Silicon Valley is testing a new form of executive presence
The latest management experiment in tech is not just automation. It is replication. According to a new report highlighted by Wired, Meta is working on a photorealistic three-dimensional AI avatar of CEO Mark Zuckerberg that could interact with employees on his behalf. The system is reportedly being trained on his public comments, mannerisms, and current views on company strategy so staff could ask questions and receive guidance in a video-chat format.
That project is still described as early stage, and Meta did not respond to Wired’s request for comment. Even so, the idea is significant because it captures a broader shift in how powerful tech leaders appear to be thinking about AI: not simply as a productivity tool, but as a way to extend managerial reach. The underlying promise is seductive for executives. If software can stand in for the boss, then leadership stops being constrained by time, geography, or the practical limits of attention.
Wired places Meta’s reported experiment alongside other visible cases. Klarna CEO Sebastian Siemiatkowski and Zoom CEO Eric Yuan previously used AI doubles to deliver parts of quarterly earnings remarks. Those moments were partly theatrical, but they also served as previews of a more serious management ambition. The question is no longer whether AI can imitate an executive voice. It is whether companies will normalize that imitation as part of daily organizational control.
Two visions of AI management, one shared goal
The article contrasts Zuckerberg’s reported avatar concept with the approach described by Block CEO Jack Dorsey. The mechanics differ, but the destination looks similar. Zuckerberg’s model appears to be a simulated proxy that can answer questions and provide direction in a leader’s style. Dorsey’s vision, as described in a recent podcast interview cited by Wired, is more structural. He said Block’s management depth is around five layers between him and many employees, and he wants to reduce that to two or three, with the ideal case being no layer at all and everyone effectively reporting to him through a central AI system.
That is an unusually explicit statement of what some executives may see in enterprise AI: a tool for compressing hierarchy while increasing direct control. It reframes AI not as a neutral assistant for workers, but as an instrument for redesigning the chain of command. In this telling, the software does not merely help managers. It potentially replaces part of management itself while preserving, or even amplifying, the authority of the people at the top.
Dorsey’s comments land against a hard organizational backdrop. Wired notes that Block has leaned more heavily into AI while also carrying out rolling layoffs, including a 40 percent workforce reduction announced in February that affected about 4,000 employees. That context matters because it links AI management rhetoric to labor decisions. When executives talk about flatter structures and software-mediated oversight, employees may reasonably hear more than a theory of efficiency. They may hear a plan for doing more with fewer people and fewer intermediaries.
From productivity tool to corporate proxy
AI systems have long been pitched as assistants that summarize documents, draft emails, or answer questions faster than human teams. The current executive-avatar trend suggests a different use case is emerging inside large companies: turning the leader into a reproducible interface. That shift has practical implications. A digital executive can be available on demand, deliver consistent messages, and scale across internal audiences in ways a human cannot.
For companies, the attraction is obvious. Leadership bottlenecks are real. Senior executives cannot personally join every meeting, answer every policy question, or review every decision path. A believable avatar trained on approved strategy could, in theory, reduce waiting time and standardize guidance. It could also give employees a stronger sense that the company’s center is always present.
But that convenience introduces a new ambiguity. Is the employee speaking to a tool, to a policy engine, or to a synthetic extension of the chief executive? The distinction matters because organizations rely not just on communication, but on accountability. A simulated leader can project decisiveness without actually owning the decision in the same immediate way a live executive does.
The control question is becoming harder to ignore
Wired frames both the Meta and Block examples as versions of heightened control, and that reading is hard to dismiss. The aspiration behind these systems is not simply better information flow. It is a model in which executive priorities can be injected directly into more interactions, with less friction from ordinary organizational buffers.
Those buffers exist for reasons. Mid-level managers translate strategy into local context, absorb confusion, and sometimes challenge decisions before they cascade downward. Removing or bypassing them may speed alignment, but it can also centralize errors and reduce the amount of human interpretation that keeps large organizations functional. An AI proxy may preserve the voice of leadership while stripping away some of the negotiation that leadership usually requires.
There is also a cultural effect. If employees are expected to treat a synthetic executive as a legitimate source of guidance, the company is asking them to accept a new relationship with authority itself. Presence becomes programmable. Authenticity becomes optional as long as the system appears informed and responsive.
Why this matters beyond Silicon Valley theater
It would be easy to dismiss AI executive doubles as vanity projects from a narrow slice of tech culture. That would likely miss the point. What is being tested here is a management model that could spread if companies believe it cuts costs, increases consistency, or gives top leaders tighter command over fast-moving organizations.
Whether these experiments succeed or fail, they reveal an important shift in corporate AI thinking. The frontier is moving from automating tasks to automating authority signals. That is a more consequential change than another chatbot deployment. It reaches into hiring, reporting structures, internal communications, and the basic question of how power is exercised inside companies.
If Silicon Valley’s most influential executives are trying to make themselves infinitely available through software, they are not just building tools. They are prototyping a new theory of management. Employees, investors, and regulators will eventually have to decide whether that theory makes organizations sharper, or simply more controllable from the top.
This article is based on reporting by Wired. Read the original article.
Originally published on wired.com
