A harsh truth regarding the actual character of the changing nature of property is the following: In many cases, what we are truly "renting" is the operational or monetary value of what we assume belongs to us. And this renders the value of private property ownership far more precarious and dependent on market conditions than we realize. What we "own" seems obvious at first glance. In reality, however, the concept of ownership is far more complex. Yes, we own a property for which we hold a title deed, or a work for which we possess the intellectual property rights. What we do not own, however, is the valuation assigned by the market to this asset. And that precise valuation, in practice, is something we merely "rent."
The value of an asset is not identical to its ownership
Let us take a simple example: a casino chip worth 100 dollars. As long as the casino operates normally, it carries a value of 100 dollars. Yet if the casino suddenly files for bankruptcy, we still possess the plastic object. We no longer possess, however, its previous monetary value. The token may retain some collectible value, but it will likely be negligible. The 100-dollar value vanished, even though the physical item remains in our hands. This reveals something crucial: We did not truly own the monetary value of the chip. We were "renting" it from the system that imparted that value. And that system—the casino, the market, the economy, the credit environment—lies largely beyond our personal control.
Asset market bubbles reveal the illusion of ownership
The confusion over what we actually own becomes starkly visible when asset market bubbles burst. As a stock or housing bubble expands, it is natural to feel that we possess accumulating wealth. We observe the value of our stock holdings surging, our home price skyrocketing, or the valuation of another asset multiplying. Psychologically, we assume we have "acquired" wealth. In reality, however, we still only own the shares, the real estate, or the contract. Their stock market or commercial valuation is dictated by factors largely outside our domain: interest rates, liquidity, credit conditions, economic growth, investor expectations, policy decisions, and systemic confidence. In other words, through our ownership, we "rent" the valuation that the market grants to the asset. When the bubble pops, the perceived wealth evaporates—even though we still hold the exact same asset. The home remains a home. The shares remain in our possession. What was lost is the market valuation metric previously assigned to them.
When ownership is built on debt
The situation becomes even more complex when we purchase assets with borrowed money. As long as the value of the asset exceeds the scale of our debt, we hold positive net worth. For instance, if we purchase a property valued at 500,000 euros with a mortgage loan of 300,000 euros, the theoretical net value of our equity stands at 200,000 euros. But what happens if the market collapses and the property's value plummets to 250,000 euros? Our debt remains fixed at 300,000 euros. We still hold title to the real estate, yet the net monetary value of our ownership has turned negative. This unveils an even deeper uncertainty: owning an asset does not necessarily mean possessing wealth. If our liabilities surpass the market value of assets, then from a strictly financial standpoint, we possess no positive net equity.
Global debt and the promise of future income
The same logic applies on a broader scale to the macroeconomy. We may hold rights to a pension, an insurance policy, or another future benefit. Yet those rights depend on another entity's ability to fulfill the corresponding obligation. A pension, for example, represents an asset to us and a future liability for someone else—the state, a pension fund, or an organization. If, however, global debt obligations absorb all available income, the very concept of "ownership" becomes exceptionally fragile. Our wealth consists not merely of what sits on our balance sheet. It relies equally on the financial system's capacity to sustain the underlying value of those assets.
Even the tools we "own" depend on third parties
The exact same phenomenon manifests within the digital economy. We all know that a hardware device we assume we "own"—a smartphone, a computer, or another electronic device—can essentially turn into a useless object if we lose access to the software providing its functionality. We might "rent" that software via subscription or assume we purchased it outright. Yet the governing corporation can decide that the specific version is no longer supported. Suddenly, the operational utility of the device we "own" hinges on a decision made by someone else. Once again, physical possession of an item does not guarantee total control over its functional or economic utility value.
The difference of a hammer
Compare that setup to something as basic as a hammer. A hammer functions independently of any external provider. It requires no subscription, licensing agreement, software patch, or server connection. As long as we hold physical possession and it remains intact, we exercise direct control over its operation. That represents an entirely different class of property ownership. And right here is where the critical debate around artificial intelligence tools begins.
Artificial intelligence and the new form of "rented" value
Artificial intelligence offers an even more striking illustration. We do not truly purchase most AI utilities. We lease them as a service, paying a recurring monthly or annual fee. Even when downloading software locally under the impression of "ownership," the developer retains major control over its core functionality. They can alter terms of service, discontinue support, adjust feature sets, or render an older build obsolete. The value derived, therefore, rests upon digital infrastructure and decisions completely outside our direct sphere of influence.
Do we at least own the content we create with AI?
Yes—though an important economic caveat applies here as well. We may retain legal rights or control over the content generated with artificial intelligence assistance. However, as AI platforms and automated agents turn into mass commodities, the scarcity of generated content diminishes rapidly. If millions of individuals can instantly produce similar text, imagery, code, music, or analytical data, the economic value of that specific output can evaporate. In economic theory, scarcity serves as a foundational component of market value. Artificial intelligence holds the power to make abundant what was previously scarce: cognitive output and content production capacity. Thus, while legal ownership of generated content remains real, its actual market value can decline drastically.
What truly belongs to us when all machines are powered off?
Here, the core argument becomes even more compelling. When discussing the "ownership" of human knowledge and cognitive ability, perhaps the sole property we genuinely own is what we retain and can create when all AI systems and digital network infrastructures are offline. In other words, true ownership can be defined as: everything we fully control without depending on external conditions or third-party authorization. From this perspective, personal knowledge, practical experience, judgment, and the capacity for independent thought acquire unique value. Everything else—what we "rent," borrow, or acquire conditionally—is far less ours than we assume.
Are we renting AI, or is AI renting us?
This raises the ultimate paradox. When paying to use artificial intelligence, we assume we are renting the AI tool. What if, in reality, the inverse is occurring? If our insights, decisions, creative inputs, data points, and intellectual labor are harvested to train, refine, and expand generative AI systems, then a strong case exists that AI is "renting" our cognitive labor. The core issue extends beyond who owns the software. It centers on who controls the economic value creation derived from it.
The major shift in the concept of ownership
In many instances, what we are truly "renting" is the operational or monetary value of what we assume we own. This does not mean that property ownership is a complete illusion. It means that the economic value of property remains deeply contingent on factors outside our direct governance. We may own a physical house, but not its market price. We may own corporate equities, but not their market valuation. We may own a bond, but not the issuer's ultimate repayment capacity. We may own a hardware device, but not the code endowing it with function. We may produce content, but not the market scarcity that yields economic value. And we may use artificial intelligence, without controlling the underlying infrastructure that dictates its capability. Perhaps the most secure form of property ownership is that whose fundamental value relies on no external party. This reality renders the concept of "ownership" far more relative, significantly more vulnerable to macroeconomic shifts, and vastly less secure than traditionally assumed.
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