AI 2.0 needs a threesome

AI 2.0 needs a threesome
By Alan Jacobson, Systems Architect & Analyst

Settle down, Beavis. It’s a threesome with a librarian, a cop and an accountant: memory, governance and revenue.

I know it’s not the ménage à trois you were hoping for, but this is serious business.

Let’s do the numbers:

By naming Web 2.0, Tim O’Reilly revealed a shift the industry was already living through but couldn’t yet articulate.

AI is at that same moment right now.

AI 1.0 is brilliant, astonishing, history-making.

And it is also fundamentally broken.

Before we define what comes next, we need to remember how the web got its reboot — because AI today looks exactly like the web did in 2003.

🌐 Web 1.0 → Web 2.0: The last time the world rebooted itself

Web 1.0 (1993–2003)
Before identity, transactions and retail

In practice, Web 1.0 was:

  • static, read-only pages
  • limited or untrusted SSL
  • credit-card fear and friction
  • unreliable or nonexistent ecommerce
  • no user identity
  • no personalization
  • no social layer
  • no participation

It was a directory, not a marketplace.
brochure rack, not a social platform.

Web 2.0 didn’t improve the Web. It rewired the world.

Two revolutions emerged — each massive and irreversible.

Web 2.0 moved retail online

As soon as the architecture changed — identity, participation, interaction — retail flipped:

  • secure transactions
  • trusted SSL
  • persistent identity
  • dynamic carts
  • product reviews
  • recommendation engines
  • two-day shipping
  • personalized storefronts

Traditional retail collapsed.
Digital retail exploded.

Brick-and-mortar stores died.
Online retail became the default.

Web 2.0 didn’t change retail. It replaced it.

Web 2.0 created social media

This was only possible because Web 2.0 introduced:

  • identity
  • real-time updates
  • user-generated content
  • feeds
  • social graphs
  • notifications
  • comments
  • continuous participation

That architecture birthed…

  • Facebook (2004)
  • YouTube (2005)
  • Twitter (2006)
  • Reddit (2005)
  • LinkedIn (2003)
  • Tumblr (2007)

Social interaction moved online permanently. A new societal layer was born.

AI 1.0: Extraordinary — and unsustainable

AI 1.0 is a marvel that cannot survive at scale. It is:

  • stateless
  • amnesiac
  • unpredictable
  • hallucination-prone
  • unverifiable
  • unauditable
  • non-deterministic
  • fragile under load
  • non-compliant
  • unregulated and unregulatable
  • lacking identity
  • lacking continuity
  • lacking receipts
  • financially incoherent
  • burning compute indiscriminately
  • unable to distinguish high-value input from noise
  • unable to justify resource consumption

AI 1.0 is a genius with no memory, no discipline, no receipts, no budget and no accountability.

Just as Web 1.0 collapsed under its limitations, AI 1.0 is collapsing under its own weight – just listen to top CEOs and look at the data.

Introducing AI 2.0 and its three secret agents

They’re “secret” only because the industry has been too focused on compute and benchmarks — but they’re the real operators behind AI’s future. And like Charlie’s Angels, these agents do their work behind the scenes — unseen, underestimated and absolutely essential.

Web 2.0 required three architectural breakthroughs – identity, participation, platforms – to become the world’s operating system.

AI 2.0 requires its own three agents:

Memory
Governance
Revenue

These are the operators shaping the next era of AI.

Agent 1: Memory

AI must remember to remember.

This is the transformation from:

  • stateless → stateful
  • ephemeral → continuous
  • disposable → persistent

Memory enables:

  • personalization
  • continuity
  • identity-aware interaction
  • cross-session coherence
  • multi-step reasoning
  • tool-use consistency

Memory is the prerequisite for intelligence.

Agent 2: Governance

AI must be predictable, auditable, and verifiable.

Governance is:

  • verifiable outputs
  • governed routing
  • predictable refusals
  • transparent escalation
  • domain boundaries
  • receipts
  • accountability

Governance is not censorship — it is reliability.

Agent 3: Revenue

AI must have a sustainable economic model.

AI 1.0 is priced like a casino — tokens in, money out, chaos everywhere.

AI 2.0 requires:

  • fixed-price access (like broadband)
  • token metering (like APIs)
  • FLOP-based metering (actual compute cost)
  • rational budgets
  • vertical alignment

Without sustainable economics, nothing scales.

What Web 2.0 did to retail and social, AI 2.0 will do to AI itself

Web 2.0 didn’t improve the web —
it transformed the economy and rewired human society.

AI 2.0 won’t improve chatbots —
it will redefine the architecture of intelligence.

Systems built by these three agents will survive.

Systems trapped in AI 1.0 will not.

Three agents. One mission. Impossible? Inevitable.

My name is Alan Jacobson.

A top-five Silicon Valley firm is prosecuting a portfolio of patents focused on AI cost reduction, revenue mechanics, and mass adoption.

I am seeking to license this IP to major AI platform providers.

Longer-term civic goals exist, but they are downstream of successful licensing, not a condition of it.

You can reach me here.

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