch as the 2028 election turns into a referendum on the value of a human being in a post-labor world.

But contraction does not have to mean collapse. If we shift our focus from transactional velocity to human vitality, we have the opportunity to design a new version of the American Dream. This new dream isn’t about the quantity of jobs we can protect from the machines, but the quality of the lives we can build with the abundance those machines create. It is about moving from a nation of “doers” who are exhausted by the grind to a nation of “architects” who are inspired by the possible.

“The goal of innovation was never to replace the human; it was to release the human. We are finally being forced to decide what we want to be released to do.” — Braden Kelley

The road to 2028 will be defined by whether we choose to cling to the wreckage of the growth-based model or whether we have the courage to embrace a smaller, smarter, and more human-centered future. The contraction is inevitable, but the outcome is ours to design.

STAY TUNED: On Tuesday my friend Braden Kelley (with a little help from me) is publishing an article featuring one hypothesis for what an AI SOFT LANDING might look like.

Image credits: Google Gemini

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