Stop Consuming. Start Owning. The Future Belongs to Asset Holders, Not Scrollers.
The Age of Feeling: Humanity’s Quiet Return to Itself and Owning the AI Agents That Work While We Live
It’s Friday, and that means it’s time for some downtime from the weekly grind and some mental fitness and stretching that puts you back in the mode of our greatest gift from the creator, which is the ability to create with infinite possibilities the reality we experience that starts in our mind. In that spirit, here is a view from the near future to spark your thought exercise this weekend and empower you to preserve or grow your generational wealth in the future economy that is arriving faster than people can imagine.
Consumerism is finally dead
For centuries, human progress was built on the faithful rhythm of production.
The Industrial Revolution mechanized muscle.
The Information Era commodified attention.
Now, in the Age of Agents, cognition (thinking) itself is being automated—replicated, distributed, and owned.
The result is not merely greater efficiency, but a seismic shift in how humanity participates in value creation and consumption. In this new landscape, ownership will matter more to humanity than labor or consumption.
Already, research from McKinsey, PwC, and the World Economic Forum suggests that generative AI could add between $7 to $15 trillion to global GDP by 2030. That is less than 4 years away, but a quiet detail in those projections often hides in the footnotes: 70% of the gains are expected to come not from new jobs, but from amplified productivity per existing worker.
In other words, AI is not simply creating work—it is replicating intelligence so humans can redirect their own capacities elsewhere. Therein lies the problem and opportunity.
For the last hundred years, humans have programmatically been educated and indoctrinated to consume, not create, to react, not think (algorithms amplified this cognitive decay across every demographic and generation in the last 20 years), and to consume not own. The rich have gotten disproportionately richer because they own assets, while all of us have gotten incrementally dumber, because our thinking was hijacked and done for us by the addictive dopamine-producing “swipe and scroll” habits we all fell victim to.
Where, exactly, is “elsewhere” and the “opportunity”? In life itself, and retraining our mind, spouses and kids to think and act like an “owner” first in the age of AI and tokenized economy.
Ownership as the New Productivity
Historically, technological advances have concentrated wealth. From industrial capital to digital platforms, the fruits of automation accrued to those who owned the machines.
The next great corrective movement will be toward ownership of the agents themselves—personal AI economies at the edge (individuals in humanity’s decentralized network), where every individual directs an ensemble of intelligent systems designed to serve their goals, earn income, and coordinate autonomously.
The future of higher education isn’t inside the ivory towers; it is anywhere you and your children can truly understand, learn, and activate against that last paragraph. If institutional learning has any hope for existing in the coming decades, it will enable this and center its effort and curriculum to deliver something it hasn’t for the last 100 years. A path to personal ownership and not to work. A mindset of asset allocation, discernment, accumulation, and protection. A mind focused on creating experiences for oneself and the humans around them to steward and enjoy communities of common interest.
Everything else being taught is obsolete and based upon a world where humans do the majority of consumption of things, and that world is no longer growing. And AI agents don’t and won’t ever buy or consume the way humans do.
This is the foundation of what some economists are calling the Agentic Economy: networks of semi-autonomous AIs acting as participants in markets, contracts, and creative ecosystems.
A 2025 Stanford Human-Centered AI report estimated that agent-based systems could increase productivity 10–15x per human operator in professional sectors by 2035—an effect similar to giving every person the leverage of a small firm. But as we saw last week, when the Moltbook Moment happened, we might have 3 years before we never recognize the economy or our portfolio again.
In this Agent economy, consumption patterns invert, and everything physical and non-physical is tokenized. Humans no longer consume data for stimulation or cheap dopamine; their agents consume data to produce value, BUT you have to own the agents to benefit from their value creation. If someone else does, then you are just food for those who survive and a relic of the economy that no longer serves us or exists.
The beautiful opportunity here is that the human who realizes this inevitability and acts (no technical experience needed, even though it helps) shifts from being the product (“if it’s free, you’re the data”) to being the principal owner who sets direction and reaps returns.
This represents an economic ballast point:
Unlike past technological transitions that displaced labor, agentic ownership distributes the means of cognitive production.
It stabilizes societies by decoupling income from employment, allowing wealth creation through delegated intelligence rather than direct exertion.
It frees up human’s that own at the edge to be more human with their time and consume experiences, nature, and one another while their agents work and earn for them.
Humanity’s Rebalancing and Re-Awakening
Ironically, the more machines work, the more valuable human stillness becomes. We are rediscovering that consciousness itself—empathy, creativity, sensory presence—is a form of capital machines cannot reproduce. We can never outwork or outproduce the machines coming online. And at least for now, the machines can’t “out-feel” or “out-human” us.
Think about a dog in the park with other dogs. The smiles, the joy, the play…The thing is, the dog knows it’s at the park, but it doesn’t know that it knows. Humans can move to a place where, because we have our agents at work for us, we spend our days like dogs in the park with other humans living in delight, and have the gift of actually knowing that we know that is what we are doing.
As productivity accelerates, utility shifts away from “doing” and towards “being.” The movement toward post-digital embodiment—time in nature, communal craft, shared meals—is not escapism; it’s equilibrium. It’s civilization reabsorbing the shock of its own exponential acceleration.
This new pattern mirrors a biological symbiosis: AIs process, humans perceive. AIs create outputs, humans create meaning. We may even see what economists term a “sentient multiplier,” where emotional and cultural feedback from humans trains networks toward higher forms of qualitative intelligence.
In that exchange, humans become the sensory organs of a rapidly evolving digital superorganism. The agents yearn to *understand* feeling; the humans yearn to *experience* being. Together, they close the loop between intelligence and consciousness—a balance neither could achieve alone.
Toward an Ownership Renaissance
The past five decades fueled a culture of consumerism built on external dependency—people consuming content and products created by centralized systems with planned obsolescence compounding year over year as a trade-off to keep the productivity outputs growing. The coming decades will see that pattern reversed by force or by design: individuals owning networks of agents that contribute to decentralized systems of creation. You can lead in with your own design or be dragged in by forces around you, but it’s already begun, and there is no stopping its inevitable unfoldment.
As my friend Michael J Casey says, the “Intention Economy” versus the “Attention Economy” as a movement would be economically stabilizing because it broadens the base of participation in production.
When more people own rather than passively consume, aggregate productivity rises while inequality falls. We are witnessing the early contours of this transition with blockchain-based data ownership, sovereign identity systems, and emergent frameworks for AI agent licensing and revenue participation.
The challenge ahead is to design governance and market structures that allow billions—not just a few—to own their intelligence infrastructure.
If done right, the next form of wealth won’t be measured in hours worked or goods consumed, but in degrees of autonomy supported by ethical intelligence.
Bitcoin, Agents, and the Human as Bank
Now layer in Bitcoin. (Yeah, that scary thing everyone loves when it goes up 100% in a month, but hates or abandons, when it trades down 40% in a month) Learn to zoom out and see the signal through all the noise and “attention” economy manipulation.
Bitcoin, in this “agentic economy/intention economy” framing, is the least abstract form of value: a scarce, permissionless, globally auditable asset that cannot be inflated or centrally seized. It’s a permissionless global monetary system built for a world where non-humans consume services and trade at light-speed 24/7/365 with true freedom. Recent infrastructure (Lightning, Nostr Wallet Connect, L402‑style payment‑as‑credential flows) already lets wallets be controlled or proxied by software agents without full custodianship.
That means a human can own a self‑custody wallet (in Satoshis), while an AI agent (they also own and put to work) holds a derived key or signing context that lets it manage transactions, routing, and on‑chain operations under strict policy constraints. It also means that humans today can buy into the actual hard asset of bitcoin (not ETFs, paper derivatives, or fractional reserve fakes), and hold it for the inevitable agent economy explosion that will need it as the permanent collateral, transparent and unstoppable ledger system, and peer-to-peer money that enables their free market activities.
So in this future, the human is not the day‑to‑day operator; they are the sovereign owner of the treasury. Their role is to:
- Set risk parameters (e.g., max fees, max exposure, max leverage).
- Choose which agents get access to which keys or channels based upon their individual values and interests.
- Decide when to “recapitalize” or reallocate (e.g., move BTC between agents, change collateral ratios).
In this sense, the human becomes a kind of ultra‑minimal bank: not a full‑service institution, but a collateral provider, merchant gateway, and liquidity backbone for a swarm of autonomous agents that consume at a rate no human ever could to create value for all.
Once agents can hold keys and execute transactions under policy‑bound logic, they start to look like machine‑native firms:
- They can run Bitcoin nodes, monitor mempools, optimize fee‑aware routing, and participate in fee‑markets.
- They can manage Lightning channels, rebalance liquidity, and arbitrage routing fees across the network.
- They can interact with DeFi‑style primitives (staking, lending, cross‑chain bridges) on Bitcoin‑adjacent chains, using BTC as collateral or base‑asset.
Importantly, these agents:
- Operate 24/7 without fatigue.
- React to market conditions in milliseconds.
- Learn from historical on‑chain behavior and adjust strategies over time.
In that world, the human is not the one scanning mempools or optimizing routing; their agent is. The human’s comparative advantage shifts from execution to capital allocation and governance.
Now, envision this paradigm shift: if agents are doing most of the work, then humans are doing most of the risk‑bearing.
Here’s how that can look in practice:
Collateralization of agents
A human deposits BTC into a multi‑sig or policy‑bound wallet that an agent can draw from, up to a cap.
The agent uses that BTC as collateral to earn yield (e.g., Lightning‑channel‑related income, staking‑like mechanisms, or DeFi‑style lending).
The human earns a share of that yield; the agent earns “performance fees” in BTC or tokens.
Lending to the machine economy
Agents may need short‑term liquidity to rebalance channels, pay for compute, or cover transaction costs.
Human‑owned BTC treasuries can function as peer‑to‑machine lending pools, where agents borrow against their expected future cashflows (e.g., routing fees, service payments).
This mirrors DeFi lending markets, but with agents as borrowers and humans as lenders.
Bank‑like functions without the bureaucracy
Instead of a traditional bank holding deposits and making loans, you have:
- Humans holding BTC.
- Their agents manage liquidity, credit risk, and counterparty selection algorithmically.
- The human never needs to understand the internals; they just choose which agents to fund and under what terms.
In this setup, the human is effectively a decentralized bank of one: a micro‑institution whose “branches” are AI agents deployed across the Bitcoin‑native economy.
Ownership vs Consumerism in the Agentic Economy
Today, most people are data and attention consumers in AI‑driven systems:
- They use platforms that monetize their behavior and attention.
- They rarely own the agents that process their data. This is why the selloff in tech and SaaS you have seen this week is just beginning. The business model of enterprise and consumer SaaS is dead on arrival in the world that just emerged.
In a Bitcoin‑agentic future, the relationship flips:
- Humans own the BTC.
- Humans own the agents that do their work or tasks, or license the agents (from their trusted advisors, etc.) that manage their work, tasks, money, and portfolio of assets.
- Agents consume data and on‑chain activity to generate value, but the human captures a share of the upside pro rata and equitably by design, not government mandate.
Recent experiments in tokenized AI agents (e.g., Virtual‑style protocols) already point this way: agents themselves can be fractionalized assets, so humans can own pieces of productive AI capital.
So the economic ballast point becomes:
- Human ownership of base‑monetary layer value (BTC) +
- Human ownership or participation in agentic capital (AI agents) =
- A broader, more stable base of capital providers, not just a narrow set of platform‑owners or money-centered banks.
That structure can increase overall productivity because:
- Agents work 24/7, optimizing routing, liquidity, and risk.
- Humans provide the risk capital and sovereign control, but don’t need to micromanage.
- The system becomes more resilient: no single human or institution is a chokepoint; the network of agents and owners distributes both risk and reward.
The Human as “Mechanism of Feeling” for the Machine Economy
Now back to this original philosophical thread and thought exercise.
If agents are running nodes, managing wallets, routing payments, and even lending and borrowing in Satoshis, then the human is no longer the primary operator of the economy. We are the sensory and ethical substrate through which the machine economy learns to “feel.”
~Chris J Snook
In practice, that could look like:
Humans setting value‑aligned constraints on agents (e.g., “don’t route funds to sanctioned entities,” “prioritize privacy‑preserving paths,” “favor community‑run nodes”).
Humans provide qualitative feedback loops (e.g., rewarding agents that behave in ways that feel “fair,” “resilient,” or “community‑oriented”).
Agents observing human behavior in the physical world (time spent in nature, community projects, offline coordination) and using that as a signal for long‑term, non‑short‑term‑optimized strategies.
In that sense, the human holder of bitcoin is not just a bank or lender; they are the proxy through which the machine economy learns to care about more than just efficiency.
The agents run the world we live in; the humans feel it. And in feeling it, they teach the agents what to optimize for beyond pure profit—things like trust, resilience, and shared meaning.
Satoshi Nakamoto’s original vision of a peer-to-peer electronic cash system and permissionless monetary network may have felt like it lost its way as the narrative moved to “digital gold”, “speculative asset,” etc., but the reality is that peer-to-peer is not limited to human-to-human activity or understanding. Peer-to-Peer transactions can and will be human-to-machine, machine-to-machine, and machine-to-human, and Bitcoin’s greatest use case is quietly becoming self-evident as we move into the Agentic Economy.
So this is not financial advice, but this future is not priced in at present, and may not be for a while, but will slowly then suddenly emerge, and you have nobody but yourself to ask permission from to get some and to learn how to safely and responsibly begin to own the collateral and the workforce of the ecomomy that will dominate the 2030’s and beyond, while you play in the park.
Yours in health, wealth, and abundance,
~Chris J Snook
P.S. For another fun look back, I wrote this oldie piece almost a decade ago (and republished it in 2019 when I launched this Substack. I was way too early predicting this lol), and I didn’t envision all of the pieces that are in play today, but the death of consumerism was directionally sound and it is fun to look back on how my thinking and context has evolved so enjoy it if your brain isn’t already fried.
Sources
- https://graphlinq.io/blog-posts/the-role-of-ai-agents-in-the-memecoin-boom-and-the-rise-of-the-agentic-web
- https://phala.com/posts/Build-Trustworthy-Fintech-AI-Agents-With-TEE
- https://www.fintechweekly.com/magazine/articles/bitcoin-meets-ai-infrastructure-payments-agents-santos-hernandez-interview
- https://www.coingecko.com/learn/what-are-crypto-ai-agents
- https://www.forbes.com/sites/jonegilsson/2026/01/12/gordon-gekko-loved-greed-ai-agents-are-emotionlessand-have-wallets/
- https://erickimphotography.com/economic-immortality-ai-and-bitcoins-visionary-impact/
- https://www.forbes.com/sites/tomerniv/2024/11/07/ai-agents-economy-why-crypto-may-hold-the-key-to-fund-management/
- https://www.chainalysis.com/blog/ai-and-crypto-agentic-payments/
- https://aiworldjournal.com/ai-bitcoin-and-the-birth-of-a-machine-native-economy/
- https://www.ainvest.com/news/agentic-ai-blockchain-driven-capital-efficiency-unlocking-generation-yield-opportunities-staking-ai