The math is perfect; the reality is broken. The United States is about to sell the G20 a regulatory framework that promises innovation while quietly institutionalizing extraction. The 'Carolina Principles' โ a non-binding set of guidelines to be floated at the September 1โ2 G20 Innovation Ministers meeting in North Carolina โ is not a governance framework. It is a front-running order on the global AI market, executed by a coalition of industry insiders and a White House that has already declared its allegiance to capital over safety.
Between the commit and the block lies the trap. The commit is the G20 agenda. The block is the December Leaders' Summit where these principles may gain formal endorsement. And in between, a carefully staged parade of tech elites โ Elon Musk, Sam Altman, Jensen Huang, and David Sacks โ will provide the 'industry buy-in' that gives this soft-law instrument its legitimacy. But as someone who has spent years auditing smart contracts and tokenomics, I see a familiar pattern: the framework is designed not to govern AI, but to extract maximum value from it while minimizing accountability.
Context: The Regulatory Arbitrage Play
The Biden administration's 2023 executive order on AI was a brief flicker of caution. The Trump administration extinguished it. In March 2025, the White House formally declined to create a federal AI regulator, opting instead for a patchwork of existing industry agencies and voluntary standards. That domestic stance is now being exported internationally through the Carolina Principles, which avoid new regulatory bodies, rely on existing sectoral regulators, and encourage joint government-industry testing of AI systems.
This is not a novel strategy. It is the same playbook used by the crypto industry when it embraced 'code is law' โ a phrase that sounds principled but really means 'we decide the rules.' The Carolina Principles are the AI equivalent of a DAO's 'community governance' that, in practice, is controlled by a few key holders. The G20 is the governance token; the tech oligarchs are the whales. And the so-called 'consensus' is just a mechanism to legitimize a pre-negotiated outcome.
The timing is precise. The G20 Innovation Ministers meeting on September 1โ2 is a warm-up. The real prize is the December Leaders' Summit, where the principles could be annexed to the final declaration, granting them the highest form of international political endorsement. This is a classic multi-stage attack: first, establish a non-binding framework that is easy to accept; second, use that as a springboard to normalize the framework in subsequent hard-law instruments.
The participants are not neutral observers. Musk (xAI), Altman (OpenAI), and Huang (NVIDIA) represent the three layers of AI extraction: application, model, and compute. Sacks, as the White House AI & Crypto Czar, is the administrative hand. Their presence is a signal to the market that the U.S. AI industry has captured the policy process โ a phenomenon I have documented in due diligence reports for years. When the people who stand to profit most from deregulation are the ones designing the rules, the outcome is preordained.
Core: The Incentive Autopsy
Let me decompose the Carolina Principles with the precision of a smart contract audit. Principle one: 'avoid creating new regulatory agencies.' This is the equivalent of using a multi-sig wallet with a single signer. Existing regulators โ the FTC, FDA, SEC, and their international counterparts โ lack the technical expertise to assess AI systems. They are generalists in a world of specialists. A foundational model used in healthcare, finance, and content generation cannot be effectively overseen by three separate agencies that have no communication protocol. The result is a regulatory vacuum, and vacuums are filled by the most powerful actors.
Principle two: 'reduce barriers to AI deployment.' This is a direct attack on the precautionary principle. In crypto, we saw the same argument used against smart contract audits. 'Move fast and break things' became 'deploy and hope.' The EU's AI Act, in contrast, applies a risk-based tiering where high-risk systems face stringent requirements. The U.S. framework treats AI as a monolithic technology, ignoring the fact that some uses โ autonomous weapons, medical diagnostics, financial decision-making โ carry existential risks that a simple 'let the market decide' approach cannot handle.
Principle three: 'enable joint government-industry testing.' This is the most insidious provision. It sounds collaborative, but it is an invitation for regulatory capture. When companies define the testing standards for their own products, the tests become marketing materials. In my experience auditing DeFi protocols, I have repeatedly seen projects self-certify their security with 'audits' performed by firms they pay, using methodologies they approve. The Carolina Principles institutionalize this conflict of interest on a global scale.
The economic leakage is quantifiable. The EU AI Act's compliance costs are estimated at 1โ3% of revenue for high-risk systems. The Carolina Principles would reduce that to near zero โ for U.S. companies. This is a direct transfer of wealth from society to shareholders. The framework does not just avoid regulation; it actively undermines the ability of other nations to impose their own rules. By promoting mutual recognition of standards โ a likely feature, though not yet explicit โ the U.S. can force its light-touch approach on countries that would otherwise adopt stricter measures.
Consider the 'joint testing' clause from a security perspective. When governments and corporations co-test AI systems, the governments gain access to proprietary data and model internals. In the name of national security, this is justifiable. But in practice, it creates a two-tier system where the U.S. government can access any AI system, while other countries are locked out. This is the same dynamic we saw in the cryptocurrency space, where U.S. authorities demanded backdoors in encryption while claiming to protect privacy. The math is perfect; the reality is broken.
There is a deeper structural flaw. The Carolina Principles are non-binding. They are 'soft law' โ a diplomatic euphemism for 'no one is accountable if things go wrong.' The EU AI Act includes fines up to 7% of global revenue. The Carolina Principles offer nothing but goodwill. This is not a bug; it is the feature. Soft law allows the U.S. to claim global leadership in AI governance without incurring any enforcement costs. It is a free option on future flexibility.
The front-running analogy is not rhetorical. In DeFi, MEV bots scan the mempool for pending transactions and insert their own orders to capture the spread. The Carolina Principles are the mempool of AI policy. The U.S. has seen the pending transaction of global AI regulation โ the EU AI Act, the Chinese AI regulations โ and is inserting its own order to extract value from the process. The 'consensus' of the G20 is the block confirmation, and the 'principles' are the gas fee. But here, the fee is paid in regulatory sovereignty.
Contrarian: What the Bulls Get Right
To be fair, the framework has one redeeming quality: it acknowledges that AI regulation cannot be static. The technology evolves at a pace that makes legislative cycles obsolete. The EU AI Act, finalized in 2024, may already be outdated by the time its provisions fully take effect. A non-binding framework allows for iterative adjustment, and the joint testing clause could, in theory, accelerate the development of robust safety protocols.
Moreover, the U.S. approach is politically realistic. Getting 20 countries to agree on a legally binding AI treaty in 2025 is a fantasy. The soft-law path is the only viable option for near-term international cooperation. The EU's hard-law approach has alienated many developing nations, which view it as a barrier to their AI ambitions. The Carolina Principles, if genuinely collaborative, could provide a baseline for global AI development that does not disproportionately benefit the richest nations.
The bulls also have a point about the 'race to the bottom.' The fear is that strict regulation in one jurisdiction will push AI development to unregulated havens, leaving everyone worse off. A light-touch framework, by harmonizing standards upward, could prevent that fragmentation. But this argument assumes that the U.S. will actually enforce any standards, which the non-binding nature of the principles makes unlikely.
Still, I cannot dismiss the possibility that the Carolina Principles are a genuine attempt to create a flexible, innovation-friendly governance structure. The presence of industry leaders could be interpreted not as capture, but as a pragmatic engagement with those who understand the technology best. The government-industry testing mechanism could, with independent oversight, become a model for rapid safety assessment.
However, the missing piece is the oversight. Who watches the watchers? The framework does not specify any independent body to monitor the 'joint testing' or to audit the testing results. Without that, the entire structure is a house of cards. The logic holds; incentives collapse. The incentives for companies to cut corners are overwhelming, and the absence of accountability guarantees they will.
Takeaway: The Accountability Void
This is not about AI. It is about power. The Carolina Principles are the latest iteration of a centuries-old struggle: who gets to set the rules for transformative technologies? The answer, if the G20 adopts this framework, is that the rule-setters will be the same entities that profit from the technology. The EU's strict approach has its flaws, but at least it acknowledges that the state has a role in protecting its citizens. The U.S. framework outsources that role to the market, and markets have no conscience.
The December Leaders' Summit is the test. If the Carolina Principles are adopted without substantial modification, we will have a global regulatory framework that institutionalizes the front-running of public interest by private capital. The question is not whether the framework will fail โ it will, spectacularly, at the first major AI safety incident. The question is how much damage it will do before that failure becomes undeniable.
As a due diligence analyst, I have seen this pattern before. In 2021, I audited a smart contract that had a fatal integer overflow. The team dismissed my findings, citing time-to-market. The exploit was triggered within 48 hours of launch. The Carolina Principles are that integer overflow, waiting for a trigger. The math is perfect; the reality is broken. And when it breaks, the G20 will hold no one accountable.
Trust is a variable that must be zero. Zero trust in the framework, zero trust in the process, and zero trust in the actors who designed it. The only honest response is to treat the Carolina Principles as what they are: a regulatory arbitrage vehicle. The illusion breaks when the liquidity dries up. Here, the liquidity is public trust. And it is being drained as we speak.
Every transaction is a potential extraction point. The Carolina Principles are the transaction. The G20 is the ledger. And the world is the counterparty. Watch the December Summit. If the principles are adopted, you will know who wrote the rules โ and who will be paying the price.