AI Abundance Sounds Familiar. Bitcoiners Have Heard This Story Before.

Silicon Valley has a new promise for the world. Artificial intelligence will create abundance. Productivity will explode. Scientific discovery will accelerate. Medical breakthroughs will arrive faster. Knowledge work will become dramatically cheaper and more efficient. Economic growth will surge. Humanity, we are told, is standing on the edge of an age of abundance unlike anything in history.
Maybe they’re right.
But if you’re part of the Bitcoin community, you’ve probably learned to become skeptical whenever someone claims that technology alone will solve economic problems. Bitcoiners have spent years questioning assumptions that much of the financial world simply accepted as fact. Unlimited money printing creates prosperity. Debt can grow forever. Asset inflation is a sign of economic health. Central planners can manage complex economies better than markets can. Time and again, Bitcoiners looked at these claims and asked a simple question: compared to what?
The promises surrounding artificial intelligence deserve the same scrutiny.
The reason is simple. We’ve heard this story before.
During the 1990s and early 2000s, globalization and the internet were sold as humanity’s next great leap forward. Trade barriers were falling. The Cold War had ended. China was entering the global economy. Supply chains stretched across continents. The internet connected billions of people for the first time. Economists and political leaders spoke confidently about a future where efficiency, trade, and technology would make everyone wealthier.
The argument sounded straightforward. Move production to wherever it can be done most efficiently. Lower costs. Increase productivity. Expand global trade. Everyone wins.
In many ways, those predictions came true.
Consumer electronics became dramatically cheaper. Clothing became cheaper. Access to information became almost free. A smartphone in your pocket contains more computing power than governments possessed a few decades ago. Global poverty fell significantly. Human beings genuinely became more productive and more technologically capable than any civilization in history.
The abundance was real.
Yet many people in developed economies experienced something very different from the promised future. Housing became more expensive. Healthcare became more expensive. Education became more expensive. Childcare became more expensive. Asset prices rose faster than wages. Stable middle-class jobs became less secure in many communities. For millions of people, the essentials of middle-class life moved further away even as televisions, computers, and consumer goods became cheaper every year.
This wasn’t a failure of productivity. It was a question of distribution.
The gains from globalization arrived. They simply didn’t arrive equally.
Bitcoiners already understand this dynamic better than most people because they have spent years discussing how money moves through an economy. When central banks create new currency, that money does not arrive evenly across society. It enters through governments, banks, financial institutions, and asset markets. Those closest to the source of new money benefit first. Asset prices rise. Stocks rise. Real estate rises. Wages react more slowly. Savings lose purchasing power.
Economists call this the Cantillon Effect.
Bitcoiners simply call it reality.
Now apply the same logic to artificial intelligence.
Who owns the models? Who owns the data centers? Who owns the compute infrastructure? Who owns the robotics companies? Who owns the intellectual property? Who owns the energy infrastructure powering this new economy?
If artificial intelligence dramatically increases productivity, where will those gains accumulate first?
The answer appears obvious.
The owners of productive AI assets will receive the benefits before everyone else.
Just as those closest to the money printer benefited first during the fiat era, those closest to the intelligence infrastructure may benefit first during the AI era.
This may become the biggest misunderstanding surrounding AI. People often assume that productivity automatically creates prosperity. History suggests otherwise.
Imagine a company employing one thousand workers. Artificial intelligence allows that same company to produce the same output with one hundred employees. From an economist’s perspective, this is a tremendous success. Productivity rises. Costs fall. Profits increase. Consumers may benefit from lower prices. GDP rises. Investors celebrate.
But from another perspective, nine hundred workers just lost bargaining power.
The productivity gains still exist. The question is where they went.
This is not a new problem. Mechanized farming reduced agricultural labor. Industrial factories reduced artisan labor. Computers reduced clerical labor. Automation reduced manufacturing labor. Every major technological shift creates winners and losers before society eventually adapts.
The problem is that transitions often take decades.
People do not experience economic change through GDP charts or productivity statistics. They experience it through mortgage payments, rent payments, grocery bills, and healthcare costs. An economy can be booming while households feel financially trapped. Both realities can exist at the same time.
Bitcoiners have long argued that technology is naturally deflationary. Deflation simply means that productivity improvements allow more goods and services to be produced with fewer resources over time. A television that once cost several months of wages can now be purchased after a few days of work. A smartphone contains technologies that would have cost millions of dollars only a generation ago.
Technology constantly pushes prices downward.
Artificial intelligence may become the most deflationary technology humanity has ever created. Software development costs could collapse. Legal research costs could collapse. Design costs could collapse. Customer service costs could collapse. Medical diagnostics could become dramatically cheaper. Education could become more accessible and affordable than at any point in history.
This creates a problem for debt-based monetary systems.
Modern economies are built on continuous expansion of debt and credit. Governments, corporations, and households all rely on future growth to service existing obligations. Deflation makes debts harder to repay because money becomes more valuable over time rather than less valuable.
Bitcoiners have discussed this tension for years.
Artificial intelligence may accelerate it dramatically.
If AI reduces labor demand while simultaneously lowering prices, political pressure for intervention will emerge quickly. Governments rarely tolerate high unemployment. Central banks rarely tolerate deflation. The likely response is not difficult to imagine. More government spending. More debt issuance. More monetary stimulus. More currency creation.
Ironically, AI abundance may lead to more monetary intervention rather than less.
The more productive machines become, the greater the pressure may become to preserve consumer purchasing power through monetary policy.
This creates an unusual future. Machines become more productive. Goods become cheaper. Productivity rises. Yet currencies continue losing purchasing power as governments attempt to stabilize the transition.
Bitcoiners understand this dynamic instinctively.
Industrial capitalism relied on a relatively simple feedback loop. Workers produced goods. Workers earned wages. Workers purchased the goods they produced. Henry Ford famously paid workers enough to purchase the cars they built because production and consumption reinforced one another.
Artificial intelligence may fundamentally challenge this relationship.
If intelligence itself becomes abundant, what happens to labor markets built around selling intelligence?
Software engineering. Accounting. Legal analysis. Marketing. Customer service. Financial analysis. Education. Many of the professions that defined the knowledge economy could become partially automated over time.
This does not mean work disappears.
History suggests new forms of work emerge.
The question is timing.
The people displaced during economic transitions are rarely comforted by promises that future generations will benefit from changes occurring today.
Bitcoin may become increasingly important in this world for reasons that have little to do with speculation. As productivity accelerates, economies need a stable measuring stick. Fiat currencies constantly change in supply. Their purchasing power shifts over time. Their value reflects political incentives as much as economic fundamentals.
Bitcoin operates differently.
Its supply is fixed. Its issuance schedule is transparent. Its monetary policy cannot be altered to respond to political pressure.
In a world experiencing rapid technological deflation alongside aggressive monetary expansion, scarce money may become more important rather than less important.
The more abundant the world becomes, the more valuable scarcity becomes.
Imagine a future where artificial intelligence can create books instantly, music instantly, movies instantly, software instantly, advertisements instantly, and images instantly. Intelligence becomes abundant. Creation becomes abundant. Digital content becomes effectively infinite.
What becomes scarce?
Trust becomes scarce.
Authenticity becomes scarce.
Human attention becomes scarce.
Energy becomes scarce.
Time becomes scarce.
And money that cannot be printed becomes scarce.
Bitcoin’s value proposition may actually strengthen in a world where almost everything else becomes easier to produce.
This remains the central question surrounding artificial intelligence.
Suppose AI creates extraordinary wealth. Who owns the productive assets? Who receives the profits? Who benefits first?
History suggests these questions matter more than the technology itself.
Globalization created abundance. The internet created abundance. Social media created abundance. Cloud computing created abundance.
The question was never whether wealth was created.
The question was where it accumulated.
Bitcoiners are not anti-technology. Bitcoin itself is technology. Many Bitcoiners are among the earliest adopters of artificial intelligence tools and automation systems.
The skepticism runs deeper than that.
Technology changes what civilization can produce.
Money determines how those gains move through society.
The abundance promised by AI may be real. The productivity gains may be extraordinary. Medical breakthroughs may accelerate. Scientific progress may compound faster than at any point in history.
But Bitcoiners have lived through enough monetary experiments to understand something important.
Production is not distribution.
Wealth creation is not wealth participation.
An economy can become richer while citizens feel poorer.
A society can become more productive while households become more financially fragile.
These outcomes are not contradictions.
History suggests they happen more often than we would like to admit.
The promise of AI abundance sounds remarkably similar to the promise of globalization abundance. Both involve extraordinary increases in productivity. Both involve lower costs. Both involve technological transformation. Both promise rising prosperity.
Perhaps this time the outcome will be different.
Perhaps institutions will adapt.
Perhaps the gains will spread more broadly.
Perhaps abundance will become democratic.
Bitcoiners are not rejecting that possibility.
They are simply asking the question history taught them to ask:
Who gets the abundance first?
Because the answer to that question may determine whether artificial intelligence becomes humanity’s greatest prosperity engine or simply the most efficient wealth concentration machine ever created.
Technology determines what is possible.
Money determines who benefits.
The coming decade may be the first time in history where humanity is forced to answer both questions at the same time.