AUTONOMICS MANIFESTO
“Autonomics”. Copyright 2026. nextlevelcorporate. nextlevelcorporate prompts, AI image.
TL; DR
Last year, I shared with my newsletter readers a body of work that first took shape in 2008. Almost a generation ago. With recent global events, its full arc has finally revealed itself, and in September last year, I presented it as a manifesto for the next human epoch.
Today I wanted to reshare it with some minor updates since Anthropic released its agentic AI suite, with agentic technologies forming a key organic element of Autonomics.
So, get ready, get set, let’s go again!
The Autonomics Manifesto brings my journey of thought together in one place. For anyone interested in the intersection point of macroeconomics, corporate development strategy, personal investing, technology, and futurism, it’s essential reading.
Why? Because the industrial age scaled machines, and capitalism scaled ownership. Now, a new economic, social, and political system, what I call Autonomics, is emerging to scale intelligence.
Although the technology is already here, we are in a transition period. Governments and regulators, in time, will have little choice but to accommodate its inevitability.
First of all, my vision of Autonomics was born in the over-supplied monetary aftermath of the GFC (around the same time as Bitcoin had its genesis), socially and geopolitically accelerated by COVID, Russia’s invasion of Ukraine, Trump2.0; and finally, supercharged and revealed by OpenAI, and more recently validated, or perhaps “shocked into existence” by Anthropic’s AI agents and OpenClaw.
Second, it’s a system where value no longer comes from owning land, hiring labour, or forming capital. And that’s the key. The old “physical” factors of production are losing their relevance.
With that context in place, Autonomics describes an autonomous economy where value is directly driven by the ability of any entity (physical or synthetic) to leverage autonomy, deploying intelligent agents that learn, work, move, transact, and act independently on a decentralised productivity substrate.
Put another way, Autonomic power lies not in what you can build with your hands (the old factors), but in what you can instruct, automate, and scale with your mind (the new factor) without conscious effort and human micromanagement.
In my vision of Autonomics, brick-and-mortar factories are replaced by compute clusters. Workers are replaced by agents. Managers are replaced by prompts. Bricks and mortar institutions dealing with taxes, royalties, social security and the like are replaced with blockchain.
Value accrues to those with the clearest intention, the best architecture, and the most effective autonomous leverage: Intention. Architecture. Leverage.
In its final form, Autonomics will fundamentally change how (and with whom or what) Homo sapiens will live, work, and interact with the built and unbuilt world (on this and perhaps other planets) to satisfy their collective needs and wants.
Driven by rising global debt and shrinking productive demographics, the shift to an Autonomic Economy also carries a silver lining. It offers the chance to reset and build a brighter, more accessible, inclusive, and intelligent future where programmatic trust replaces multiple layers of industry, bureaucracy, legislature, and enforcement. Programmatic institutional reform is already in our technological grasp.
And if workflow productivity benefits can generate rates of nominal GDP significantly above borrowing rates, governments can start to pay down sovereign debts, reversing the effects of profound dollar debasement.
So, let’s dig into my Autonomics Manifesto.
Autonomics, the next macroeconomic regime
It’s important to understand that Autonomics enables a macroeconomic regime shift.
As artificial intelligence, autonomous agents, and scalable compute reshape production, the foundational assumptions of capitalism: land, labour, and capital as the scarce inputs are rapidly dissolving. In their place arises a new economic system driven by compute, code, attention, and intention.
This paper introduces Autonomics, my vision of a post-capital economic architecture where the marginal unit of work is no longer performed by humans, but by swarms of autonomous cognition, and where we don’t scale teams, we scale intelligent intent.
Autonomics has the potential to solve for ageing-demographics/falling productivity, redefine the concept of ownership, rebalance economic opportunity/accessibility, and even offer a pathway to retire the TIFFIT-QE Infinity train to nowhere by resolving longstanding structural debt burdens and profound monetary debasement.
Without it, and at current rates of monetary debasement, dollars will soon be as plentiful and useless as un-melted grains of sand.
Why do I call it “Autonomics”
I use the term "Autonomics" because it echoes the autonomic nervous system. And that’s the biological system responsible for automatically regulating vital body processes like heartbeat, breathing, and digestion without conscious effort.
Like its biological namesake, the Autonomic Economy functions beneath the surface. Adaptive, always-on, and capable of self-regulation. It doesn’t require constant top-down control. It responds, adjusts, and optimises itself across networks of autonomous agents, just as the human body’s autonomic system balances sympathetic stimulation and parasympathetic inhibition to maintain homeostasis.
Where the biological autonomic system keeps the body alive, Autonomics keeps a new digital-economic organism thriving.
This analogy isn’t exact, and I’m blurring reality because the economy is not a biological construct, but I am being intentional. Intentional because my comparison signals a shift away from human-led centralised economic models to a distributed, reflexive, and intelligent economy where processes run on systems. Programmatic trust-based systems.
The goal of Autonomics is not to mimic the human nervous system, but to build a global economy that runs with similar self-directed resilience and programmatic trust.
The obsolescence of classical factors
The traditional economy was built on productive factor scarcity:
Land was the physical foundation of value.
Labour drove output.
Capital funded and scaled businesses.
Entrepreneurship allocated risk and reward.
But in the Autonomic economy:
Cloud compute replaces land.
Agentic AI (virtual and physical) replaces labour.
Open-source models and workflow automation reduce capital intensity.
Intention, not effort, becomes the most leveraged asset.
Think of it as follows:
Compute is the finite substrate of intelligence, the digital land.
Code (and the agents it powers) is the execution engine replacing human labour.
Attention becomes currency in a world where intelligence is infinite.
Intention is the ultimate economic driver and the ability to design, direct, and deploy AI and agentic systems to meaningful ends.
The result? We are no longer constrained by the availability of people, places, or basic machines, but by our clarity of intent and capacity to direct autonomous systems toward value creation.
From capitalism to Autonomics
Capitalism scaled labour through machines. Autonomics scales cognition through intelligence.
In capitalism, production grows by employing more people or investing more capital, whereas in Autonomics, production scales by deploying more agents under smarter intent.
The marginal cost of output approaches zero, and value accrues to those who orchestrate, not operate, meaning that it’s no longer about how much you can own or employ.
It’s about how effectively you can leverage intelligence that is synthetic and infinitely scalable, subject of course to power availability.
Unit of exchange, the currency of Autonomics
In traditional economies, money represents value exchange backed by trust in institutions and governments.
In Autonomics, institutions are automated, and the unit of exchange operates differently to accommodate 24/7, borderless, autonomous activity, including machines autonomously exchanging value with other machines.
This currency will likely be:
Tokenised and programmable. Embedded in smart contracts to enforce “trustless” transactions and automated settlements, entirely mitigating counterparty risk.
Compute-backed. Valued against the availability and usage of compute resources, the fundamental scarce substrate.
Attention-weighted. Reflecting the real economic cost of human focus and time as a scarce asset in a world flooded by never-ending tsunamis of information.
Interoperable. Compatible across different agent networks, blockchains, platforms, and geographies, enabling seamless global trade without traditional financial intermediaries.
Such a trustless, permissionless, and fully composable unit creates a self-sustaining digital GDP that flows fluidly within and between autonomous economic actors, incentivising contribution, innovation, and alignment without the friction and cost of intermediated borders or time zones, with zero debasement.
Programmatic governance and Code as Constitution
Autonomics demands governance that is:
Transparent. Rules are encoded in open source, auditable protocols.
Adaptive. Policies evolve through algorithmic consensus and real-time data feedback.
Decentralised. Authority is distributed among autonomous agents and stakeholders, removing reliance on centralised governments.
Enforceable. Smart contracts execute and enforce rules automatically, minimising dispute friction.
This system can implement everything from dispute resolution to resource allocation, taxes, and collective decision-making without human bottlenecks.
Not unlike programmatic value exchanges, programmatic governance is not just efficient. It is resilient and inclusive by design and offers a new social contract that aligns incentives across synthetic and human participants alike.
The end of prompting? Yes.
Prompting is the primitive interface of AI. The dress rehearsal.
Autonomics doesn’t run on prompts. It runs on delegation and when LLMs require instructions, autonomic systems execute goals:
Agents coordinate with other agents.
Tasks persist over time and update dynamically.
Humans shift from operators to designers, architects and directors.
Agents build new agents.
Prompt engineers slowly became intent architects, for want of a better term. And since agentic AI is now walking, seeing and doing, and products like Sora are redefining passive versus active communication between human and machine, the world is already a very different place.
Human as architect, no longer as operator
Humans in the Autonomic regime don’t need to outperform AI, they need to direct it.
The winning skillset is not craft but clarity. For example:
Can you define valuable outcomes?
Can you design agentic systems to pursue them?
Can you monitor, adapt, and steer autonomous workflows?
In short, you don’t work the system, you architect and orchestrate it.
A pathway to repaying the global debt stack?
What if Autonomics isn’t just a productivity boost, but a macroeconomic off-ramp?
Debt is now growing faster than GDP. More of it must be rolled or refinanced, and even at moderate interest rates the global debt stack keeps rising. Debt becomes unproductive when it only covers past obligations or fuels speculation that fails to lift GDP. We’re already there and have been since the GFC.
At scale, traditional fiscal tools also break down. Government spending eventually must be monetised by central banks, which inject new reserves into the banking system. As banks lend against these reserves, new money enters circulation, perpetuating and entrenching monetary debasement and a debt spiral.
This means government treasuries and central banks have to work together to keep governments financed, while preserving the economic collateral base. I refer to this as TIFFIT, which is short for “Treasury if Fed, Fed is Treasury” and a sign that we’re in the final quarter of a highly inflationary system of money and credit.
And when I use the term “inflationary”, I am referring to first circle monetary inflation/currency debasement.
But if the cost of traditional inputs, i.e., land, labour and capital is structurally reduced:
Governments and businesses can achieve more with less.
Marginal costs decline across industries.
Taxable digital GDP grows with limited incremental spend.
Welcome to Autonomics. At its core, Autonomics is a “deflationary” regime where output rises while input costs shrink. After the initial investment in compute, infrastructure, and AI scaling, economies could enter a deflationary productivity boom.
Why does this matter? Well. because the global debt stack is simply too big to repay. Based on July 2025 metrics, the U.S. economy alone now requires ~10% annual growth to cover around $3 trillion in projected annual deficits and interest costs, just to stabilise the U.S. federal government debt stack (currently, US$39.5 trillion). This is now worse.
Without Autonomics, that level of productivity growth is unrealistic.
With Autonomics, structural productivity gains could stabilise and even reduce the debt stack without austerity or runaway inflation.
What happens to us when our jobs are replaced?
AI will replace some work, but it will create new, less repetitive, and higher order work for humans
If AI does replace more than that, what replaces wages, and taxes?
In the Autonomic economy, the social contract must evolve. People may not “own a salary” or earn, and instead they may own assets:
Slices of productive agent systems.
Tokenised flows of synthetic output.
Revenue-share rights in code-driven ventures.
Thus, we move from labour-for-income to leverage-for-outcome.
Some citizens may choose to build, others to delegate. But in all cases, value must flow to those who contribute intention, design, or oversight.
The Autonomics economy resembles a Star Trek–style model where effort is expended for the betterment of all humankind. And money as we know it, which we use to cancel our debts, loses meaning. Instead, ownership of intelligence becomes the new economic stake that cancels debt, logically leading to:
Universal equity models.
Decentralised income systems.
AI/software/autonomy-tax funded dividends.
In short, productivity-generating code and robots are programmatically “taxed”. The proceeds are reallocated according to ownership and contribution. This creates a contribution-based, equity-oriented redistribution system.
Individual sovereignty and digital self-determination
In Autonomics, people are no longer passive workers or taxpayers. They become:
Sovereign economic agents. Deploying personal autonomous systems that generate value and income.
Custodians of identity. Controlling data privacy and digital footprints within decentralised frameworks.
Participants by consent. Opting into economic activities, manifestos, and governance models that reflect their values and goals.
Owners of leverage. Holding stakes in cognitive capital, blockchain rails, and agentic outputs, shifting wealth generation from labour to intention, from earnings to assets.
This shifts political and social power structures toward distributed autonomy, enabling new forms of community, cooperation, and self-expression that transcend geography and traditional nation-state identities.
It’s the missing piece, perhaps even the social manifestation of what John Lennon once imagined: a world where borders matter less, and collective agency shapes the future.
What does an Autonomic Enterprise look like?
Any model that can create self-regulating “economic” homeostasis, like:
A founder launches a consumer product company with no employees, just several autonomous agents.
A regional council runs public infrastructure with digital twins and adaptive management agents.
A small nation doubles its GDP using autonomic export services without increasing population or emissions.
A DAO (Decentralised Autonomous Organisation) governs a global creative platform, automatically distributing rewards to contributors based on pre-defined rules and performance metrics.
A research consortium coordinates autonomous labs, where AI-driven experiments, funding allocation, and IP management are self-optimising, producing new innovations continuously without traditional management.
Institutions are reformed into social contracts embedded in self-executing blockchains.
Implications of Autonomics
Corporate Development Strategy
Autonomics fundamentally shifts the lens through which companies grow and create value. Digital transformation becomes a distant dress rehearsal and traditional measures like headcount, capital intensity, and physical assets become less relevant.
Autonomics-focussed corporate development focuses on orchestrating autonomous systems, designing scalable workflows, and leveraging intelligence as a core asset. This includes securing the energy and raw materials to create chips, data centres and rented intelligence. This is driving the capex boom we are currently experiencing.
And when Jevon’s Paradox is at its most powerful, and autonomic efficiency results in exponential consumption of resources, M&A and partnership strategies will increasingly target access to cognitive infrastructure, agent networks, or tokenised value streams, rather than traditional targets. Capital markets evolve. Boards and executives upskill for a future where the speed of execution and clarity of strategic intent outweigh conventional operational metrics.
Investment Portfolios
In the Autonomics era, once the infrastructure layer has been built out, investors will reframe value assessment away from balance sheets dominated by physical assets or payroll. Returns accrue to those who can identify and stake positions in autonomous systems, synthetic intelligence, and digital infrastructure.
Tokenised ownership, revenue-sharing rights in autonomous ventures, and participation in Decentralised Autonomous Organisations (DAOs) and their successors emerge as mainstream investment vehicles.
The focus shifts from human-led enterprises to systems capable of self-directed growth, meaning that investors become adept at evaluating architecture, intent, and network effects. Asset allocation models reinvent and become fully agentic, while value and growth investing are joined by intent investing, and sales and earnings-based valuation multiples give way to multiples of intent, or multiples of atoms-to-intelligence.
Innovation Companies
In the Autonomics era, investability is tethered to demonstrating autonomous systems that generate value independently, and not CAPEX, people or traditional IP.
Successful startups and scaleups show how agents, AI, and automated workflows scale efficiently, reduce reliance on human labour, and produce measurable outcomes. Agentic AI and autonomous code act as non-dilutive capital, requiring less external funding, even for capital-intensive business.
As these structures take hold, they naturally influence where attention and capital flow, aligning resources with intelligence, autonomy, and purpose.
Investment flows to companies with clear intent, resilient agentic architecture, and repeatable autonomous output. The more a business draws on intelligence rather than human effort, the faster it attracts capital, at lower cost and with less equity dilution.
Over time, financial capital evolves into “units of intelligence,” programmatically deployed under the Autonomics Manifesto toward the most deserving pursuits that build and refine distributed autonomy.
Conclusion to the Autonomics Manifesto
Autonomics is more than a new tech cycle. It’s a macroeconomic reset where we leap straight to Industry Omega.
In this post-capital regime, wealth isn’t built by owning factories, but by directing intelligence. The economy becomes a system of systems, where human intent orchestrates autonomous capability. Think AI-driven supply chains that run themselves while reducing costs, waste, and human oversight.
It is scalable. It is deflationary. It is borderless. It is trustless. And it may be the first economic model capable of creating prosperity, reducing unproductive debt/money supply, and freeing humans from toil, all at once.
We are no longer scaling labour. We are scaling intelligence, and that has profound implications for how and where we work and live on this and in time, other planets.
Welcome to Autonomics.
Mike Ganon, September 2025, updated July 2026.
© 2025-26. Mike Ganon. All rights reserved.
See you in the market 🖐
Mike
Macro first. Strategy second. Deal third.
An independent corporate development studio, established in Perth in 2001, advising you when — and when not — to do the deal. In 25 years, that discipline has been the difference.
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