The artificial intelligence revolution stands at a crossroads. While Silicon Valley celebrates unprecedented technological capabilities, a fundamental question of fairness, representation, and national unity hangs in the balance: Will AI reflect the full spectrum of American thought, or will it perpetuate the documented biases of its creators?

As someone who has spent three decades defending conservative voices against Big Tech censorship—from exposing Google's ad bias in 2004 to building the parallel economy infrastructure that protected millions during the deplatforming campaigns—I write today not as a partisan, but as an American entrepreneur who has witnessed firsthand the systematic exclusion of half our nation's perspectives from the digital public square.

The Bias Crisis is Documented and Undeniable

Every major AI system today demonstrates clear left-wing bias in its responses. This isn't opinion—it's a measurable fact. From ChatGPT's reluctance to generate conservative content to Google’s tendency to inject progressive framing into neutral queries, AI systems consistently reflect the worldview of their predominantly liberal creators and training data.

This bias didn't emerge in a vacuum. For two decades, Silicon Valley has systematically:

Demonetized conservative publications

Shadow-banned conservative voices

Censored conservative perspectives

Excluded conservative content from algorithmic promotion

Now, these same companies are training AI systems on datasets that reflect this censorship—creating artificial intelligence that embeds anti-conservative bias at its very foundation.

The Economic Imperative

Conservative media outlets have lost billions in revenue due to Big Tech's discriminatory practices. The Epoch Times, Washington Examiner, Human Events, The Post Millennial, and hundreds of smaller publications have watched their reach artificially constrained while their progressive competitors received algorithmic boosts.

Meanwhile, these same companies are now profiting from training AI systems on decades of conservative content—content they've spent years trying to suppress. This represents a profound injustice: profiting from the very voices they've sought to silence.

A Framework for Restoration

The solution requires both immediate action and structural reform:

Immediate Compensation Framework

Archive Licensing: One-time payments for complete digital archives, with rates reflecting both market value and compensatory damages for years of suppression

Ongoing Content Licensing: Per-article payments for all new content used in AI training, at or above market rates

Premium Rates: Enhanced compensation reflecting the scarcity value created by years of artificial suppression

Structural Requirements

Mandatory Inclusion: AI companies must actively seek out and include conservative content in training datasets

Transparency Reporting: Public disclosure of content sources and ideological balance in training data

Bias Auditing: Regular third-party assessments of AI output for ideological balance

The Trust Imperative

In the age of AI, trust is indeed the highest-yielding investment. Americans will not—and should not—trust AI systems that reflect only half the nation's perspectives. When AI systems demonstrate clear bias against conservative viewpoints, they undermine their own credibility and utility.

For AI to serve all Americans, it must be trained on content that represents all Americans. This isn't about political correctness—it's about accuracy, completeness, and national unity.

The Market Solution

This isn't about government mandates—it's about market justice. Conservative publications have built audiences of millions, created valuable content, and maintained credibility despite systematic suppression. That content has clear market value for AI training.

Silicon Valley companies should be competing to secure licensing deals with conservative media, not because government forces them to, but because their AI systems will be better, more accurate, and more trusted when they reflect the full spectrum of American thought.

The National Security Dimension

Biased AI systems pose a national security risk. When our most powerful technological tools systematically exclude or misrepresent conservative perspectives, they create blind spots in everything from policy analysis to threat assessment. An AI system that cannot accurately represent half the country's thinking cannot effectively serve the whole nation.

The Path Forward

The Trump admin has the opportunity to address a fundamental imbalance that threatens both technological progress and national unity. The framework I propose would:

Restore Justice: Compensate conservative media for years of discrimination

Improve AI: Create more balanced, accurate, and trustworthy systems

Strengthen America: Ensure our AI reflects our full national character

Build Trust: Demonstrate that the AI revolution will benefit all Americans

The Conservative Advantage

Here's what Silicon Valley doesn't understand: Conservative media has spent decades building trust through accuracy, consistency, and resilience. Conservative publications have maintained credibility despite systematic suppression.

This isn't just about historical content—it's about ongoing production. Conservative media produces thousands of articles daily, representing perspectives that half the country holds. Any AI system that ignores this content is fundamentally incomplete.

The Business Case

For AI companies, this represents opportunity, not burden. The conservative media ecosystem represents:

Millions of engaged readers

Decades of archived content

Ongoing content production

Unique perspectives not found elsewhere

Documented audience loyalty and trust

AI systems trained on this content will be more accurate, more balanced, and more trusted by more Americans.

A Personal Note

I've spent thirty years in this fight—not as a political activist, but as a businessman who believes in fairness, accuracy, and American values. I've watched conservative voices face systematic discrimination while continuing to serve their communities with integrity.

The AI revolution represents a chance to correct these historical injustices while building better technology. But that requires acknowledging the problem and taking concrete steps to fix it.

The Moment of Truth

We stand at a pivotal moment. The AI systems being trained today will shape human knowledge and decision-making for generations. Will they reflect the full spectrum of American thought, or will they perpetuate the biases of their creators?

We can ensure that America's AI systems truly serve all Americans, or we can watch as the digital divide becomes permanently encoded in our most powerful technologies.

Justice, accuracy, and national unity all point in the same direction: Silicon Valley must compensate conservative media fairly for both historical archives and ongoing content. The alternative is an AI ecosystem that serves half the country while systematically excluding the other half.

That's not just bad technology—it's bad for America.

The author is the founder of Market Rithm and has spent three decades building technology infrastructure for conservative media and organizations. He can be reached at marketrithm.com.