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.
The Deep Tech Reality
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.
- Training Data Scarcity
- Complexity Multiplier
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
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.
Screenshots
Screenshots
Visual state of the screen at each step, showing buttons, forms, menus, and content as they appear to users
Actions
Actions
Every mouse click, keyboard input, scroll, drag, hover, and navigation choice made by the user
Context
Context
The goal being achieved and why specific actions are taken at each decision point
Sequences
Sequences
The exact order and timing of actions, including pauses, corrections, and alternative paths
Decision Points
Decision Points
Why certain paths were chosen over others, what errors were avoided, how problems were solvedLearn more about the Action Tree →
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.
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
The Data Exploitation Crisis
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.
- 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
The Big Tech Cartel
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.
How They Built the Walls
The Monopolization Playbook
- Step 1: Data Hoarding
- Step 2: Compute Domination
- Step 3: Talent Capture
- Step 4: Regulatory Capture
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
The True Cost of Monopoly
What 99% Control Means for Humanity
Economic Devastation
Economic Devastation
$15 Trillion Wealth TransferWhen Big Tech owns 99% of AI:
- 1 billion jobs automated = $30 trillion in lost wages
- All value flows upward to tech shareholders
- Local economies collapse as money concentrates in Silicon Valley
- Small businesses can’t compete with AI-powered giants
- Innovation dies - no competition means no progress
Social Catastrophe
Social Catastrophe
Political Control
Political Control
Democracy Becomes DecorationWith economic power comes political domination:
- Campaign funding - unlimited resources to buy elections
- Media control - owning the platforms where discourse happens
- Surveillance capability - knowing everything about everyone
- Behavioral manipulation - AI that shapes thoughts and actions
- Dependency creation - controlling essential services
Innovation Extinction
Innovation Extinction
The End of Human ProgressMonopolies kill innovation:
- No competition = no pressure to improve
- Rent-seeking replaces value creation
- Barriers to entry become insurmountable
- Open source dies - can’t compete with closed resources
- Human creativity atrophies - why create when AI does it better?
The Extraction Economy
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.
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
Why LAMs Make It Worse
The Ultimate Monopoly Tool
Large Action Models represent an exponential increase in Big Tech’s power:- Complete Automation
- Impossible Moat
- Network Effects
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
The Only Alternative
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).
The Choice Is Binary
Monopoly or Democracy
There are only two possible futures:- Future 1: Big Tech Wins
- Future 2: We Win
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
Take Action Now
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.
Earn a stake in the Future of AI
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 →
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 →
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 →
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 →
Start building →
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
- 0.0001%: Tech executives and major shareholders
- 0.1%: Tech employees with equity
- 10%: Service workers for the tech elite
- 89.9%: The displaced, dependent on Universal Basic Income
Society splits into tech lords and digital serfs.