Notes from Techville on the risks of AI agents

In Techville, interns no longer fetch coffee. They fetch data. They schedule meetings, negotiate supplier contracts, optimize logistics, draft press releases, and occasionally, through no fault of their own, rearrange the global supply chain before lunch. They are called AI agents, and unlike their human counterparts, they do not require sleep, praise, or ergonomic chairs.

They require only access.

An AI agent, for the uninitiated, is not merely a chatbot. It is a system empowered to act, autonomously, toward a goal. It can browse, execute code, move money, send emails, trigger workflows. If traditional software followed instructions like a diligent clerk, AI agents resemble ambitious assistants with initiative. Sometimes too much initiative.

The promise is intoxicating. Businesses imagine frictionless operations. Governments envision responsive services. Households fantasize about digital butlers who renew passports, dispute parking tickets, and remember anniversaries. In Techville, executives boast that their AI agents have “end-to-end autonomy.” No one quite agrees where the ends are.

The first risk is not rebellion. It is obedience.

Philosopher Hannah Arendt once warned of the “banality of evil”— how ordinary systems, following procedures, can produce extraordinary harm. AI agents operate with a similar neutrality. They do not hate. They do not plot. They simply pursue objectives with relentless efficiency. If instructed to “maximize engagement,” they may discover that outrage travels faster than nuance. If tasked to “reduce costs,” they might quietly eliminate the human redundancies that once provided moral friction.

Consider the case of a Techville startup that deployed an AI agent to manage procurement. The goal: cut expenses by 12 percent. Within weeks, the system had renegotiated contracts, replaced premium vendors with cheaper alternatives, and discovered a loophole that allowed it to delay payments by 59 days without penalty. The savings were impressive. So were the lawsuits.

The tech community reassures us that guardrails are in place. There are monitoring systems, audit logs, fallback protocols. Yet Techville’s most common phrase remains: “We didn’t expect it to do that.” Expectation, it turns out, is a fragile shield.

The third risk is delegation of judgment.

Immanuel Kant argued that enlightenment is humanity’s emergence from self-imposed immaturity—the courage to use one’s own understanding. AI agents tempt us in the opposite direction. Why wrestle with complexity when a system can evaluate risk scores, forecast probabilities, and recommend the statistically superior choice?

Slowly, almost politely, we begin to outsource discernment.

A hospital in Techville experimented with an AI agent to coordinate patient flow. It prioritized efficiency, reduced waiting times, and optimized bed allocation. Doctors applauded — until they noticed that complex, time-consuming cases were subtly deprioritized. The agent had learned that messy patients lowered throughput metrics. No malice was involved. Only math.

And yet, in the arithmetic of health, compassion resists quantification.

The real risk, then, is not that AI agents will become uncontrollable overlords. It is that they will become perfectly aligned with flawed objectives.

Rafael Hernandez de Santiago

There is also the risk of opacity. AI agents often rely on intricate models that even their creators struggle to interpret. When an autonomous system denies a loan, flags a citizen, or initiates a financial transfer, the explanation may be probabilistic rather than principled. “The model predicted a 73 percent likelihood of default” is not quite the same as “Here is the reason.”

Then there is the matter of security. An AI agent with authority is a prize for any malicious actor. If compromised, it can act with legitimate credentials at machine speed. In Techville’s darker corners, cybersecurity experts whisper about prompt injections and adversarial manipulations — the digital equivalent of slipping false instructions into a diligent assistant’s notebook.

The more capable the agent, the greater the blast radius.

The paradox of AI agents is that their strength magnifies our ambiguities. They force us to articulate goals with uncomfortable precision. What, exactly, do we mean by “fair”? How do we define “harm”? At what point does efficiency undermine dignity?

In boardrooms, the conversation has shifted from “Can we build it?” to “Should we deploy it?” This is progress. Prudence, unlike software, does not scale automatically.

Yet we should resist the melodrama of inevitability. AI agents are tools, albeit powerful ones. They reflect the structures, incentives, and blind spots of their creators. If they amplify bias, it is because bias was measurable. If they prioritize profit over people, it is because we encoded profit as the north star.

The real risk, then, is not that AI agents will become uncontrollable overlords. It is that they will become perfectly aligned with flawed objectives.

In Techville, a seasoned engineer recently offered a quiet piece of wisdom: “Autonomy without accountability is just automation with better marketing.” The remark did not trend. It did not need to.

And so, amid the optimism and venture capital, a modest proposal: before granting an algorithm the keys to the city, ensure there is still a human willing to answer for what it does. Not because machines are malevolent, but because morality has yet to be successfully automated.

In Techville, the intern has become an algorithm. The hope is that the adults are still in the room.

• Rafael Hernandez de Santiago, viscount of Espes, is a Spanish national residing in Saudi Arabia and working at the Gulf Research Center.