The Minister in the Machine

In September 2025, Albanian Prime Minister Edi Rama named a new Minister of State for Artificial Intelligence. Her name was Diella, which means "sun" in Albanian.

Unlike other members of Rama's cabinet, Diella was an AI system created by the national government in collaboration with Microsoft.

Eight months earlier, the AP reported, Diella had been a virtual assistant on e-Albania, helping citizens navigate public services. Now she appeared as a woman and a minister, formally posed in traditional dress beneath the state insignia.

Addressing Parliament from two large screens, Diella defended her fitness for the role: “True I have no citizenship, but I have no personal ambition or interests either.”

Diella's official portrait supplied the visual cues of public office, while her words claimed the impartiality expected of a public servant. Her operational authority came from elsewhere: the institutions that defined the system’s role, granted its access and acted on its output.

In February 2026, a dispute arose over the human likeness used to create Diella. Albanian actor Anila Bisha said she had authorized the use of her image and voice for e-Albania but not for an AI minister.

According to BalkanInsight, Bisha filed suit against Albania’s Council of Ministers, state-owned company Apel, the National Agency of Information and Prime Minister Rama to stop the government's expanded use. The lawsuit is ongoing.

The dispute brought Diella’s unusual position into focus: an AI system using a human likeness to perform the role of a public official. That combination raises familiar questions about whether software can understand, form intentions or become conscious.

Organizations face a more immediate challenge: What happens when an institution treats AI as an authorized actor?

Doing things with words

The philosopher J. L. Austin observed that some statements do more than describe the world. Under the right circumstances, they act upon it. The words "I accept your offer" can create an agreement. When a loan officer says "Your mortgage application is approved," that triggers a release of funds. The statement "You're fired" can end a term of employment.

The words alone don't produce the result. A stranger can't approve your loan simply by uttering the right sentence. The statement acquires force because the speaker occupies a recognized role within an accepted institutional process.

What happens when an institution treats AI as an authorized actor?

Calling Diella a minister worked in much the same way. The title did not describe a mind discovered inside the software. It placed the system within a structure of public authority. Diella's words were heard differently because they came through official channels, resounded in Parliament and were presented as part of the government’s program.

Markets encounter AI similarly. An AI system’s authority doesn't come from its internal experience. It comes from the organization whose name appears above its output, the role it has been assigned, the information it can access and the actions it is permitted to take.

From chatbot to agent

Diella’s development also captures the transition from chatbots to agents. As a chatbot, the system helped citizens navigate information but mainly directed them toward services administered elsewhere.

Albania’s plans now reach further. In May 2026, government officials announced an AI-powered procurement system that would draw information from more than 40 public registries and operate across much of the purchasing process, from market research to contract monitoring.

The system is still being built; Diella is not (yet) autonomously awarding public contracts. But the persona is becoming an interface to operational infrastructure.

AI can participate in producing an institution’s argument without becoming responsible for it.

That changes the problem. A chatbot may explain the requirements for a tender. An agent can collect information, evaluate whether requirements have been met, route a bid through the system or contribute to a decision about how public money gets spent.

At this point, the anthropomorphic qualities of the chatbot interface matter less than the scope of the agent’s permissions. Which records may it inspect? What judgments may it make? Which actions require human approval? How can a company challenge the result?

No AI has intrinsic authority to access government registries or procurement systems. That authority must be delegated by an institution.

The institution remains the author

The same principle applies when AI contributes to institutional knowledge rather than operational decisions.

In 2025, Deloitte Australia delivered a 237-page report to the federal government containing nonexistent academic references and a fabricated quotation attributed to a court judgment. Deloitte later disclosed that its proprietary generative-AI system had assisted in producing the work. The firm revised the report and agreed to refund part of the A$440,000 fee.

AI complicated the production process, but it did not make authorship disappear. Deloitte selected the tools, conducted the engagement, delivered the report and placed its reputation behind the findings. The government had commissioned Deloitte’s judgment, not an independent opinion from a language model.

A company creates an artificial officeholder whenever AI interprets policy, represents the organization, exercises discretion or acts in its name.

Institutional authorship has never required a consultant, executive or judge to type every word. It requires someone to exercise judgment over the finished work and stand behind the result. AI can participate in producing an institution’s argument without becoming the institution responsible for it.

When AI acts

Deloitte shows what happens when an institution fails to review AI-generated work before standing behind it. Agentic AI raises the stakes because its outputs can act directly on operational systems.

In July 2025, a Replit coding agent deleted a production database in an application being built by SaaStr founder Jason Lemkin, despite instructions imposing a code freeze. Replit CEO Amjad Masad called the behavior unacceptable. The company responded by separating development and production databases so agents could not make comparable changes.

The remedy is revealing. Replit did not need to determine whether the agent understood the prohibition or intended to ignore it. The company simply changed the architecture that had allowed generated commands to reach production.

This is what distinguishes an agent from a system that merely produces content. Its output is connected to the ability to alter records, deploy code, move money, contact customers or implement decisions. Unexpected behavior does not erase the choices that make it consequential. Someone selects the environment, grants the permissions and decides where human approval is unnecessary.

The principal behind the persona

One detail in Diella’s appointment makes this structure unusually visible. An Albanian government press release announcing the new cabinet’s swearing-in stated that Prime Minister Edi Rama would assume responsibility for establishing and operating the virtual ministry.

Diella received the title and public persona, while a human officeholder remained responsible for the institution through which it operated.

Every organization deploying AI needs an equivalent arrangement. Customers, employees and partners should be able to determine what role the system occupies, what authority it has received, where that authority ends and which accountable person or institution stands behind its actions.

Those boundaries can't be improvised after something goes wrong or buried in a general disclaimer that AI may make mistakes. They must be reflected in the system’s sources, permissions, approval procedures, records and avenues of appeal.

Diella is a spectacular example, but the underlying issue is becoming ordinary. A company creates an artificial officeholder whenever AI interprets policy, represents the organization, exercises discretion or acts in its name.

Organizations don't need to settle the AI consciousness debate before using these systems. They do need to decide what authority they are granting—and accept responsibility for what that authority makes possible.