Last month, I participated in an AI Agent Workshop during Bermuda’s Digital Finance Forum. The workshop was hosted by the Bermuda Business Development Agency and produced by Bourn Collier of Beesmont Law and Michael Casey, Chairman of the Advanced AI Society.
Like most gatherings focused on artificial intelligence these days, there was no shortage of optimism. Apparently, we’re all just a few software updates away from a future where intelligent agents book our travel, negotiate contracts, manage investments, and eliminate much of the work that currently consumes our days.
Maybe.
Intelligence Without Responsibility
What struck me most wasn’t the technology. It was the growing disconnect between how quickly AI is advancing and how little attention is being paid to governance, accountability, and oversight. We are racing to create increasingly autonomous systems that can make decisions, move money, interact with customers, and transact with other agents, yet we have barely begun to answer the most important question: who is responsible when they get it wrong?
That’s not a technology problem. It’s an economic, legal, and societal problem. Right now, the agentic economy has a governance gap large enough to drive an autonomous truck through.
For centuries, economic activity has always had a responsible adult attached to it. Companies have directors. Banks have regulators. Doctors have licenses. Investment managers have fiduciary obligations. Even your teenager has a parent who can be sued if they do something spectacularly stupid.
AI agents are different. They can increasingly perform tasks once reserved for humans, but they are not legal persons. They cannot hold assets. They cannot be insured in the traditional sense. They cannot be sanctioned, fined, or imprisoned. Yet they can create very real consequences for consumers, businesses, and financial markets.
As I listened to the discussions throughout the workshop, I became convinced that the AI industry is asking the wrong question. The question isn’t how smart we can make AI agents. The question is who stands behind them.
Eventually, every conversation about artificial intelligence ends in the same place: accountability. When an autonomous agent loses money, violates regulations, leaks confidential information, discriminates against a customer, or simply makes a terrible decision, somebody is going to want answers. Regulators will want answers. Courts will want answers. Customers will want answers. Insurance companies will certainly want answers.
“The algorithm did it” is not going to be an acceptable response.
Five Insights from Bermuda’s AI Agent Workshop
The workshop brought together technologists, founders, regulators, insurers, lawyers, and operators. While perspectives varied, several themes surfaced repeatedly throughout the day.
1. Identity Will Become More Important Than Intelligence
Today, the AI industry is obsessed with intelligence. Tomorrow, it will be obsessed with identity.
Before you can regulate an agent, insure an agent, audit an agent, or trust an agent, you need to know two things: who it is and who is responsible for it. That sounds obvious, but it represents one of the largest unresolved issues in the agentic economy. Trust cannot exist without accountability, and accountability cannot exist without identity.
One of the more fascinating developments discussed during the workshop was the emergence of standards that bind autonomous agents to identifiable legal principals. Rather than asking who is responsible after something goes wrong, these frameworks establish responsibility before the agent acts. That distinction may ultimately prove critical.
2. Trust Will Become the Real Competitive Advantage
Every week another AI company announces a faster model, a larger model, or a cheaper model. Those advantages will become increasingly commoditized. Trust will not.
The organizations that ultimately win in the agentic economy may not be those with the most intelligent agents. They may be the ones that can demonstrate governance, transparency, accountability, and control. The ability to produce auditable records, verify authority, and clearly establish responsibility is rapidly becoming a competitive advantage rather than simply a compliance requirement.
In many respects, trust is becoming infrastructure.
3. AI May Become the Insurance Industry’s Next Major Growth Market
This was perhaps the most interesting discussion of the day and one that should immediately capture Bermuda’s attention.
Insurers are currently facing a challenge that feels remarkably familiar. There is little historical loss data for autonomous AI systems, making underwriting difficult. The market today resembles cybersecurity insurance fifteen years ago. At the time, many questioned whether cyber coverage would ever become a meaningful category. Today it is one of the fastest-growing segments in the industry.
AI risk appears to be following a similar trajectory. Before insurers can underwrite these risks at scale, they need clear governance frameworks, auditable controls, accountability structures, proof of authority, and verifiable identities. In other words, they need a trust architecture that allows risk to be measured and priced.
That’s not simply an AI challenge. It’s an insurance challenge.
And few jurisdictions understand insurance better than Bermuda.
4. Regulation Isn’t the Enemy
The tech industry often treats regulation the way teenagers treat curfews: necessary, annoying, and imposed by people who don’t understand them. But history suggests otherwise.
The internet did not scale because there were no rules. Financial markets did not grow because there was no oversight. Commercial aviation did not become trusted because pilots were left to self-regulate. Markets grow when trust grows, and trust grows when accountability exists.
The strongest sentiment from the workshop was that regulators should focus on outcomes rather than prescribing technology. The technology is evolving too quickly for rigid rulebooks. A better approach is one Bermuda has already demonstrated successfully in digital assets: regulatory sandboxes, clear accountability frameworks, risk-based supervision, technology-neutral standards, and industry collaboration.
Innovation moves fast. Good regulation creates guardrails without becoming a roadblock.
5. Bermuda Has Seen This Movie Before
This is where the conversation became most interesting.
Most jurisdictions are still debating whether AI requires regulation. Bermuda is already discussing how accountability, identity, insurance, governance, and supervision might work together. That’s a different conversation. And frankly, a more useful one.
For years, Bermuda has built its reputation around solving difficult problems at the intersection of risk, regulation, and innovation. Insurance. Reinsurance. Captives. Digital assets. Complex cross-border structures.
Now AI is arriving with a familiar set of questions. How do you govern it? How do you supervise it? How do you insure it? How do you create trust around it?
Those aren’t just software questions.
They’re Bermuda questions.
Why Bermuda Has an Opportunity
Bermuda’s experience under the Digital Asset Business Act demonstrated that innovation and regulation are not opposing forces. In fact, when done correctly, they reinforce one another. The island proved that a serious jurisdiction can create regulatory clarity without suffocating innovation.
That matters because the next decade of AI will not be defined only by who builds the most powerful models. It will also be defined by who creates the trusted frameworks that allow those models to operate safely in the real economy.
The companies building AI agents are focused on capability. The companies, insurers, regulators, and jurisdictions building accountability will create the foundations of the next economy.
That is where Bermuda has a credible and potentially significant advantage.
This is not about chasing another technology trend. It is about recognizing that the hardest problems in AI increasingly resemble the kinds of problems Bermuda already knows how to solve: risk transfer, governance, regulatory oversight, corporate accountability, and trust.
The Bigger Picture
Every major technological revolution eventually encounters the same obstacle.
Not technology.
Trust.
The internet needed trust. Digital payments needed trust. Digital assets needed trust. Now AI needs trust.
After participating in Bermuda’s AI Agent Workshop, I left convinced that Bermuda is asking exactly the right questions. The island may not have every answer yet, and no serious jurisdiction should pretend otherwise. But leadership often starts by recognizing the problem before everyone else does.
The agentic economy is coming. It will be powerful, productive, messy, and occasionally dangerous. The winners will not simply be the companies that build the smartest agents. They will be the companies, regulators, insurers, and jurisdictions that make those agents accountable.
Bermuda has an opportunity to help define that future.
And once again, it may be doing so before the rest of the world realizes the category exists.
By:
Tim Reed
Co-Founder
Y Partners LTD
