By Jonathan Mast, Founder of White Beard Strategies
What happens when you ask a horse-and-buggy driver to design a sports car? You get a faster horse. What happens when you ask a politician to regulate the most powerful technology humanity has ever created? You get a disaster. Right now, as you read this, there are people in rooms with flags behind them who think “algorithm” is a new dance craze, and they are sharpening their pens to write the rules for artificial intelligence. They are about to put a governor on a rocket ship. They are about to pour molasses into the engine of the future. And the clock is ticking, because the wrong people are reaching for the controls.
Let’s cut right to the chase: government regulation is NOT the answer for AI. It’s a well-intentioned but fundamentally flawed approach that will be too slow, too clumsy, and too damaging. The real solution — the one that will be more effective, faster, and cause far less harm — is a powerful combination of responsible industry self-discipline and relentless consumer pressure. This isn’t a hopeful theory. It’s a proven historical pattern. The tech industry has successfully self-regulated before, creating the secure, functional internet you use right now, without waiting for politicians to tell them how. The current political landscape, combined with a rising tide of consumer awareness, creates the perfect recipe for the marketplace itself to forge the standards for responsible AI. We don’t need a new government agency to save us from AI. We need to trust the same forces that have successfully guided major technological revolutions before this one: the builders and the buyers.
Key Takeaways
- History overwhelmingly shows that industry self-regulation, driven by market needs and consumer demand, is faster and more effective than slow-moving government bureaucracy — especially in technology.
- Landmark examples like PCI-DSS for credit card security and SSL/TLS for website encryption prove that industries can and do create robust safety standards years before governments even understand the technology.
- Government attempts to regulate technology have a track record of being counterproductive, harming innovation, and creating massive compliance burdens that crush small businesses — as seen with GDPR, COPPA, and the “Crypto Wars.”
- The AI industry is already proactively building safety frameworks, with major players like OpenAI, Anthropic, and Google leading initiatives and forming coalitions like the Frontier Model Forum to establish responsible practices.
- The current U.S. federal stance is explicitly pro-innovation and hands-off on regulation, creating a unique opportunity for a consumer-driven movement to shape the market for responsible AI — a pattern that has successfully driven standards in everything from organic food to vehicle safety.
The Track Record: When Industry Got There First
Before we look forward, we have to look back. The idea that we need to wait for government to make technology safe is a myth. In reality, the builders of new technologies have created the necessary guardrails themselves, long before any laws were written. They did it not out of the goodness of their hearts, but because of a powerful motivator: market viability. Unsafe, untrustworthy products don’t sell. It’s that simple.
Think about the last time you bought something online. You entered your credit card number without a second thought. Why? Not because of a law passed in Washington, but because of the Payment Card Industry Data Security Standard (PCI-DSS). In the wild west of early e-commerce, the major credit card companies — Visa, Mastercard, American Express, Discover, and JCB — realized that if people didn’t feel safe, their entire business model would collapse. So in 2004, they came together and created their own unified security standard [1]. This was years before data security became a serious legislative topic. Innovations like credit card vaulting and tokenization, which protect your data today, were also created by the industry, for the industry. TrustCommerce introduced tokenization as early as 2001 [2]. The builders saw the problem and fixed it. Congress was still figuring out email.
Or consider the little padlock icon in your browser. That’s SSL/TLS, the encryption that secures your connection to a website. It wasn’t a government mandate. It was invented by Netscape in 1995 because they knew that for people to use the web for anything sensitive, they needed to trust it [3]. For over ten years, SSL/TLS became the industry standard through pure market forces. It wasn’t until 2015 — two full decades later — that the U.S. government finally mandated HTTPS for its own websites [4]. And more recently, it was Google, a private company, that drove near-universal adoption by having its Chrome browser flag all unencrypted sites as “not secure” in 2018 [5]. That single move by a market player did more for web security than a thousand pages of legislation.
This pattern repeats itself across history:
| Industry Self Regulation | Year Created | Government Action (if any) | What Happened |
| MPA Film Ratings | 1968 | None — preempted censorship | The industry has successfully self regulated film content for over 50 years, no government censorship needed [6]. |
| ESRB Video Game Ratings | 1994 | None — preempted regulation | Created in response to moral panic over violent games. The “Hot Coffee” controversy proved the system works [7]. |
| Advertising Standards (NAD/NARB) | 1971 | Works alongside FTC, but leads | Has resolved thousands of deceptive advertising cases without government action for over 50 years [8]. |
| ICANN (Internet Governance) | 1998 | Took over FROM government | Moved internet domain management from government control to a private, multi-stakeholder model [9]. |
| IEEE / W3C Technical Standards | 1884 / 1994 | None | Created the standards for Wi-Fi, Ethernet, HTML, and CSS — the backbone of the modern internet. |
The people building the future are the best equipped to make it safe and functional. They have the expertise, the agility, and the direct financial incentive to get it right.
When Government Got It Wrong
If the history of industry success isn’t convincing enough, consider the government’s track record when it does try to regulate technology. It’s a highlight reel of unintended consequences, stifled innovation, and colossal waste.
The Children’s Online Privacy Protection Act (COPPA) of 1998 is a textbook example. Intended to protect kids’ privacy, its burdensome parental consent rules led most websites and online services to simply ban anyone under 13 [10]. The result? Kids were either locked out of valuable educational and social tools, or they just lied about their age. The law taught children to evade rules instead of being protected by them.
Then there’s the infamous EU Cookie Law. It was supposed to give you control over your data. Instead, it gave us a plague of annoying banners that billions of people click “accept” on without reading — a phenomenon now known as “consent fatigue” [11]. It created a worse user experience for the entire internet with zero meaningful improvement in privacy. That’s not regulation. That’s decoration.
More recently, the General Data Protection Regulation (GDPR), while noble in its goals, has been a nightmare for small businesses. Initial compliance costs can range 5, 000toover
from 75,000, and some studies show average costs reaching $1.7 million for small to mid-sized firms [12]. That’s a massive barrier to entry that protects large, established corporations from smaller, more innovative competitors. The regulation designed to help the little guy ended up being the big guy’s best friend.
And sometimes, government regulation is not just clumsy — it’s actively destructive. During the “Crypto Wars” of the 1990s, the U.S. government classified strong encryption as a munition, like a missile or a tank, severely restricting its export [13]. This crippled American tech companies, preventing them from competing globally and effectively handing the market to foreign firms. It was a self-inflicted wound on our own economy and national security, and it took years to undo the damage.
The pattern continues. The Supreme Court struck down parts of the Communications Decency Act as unconstitutional in Reno v. ACLU [14]. The Sarbanes-Oxley Act imposed average compliance costs of $1.6 million and 11,800 hours annually on companies [15]. The evidence is clear: government regulation is a blunt instrument in a field that requires a scalpel. It’s slow, it’s broad, and it consistently fails to keep pace with the speed of innovation.
The AI Industry Is Already Self-Regulating
Now, the skeptics will say, “But AI is different! It’s too powerful, too dangerous to be left to the industry.” But that argument ignores the unprecedented level of proactive self-regulation that is already happening in the AI space. The AI industry is building safety infrastructure at a speed and scale that no previous technological revolution has seen.
Anthropic published its Responsible Scaling Policy in September 2023, creating a system of AI Safety Levels (ASLs) — modeled after biosafety levels — to manage risks as models become more powerful. It’s a clear, public framework for accountability, approved by their board [16]. OpenAI has its Preparedness Framework, a constantly updated system for tracking and mitigating emerging risks, overseen by an internal Safety Advisory Group. It was most recently updated in April 2025 [17]. Google DeepMind has a multi-layered governance structure, including a Responsibility and Safety Council and an AGI Safety Council, all guided by public AI Principles [18].
But these aren’t just individual company policies. The industry is collaborating on a global scale. The Frontier Model Forum, founded by Amazon, Anthropic, Google, Meta, Microsoft, and OpenAI, is dedicated to sharing best practices and advancing AI safety research [19]. The Partnership on AI brings together over 100 organizations from industry, academia, and civil society [20]. The NIST AI Risk Management Framework, released in January 2023, provides a voluntary, flexible guide for any organization to manage AI risks [21]. And international bodies like ISO/IEC have already published 47 AI standards with 53 more under development [22].
In July 2023, seven leading AI companies made voluntary commitments directly to the White House, pledging to prioritize safety, security, and transparency through measures like third-party red-teaming and watermarking AI-generated content [23]. Microsoft has operationalized six core Responsible AI principles — fairness, reliability, privacy, inclusiveness, transparency, and accountability — across its entire product line.
This is not an industry hiding from its responsibilities. This is an industry stepping up to meet them, building the guardrails as they build the engine. And they are doing it faster and with more technical precision than any government body could.
The Current Political Landscape: A Perfect Storm
The conditions are uniquely favorable for this self-regulation to succeed. Right now, the federal government in the United States is taking a deliberate hands-off approach. An executive order issued on December 11, 2025, made the administration’s stance clear: the goal is to foster a “minimally burdensome” national approach to AI to ensure the U.S. remains the global leader in innovation [24]. The order established an AI Litigation Task Force to challenge overreaching state-level AI laws and directed the Commerce Department to identify and evaluate onerous state regulations.
This creates a fascinating and powerful dynamic. While the federal government is focused on advancement over regulation, a handful of states are attempting to create their own patchwork of rules. Colorado’s AI Act (SB24-205), effective February 1, 2026, regulates “high-risk” AI systems to prevent algorithmic discrimination [25]. California’s SB 53 targets developers of large frontier AI models, requiring public safety and risk management plans [26]. Illinois has enacted AI-in-employment regulations effective January 1, 2026.
This tension between state and federal is actually a good thing. It puts pressure on the industry to create a high, uniform standard that makes state-by-state compliance irrelevant. A strong, national, industry-led standard is the only logical way to cut through the confusion. The federal government is using its leverage — including federal funding — to discourage the patchwork approach. The message is clear: innovate first, and let the marketplace sort out the standards.
This federal stance creates a vacuum. But it’s not a dangerous vacuum. It’s an opportunity. It’s a space for a more powerful force to step in and guide the development of AI.
That force is you. The consumer.
The People’s Power: Civil Movements Drive Standards
Throughout history, the most powerful and lasting standards have not been handed down from on high by governments. They have bubbled up from the ground, driven by the collective will of the people.
The organic food you see in your grocery store is a perfect example. There was no government agency that invented the concept. It was a civil movement of consumers who demanded healthier, more sustainable food [27]. The industry responded, and the market grew from a niche into a multi-billion-dollar powerhouse. When the USDA finally tried to create a federal standard in 1997, their first draft was so bad — allowing for irradiated and genetically modified foods to be labeled “organic” — that it was met with over 275,000 angry public comments. The people rejected the government’s standard, and the USDA was forced to go back and write a new one that actually reflected the values of the movement [27]. The people led. The government followed.
The Fair Trade movement follows the same script. It began as a grassroots effort after World War II and gained mainstream power when the Fair Trade certification label was introduced in 1988 [28]. This allowed consumers to “vote with their wallets” for ethically sourced products. Today, major corporations like Costco, Sam’s Club, and McDonald’s carry Fair Trade products — not because of a law, but because of consumer demand.
This power can also be focused like a laser. The 2013 documentary Blackfish turned public opinion against SeaWorld’s practice of keeping orcas in captivity. The subsequent consumer boycott was devastating. Attendance plummeted, the stock price crashed, and the company was ultimately forced to end its orca breeding program [29]. No law was passed. The people spoke, and the market listened.
Even the Montgomery Bus Boycott of 1955-1956, one of the most significant civil movements in American history, demonstrated this principle: when people organize around a shared value, the marketplace — and eventually the law — bends to their will.
This is the model for AI.
The Perfect Recipe
Here’s where it all comes together. You now have two powerful forces working in the same direction:
Force One: A federal government that is deliberately stepping back. The current administration has made it clear that it will not strangle AI with regulation. It is actively fighting state-level overreach and creating space for the industry to lead.
Force Two: A consumer base that is more informed, more connected, and more vocal than at any point in human history. You have access to more information about the companies you do business with than any generation before you. You can organize, boycott, amplify, and demand accountability at the speed of a social media post.
The combination of federal hands-off and consumer pressure is the perfect recipe for marketplace standardization of responsible AI. This is not theoretical. This is the exact pattern that has driven standardization in organic food, fair trade, payment security, web encryption, film ratings, video game content, advertising standards, and internet governance. The ingredients are the same. The recipe is proven.
And here’s what makes this moment even more promising: the AI industry has more self-regulation infrastructure in place right now than any previous technology had at this stage of its development. We have competing safety frameworks, international standards bodies, multi-stakeholder coalitions, and voluntary commitments — all before any significant federal legislation has been passed. That’s not a failure of governance. That’s a success of the marketplace.
Dismantling the Counterarguments
Even with all this evidence, there will be those who still call for government control. Let’s address their strongest arguments head-on.
“But AI is too dangerous to leave to corporations!”
So was the internet. So was encryption. So was nuclear power. Transformative technologies come with risks. The key is to manage those risks with expertise and agility. A slow-moving bureaucracy playing catch-up is far more dangerous than a dynamic industry with a direct stake in getting safety right. The AI companies employ the world’s leading experts in safety and alignment. The government does not.
“Companies can’t be trusted — they only care about profit!”
Exactly. And that’s why self-regulation works. Nothing is more profitable than trust. A single major safety failure, a breach of public trust, can destroy a company’s reputation and market value overnight. Ask SeaWorld. The fear of losing customers is a far more powerful motivator for good behavior than the threat of a government fine that takes years to enforce.
“Self-regulation is just the fox guarding the henhouse!”
This analogy doesn’t hold up. It’s not one fox. It’s a dozen competing foxes who are all trying to convince the farmer that their henhouse is the safest. The competition between OpenAI, Anthropic, Google, Microsoft, Meta, and others to be seen as the most “responsible” and “safe” platform creates more accountability and transparency than a single, monolithic government agency could.
Frequently Asked Questions
Won’t a lack of federal regulation create a confusing patchwork of state laws?
It already is — and that’s precisely why the industry is so motivated to create a high, uniform national standard. A single, robust self-regulatory framework is the best way to preempt and harmonize dozens of potentially conflicting state laws. It provides clarity for businesses and consumers alike.
What happens if a company refuses to comply with industry standards?
In a consumer-driven market, non-compliance is business suicide. They lose access to partners, face boycotts from customers, and get publicly called out by their competitors. The market itself provides the enforcement mechanism — and it’s often faster and more severe than any government penalty.
Can’t government and industry work together?
They can, and they should — but in the right roles. The government’s role is to set broad national goals, enforce existing laws against fraud and discrimination, and act as a backstop. The industry’s role is to develop the specific, technical, and rapidly evolving standards for how to achieve those goals safely. The NIST AI Risk Management Framework is a great model for this kind of public-private partnership.
The Choice Is Yours
We are at a crossroads. The path of government regulation is the easy, familiar, and comfortable choice. It feels like we’re “doing something.” But it is the wrong choice. It is the path of stagnation, of unintended consequences, of putting the brakes on the greatest engine for human progress we have known.
The other path is harder. It requires us to be active, engaged citizens and consumers. It requires us to trust the proven patterns of history and the power of the free market. It is the path of industry accountability and consumer-driven change.
So what now? You have a choice. You can sit back and wait for a committee of politicians to hand you down a set of rules they barely understand — rules that will be outdated the moment they are printed. Or you can be part of the solution. You can be part of the civil movement that will define the future of artificial intelligence.
Demand transparency. Ask the companies you do business with what their AI principles are.
Vote with your wallet. Support the platforms and products that are committed to safety and ethics.
Use your voice. Talk about this. Share this. Be the signal, not the noise.
The perfect recipe is here. The federal government is giving us the space to innovate. The industry is stepping up with real frameworks and real accountability. Now, it’s our turn. This is how real change has happened throughout history. And it is how we will ensure that AI serves humanity for generations to come.
References
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[2] Upbin, Bruce. “Tokenization And The Collapse Of The Credit Card Payment Model.” Forbes, 15 Feb. 2013. https://www.forbes.com/sites/bruceupbin/2013/02/15/tokenization-and-the-collapse of-the-credit-card-payment-model/
[3] DigiCert. “The Evolution of SSL and TLS.” DigiCert.com. https://www.digicert.com/blog/evolution-of-ssl
[4] Ribeiro, John. “US to require HTTPS for all government websites.” PCWorld, 9 June 2015. https://www.pcworld.com/article/427922/us-to-require-https-for-all government-websites.html
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[7] Game Developer. “A Brief History of the ESRB.” 29 Oct. 2007. https://www.gamedeveloper.com/business/a-brief-history-of-the-esrb
[8] BBB National Programs. “50 Years of Advertising Industry Self-Regulation.” https://bbbprograms.org/programs/advertising/nad/50th
[9] ICANN. “ICANN’s Historical Relationship with the U.S. Government.” https://www.icann.org/en/history/icann-usg
[10] Future of Privacy Forum. “New Study Reveals Unintended Consequences of COPPA.” 19 Apr. 2011. https://fpf.org/blog/new-study-reveals-unintended consequences-of-coppa/
[11] Utz, C., et al. “(Un)informed Consent: Studying GDPR Consent Notices in the Field.” Proceedings on Privacy Enhancing Technologies, 2019. https://petsymposium.org/2019/files/papers/issue3/popets-2019-0039.pdf
[12] Jia, J., et al. “GDPR and the Lost Generation of Innovative Apps.” MIT Sloan, 28 May 2020. https://mitsloan.mit.edu/ideas-made-to-matter/gdpr-and-lost-generation innovative-apps
[13] Green, Matthew. “The Failure of US Encryption Regulations.” Technology Stories, 15 Nov. 2017. https://technologystories.org/the-failure-of-us-encryption-regulations/
[14] Oyez. “Reno v. American Civil Liberties Union.” https://www.oyez.org/cases/1996/96-511
[15] MIT Sloan. “MIT Sloan study shows negative effects of Sarbanes Oxley.” 14 June 2010. https://mitsloan.mit.edu/newsroom/press-releases/mit-sloan-study-shows negative-effects-of-sarbanes-oxley
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[18] Google DeepMind. “Responsibility & Safety.” https://deepmind.google/responsibility-and-safety/
[19] Frontier Model Forum. https://www.frontiermodelforum.org/ [20] Partnership on AI. https://partnershiponai.org/
[21] National Institute of Standards and Technology. “AI Risk Management Framework.” https://www.nist.gov/itl/ai-risk-management-framework
[22] ISO/IEC JTC 1/SC 42. “Artificial intelligence.” https://www.iso.org/committee/6794475.html
[23] Harvard Law Review. “Voluntary Commitments from Leading Artificial Intelligence Companies on July 21, 2023.” 10 Nov. 2023. https://harvardlawreview.org/print/vol- 137/voluntary-commitments-from-leading-artificial-intelligence-companies-on-july- 21-2023/
[24] The White House. “Ensuring a National Policy Framework for Artificial Intelligence.” 11 Dec. 2025. https://www.whitehouse.gov/presidential actions/2025/12/eliminating-state-law-obstruction-of-national-artificial-intelligence policy/
[25] Colorado General Assembly. “SB24-205 Consumer Protections for Artificial Intelligence.” https://leg.colorado.gov/bills/sb24-205
[26] Brookings Institution. “What is California’s AI safety law?” 10 Oct. 2025. https://www.brookings.edu/articles/what-is-californias-ai-safety-law/
[27] Harvard University. “The History of Organic Food Regulation.” DASH Repository. https://dash.harvard.edu/bitstreams/7312037c-ad73-6bd4-e053-
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[29] Freedom Forum. “11 of the Most Famous Boycotts in US History.” https://www.freedomforum.org/famous-boycotts/
