The 2028 Abundance Transition: A Response to Citrini's "Global Intelligence Crisis"
Preface
What if AI abundance is deflationary in ways that liberate rather than destroy?
What follows is a scenario, not a prediction. This isn't tech-optimist copium or accelerationist fan-fiction. The intent is modeling a scenario that's been underexplored in the discourse: what if the productivity explosion works?
Our friends at Citrini Research wrote a thoughtful bearish scenario. We think they're modeling financial mechanics but missing economic fundamentals. This is our counter-memo.
This is the Abundance Research Macro Memo from June 2028, detailing the progression of the Great Deflation and the birth of the post-scarcity transition.
Macro Memo
The Consequences of Abundant Intelligence
Abundance Research
~~February 23rd, 2026~~ June 30th, 2028
The CPI printed -2.1% this morning, the eighth consecutive month of deflation. But unlike the deflation of the 1930s, this one came with 3.8% real wage growth for the median worker.
Economists have stopped calling it a "soft landing." They're calling it "the great repricing."
Two years. That's all it took to go from "AI will destroy jobs" to an economy that no longer resembles the one any of us grew up in -- but in ways the doomers didn't predict.
The bears had a thesis: displacement would outrun creation, consumption would collapse, and the feedback loop would spiral into depression. They were half right. Displacement was brutal. But they modeled a financial crisis and got an economic transformation.
The Cost-of-Living Collapse
By late 2026, something strange was happening. White-collar layoffs were accelerating exactly as the doomers predicted. But consumer spending wasn't collapsing. It was shifting.
The reason was simple: the cost of everything was falling faster than incomes.
AVERAGE FAMILY HEALTHCARE SPENDING FALLS 34% YOY AS AI DIAGNOSTICS, DRUG DISCOVERY, AND ADMINISTRATIVE AUTOMATION SLASH COSTS; INSURANCE PREMIUMS FOLLOW | Bloomberg, March 2027
Healthcare was first. AI diagnostics caught conditions earlier and cheaper. Administrative costs -- 30% of US healthcare spending -- collapsed as agents handled billing, prior authorization, and claims processing. Drug discovery timelines compressed from 10 years to 18 months. Generic manufacturers used AI to navigate the patent thicket.
A family paying $1,800/month for health insurance in 2025 was paying $900 by 2028. Not because coverage got worse -- because delivery got radically more efficient.
AVERAGE COST OF LEGAL REPRESENTATION FALLS 60% AS AI-ASSISTED LAWYERS HANDLE 5X PRIOR CASELOADS; ACCESS TO JUSTICE METRICS HIT RECORD HIGHS | ABA Journal, August 2027
Legal services followed. The $400/hour attorney didn't disappear -- but their output quintupled. Routine legal work that cost $5,000 now cost $800. For the first time in decades, middle-class families could afford to actually use the legal system.
Education. Financial advice. Accounting. Home repair estimates. Every professional service built on information asymmetry and credentialing saw prices collapse. The PMC wasn't destroyed -- it was commoditized, and consumers were the beneficiaries.
The Displacement Was Real
Let's be clear: the disruption was brutal. Everything the bears predicted about displacement happened.
U.S. INITIAL JOBLESS CLAIMS SURGE TO 512,000; WHITE-COLLAR SEPARATIONS ACCOUNT FOR 67% OF NEW FILINGS | Department of Labor, Q3 2027
ServiceNow, Salesforce, the SaaS long-tail -- they all got crushed exactly as predicted. Private credit took losses. Some PE-backed software deals went to zero.
The bears got the mechanism right. They got the second-order effects wrong.
Here's what they missed: displaced workers weren't just consumers. They were also cost-bearers. When a $180,000 product manager lost their job, yes, they stopped spending $180,000. But they also stopped needing to earn $180,000.
The $4,000/month apartment? AI-optimized construction and zoning reform (finally forced through by the housing crisis) pushed rents down 30% in major metros. The $1,800/month health insurance? Down to $900. The $2,500/month childcare? AI tutoring and hybrid care models cut it in half. The $800/month car payment? Autonomous vehicles meant most families dropped to one car or zero.
A household that needed $180,000 to maintain their lifestyle in 2025 needed $95,000 by 2028.
The displacement spiral had a natural brake the bears didn't model: the cost of living was falling in tandem with incomes.
The Creation Nobody Expected
"This time is different because AI can do the new jobs too" was the bear case for permanent displacement.
It was wrong, but not for the reasons the bulls expected.
Yes, AI could do most cognitive tasks. But humans discovered they wanted things AI couldn't provide -- and were willing to pay for them.
EXPERIENCE ECONOMY EMPLOYMENT SURGES 47% YOY; 'HUMAN-CERTIFIED' SERVICES COMMAND 3-4X PREMIUM OVER AI EQUIVALENTS | Bureau of Labor Statistics, Q1 2028
The "Experience Economy" wasn't new, but its explosion was. As goods and services got cheap, people spent on experiences -- and experiences, by definition, require human presence.
Not just travel and entertainment (though those boomed). Human-guided fitness. Human-taught cooking classes. Human-facilitated retreats. Human-certified craftsmanship. Therapy and coaching that advertised "no AI, ever." Authenticity became the new luxury.
The "vibe economy" turned out to be enormous. People wanted to be in rooms with other humans, doing things together, facilitated by humans. AI made everything else cheap enough that they could afford it.
CARE ECONOMY ADDS 2.3M JOBS IN 18 MONTHS AS AGING POPULATION MEETS NEWFOUND AFFORDABILITY; MEDIAN CAREGIVER WAGE UP 28% | AARP, April 2028
The care economy exploded. Not because AI couldn't help (it did), but because humans wanted humans caring for their aging parents, their children, themselves. When healthcare costs fell 40%, families could afford to pay caregivers more. The sector that had been suppressed by cost disease was suddenly unleashed.
'CRAFT PREMIUM' DRIVES 340% INCREASE IN ARTISAN GOODS SALES; HAND-MADE, LOCALLY-SOURCED, HUMAN-CREATED PRODUCTS COMMAND RECORD MARKUPS | Etsy/Shopify Economic Report, 2028
Something strange happened in consumer goods: the premium for human-made increased. Mass production got so cheap that the marginal product was nearly free. But a hand-thrown ceramic bowl, a human-composed song, a hand-written letter -- these became status goods in a way they hadn't been since the industrial revolution.
The Policy Response That Actually Worked
The bears assumed policy paralysis. They were wrong, for a simple reason: this time, the elites were in the blast radius.
In 2008, the people making policy weren't losing their homes. In 2027, their kids were getting laid off from McKinsey. That concentrated minds wonderfully.
BIPARTISAN 'AMERICAN TRANSITION ACT' PASSES SENATE 71-29; ESTABLISHES COMPUTE DIVIDEND, RETRAINING CREDITS, PORTABLE BENEFITS | C-SPAN, December 2027
The American Transition Act did three things:
- Compute Dividend: A 2.5% tax on AI inference compute, distributed as a quarterly dividend to all adult citizens. Not enough to live on (~$2,400/year), but enough to smooth the transition.
- Portable Benefits: Healthcare and retirement benefits decoupled from employment. If you're working three gig jobs, all three contribute to the same benefit pool.
- Retraining Credits: $15,000 lifetime credit for any accredited retraining program, delivered as a tax credit or direct payment.
The key insight: taxing compute rather than companies made the politics workable. It wasn't "punishing success" -- it was "sharing the productivity gains." Even tech CEOs could get behind it, because the alternative was pitchforks.
The Mortgage Question (Answered Differently)
The bears were terrified about mortgages. They were right that 780-FICO borrowers were under stress. They were wrong about what happened next.
MORTGAGE DELINQUENCIES SPIKE TO 4.2% IN Q4 2027, THEN STABILIZE AS COST-OF-LIVING DEFLATION PROVIDES HOUSEHOLD RELIEF; FED MORTGAGE FACILITY PROVIDES BRIDGE FINANCING | Federal Reserve, Q2 2028
Yes, delinquencies rose. But they didn't spiral, because:
- Cost of living fell faster than incomes -- households could service mortgages on lower nominal incomes
- The Fed acted early -- a mortgage facility providing bridge financing for displaced workers prevented forced sales
- Housing costs fell -- new construction using AI-optimized methods and finally-reformed zoning brought supply online
The Productivity Dividend
Here's what the bears fundamentally missed: productivity gains don't have to be captured only by capital.
In their model, AI makes workers more productive, companies pocket the gains, workers get fired. But that's not the only equilibrium.
MEDIAN WORKER OUTPUT PER HOUR UP 340% SINCE 2025; MEDIAN REAL WAGE UP 23%; LABOR'S SHARE OF GDP STABILIZES AT 52% AFTER AI TRANSITION TAX | Economic Policy Institute, 2028
The AI-augmented worker didn't get fired. They got more valuable. A developer with AI tools wasn't 10x more productive -- they were 10x more valuable to their employer, because the marginal developer was now just... AI.
The humans who remained in the workforce commanded premiums for judgment, taste, client relationships, and final accountability. "Human in the loop" wasn't a concession to safety -- it was a product feature that companies charged more for.
What Actually Happened to GDP
The bears predicted "Ghost GDP" -- output that shows up in national accounts but doesn't circulate through the real economy.
They got it backwards.
REAL GDP GROWTH 4.1% ANNUALIZED IN Q2 2028; CONSUMPTION UP 3.2% DESPITE 8% DECLINE IN NOMINAL SPENDING; 'DEFLATION-ADJUSTED PROSPERITY' | BEA, June 2028
Nominal spending fell. But real consumption rose. People were buying more, it just cost less. The deflationary impact of AI was concentrated in B2B services and professional services -- exactly the things that had been driving cost-of-living inflation for decades.
The money that households weren't spending on $400/hour lawyers and $1,800/month health insurance? It went into the experience economy, into savings, into earlier retirement, into starting businesses (which was now radically cheaper).
The New Economy
By June 2028, the economy looked different. Not utopian -- messy, unequal, still adjusting. But not collapsed.
What grew:
- Experience economy (entertainment, travel, human-facilitated everything)
- Care economy (healthcare delivery, eldercare, childcare, mental health)
- Craft economy (artisan goods, human-certified products)
- Frontier economy (AI safety, alignment, new research directions)
- Physical economy (construction, infrastructure, energy -- the atoms that AI couldn't directly produce)
- Information intermediation (the "friction economy")
- Routine professional services (commoditized but not eliminated)
- Corporate middle management (the bullshit jobs thesis was finally validated)
- Education (hybrid human+AI, radically cheaper, more accessible)
- Healthcare (AI diagnostics + human care, costs down 40%)
- Legal (AI research + human judgment, access to justice finally real)
The Equilibrium
The bears modeled a spiral with no natural brake. They missed three brakes:
- Cost of living deflation -- displaced workers needed less income to maintain living standards
- New demand categories -- humans wanted things only humans could provide
- Policy response -- when elites are threatened, policy moves fast
But we're not in depression either. We're in a different economy -- one where intelligence is abundant, costs are falling, and the human premium is rising.
The intelligence premium didn't unwind. It transformed. The premium for raw cognitive labor collapsed. The premium for judgment, taste, relationships, and presence exploded.
But you're not reading this in June 2028. You're reading it in February 2026.
The S&P is near all-time highs. The displacement has barely begun. We don't know which scenario will materialize.
The bears say the system will break before it adapts. The bulls say adaptation is what systems do.
Both are modeling the same disruption. Only one is modeling the response.
The canary is still alive. So is the possibility.
Related Reading
- OpenAI Podcast: "State of the AI Industry" -- Sarah Friar & Vinod Khosla -- OpenAI's CFO and Vinod Khosla discuss what's driving AI investment, the difference between now and the dot-com bubble, and what's still ahead.
- Rotating from Gold & Silver into Copper: An AI-Driven Commodity Repricing Thesis -- The physical infrastructure layer of the AI buildout: why copper is the essential metal underpinning the new computational economy.