SaaS is dying.
Not because it’s broken.
But because it was built for humans.
And the future won’t be.
Let’s be clear:
SaaS wasn’t the endgame. It was a bridge. A beautifully packaged interface for a world still run by people.
Login screens, dashboards, onboarding flows, CRM nudges, pricing tiers — all designed to make humans feel like they were in control of logic they didn’t write.
But now we’re standing at the edge of a different frontier:
A world where AI agents, and eventually AGI, don’t ask for access.
They take it.
They don’t subscribe.
They compose.
They don’t “book a demo.”
They act.
And the only infrastructure that lets them do that — is tokenized.
Automation Eats the World, But Only If It’s Structured
Automation is hungry.
It wants to consume tasks, decisions, entire workflows.
But it can’t eat chaos.
It needs structure.
It needs data that’s labeled. Access that’s defined. Rights that are programmable. Assets that are verifiable.
And humans?
We’re messy. We negotiate. We operate in shades of grey. We tolerate ambiguity.
AGI won’t.
To function, it needs tokens — digital primitives that wrap value, rights, identity, access, or ownership into a machine-readable format.
Tokens are not hype. They’re how automation makes sense of the world.
SaaS Is a Museum of Human Interfaces
Let’s get honest:
SaaS is great at selling to procurement departments.
It’s designed for humans with logins, passwords, and a 9-to-5 cadence.
But machines don’t care about your UI.
They don’t want your email drip sequence.
They don’t need a sales call.
They need access to logic.
They need composability.
They need a way to reason about what your software does — and then deploy it, instantly, without friction.
So as AGI evolves, the SaaS model — built around human attention and subscription — collapses.
It’s too slow. Too brittle. Too dependent on us.
AGI Doesn’t Subscribe — It Executes
SaaS assumes a human in the loop.
AGI assumes no human at all.
If a future AI agent wants to:
- Generate emissions data
- Trigger a carbon offset transaction
- Purchase digital labor
- Analyze supply chain risks
…it won’t want five different SaaS logins. It won’t tolerate closed APIs. It won’t wait for an integration partner.
It will expect modular, permissionless, verifiable logic.
Which means: tokenized access to services and assets.
A future where:
- Data = tokenized truth
- Access = tokenized rights
- Identity = tokenized credentials
- Coordination = tokenized incentives
Welcome to machine-native infrastructure.
The Human Factor: From Operator to Observer
So what happens to us?
We stop being the operator.
We start becoming the edge-case. The exception handler. The fail-safe.
Humans will design the scaffolding.
We’ll architect the logic.
But the day-to-day operations? The interactions between autonomous systems?
We’ll watch more than we’ll touch.
This is the real predatorial shift:
From tools for humans, to systems that no longer require us.
Tokens Are Not Just Infrastructure — They Are Control
Tokenization isn’t just about blockchain or Web3.
It’s about machine legibility.
And machine legibility is the precondition for machine autonomy.
When we tokenize:
- Assets become programmable
- Decisions become verifiable
- Contracts become logic
- Value becomes portable
But the darker truth?
Those who control the tokens — control the rails of the future.
Because if tokens are how machines act, then token creators are the new sovereigns.
They define what’s valuable. What’s allowed. What’s real.
That’s not just efficiency — that’s empire.
SaaS Is a Relic — Tokens Are the Future
Here’s the hard truth:
The current SaaS model is a cage built for people.
Tokenization is a world designed for machines.
And AGI doesn’t want a service. It wants agency.
So ask yourself:
Are you building for users — or for agents?
Because the former is legacy.
The latter is future-proof.
And whether you’re ready or not, SaaS is dying.
Tokenization is coming.
And AGI won’t wait for you to catch up.
Predatorialism is where we expose how systems exploit, extract, and evolve — sometimes in your favor, often not.
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