What Happens When Financial Risk Grows Faster Than Accountability?
When representatives from OpenAI, Anthropic, Google, and Meta were questioned about catastrophic AI risks at a New York City hearing, one moment stood out: none of the four representatives raised their hands when asked whether their companies carried insurance covering catastrophic risks.
That raised an uncomfortable question. If something goes terribly wrong, who ultimately absorbs the cost?
For Lynette Zang, the exchange brought back memories of two major financial crises: the 1998 collapse of Long-Term Capital Management and the 2008 global financial crisis.
The connection is not simply about artificial intelligence. It is about leverage, interconnected financial institutions, hidden liabilities, and the dangerous assumption that sophisticated companies can adequately regulate their own risks.
The warning is straightforward: Risk does not necessarily remain where it originates. It can spread throughout the financial system, reaching people who never knowingly agreed to take it.
The 1998 Long-Term Capital Management Collapse: A Warning About Hidden Risk
In 1998, Long-Term Capital Management (LTCM) was considered one of the most sophisticated investment operations in the world.
Its leadership included Nobel Prize-winning economists, brilliant mathematicians, and financial professionals using complex models to navigate global markets.
For several years, those models appeared extraordinarily successful.
But repeated success created confidence, and that confidence encouraged greater leverage.
When the Asian currency crisis struck and Russia subsequently defaulted, LTCM's highly leveraged derivatives positions began moving against the firm.
The problem extended far beyond one investment fund.
LTCM had derivatives contracts connecting it to major financial institutions worldwide. If the fund collapsed, the obligations on the other sides of those transactions would not simply disappear.
This is known as counterparty risk, the possibility that one party to a financial agreement cannot fulfill its obligations.
Jim Rickards, who served as LTCM's general counsel and helped negotiate its rescue, described how close the situation came to a global financial market meltdown.
The interconnected nature of those trades made LTCM's failure a potential threat to the broader financial system.
That is the lesson Lynette emphasizes: even when a financial institution appears to understand its own positions, it may not fully understand the consequences of those positions throughout the system.
How the 1998 Rescue Helped Set the Stage for 2008
Following LTCM's rescue, Time magazine featured Robert Rubin, Alan Greenspan, and Larry Summers on its cover under the title "The Committee to Save the World."
But Lynette questions what financial authorities actually learned from the crisis.
Rather than treating the near-collapse as evidence that the derivatives system had become dangerously complicated, the rescue appeared to reinforce confidence in the system's management.
Regulators continued relying heavily on market discipline, the belief that sophisticated institutions, creditors, and counterparties would control excessive risk through their own self-interest.
Brooksley Born, then chair of the Commodity Futures Trading Commission (CFTC), pushed for greater derivatives oversight. Her efforts faced powerful opposition.
The underlying assumption was that financial institutions would regulate themselves because doing so served their interests and those of their shareholders.
Then came 2008.
During congressional testimony following the financial crisis, Alan Greenspan acknowledged a flaw in his understanding of how financial markets functioned.
The assumption that self-interest would adequately control financial risk had failed.
For Lynette, the connection between 1998 and 2008 is critical.
Brilliant people can understand their financial models and still misunderstand the larger system those models are connected to.
And when those assumptions fail, the consequences can spread through leverage, collateral arrangements, derivatives, and counterparty relationships.
The $300.5 Trillion Derivatives Market and the Danger of Netting
The scale of interconnected financial obligations remains a central concern.
Lynette points to figures from the Office of the Comptroller of the Currency showing that U.S. banks reported approximately $300.5 trillion in derivatives notional amounts.
After netting, the reported initial credit exposure was approximately $291 billion.
These figures represent different measures. Notional amounts describe the reference value underlying derivatives contracts, while net credit exposure reflects certain offsetting obligations.
However, Lynette warns that focusing exclusively on the smaller figure can create a misleading sense of security.
Netting may offset contractual exposures, but it does not eliminate every underlying promise or every possible source of systemic risk.
The central questions remain:
- Who is responsible for fulfilling the obligations if a counterparty fails?
- What happens when collateral values move sharply against leveraged positions?
- How many financial institutions are connected through the same trades?
- What risks remain hidden through netting arrangements and off-balance-sheet structures?
These are the kinds of interconnected vulnerabilities Lynette describes as financial "doom loops."
A disruption in one part of the system can trigger demands for collateral, forced selling, and additional financial pressure elsewhere.
Understanding those connections becomes particularly important when a rapidly expanding industry begins accumulating substantial debt.
AI Companies Face Questions About Safety and Catastrophic Liability
At the New York City hearing, representatives from OpenAI, Anthropic, Google, and Meta faced questions about their companies' approaches to AI safety.
One question asked whether they would commit not to release an AI model if it failed either an internal safety test or independent third-party validation.
The representatives did not provide the simple, unconditional commitment being requested.
An OpenAI representative explained that the company had previously delayed model releases to establish appropriate safeguards and would do so again.
But Lynette highlights the distinction between describing past safety precautions and committing to stop a release when testing indicates a serious problem.
The hearing then turned to catastrophic liability insurance.
When the representatives were asked to raise their hands if their companies carried insurance for catastrophic risks, no hands went up.
That did not establish the full extent of each company's financial arrangements, but it left a major question unanswered.
If an AI-related catastrophe causes widespread harm, who pays?
When a representative was asked about the possibility of the public absorbing the costs, the response was that he did not know the answer and would consult the company's lawyers.
For Lynette, the exchange revealed a troubling parallel to earlier financial crises.
Companies developing powerful technologies may have extensive knowledge of their individual systems while still lacking a complete understanding of their broader consequences.
AI Expansion, Deregulation, and the Next Layer of Financial Risk
The hearing occurred against a backdrop of federal policies intended to accelerate private-sector AI innovation.
Under President Trump's administration, the stated direction has been to reduce regulations considered unnecessarily burdensome while encouraging technological development.
Lynette does not frame the question as a simple argument for or against deregulation.
Instead, she asks what assumptions are being made about the industry's ability to identify and manage its own risks.
At the same time, substantial amounts of debt are being raised to finance AI infrastructure, including:
- Data center construction and expansion
- Graphics processing units (GPUs) and computing equipment
- Electricity and power infrastructure
- Other resources required to support AI development
This borrowing creates financial obligations that may connect technology companies, lenders, infrastructure providers, and investors.
But Lynette identifies another area requiring investigation: the derivatives potentially attached to that debt and infrastructure expansion.
Who is hedging interest rate risk? Who is managing power-related financial exposure? Who is taking the other side of credit-related transactions?
And what obligations might exist outside the balance sheets that investors ordinarily examine?
Lynette makes clear that she does not yet have all those answers.
Her concern is that the financial relationships supporting AI expansion could become increasingly complicated before their systemic implications are fully understood.
The parallels to LTCM and the 2008 crisis make those unanswered questions especially important.
Why Financial Preparation Must Begin Before a Crisis
The greatest danger, Lynette argues, is waiting until a crisis exposes the risks.
By that point, individuals may face fewer choices, reduced access to financial resources, and greater difficulty protecting their wealth.
That is why understanding the structure of personal investments matters.
A portfolio may contain financial instruments connected to institutions, counterparties, collateral arrangements, or other obligations that are not immediately obvious.
Examining those connections before financial conditions deteriorate allows individuals to make more informed decisions.
Lynette's approach emphasizes financial sovereignty and sound money strategies built around tangible assets, including physical gold and silver.
The objective is not to predict precisely when a crisis will occur.
It is to establish a foundation for wealth preservation and financial resilience while choices remain available.
The Eight Pillars of Preparedness
Lynette's approach to economic collapse preparation extends beyond investments.
Following the 2008 financial crisis, she began developing a more comprehensive preparedness framework, including urban farming and practical resources intended to support a reasonable standard of living.
Her eight pillars of preparedness are:
- Food: Establishing access to essential nutrition.
- Water: Securing a dependable water supply.
- Energy: Preparing for disruptions to conventional energy access.
- Security: Protecting personal safety and essential resources.
- Barterability: Holding physical silver as a tangible asset that can support exchange.
- Wealth Preservation: Using physical gold as part of a sound money strategy intended to preserve wealth.
- Community: Building trusted relationships and local support networks.
- Shelter: Maintaining a secure place to live.
These pillars reflect Lynette's belief that genuine financial freedom requires more than holding conventional financial assets.
Physical gold and silver serve different purposes within this framework, with gold emphasizing wealth preservation and silver supporting barterability.
Community relationships and essential resources provide additional layers of preparation.
Even after years of developing her own preparedness systems, Lynette acknowledges that there is always more work to do.
Her message is not that preparation can eliminate every risk. It is that taking action before a crisis can help reduce its impact on individuals and their families.
Understand What Your Wealth Is Connected To Before the System Breaks
The AI hearing raised questions that extend far beyond technology.
Who is responsible when a powerful system fails? Who understands the risks? And who ultimately bears the consequences when those risks spread?
The lessons of 1998 and 2008 demonstrate why these questions deserve serious attention.
Financial sophistication does not guarantee that every risk has been identified. Self-regulation does not guarantee that companies will act before problems become systemic. And complex financial arrangements can make it difficult to determine where the ultimate exposure resides.
For individuals seeking to protect their savings, retirement security, and financial independence, waiting for the next crisis is not a sound money strategy.
As Lynette warns, ignorance does not provide immunity from financial risk. It creates vulnerability.
The time to understand what is in a portfolio, how those assets are held, and what institutions they depend upon is before those relationships come under stress.
Take Control of Your Financial Future With Zang International
Financial sovereignty begins with understanding what you own and what your wealth depends upon.
At Zang International, strategy specialists help individuals examine their financial positioning and explore sound money strategies centered on physical gold and silver, tangible assets, and long-term wealth preservation.
Whether the concern is systemic financial risk, growing leverage, potential currency instability, or preparation for a future economic crisis, the first step is understanding the available choices.
Visit zangintl.com to connect with a Zang International strategy specialist and learn how physical gold and silver can fit into your personal sound money strategy.
The time to prepare is while choices are still available.
