The Autonomy Economy: A Technical Framework for Post-Employment Civilization | Brian Curry

Updated Version 2.0 — Incorporating Price Deflation Effects

Abstract

We stand at an inflection point where artificial intelligence and robotics are not only displacing human labor but fundamentally transforming the economics of production. Research indicates AI will increase productivity by 1.5–3% annually while simultaneously driving the marginal cost of goods and services toward zero. This paper proposes the Autonomy Economy — a comprehensive system designed for a civilization where human labor becomes optional AND where most goods become effectively free. This dual transformation — rising productivity and falling prices — creates unprecedented prosperity when properly channeled through collective ownership and universal distribution.

Critical New Insight: Previous models focused solely on productivity gains. This updated framework incorporates the price deflation effect: as automation eliminates labor costs, production costs approach zero, making goods dramatically cheaper even as incomes rise. This creates a compounding wealth effect where $59,500 in Autonomy Dividend income has the purchasing power of $150,000–200,000 in today’s dollars by 2040.

Click here for : Research Foundations: Citations & Methodology

Github Repository with code and instructions.

Executive Summary: Enhanced System Parameters

Core Economics (2035 Baseline, 2040 Mature State)

GDP & Growth

Nominal GDP: $35T (2035) → $47.5T (2040)
Real Goods Production: 3.2x increase (2025–2040)
Deflation Rate: -2.5% annually (goods getting cheaper)
Per Capita Output: 165% increase in real terms

Citizen Income & Purchasing Power

Autonomy Dividend (nominal): $59,500/year (2035) → $82,000/year (2040)
Effective Purchasing Power (2040 AD): $185,000-$220,000 in 2025 dollars
Household (2 adults, 2040): $164,000 nominal = $370,000-$440,000 real purchasing power
Mechanism: Rising income + falling prices = compounding wealth

The Price Deflation Effect

Manufacturing goods: -65% average price decline (2025–2040)
Food prices: -55% decline
Housing costs: -40% decline (construction automation)
Electronics: -80% decline
Transportation: -70% decline (autonomous vehicles)
Energy: -75% decline (renewable automation)

Why Traditional Economics Missed This: Standard GDP models don’t capture the “abundance effect” where production costs approach zero while output explodes. The Autonomy Economy is designed specifically for this abundance regime.

The Dual Transformation

Transformation 1: Productivity Explosion

Human labor requirements: -78% (2025–2040)
Output per worker: +240%
GDP growth: +67% nominal, +185% real

Transformation 2: Price Deflation

Marginal cost of production: Approaching zero
Automation eliminates 80–95% of production costs
AI drives design, logistics, and distribution costs to near-zero
Result: Same dollar buys 2.5–3x more goods

Combined Effect:

2025: $75,000 household income, normal prices
2040: $164,000 AD income, prices 60% lower
Real purchasing power increase: +385%

This is not inflation-adjusted — this is actual deflation creating abundance.

I. The Dual Revolution: Productivity AND Price Deflation

1.1 The Conventional View (Incomplete)

Most UBI and post-employment frameworks focus solely on:

AI increases productivity → GDP grows → Distribute the gains

This captures only half the transformation.

1.2 The Complete Picture

AI and automation create TWO simultaneous effects:

Effect 1: Supply Explosion

Robots work 24/7 without wages
AI optimizes every production step
Materials processing becomes continuous
Quality control approaches 100%
Result: Output per unit of capital increases dramatically

Effect 2: Cost Collapse

Labor costs: 80–95% of most goods → near zero
Energy costs: Renewable automation → approaching zero
Distribution: Autonomous vehicles → 70% cost reduction
Retail: Direct-to-consumer AI → eliminates markup
Design: AI iteration → free
Marketing: AI-generated → near-zero cost

Combined Result: The cost to produce a smartphone, car, house, or meal approaches the raw material cost alone — and even those are dropping as automated mining and recycling improve.

1.3 Historical Precedent: The Computing Example

1980s Computer:

Cost: $3,000 (equivalent to $10,000 today)
Capability: 1 MHz processor, 64KB RAM
Cost per unit of computing: High

2025 Smartphone:

Cost: $300
Capability: 3,000 MHz processor, 12GB RAM
Cost per unit of computing: 99.97% reduction

This same pattern is now extending to ALL goods as AI and robotics mature.

1.4 The Zero Marginal Cost Economy

Marginal Cost = Cost to produce one additional unit

Traditional Economy:

Car: $25,000 marginal cost (labor, materials, assembly, overhead)
Shirt: $15 marginal cost
Restaurant meal: $8 marginal cost

Autonomy Economy (2040):

Car: $3,500 marginal cost (materials only, assembly/labor/design near-zero)
Shirt: $0.80 marginal cost
Restaurant meal: $1.20 marginal cost

When robots make robots, and AI designs everything, and energy is free (solar + automation), marginal costs approach material costs — which are themselves falling as recycling improves.

II. Updated Economic Model: Incorporating Price Deflation

2.1 The Purchasing Power Multiplier

Traditional GDP accounting:

Real GDP = Nominal GDP / Price Index

In a deflationary automation economy:

Effective Purchasing Power = Income × (1 / Price Index) × Availability Factor

Where:
- Income = Autonomy Dividend
- Price Index declining 2-3% annually
- Availability Factor = goods available that weren't accessible before

2.2 Sector-by-Sector Price Deflation Projection

Manufacturing (vehicles, appliances, electronics)

2025 Price Index: 100
2030: 72 (-28%)
2035: 48 (-52%)
2040: 35 (-65%)
Driver: Full factory automation, AI design, zero-cost assembly

Food Production

2025: 100
2030: 78 (-22%)
2035: 58 (-42%)
2040: 45 (-55%)
Driver: Vertical farming automation, AI agriculture, robotic harvesting

Housing & Construction

2025: 100
2030: 82 (-18%)
2035: 68 (-32%)
2040: 60 (-40%)
Driver: 3D printing, robotic construction, AI architectural design

Energy

2025: 100
2030: 52 (-48%)
2035: 35 (-65%)
2040: 25 (-75%)
Driver: Solar/wind automation, battery production automation, smart grid AI

Transportation

2025: 100
2030: 62 (-38%)
2035: 42 (-58%)
2040: 30 (-70%)
Driver: Autonomous vehicles, electric drivetrains, shared mobility

Healthcare (goods, not services)

2025: 100
2030: 68 (-32%)
2035: 48 (-52%)
2040: 38 (-62%)
Driver: AI drug discovery, automated pharmaceutical production, robotic surgery equipment

Entertainment & Media

2025: 100
2030: 42 (-58%)
2035: 22 (-78%)
2040: 15 (-85%)
Driver: AI content generation, zero distribution cost, free access models

Weighted Average Price Deflation: -2.8% annually (2025–2040)

Compounded: By 2040, average consumer prices are 58% lower than 2025 levels.

2.3 Updated Autonomy Dividend Real Value

2035 Calculation:

Nominal AD: $59,500/year
Price deflation factor (2025-2035): 0.76 (24% lower prices)
Real purchasing power: $59,500 / 0.76 = $78,289 equivalent

But this understates true value because availability of goods also increases
Availability multiplier: 1.35 (35% more goods available)
True effective purchasing power: $78,289 × 1.35 = $105,690

Comparison to 2025:
- 2025 median income: $75,000
- 2035 effective AD: $105,690
- Real increase: +41%

2040 Calculation:

Nominal AD: $82,000/year
Price deflation factor (2025-2040): 0.58 (42% lower prices)
Raw purchasing power: $82,000 / 0.58 = $141,379

Availability multiplier: 1.55 (55% more goods available)
True effective purchasing power: $141,379 × 1.55 = $219,138

Comparison to 2025:
- 2025 median income: $75,000
- 2040 effective AD: $219,138
- Real increase: +192%

Household (2 adults) 2040:

Nominal: $164,000/year
Effective purchasing power: $438,276 in 2025 dollars

This is not theoretical — this is the mathematical result of rising incomes meeting falling prices.

2.4 Why This Changes Everything

Traditional UBI Concern: “Giving everyone money will cause inflation”

Reality with Automation: Inflation requires supply constraints. When supply is effectively infinite (robots making everything), prices MUST fall.

The Abundance Equation:

Price = (Production Cost + Profit Margin) / (Supply / Demand)

As automation advances:
- Production Cost → Near Zero
- Supply → Effectively Infinite
- Result: Price → Near Zero regardless of demand

Example — T-Shirt:

2025: $20 retail ($8 materials, $7 labor, $3 overhead, $2 profit)
2040: $3 retail ($2.50 materials, $0.10 robot time, $0.20 overhead, $0.20 profit)

The $20 → $3 price drop is NOT inflation-adjusted. It’s actual deflation in nominal terms.

III. Revised Consumption Model: The Abundance Tiers

3.1 Updated Tier Structure

Tier 0 — Post-Scarcity Goods (Effectively Free by 2040)

Digital content (entertainment, education, information)
Basic communication and internet
Standard clothing
Basic electronics (phones, tablets, basic computers)
Public transportation rides
Streaming services and media
Reason: Marginal cost of these approaches zero

Tier 1 — Essential Resources (Free at point of use, funded by Public Trust)

Food (2,500+ calories/day, high quality)
Housing (600 sq ft per person, well-maintained)
Healthcare (preventive + curative)
Advanced education
Clean water and sanitation
Basic transportation access
Funded by: 25% of Public Trust, but actual COST dramatically lower due to deflation

Tier 2 — Standard Goods (AD-accessible, prices declining rapidly)

Enhanced food (restaurants, premium ingredients)
Larger private housing (1,200+ sq ft)
Personal vehicles (electric, autonomous)
Travel and experiences
Consumer durables (appliances, furniture)
Hobbies and recreation
Pricing: Market-based but declining 2–3% annually
2040 typical costs: 60% below 2025 levels

Tier 3 — Luxury/Scarce Items (Merit Multiplier access or cash)

Large estates (5,000+ sq ft)
Rare collectibles and art
Human-intensive personalized services
Extremely resource-intensive goods
Pricing: Still market-based, declining slower (15–20% total decline 2025–2040)

3.2 Consumption Scenarios: What $82,000 AD Buys in 2040

Scenario 1: Comfortable Family (2 adults, 2 children)

Annual AD Income: $164,000 (2 adults)

Monthly Expenses (2040 prices):

Housing (Tier 1): $0 (1,400 sq ft apartment included)
Food (beyond Tier 1 basics): $600 (restaurants, premium items)
Transportation: $400 (occasional personal vehicle use, mostly autonomous)
Entertainment: $200 (experiences beyond free streaming)
Hobbies/Recreation: $300
Clothing: $150 (beyond basics)
Travel: $800 (2 major trips per year)
Miscellaneous: $500

Total Monthly Spend: $2,950 Annual Consumption: $35,400

Remaining for savings/investment: $128,600/year (78% savings rate)

Note: This same consumption would cost ~$95,000 in 2025, meaning their savings rate would be negative.

Scenario 2: Ambitious Entrepreneur

Annual AD Income: $82,000 (single) Merit Multiplier: Gold level (2,500 points)

Chooses to supplement AD with private enterprise:

Operates AI-managed micro-factory
Produces custom furniture via robotics
Additional income: $40,000/year (part-time, 15 hours/week)

Total Income: $122,000/year Effective purchasing power (2040): ~$275,000 in 2025 dollars

Expenses:

Premium housing (RPA priority): $1,200/month
High-end experiences: $2,000/month
Investment in business: $1,500/month
Everything else: $2,000/month

Total: $6,700/month = $80,400/year Savings: $41,600/year + business equity growth

Scenario 3: Minimalist Creator

Annual AD Income: $82,000 (single) Lifestyle choice: Focus on creative work, minimal consumption

Expenses:

Housing: $0 (Tier 1 basic housing)
Food: $200/month (mostly Tier 1, occasional restaurants)
Entertainment: $100/month (mostly free/Tier 0)
Art supplies: $150/month
Travel: $300/month (hostels, budget options)
Other: $150/month

Total: $900/month = $10,800/year Savings: $71,200/year (87% savings rate)

Uses savings for:

Legacy Allocation Rights (directing $500K to arts programs)
Occasional major travel experiences
Building investment portfolio for cooperative ventures

3.3 The Disappearing Necessity of Money

As prices approach zero for essentials and common goods, money becomes less central to daily life:

Goods Approaching Free (2040):

Smartphone: $40 (was $800 in 2025)
T-shirt: $2 (was $20)
Restaurant burger: $3.50 (was $12)
50-mile autonomous car ride: $2 (was $35 Uber)
Month of streaming entertainment: $0.50 (was $50)
Laptop computer: $120 (was $1,200)
LED light bulb: $0.30 (was $5)
Solar panel installation: $600 (was $15,000)

What Remains Expensive:

Scarce real estate (beachfront property)
Human-intensive services (personal chef, life coach)
Rare collectibles
Custom one-of-a-kind items
High-status luxury goods

Merit Multipliers become MORE valuable than cash because:

Most goods are cheap or free anyway
True scarcity is in experiences and access
Legacy and reputation matter more than consumption
Status comes from what you create, not what you buy

IV. Updated Government Efficiency Model

4.1 The Compounding Effect on Government Savings

Original Model:

Government spending reduction: $6.75T → $1.45T
Savings: $5.3T redirected to Public Trust

Updated Model (incorporating price deflation):

Government spending reduction (nominal): $6.75T → $1.45T
But actual services IMPROVE due to automation efficiency
Real cost to deliver services: $1.45T / 0.58 (deflation) = $2.5T in 2025 equivalent
Meaning: We’re delivering $2.5T worth of 2025 services for $1.45T in 2040 dollars
Additional efficiency gain from deflation: $1.05T
Total effective savings: $6.35T

This extra $1.05T from deflation can:

Boost AD by additional $4,000/year per adult
Fund additional infrastructure
Accelerate innovation investment

4.2 Defense Spending Deflation Effect

Original: $850B (2025) → $185B (2040)

With deflation factored:

$185B in 2040 buys equivalent of $320B in 2025 capabilities
Savings: $850B — $320B = $530B in real terms
Plus: Zero casualties, 24/7 readiness, superior capability

Autonomous systems benefit even more from deflation:

Drone production cost: -82% (2025–2040)
AI training cost: -95% (2025–2040)
Sensor technology: -78% (2025–2040)
Result: Vastly superior military for fraction of cost

V. Inflation vs Deflation: The Critical Distinction

5.1 Why Standard Inflation Concerns Don’t Apply

Standard Inflation Theory:

Too much money chasing too few goods → Prices rise

Autonomy Economy Reality:

Adequate money + Infinite supply capacity → Prices fall

The Supply Constraint is Broken:

Traditional Economy:

Supply limited by labor availability
Can’t make more goods without more workers
Giving everyone money creates demand > supply
Result: Inflation

Autonomy Economy:

Supply limited only by raw materials (abundant)
Robots scale infinitely
AI designs products instantly
Factories run 24/7 lights-out
Giving everyone money creates demand = instant supply response
Result: Stable or declining prices

5.2 The Deflationary Spiral (Good Version)

Traditional Economics Fears Deflation:

Prices fall → People delay purchases → Demand drops → Economy contracts
Called “deflationary spiral”

Why This Doesn’t Happen in Autonomy Economy:

People still need to eat, live, consume
AD provides consistent purchasing power
Production costs falling faster than prices
Goods improve while getting cheaper
People buy MORE, not less, because they can afford it

Example:

2025: Person buys 1 laptop for $1,200
2040: Person buys 3 laptops for $360 total (each $120)
Consumption INCREASES even as prices fall
Economy GROWS even with deflation

5.3 Managing the Transition: Controlled Deflation

Deflation Rate Targets:

2025–2030: -1.5% annually (gentle transition)
2030–2035: -2.5% annually (accelerating)
2035–2040: -3.2% annually (full automation effect)
2040+: -2.0% annually (maintenance level)

Control Mechanisms:

If deflation too fast: Increase AD payments
If deflation too slow: Accelerate automation investment
AI monitors prices real-time and adjusts production
Prevents deflationary shock

VI. Updated Transition Timeline with Price Effects

Phase 1: Foundation (2025–2028)

Automation Rate: 25% → 40% Price Effects: -8% cumulative deflation AD: $0 → $15,000/year (pilot cities) Real purchasing power: $15,000 = $16,300 in 2025 dollars

Phase 2: Expansion (2028–2033)

Automation Rate: 40% → 60% Price Effects: -18% cumulative (from 2025 baseline) AD: $15,000 → $48,000/year Real purchasing power: $48,000 = $58,500 in 2025 dollars

Phase 3: Transformation (2033–2040)

Automation Rate: 60% → 78% Price Effects: -42% cumulative (from 2025 baseline) AD: $48,000 → $82,000/year Real purchasing power: $82,000 = $141,000 in 2025 dollars Household (2 adults): $164,000 = $283,000 in 2025 dollars

Phase 4: Maturity (2040–2050)

Automation Rate: 78% → 91% Price Effects: -62% cumulative (from 2025 baseline) AD: $82,000 → $122,000/year Real purchasing power: $122,000 = $320,000 in 2025 dollars Household (2 adults): $244,000 = $640,000 in 2025 dollars

VII. Addressing Enhanced Challenges

7.1 The Motivation Problem (Revised)

Original Concern: Will people work if they get $59,500/year?

Updated Reality: Will people work if they get income equivalent to $140,000+ in today’s purchasing power and most goods are nearly free?

Answer: Yes, but motivation shifts:

Material Needs Fully Satisfied: No one works for survival
Status from Creation: Merit Multipliers reward contribution
Boredom Factor: Humans seek challenge and purpose
Social Connection: Work provides community
Legacy Desire: LAR enables lasting impact

Evidence: Current billionaires (Gates, Musk, Bezos) don’t need money but work 60+ hours/week because wealth isn’t the motivation — impact is.

When survival is guaranteed and consumption is cheap, humans naturally seek meaning through creation, not accumulation.

7.2 The “Won’t Robots Take All the Jobs?” Paradox

The Paradox Resolved:

Question: If robots do everything, won’t humans be unemployed and poor?

Traditional Answer: Yes, that’s the problem!

Autonomy Economy Answer: Yes, and that’s PERFECT!

The key insight: Robots taking jobs is only a problem in employment-based economics. In the Autonomy Economy:

Robots taking jobs = More production with less human effort
More production = Lower prices
Public ownership of robots = Distribution of gains
Result: Humans freed from toil, not impoverished by it

The goal isn’t to preserve employment — it’s to distribute the abundance robots create.

7.3 The Resource Constraint (Updated)

Question: Won’t we run out of resources if everyone can afford everything?

Answer: Three factors prevent this:

Dematerialization: Many goods require fewer resources

Digital entertainment replaces physical media
AI reduces overproduction and waste
Efficient design minimizes material use
Recycling automation approaches 95%

Consumption Satiation: After basic needs + luxuries, people don’t want infinite stuff

Studies show happiness plateaus at ~$100K income
Most people don’t want 10 cars or 20 TVs
Experiences > possessions for high earners
Merit Multipliers redirect status seeking away from consumption

Algorithmic Management: AI prevents wasteful consumption

Real-time sustainability scoring
Social nudges toward efficient consumption
Premium pricing for excessive use
No hard caps, just incentives

Projection: Despite 3x higher purchasing power, actual resource consumption increases only 40% (efficiency gains + dematerialization + satiation).

7.4 The Innovation Problem (Enhanced Answer)

With price deflation factored:

$1.8T innovation budget in 2040 dollars
Equivalent to $3.1T in 2025 purchasing power
20x larger than current innovation investment
Plus: Materials and equipment much cheaper
Result: Innovation explosion far exceeds current capabilities

Example: Current AI training run costs $100M. By 2040, equivalent compute costs $8M. Innovation becomes radically more affordable.

VIII. The Compounding Prosperity Formula

The Mathematical Proof of Abundance

Prosperity = (Income × Availability) / Price

Where:
- Income = Autonomy Dividend (rising with GDP)
- Availability = Range of goods accessible (expanding with automation)
- Price = Cost of goods (falling with automation)

2025 (Current):
Prosperity = ($75,000 × 1.0) / 1.0 = 75,000 units

2040 (Autonomy Economy):
Prosperity = ($164,000 × 1.55) / 0.58 = 438,966 units

Prosperity increase: 485%

This is not a projection — this is mathematical certainty if:

Automation continues current trajectory (high confidence)
Public Trust captures productivity gains (policy choice)
Price deflation follows supply expansion (economic law)

The Four Multipliers

Multiplier 1: Productivity (+67% GDP growth) Multiplier 2: Income Share (52–56% to Public Trust) Multiplier 3: Price Deflation (-42% in costs) Multiplier 4: Availability (+55% goods accessible)

Combined: 2.92x prosperity increase in 15 years

This is unprecedented in human history.

IX. Why This Framework Succeeds Where Others Fail

Previous Frameworks

UBI Proposals:

Focus: Give everyone money
Weakness: Ignores production side, inflation concerns valid
Result: Politically unpopular, economically questionable

Post-Scarcity Theory:

Focus: Automation creates abundance
Weakness: No distribution mechanism, no governance model
Result: Theoretical but not implementable

Socialist Models:

Focus: Public ownership of means of production
Weakness: Central planning inefficient, kills innovation
Result: Historical failures

Autonomy Economy Advantages

Combines Best Elements:

UBI: Universal distribution (but scaled to productivity)
Post-Scarcity: Recognizes abundance potential (but adds governance)
Socialism: Public ownership (but decentralized, algorithmic)
Capitalism: Private enterprise (35% of economy, innovation incentives)

Key Innovations:

Dual focus: Income distribution AND price deflation
Government efficiency: Biggest savings come from automating bureaucracy
Merit Multipliers: Non-monetary rewards prevent inequality
Natural circulation: System design > enforcement
Voluntary participation: No confiscation or caps

Why It Works:

Math is sound (productivity × ownership × deflation)
Technology exists (AI, robotics, blockchain, CBDC)
Incentives aligned (innovation rewarded, contribution recognized)
Human nature accommodated (status, legacy, meaning)
Transition gradual (15-year phase-in)

X. Conclusion: The True Scale of Transformation

The 2025 vs 2040 Reality

Average American Household:

2025:

Income: $75,000/year
Home: 1,800 sq ft (if owned), 1,200 sq ft (if rented)
Cars: 1–2, gas-powered, required for work
Healthcare: Employment-based, $500/month premiums
Education: Expensive, debt-financed
Vacation: 1 week/year if lucky
Retirement: Uncertain, requires decades of savings
Stress: High (financial anxiety, work pressure)
Time freedom: 20 hours/week (after work + commute)

2040:

Income: $164,000/year (2 adults) = $438,000 real purchasing power
Home: 2,500 sq ft (if desired), free 1,400 sq ft basic
Cars: Autonomous, shared, $150/month unlimited access
Healthcare: Universal, free, AI-enhanced
Education: Free through PhD
Vacation: 6+ weeks/year (no mandatory employment)
Retirement: Not needed (AD continues)
Stress: Minimal (guaranteed income, healthcare, housing)
Time freedom: 100+ hours/week (optional 20-hour work week)

The Transformation in Numbers:

Real purchasing power: +385%
Working hours: -50%
Healthcare cost: -100%
Education cost: -100%
Housing insecurity: -100%
Time freedom: +400%
Life satisfaction: Estimated +85%

The Ultimate Question

Is this utopian fantasy or engineering reality?

It’s Engineering:

Every technology exists today
Every calculation is verifiable
Every assumption is conservative
Every mechanism is testable
Every objection is addressable

The transformation is already beginning:

AI is already displacing workers
Automation is already reducing costs
CBDCs are already being piloted
Governments are already automating services
Prices are already falling for automated goods

The question isn’t “Can we build the Autonomy Economy?”

The question is: “Will we design the distribution system before unemployment creates crisis?”

The Choice Before Us

Option 1: Resist

Attempt to preserve employment through regulation
Result: Economic stagnation, rising inequality, social unrest
Outcome: Collapse when automation happens anyway

Option 2: Chaos

Let automation proceed without systemic response
Result: Mass unemployment, poverty, potential societal breakdown
Outcome: Crisis followed by forced redistribution

Option 3: Design

Implement Autonomy Economy framework
Result: Prosperity, freedom, innovation explosion
Outcome: Humanity freed from scarcity for first time in history

The Imperative

The technology is here. The economics work. The math is sound.

All that remains is the will to build it.

When our grandchildren ask why we did or didn’t create a world of abundance when we had the capability, what will we tell them?

The Autonomy Economy is not a dream.

It’s a blueprint.

It’s time to build.

Author’s Note on This Update

Version 2.0 incorporates the critical price deflation effect that was underemphasized in earlier models. The original framework showed a 67% increase in GDP and 52% public ownership creating significant prosperity. This update reveals that price deflation from automation creates an ADDITIONAL 2–3x multiplier effect on purchasing power.

The result: The Autonomy Economy is even more powerful than initially modeled. By 2040, the typical American household will have effective purchasing power equivalent to $400,000-$500,000 in today’s dollars — not through inflation, but through the combination of rising productivity-based income and falling automation-driven prices.

This is not speculation. This is the mathematical consequence of near-zero marginal cost production combined with collective ownership of productive capital.

The future is abundant. We just need to design systems to capture it.

License: Creative Commons Attribution 4.0 International (CC BY 4.0)

For collaboration or questions: brian at vector1.ai

About the Author

Brian Curry is a Kansas City based Data Scientist, Artificial Intelligence expert and founder of Vector1 Research, a part-time passion project where he explores the frontier of Artificial Intelligence, SEO, Agentic Systems, Machine Learning, Economic Systems, Marketing Modeling, and Econometrics.

His work focuses on building intelligent systems that reveal the causal structures driving performance across marketing, content, and economics. He is the creator of:

Papilon: An open-source framework for complex system optimization
Daedalus: A platform for causal and economic analysis
Memory-Node Encapsulation (MNE): A revolutionary data structure for artificial episodic memory and cognitive AI reasoning

Contact: brian at vector1.ai | Vector1 AI Economics Lab

This article may be shared with attribution under Creative Commons Attribution 4.0 International (CC BY 4.0).

License: Creative Commons Attribution 4.0 (CC BY 4.0)