Democrats Learning from Past Mistakes on AI Regulation

It seems that Democrats are really trying to learn from earlier missteps.

Since President Bill Clinton opted for a hands-off approach towards the burgeoning internet, Democrats want to take a much more cautious stance on artificial intelligence—even considering stifling it before it can truly develop.

The pressing question is: where will this control come from?

An executive order from President Joe Biden would essentially turn AI into a tool for federal policy, closely aligned with the interests of labor unions, educators, and leftist activists.

However, President Donald Trump shifted the narrative, effectively shutting that door.

Now, Democrats are looking at blue states to regulate AI instead, resulting in a patchwork of state-specific guidelines.

This has prompted Trump to aim for federal jurisdiction over AI.

His goal is to prevent state-level interference and sidestep a complicated situation similar to what the European Union faces, all while ensuring national security against China.

Yet, Trump’s plans aren’t quite gaining traction.

Back in 1996, as the internet was emerging, Clinton declared that its growth should rely on the private sector.

His policy aimed for the web to “evolve” as a market-driven enterprise rather than a tightly controlled industry.

This aligned with Congressional Republicans, whose Telecommunications Act of 1996 established federal oversight over interstate services and eased liability issues.

The current success of mobile communication and the vast array of apps we enjoy today can be traced back to Clinton’s practical approach.

On the other hand, Biden’s approach to AI would have been markedly different.

His executive order would have been one of the lengthiest in history, imposing a strict regulatory regime from the federal level.

AI models would have faced mandatory “impact assessments” prior to their use and monitoring post-deployment.

Under Biden, America’s AI landscape would have mirrored his focus on “equity and civil rights,” pushing for advancements in “racial equity” and support for “underprivileged communities.”

With Biden out and Trump back in, the situation has turned toward state regulations, particularly from California and Colorado.

Despite being a major economic player, California has wielded its influence to spur political and social shifts.

The state has also backed strict CAFE auto fuel economy standards, compelling companies nationwide to comply.

Now, California aims to establish its own AI legislation that designates the state attorney general as the primary AI overseer, ensuring compliance with standards deemed “safe, ethical, fair, and sustainable.”

The proposed law carries hefty fines of up to $1 million per violation, creating uncertainty and potentially stunting AI development.

Colorado’s rules, though well-intentioned, have been so challenging that even the Democratic-controlled legislature chose to postpone implementation to ease burdens on local businesses.

The U.S. Chamber of Commerce warns that if AI developed under Colorado’s laws, the country could see the loss of over 713,000 jobs, a $53 billion dip in GDP, and a 1% reduction in productivity, which is crucial for wage growth.

And, this is just one scenario among over 1,100 AI-related bills currently on the table in various state legislatures.

To avoid a convoluted patchwork of regulations akin to the EU’s, Senator Ted Cruz (R-Texas) has pushed for limited federal preemption of state AI laws in a major legislation proposal.

Cruz’s idea would allow states to implement AI limits aimed at protecting consumers and children, but without excessively hindering development.

However, this amendment fell flat, leaving Congress at a standstill regarding a federal approach.

This is why President Trump is taking steps.

“If we are to continue to lead in AI, there must be only one rulebook,” he remarked in a recent post on Truth Social.

He plans to issue an executive order this week to advance Cruz’s proposal, seeking to minimize states’ capacity to restrict AI development.

This order could also threaten federal funding for states that enact burdensome AI regulations.

While this approach is a clever tactic, comprehensive federal legislation is still necessary to effectively counteract state-level AI rules.

Looking ahead, Congress is expected to revisit this issue in January as part of a government funding bill.

It seems quite risky to place the future of essential technology—which impacts our economic and military stature—in the hands of fifty separate state legislatures, yet that’s where things currently stand.