Appendix A · Projection Study · Published 2026.04

Two Futures.

The same economic disruption. Two different policy responses. Drag the timeline below to watch them diverge.

These are scenario projections, not point predictions. Starting conditions are current U.S. macro data; trajectories extend the structural arguments published in The Great AI Implosion. Specific annual values are illustrative; the shape of the divergence is the claim.

Where we start

The United States, 2026. Two hundred sixty million adults, sharing the starting conditions both scenarios begin from.

Median household income $83K Real terms, 2024 dollars. Took 19 years to break the 2000 peak. 1984 · $60K2000 · $72K2024 · $84K
Labor share of national income 55% Down from 65% in 1970. Sharp drop after 2000. 1947 · 66%2000 · 63%2024 · 55%
Top 1% wealth share 38% Up from 23% in 1978 (post-war low). Saez-Zucman estimate. 1950 · 30%1978 · 23%2018 · 38%
Homeownership rate 66% Down from 69% peak in 2004. 1950 · 55%2004 · 69%2024 · 66%

Collapses we have seen before

The projection in Section III is not hypothetical in shape. Three prior labor-market collapses anchor it. Each produced the same core pattern — mass displacement, wage compression, wealth concentration. Each received a different policy response. The differences should be studied.

1934 — ongoing

The Railroad Retirement Era

A dedicated response to industry collapse that worked.

~500,000 beneficiaries today, ninety years in
$27B in Railroad Retirement Trust assets
1970 Penn Central — then the largest US bankruptcy

The Great Depression destroyed rail worker pensions along with the carriers. Congress responded in 1934 with a dedicated federal pension system — the Railroad Retirement Board — still administered independently of Social Security nine decades later. When Penn Central collapsed in 1970 (then the largest bankruptcy in American history, a distinction it held until WorldCom), Congress extended the pattern with Amtrak in 1971 and Conrail in 1976, maintaining worker protections through the industry restructuring.

Result for workers Protected pensions, transition bridged. Rail workers retained retirement standing through multiple industry collapses across nine decades.
1999 — 2011

The China Shock

Documented twenty-year damage from a slow-moving displacement.

~2.4M US manufacturing jobs displaced
5.8M manufacturing workers lost jobs, 2000–2010
20+ yr persistent wage depression, affected counties

Chinese import competition displaced an estimated 2.4 million U.S. manufacturing workers, concentrated in Rust Belt commuting zones. Federal response was Trade Adjustment Assistance — a program in place since 1974, with documented effectiveness at the margins only. Autor, Dorn, and Hanson's research shows wage depression spreading from manufacturing into local service sectors and persisting twenty years later. Case and Deaton's "deaths of despair" mortality data tracks the geography of exposure.

Result for workers No dedicated response at scale. Displacement still visible in wage and mortality data decades later. The cascade pattern projected in Section III is this pattern.
2000 — 2002

The Telecom Implosion

A fast collapse, no dedicated response, skills never recovered.

~500,000 telecom jobs eliminated in two years
$2T in market capitalization evaporated
23 major bankruptcies, capped by WorldCom

Half a million telecommunications workers lost jobs as the deregulated industry consolidated following the Telecommunications Act of 1996. The Dow Jones communication technology index fell 86%; the wireless index 89%. WorldCom filed what was then the largest bankruptcy in U.S. history ($103.9B in assets). Federal response consisted of standard unemployment insurance and criminal prosecutions of specific executives. No dedicated program was created for the affected workforce.

Result for workers No dedicated response. Specific technical specializations — long-haul fiber engineering, SS7 signaling, circuit-switched operations — never found equivalent-paid work again.

The AI transition is now underway. Its shape resembles the China Shock in structure and the Telecom Implosion in speed. Its response, so far, resembles neither the Railroad Retirement Act nor anything comparable. The projection in the next section extends this non-response. The Intelligent Party exists to change which pattern applies.

The divergence

One projection extends the trajectory of current policy. The other applies the platform — Country Profit Sharing and the Tiered Profit-Ratio Tax — beginning 2028.

We may have democracy, or we may have wealth concentrated in the hands of a few, but we cannot have both.

Louis Brandeis
Scenario projection chart
Without intervention With Country Profit Sharing Cost of inaction
2026 2030 2034 2038 2040
Drag to advance, or press play to watch fifteen years unfold
Without intervention

Baseline. AI displacement beginning in early-adopter sectors. No federal response beyond existing unemployment insurance and standard retraining programs.

With Country Profit Sharing

Baseline. Intelligent Party's platform enacted through congressional leverage. Tiered profit-ratio tax takes effect on 2028 corporate filings. First dividend scheduled for fall 2028.

Values interpolated between projected keyframes. Scenario A extends the structural argument in The Great AI Implosion; Scenario B applies the platform — Country Profit Sharing, the Tiered Profit-Ratio Tax, and AI Tiering. Both are illustrative. The divergence shape — not the specific numbers — is the claim.

The burden doesn't grow

Opponents will call Country Profit Sharing a tax hike. The numbers say otherwise. The funding for the shared dividend comes overwhelmingly from existing federal safety-net spending redirected, not from new taxation on individuals. The total burden on a median household does not rise. What changes is the architecture.

Federal safety-net spending, current vs. consolidated

Both systems spend approximately $3.4 trillion per year. The difference is fragmentation.

Comparison of current fragmented social programs vs. consolidated Country Profit Sharing Current system four fragmented programs Under consolidation three programs + dividend Medicaid $620B Medicare $870B SNAP / TANF / SSI $480B Social Security $1.45T Medicaid $620B Medicare $870B Country Profit Sharing $1.93T SS + welfare → one dividend $3.42 TRILLION $3.42 TRILLION = Same total. Consolidated architecture. No tax increase on individuals.

Aggregate spending stays approximately the same. But that is the floor, not the ceiling. Two things change dramatically once consolidation happens — and neither of them has been visible in the standard welfare-reform debate.

2 · Coverage expands from a minority to every citizen

The current federal safety net reaches about a third of adult Americans. Country Profit Sharing reaches all of them.

Coverage comparison — current targeted programs vs Country Profit Sharing Current system Receive federal support 87M adults · 33% Receive no federal support 173M adults · 67% Under CPS Country Profit Sharing — 260M adults · every citizen 170 million more Americans covered.

The current federal safety net reaches roughly ninety million Americans — the retired, the disabled, those eligible for SNAP or TANF or SSI or housing assistance after means-testing. The remaining one hundred and seventy million adult Americans receive essentially nothing. Country Profit Sharing applies to every citizen equally — no means test, no eligibility gate, no stigma. The professional-managerial class that funds the current system but receives nothing from it becomes a shareholder alongside every other citizen. The resentment that fuels "my taxes pay for the lazy" has nowhere to stand when every taxpayer is also a dividend recipient.

3 · The dividend grows with AI productivity

Indexed to national output. As AI raises GDP, the Tiered Profit-Ratio Tax captures the gain on the corporate side and distributes it through the dividend. Every citizen participates in the AI-productivity windfall.

Country Profit Sharing dividend growth projections — baseline vs. AI productivity scenario $50K $40K $30K $20K $10K $0 2028 2032 2035 2040 2045 Launch: $10,500 per adult $28K · baseline GDP growth $45K · with AI productivity premium — AI PRODUCTIVITY CAPTURED → YEAR

The Tiered Profit-Ratio Tax captures the AI productivity premium on the corporate side before it accrues entirely to shareholders. As firms automate and their profit-per-employee ratios rise into higher brackets, more revenue flows into the CPS pool, and the per-adult dividend rises in step. Under the baseline GDP-growth scenario, the dividend reaches roughly $22,000 per adult by 2040. Under an AI-accelerated productivity scenario, it approaches $35,000 by 2040 and $45,000 by 2045. The disruption that would otherwise concentrate wealth at the top becomes a shared inheritance.

So the full picture: the individual tax burden does not grow, the fragmented welfare apparatus dissolves, coverage expands from roughly a third of adults to all of them, and the pool itself grows as the AI era delivers productivity gains. Same total today. All-citizen coverage. Growing tomorrow. That is the offer Country Profit Sharing actually makes.

The productivity windfall

The day is not far off when the economic problem will take the back seat where it belongs, and the arena of the heart and the head will be occupied by our real problems — the problems of life and of human relations, of creation and behavior and religion.

John Maynard KeynesEconomic Possibilities for Our Grandchildren, 1930

Every credible forecast of AI-driven economic change agrees on one point: the productivity gains ahead are enormous. The question is not whether they arrive. It is who captures them.

Institutional forecasters converge on a striking range. Goldman Sachs estimates roughly seven percent added to global GDP from generative AI alone over the next decade. McKinsey projects thirteen trillion dollars in additional global output by 2030, rising toward twenty-five trillion by the mid-2030s under accelerated deployment. PwC places the US-specific figure at roughly seven trillion dollars — a fourteen-percent boost to national output — by 2030. AI-research organizations project still larger gains as automation extends into every sector and compounds on itself. These are not fringe estimates. They are the range of what sober institutional analysis currently expects.

Projected AI productivity gain

Institutional forecasts — 2030 to mid-2030s

  • +7%global GDP from generative AI — Goldman Sachs
  • +$13Tglobal GDP by 2030 — McKinsey
  • +$7TUS GDP, 14% output boost — PwC
  • +$25Tglobal GDP, accelerated scenario — McKinsey upper

Distributed through CPS

Per adult per year — 260M adults, ≈12% GDP to pool

  • $13Ktoday's GDP ($28T) — baseline dividend
  • $18K2030s growth scenario — no AI boost
  • $23KAI productivity scenario — $50T US GDP
  • $37Kmature automation — $80T US GDP

These projections describe a specific shape of economic change. Routine cognitive and physical work becomes extraordinarily efficient. Manufacturing supply chains optimize in real time. Legal and medical research that used to take weeks completes in hours. Logistics approaches theoretical optima. Decisions that used to require large teams run on capabilities one operator can deploy. At the mature stage of this transition, productivity in many sectors reaches a level two to ten times higher than today, and further growth requires revolutionary technological change rather than incremental improvement. Automation reaches its maximum streamlining — and what emerges is extraordinary output for the labor and material that currently produces ordinary output.

What that productivity windfall buys — if it is distributed rather than captured — is genuinely transformative. A dividend that grows with national output to the point where working becomes a choice rather than a necessity. Public investment capacity on the scale that built the interstate highway system, the moonshot, and the internet backbone combined. Time reclaimed from tasks AI can do better, redirected to the care, craft, relationship, and cultural work human beings actually want to spend their lives on. A generation raised with material security from birth, able to take risks, pursue education, and build things without the structural precarity that defined the last fifty years for most American households.

The question the coming decade answers is not whether AI delivers the productivity. The forecasts suggest it will. The question is who receives the gains. Under current policy, the windfall flows to the owners of the AI systems and the capital deployed alongside them. The information-technology revolution of the 1980s through 2010s produced enormous productivity gains that largely accrued to a small capital-owning class while the labor share of national income fell. The AI transition is structurally similar — only faster, more total, and more concentrated. Without deliberate profit sharing, the same pattern repeats at a larger scale.

Country Profit Sharing is the architecture that changes who captures the windfall. Every percent of GDP added by AI productivity flows proportionally into the CPS pool through the Tiered Profit-Ratio Tax and the GDP-indexed dividend formula. A country with AI-driven GDP of fifty trillion dollars distributes roughly six trillion through CPS at the proposed ratio — about twenty-three thousand dollars per adult per year. A country with AI-driven GDP of eighty trillion distributes roughly ten trillion — about thirty-seven thousand dollars per adult. The American household does not have to wait for productivity to "trickle down." It flows directly, in proportion to how much productivity there actually is.

That is the central promise of the framework. Not that AI will be prevented or constrained beyond what makes sense. Not that workers will be protected through retraining programs and unemployment benefits while the productivity accrues elsewhere. But that the productivity AI genuinely delivers — potentially the largest windfall in American economic history — reaches every citizen as the shareholder they already are.

What the divergence means

Numbers on a chart do not live in a chart. The divergence propagates through political, cultural, and second-order economic systems — each amplifying the next. Four consequences worth naming.

01

Political consequence

Without intervention

Displaced professional workers enter the political discourse as the newly precarious. Elections become referenda on blame. Major parties compete on punitive narratives — against immigrants, against AI companies, against each other. Authoritarian solutions gain purchase because democratic institutions appear to have failed to protect their most credentialed citizens. Political realignment, yes — but not the one anyone wanted.

With Country Profit Sharing

The dividend is a visible, non-discriminatory, citizenship-anchored benefit. Political attention turns to the design of the new system — eligibility, amount, administration — rather than to the blame for economic collapse. The professional class remains politically stable. Reform conversations replace grievance conversations. Democracy holds because democracy is still delivering.

02

Cultural consequence

Without intervention

Deaths of despair — the pattern Anne Case and Angus Deaton documented in non-college-educated whites in the 2010s — extend into the college-educated professional class. Suicide, overdose, and alcohol-related mortality rise in zip codes that had been statistically protected. Marriage and birth rates collapse in the cohorts hit hardest. The cultural infrastructure around work — purpose, identity, community — dissolves without replacement.

With Country Profit Sharing

Removal of survival-pressure labor unlocks category-three work: art, craft, care, community. Arts enrollment rises. Small entrepreneurship exceeds prior peaks. Care work — for children, for the elderly, for the sick — is valued for the first time in American economic history. The cultural infrastructure around purpose rebuilds on a foundation that does not require paid employment.

03

Economic feedback

Without intervention

Consumer demand collapses as the wage cascade compresses household budgets across 60% of the population. Retail closes. Small business failures accelerate. Commercial real estate joins residential in the distressed-asset flow. State and local tax bases erode, producing budget crises in services — schools, transit, libraries. The AI-run firm has no one to sell to and discovers its productivity gains have no market. The top 1% consolidates assets while the market that made those assets valuable evaporates.

With Country Profit Sharing

The dividend flows directly into consumer spending — groceries, rent, medical care, small-business patronage, local services. Mass consumer demand is preserved through the dividend rather than through wages. Retail, small business, and community institutions survive the transition. AI productivity gains actually raise aggregate prosperity because the gains are distributed widely enough to sustain the market. Consumer demand remains a floor, not a ceiling.

04

Generational transfer

Without intervention

Young adults entering the labor market in 2032 face a professional class that is contracting, a housing market owned by institutions rather than households, and career ladders whose lower rungs have been automated. Inheritance patterns shift: those whose parents owned pre-collapse assets inherit; those whose parents did not, don't. The class structure calcifies into a form closer to nineteenth-century than twentieth. Mobility, already low, falls further.

With Country Profit Sharing

Every young adult turns 18 into a dividend they have been accumulating since birth (via the minor-trust provision). Every young adult is a citizen-shareholder with a financial floor under them from day one. Housing remains broadly owner-occupied because the mechanism of mass foreclosure did not trigger. Class mobility reopens because the starting-line differential is compressed by a shared floor under every citizen. The opportunity structure is rebuilt, not lost.

What the projection is for

The projection above is not a prophecy. It is a structured argument about causation, rendered in numbers so the shape of the argument is visible. The Intelligent Party holds that the structural forces described in Scenario A are already operating, at low enough velocity to feel abstract now and high enough velocity to be irreversible later. The platform — Country Profit Sharing, the Tiered Profit-Ratio Tax, AI Tiering — is what we believe produces Scenario B instead. Every year the platform is not enacted is a year the divergence widens.

Society is a partnership… between those who are living, those who are dead, and those who are to be born.

Edmund BurkeReflections on the Revolution in France, 1790