Tax AI Profits to Build a Fairer Future for All

The Issue

Sign Now to Demand the AI Taxation Act

AI Is Taking Over—But Only a Few Are Winning
Imagine losing your job to a machine that doesn’t pay a dime in taxes, while the company behind it pockets billions. This isn’t science fiction—it’s happening now. Artificial intelligence (AI), especially large language models (LLMs) like ChatGPT, is transforming the world. In 2022, the AI industry was valued at $136.6 billion, projected to skyrocket to $1.81 trillion by 2030 (Statista, 2023). Yet, those massive profits enrich only a tiny elite, leaving millions facing job loss, wage stagnation, and a widening wealth gap.

These LLMs are built on your data—your posts, your searches, your life. But when they generate billions, you get nothing. As AI automates jobs, governments lose tax revenue from workers, slashing funds for schools, hospitals, and roads. Without action, the richest 1% could own half the world’s wealth by 2035 (Oxfam, 2023). This isn’t just unfair—it’s a crisis in the making.

 

 
 

The Solution: Tax AI Profits
We need an AI tax—now. Taxing profits from LLMs and other AI systems could raise billions to:

Retrain workers displaced by automation.
Fund education and healthcare to keep society strong.
Support communities hit hardest by job losses.
It’s simple fairness: AI uses our collective data to create wealth. Just like we tax oil companies for extracting natural resources, we should tax AI companies for profiting off what we’ve all contributed to. 

The Risks of Doing Nothing Are Real
If we don’t act, here’s what’s at stake:

Mass Job Loss: AI could wipe out 300 million jobs by 2030 (McKinsey, 2023), leaving millions without income or purpose.Exploding Inequality: The top 1% already hold 38% of global wealth (World Inequality Report, 2022). Untaxed AI profits will make this divide a chasm.
Crumbling Public Services: As jobs vanish, so does tax revenue. Schools close, hospitals struggle, and infrastructure decays—all while tech giants hoard cash.


This future isn’t just unequal—it’s unstable. History shows that extreme wealth gaps spark unrest. We’re on that path unless we act.

 

A Comprehensive Plan to Make It Happen
Here’s a detailed, actionable framework to tax AI effectively and fairly, ensuring the benefits of the AI revolution are shared by all:

1. Tax AI Profits
How It Works: Introduce a progressive tax on profits generated directly by AI systems, including revenue from LLMs, automation-driven cost savings, and sales of AI-powered products or services. Details:
A tiered tax rate: 5% for smaller AI firms (profits under $100 million annually) and up to 15% for tech giants (profits exceeding $1 billion).
Based on 2022 data, a 5-10% tax on AI profits from U.S. tech leaders like Google, Microsoft, and OpenAI could generate $17.5 billion annually (Statista, 2023).Exemptions for startups under $10 million in revenue to encourage innovation.Implementation: Require companies to report AI-specific revenue streams annually, audited by an independent regulatory body.Impact: This targets the biggest profiteers without choking smaller innovators, creating a reliable revenue stream for public investment.

2. Job Displacement Fee
How It Works: Impose a fee on companies for each full-time job replaced by AI or automation technologies within a fiscal year.
Details:
A sliding scale fee: $5,000 per low-wage job (e.g., retail clerks), $10,000 per mid-tier job (e.g., manufacturing), and $20,000 per high-skill job (e.g., analysts).
Example: If a company automates 1,000 retail jobs, it pays $5 million. Across industries like retail and logistics, this could raise $25 billion annually.
Fees adjusted annually based on inflation and unemployment rates.
Implementation: Companies submit automation impact reports, verified by labor departments, with penalties for underreporting.
Impact: Funds go directly to retraining programs, wage subsidies, or transitional income for displaced workers, softening the blow of job loss.


3. Data Usage Levy
How It Works: Charge companies a levy based on the volume of public or user-generated data used to train AI models, treating data as a taxable public resource.
Details:
A rate of $0.01 per user profile or data point (e.g., social media posts, search histories).
For a company like Meta, training an AI model on 3 billion user profiles could yield $30 million per cycle. Multiplied across multiple firms and training runs, this could generate hundreds of millions yearly.
Discounts for companies that anonymize data or gain explicit user consent.
Implementation: Enforce via data audits conducted by a new AI Tax Authority, with fines for non-compliance.
Impact: This ensures companies pay for exploiting a collective resource, with proceeds funding digital literacy programs, privacy protections, or universal basic income pilots.


4. Enforcement and Oversight
How It Works: Establish a global-standard AI Tax Authority (modeled on the IRS or OECD frameworks) to oversee collection, ensure compliance, and prevent tax evasion.
Details:
Partner with international tax bodies to track cross-border AI profits, preventing firms from shifting revenue to tax havens.
Use AI itself to monitor compliance—e.g., algorithms to detect profit underreporting or job displacement trends.
Annual public reports detailing funds raised and spent, ensuring transparency.
Impact: A robust system builds trust and prevents loopholes, making the tax regime sustainable.


5. How the Funds Would Be Used
Worker Retraining:
Free, accessible programs like coding bootcamps, trade certifications, or AI literacy courses.
Example: $5,000 per worker could retrain 5 million people annually with $25 billion.
Education and Healthcare:
Modernize schools with tech-focused curricula and hire more teachers ($10 billion).
Bolster hospitals with equipment and staff to handle automation’s societal stress ($10 billion).
Community Revitalization:
Grants for small businesses in automation-hit regions (e.g., $50,000 per grant, supporting 100,000 businesses with $5 billion).
Infrastructure upgrades like broadband or public transit in rural and urban areas ($10 billion).
Innovation Boost: Allocate 10% of funds to public AI research, ensuring future breakthroughs benefit society, not just corporations.
This comprehensive plan transforms AI taxation from a concept into a practical, impactful policy. It’s a blueprint to harness AI’s wealth for collective good, not elite gain. 

Act Now—Your Voice Can Change the Future
The AI revolution is here, and it’s up to us to make it fair. Sign this petition to demand the AI Taxation Act. Your signature will:

Halt runaway inequality before it’s too late.
Protect jobs and communities from automation’s fallout.
Force AI to serve society, not just CEOs.
Take Action:

Share Widely: Post on social media with #AITaxNow. Tell your friends, family, and followers.


This is your chance to stop a future where AI enriches the few and abandons the rest. Sign today—let’s make AI pay its fair share.

 

14

The Issue

Sign Now to Demand the AI Taxation Act

AI Is Taking Over—But Only a Few Are Winning
Imagine losing your job to a machine that doesn’t pay a dime in taxes, while the company behind it pockets billions. This isn’t science fiction—it’s happening now. Artificial intelligence (AI), especially large language models (LLMs) like ChatGPT, is transforming the world. In 2022, the AI industry was valued at $136.6 billion, projected to skyrocket to $1.81 trillion by 2030 (Statista, 2023). Yet, those massive profits enrich only a tiny elite, leaving millions facing job loss, wage stagnation, and a widening wealth gap.

These LLMs are built on your data—your posts, your searches, your life. But when they generate billions, you get nothing. As AI automates jobs, governments lose tax revenue from workers, slashing funds for schools, hospitals, and roads. Without action, the richest 1% could own half the world’s wealth by 2035 (Oxfam, 2023). This isn’t just unfair—it’s a crisis in the making.

 

 
 

The Solution: Tax AI Profits
We need an AI tax—now. Taxing profits from LLMs and other AI systems could raise billions to:

Retrain workers displaced by automation.
Fund education and healthcare to keep society strong.
Support communities hit hardest by job losses.
It’s simple fairness: AI uses our collective data to create wealth. Just like we tax oil companies for extracting natural resources, we should tax AI companies for profiting off what we’ve all contributed to. 

The Risks of Doing Nothing Are Real
If we don’t act, here’s what’s at stake:

Mass Job Loss: AI could wipe out 300 million jobs by 2030 (McKinsey, 2023), leaving millions without income or purpose.Exploding Inequality: The top 1% already hold 38% of global wealth (World Inequality Report, 2022). Untaxed AI profits will make this divide a chasm.
Crumbling Public Services: As jobs vanish, so does tax revenue. Schools close, hospitals struggle, and infrastructure decays—all while tech giants hoard cash.


This future isn’t just unequal—it’s unstable. History shows that extreme wealth gaps spark unrest. We’re on that path unless we act.

 

A Comprehensive Plan to Make It Happen
Here’s a detailed, actionable framework to tax AI effectively and fairly, ensuring the benefits of the AI revolution are shared by all:

1. Tax AI Profits
How It Works: Introduce a progressive tax on profits generated directly by AI systems, including revenue from LLMs, automation-driven cost savings, and sales of AI-powered products or services. Details:
A tiered tax rate: 5% for smaller AI firms (profits under $100 million annually) and up to 15% for tech giants (profits exceeding $1 billion).
Based on 2022 data, a 5-10% tax on AI profits from U.S. tech leaders like Google, Microsoft, and OpenAI could generate $17.5 billion annually (Statista, 2023).Exemptions for startups under $10 million in revenue to encourage innovation.Implementation: Require companies to report AI-specific revenue streams annually, audited by an independent regulatory body.Impact: This targets the biggest profiteers without choking smaller innovators, creating a reliable revenue stream for public investment.

2. Job Displacement Fee
How It Works: Impose a fee on companies for each full-time job replaced by AI or automation technologies within a fiscal year.
Details:
A sliding scale fee: $5,000 per low-wage job (e.g., retail clerks), $10,000 per mid-tier job (e.g., manufacturing), and $20,000 per high-skill job (e.g., analysts).
Example: If a company automates 1,000 retail jobs, it pays $5 million. Across industries like retail and logistics, this could raise $25 billion annually.
Fees adjusted annually based on inflation and unemployment rates.
Implementation: Companies submit automation impact reports, verified by labor departments, with penalties for underreporting.
Impact: Funds go directly to retraining programs, wage subsidies, or transitional income for displaced workers, softening the blow of job loss.


3. Data Usage Levy
How It Works: Charge companies a levy based on the volume of public or user-generated data used to train AI models, treating data as a taxable public resource.
Details:
A rate of $0.01 per user profile or data point (e.g., social media posts, search histories).
For a company like Meta, training an AI model on 3 billion user profiles could yield $30 million per cycle. Multiplied across multiple firms and training runs, this could generate hundreds of millions yearly.
Discounts for companies that anonymize data or gain explicit user consent.
Implementation: Enforce via data audits conducted by a new AI Tax Authority, with fines for non-compliance.
Impact: This ensures companies pay for exploiting a collective resource, with proceeds funding digital literacy programs, privacy protections, or universal basic income pilots.


4. Enforcement and Oversight
How It Works: Establish a global-standard AI Tax Authority (modeled on the IRS or OECD frameworks) to oversee collection, ensure compliance, and prevent tax evasion.
Details:
Partner with international tax bodies to track cross-border AI profits, preventing firms from shifting revenue to tax havens.
Use AI itself to monitor compliance—e.g., algorithms to detect profit underreporting or job displacement trends.
Annual public reports detailing funds raised and spent, ensuring transparency.
Impact: A robust system builds trust and prevents loopholes, making the tax regime sustainable.


5. How the Funds Would Be Used
Worker Retraining:
Free, accessible programs like coding bootcamps, trade certifications, or AI literacy courses.
Example: $5,000 per worker could retrain 5 million people annually with $25 billion.
Education and Healthcare:
Modernize schools with tech-focused curricula and hire more teachers ($10 billion).
Bolster hospitals with equipment and staff to handle automation’s societal stress ($10 billion).
Community Revitalization:
Grants for small businesses in automation-hit regions (e.g., $50,000 per grant, supporting 100,000 businesses with $5 billion).
Infrastructure upgrades like broadband or public transit in rural and urban areas ($10 billion).
Innovation Boost: Allocate 10% of funds to public AI research, ensuring future breakthroughs benefit society, not just corporations.
This comprehensive plan transforms AI taxation from a concept into a practical, impactful policy. It’s a blueprint to harness AI’s wealth for collective good, not elite gain. 

Act Now—Your Voice Can Change the Future
The AI revolution is here, and it’s up to us to make it fair. Sign this petition to demand the AI Taxation Act. Your signature will:

Halt runaway inequality before it’s too late.
Protect jobs and communities from automation’s fallout.
Force AI to serve society, not just CEOs.
Take Action:

Share Widely: Post on social media with #AITaxNow. Tell your friends, family, and followers.


This is your chance to stop a future where AI enriches the few and abandons the rest. Sign today—let’s make AI pay its fair share.

 

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Petition created on March 7, 2025