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The Monopoly Is Already Here

While the world debates AI safety and ethics, a more immediate threat has materialized: complete monopolization of AI technology by a handful of corporations.
Action Loop Token Consumption

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The Deep Tech Reality

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Why LAMs Are Infinitely Harder Than LLMs

Deep Tech Truth: This technology is very hard to train. The data requirements for a Large Action Model are significantly harder to attain than an LLM, creating an even deeper moat that only Big Tech can cross.

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LAMs vs LLMs: A Completely Different Game

Unlike Language Models (LLMs) where training data can simply be downloaded from the internet:

LLMs: Text Everywhere

  • Books & journals freely available
  • Scientific papers downloadable
  • Billions of web articles
  • Social media posts
  • Wikipedia & forums
  • Cost: Nearly free to acquire

LAMs: Path Data Required

  • GUI interaction recordings needed
  • Human actions must be captured
  • Screen states tracked in sequence
  • Decision contexts preserved
  • Task completions mapped
  • Cost: Expensive to collect

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What is Path Data?

Path data is the sequential recording of human-computer interactions that show HOW tasks are completed, not just what the end result looks like.
Path data captures five critical elements:
Critical Difference: An LLM learns from reading about driving. A LAM needs to watch millions of hours of actual driving, seeing every turn of the wheel, every brake application, every navigation decision.

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The Collection Challenge

Large Action Models need path data to train, but this doesn’t exist organically to be scraped. It must be:
  • Deliberately recorded - Requires active user participation
  • Properly labeled - Needs context about what’s being done
  • Sequentially organized - Must maintain temporal relationships
  • Context-preserved - Requires understanding of user intent
Result: Training data is extremely scarce, giving massive advantage to those who can collect it. The Action Model community can collect this together.

Training Requirements

Learn how LAMs are trained with path data

Browser Extension

Learn about the Browser Extension that collects training data

Start Training

Start training in 60 seconds - Download the extension

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The Data Exploitation Crisis

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Your Data, Their Profit

The Ultimate Betrayal: Your data is being taken to train all of this, and you aren’t given any share of it. Every click, every search, every document you create, they’re using it to build the AI that will replace you.
Think about it:
  • You provide the data through years of using their platforms
  • They train the AI using your behavioral patterns
  • They sell the AI that replaces your job
  • You pay them to use the AI that you helped create
We believe that AI should be owned by the people who contribute to it. This is why Action Model exists.

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The Big Tech Cartel

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Who Controls Your Future

Google/Alphabet

Controls: Search, Android, Chrome, YouTube, DeepMind, Gemini

Microsoft

Controls: Windows, Office, Azure, LinkedIn, GitHub, OpenAI stake

Apple

Controls: iOS, Mac, App Store ecosystem

OpenAI/ChatGPT

Controls: ChatGPT, GPT-4, DALL-E, Codex

Meta

Controls: Facebook, Instagram, WhatsApp, Reality Labs

X (Twitter)

Controls: Global conversation platform, Grok AI

Amazon/AWS

Controls: AWS, E-commerce, Alexa, Robotics

Anthropic

Controls: Claude, Constitutional AI

Nvidia

Controls: AI chips (GPUs), CUDA platform, AI computing infrastructure
Combined Power: These 5 companies have a combined market cap exceeding $12 trillion, larger than the GDP of every country except the US and China. They’re using this war chest to ensure AI remains their exclusive domain.

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How They Built the Walls

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The Monopolization Playbook

They Own Your Digital Life
  • Google: 8.5 billion searches daily = training data
  • Meta: 3 billion users’ social graphs = behavioral data
  • Microsoft: Every Office document = enterprise knowledge
  • Amazon: 300 million customers = purchase patterns
  • Apple: 2 billion devices = personal usage data
Result: Insurmountable data advantage for training AI models

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The True Cost of Monopoly

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What 99% Control Means for Humanity

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The Extraction Economy

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How They’ll Monetize Your Displacement

The Business Model: You lose your job to their AI. You then pay them to use that AI. They profit from both your displacement and your dependency.

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Revenue Streams from Human Obsolescence

B2B Automation

$5 Trillion Annual Market
  • Selling AI workers to replace human workers
  • $2-5K/month per AI agent
  • 500 million potential AI agents
  • Infinite scalability, zero marginal cost

Consumer Dependency

$3 Trillion Annual Market
  • AI assistants for everything
  • Subscription for basic services
  • Premium tiers for better AI
  • Pay-to-play economy

Data Monetization

$2 Trillion Annual Market
  • Your data trains their models
  • Your behavior feeds their algorithms
  • Your replacement enriches them
  • Perpetual value extraction

Infrastructure Tax

$1 Trillion Annual Market
  • Every AI action requires their compute
  • Every business needs their platform
  • Every developer uses their tools
  • Digital toll roads everywhere

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Why LAMs Make It Worse

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The Ultimate Monopoly Tool

Large Action Models represent an exponential increase in Big Tech’s power:
LAMs don’t just generate text, they perform actual work:
  • Control computers like humans do
  • Navigate any interface without APIs
  • Complete complex tasks end-to-end
  • Replace entire roles, not just tasks
This means Big Tech can automate literally any computer-based job.

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The Only Alternative

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Why Action Model Is the Last Hope

The Uncomfortable Truth: If Action Model fails, Big Tech’s monopoly becomes permanent. There won’t be a second chance at community-owned AI.
With Action Model, you can own a stake in AI. Instead of your data enriching Big Tech, you become a stakeholder in the AI revolution. Action Model is the Resistance (See Action Model is the Uprising).

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The Choice Is Binary

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Monopoly or Democracy

There are only two possible futures:
The Timeline:
  • 2026/2027: Mass layoffs begin
  • 2027/2028: UBI discussions start
  • 2028/2029: Social unrest peaks
  • 2029/2030: New order established
  • 2030+: Permanent tech feudalism
Your Role: Digital serfYour Agency: NoneYour Future: Predetermined

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Take Action Now

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Before It’s Too Late

Critical Decision Point: Every day you wait, Big Tech gets stronger. Every moment of inaction is a vote for monopoly. The time to act is NOW.
1

Recognize the Threat

Understand that Big Tech’s AI monopoly isn’t a possibility, it’s actively being constructed. Your future is being decided without you.
Learn more about the impact →
2

Join the Resistance

Stop feeding Big Tech’s models with your data. Start contributing to the community-owned alternative.
Join Action Model →
3

Spread the Truth

Share this reality with others. The monopoly thrives on ignorance. Knowledge is our first weapon.
Share the message →
4

Build the Alternative

Contribute data, create workflows, earn tokens. Be part of the solution, not a victim of the problem.
Start building →

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The Final Warning

To Those Who Think This Is Hyperbole: Look at every other industry Big Tech has entered. Search. Social. Shopping. Cloud. The pattern is always the same: enter, dominate, extract. AI is their ultimate play.To Those Who Think It’s Too Late: It’s not, but barely. We have a narrow window where collective action can still make a difference. That window is measured in months.To Those Ready to Fight: You’re not alone. Millions are waking up to this reality. Together, we can build the alternative. Together, we can prevent the monopoly.

The Stakes

The entire future of human agency

The Challenge

The world’s largest tech companies

The Solution

You, me, and millions like us
Big Tech owns 99% of the AI future, unless we stop them. The choice is yours. The time is now.