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Laid-Off Developers Create AI Model to Replace CEOs and Other Executives
A group of developers who were let go due to AI efficiency savings have struck back at the executives who are often shielded from AI-induced layoffs by creating OpenExecutive, an AI tool designed to augment and replace executive decision-making, TechRadar reports. "Work happens around the clock. Leadership doesn't scale with it," a demo video says. Using the kind of language that executives have grown comfortable throwing around about AI replacing workers over the past years, it suggests the bottleneck to productivity and enhanced profitability at companies isn't a lack of worker enhancements; it's that leadership can't keep up. So why not replace them with AI? OpenExecutive presents as a singular AI for interactive purposes. However, in making its C-Suite-grade decisions, it leans on a virtual board of eight AI agents designed to emulate experts within an organizational structure. The singular voice is backed by an emulated CSO, CFO, HR officer, COO, marketing chief, a product officer, and a board comms director. Each of them can lean on the main executive AI to guide its actions and suggestions. They can all draw from company documents and data, remember their decisions, and trace back reasoning for that if you want to follow up on why they decided to do certain things. OpenExecutive is built on Anthropic's Claude AI model, using Claude Sonnet 4.6 by default, and Opus 4.7 for deeper reasoning tasks. It's distributed under the Apache 2.0 license, so anyone can use, modify, run it internally, or develop their own commercial product based on it. Although the whole project is somewhat tongue-in-cheek and a reminder to the higher-ups that AI may well come for us all eventually, it does have some legitimate uses. For smaller businesses that want organizational expertise to guide growth and expansion strategies, this kind of AI could be extremely useful. It might also be handy for any workers who want to get ahead of what their boss has planned for the future. Maybe you could offer useful suggestions for the business that would make you appear like a straight shooter with upper management written all over you. It also highlights the limitations of AI in meaningful ways that should be readily apparent wherever they're applied. OpenExecutive is designed as an advisory tool. It can't sign documents or hold legal weight; it can't actually replace decision-making positions. It augments them. While AI tools for employees are often suggested as replacements for workers, the technology can never replicate the nuance or taste of actual humans. Even if OpenExecutive isn't going to replace your boss's boss, maybe it can help them understand that.
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'It allows workers to experiment with the same logic their employers have been applying to them' -- developers reportedly lost their jobs to an 'AI Transformation', so they built an AI that can replace the CEO
Fired developers turned management's favorite cost-cutting argument against the people at the top A group of developers reportedly lost their jobs during what their employer called an "AI Transformation." Their response was unusually literal. They built OpenExecutive, an open-source system designed to perform work associated with a CEO and the rest of the executive suite. The employer and CEO have not been named in the online discussion, and OpenExecutive's own materials don't present it as revenge for a particular firing. That said, it's hard not to see some specific grievances in both the project and the response online, with lots of comments gleefully welcoming senior management to the automation discussion. The appeal is easy to understand after several years of executives explaining that AI will make organizations leaner, usually while standing a comfortable distance from the part being trimmed. OpenExecutive presents one AI executive to the user, but that voice is backed by eight specialist agents. The virtual management team includes equivalents of everything from a chief strategy officer and chief operating officer to general counsel and a board communications director. It can draw on company documents, remember previous decisions, and surface follow-up actions later. Org chart forked OpenExecutive uses Anthropic's Claude models by default, with an executive agent routing requests to whichever specialists seem relevant. The developers pitch it as a C-suite group chat in which everyone responds promptly. The project is distributed under the permissive Apache 2.0 license. Anyone can inspect it, modify it, run it internally or build a commercial product around it. That open-source element gives the project more weight than a chatbot sold as a digital chief executive might usually represent. It also allows workers to experiment with the same logic their employers have been applying to them. If a company can divide software development into tasks, feed those tasks to models, and keep a few people around for supervision, it can do so. The comparison is not entirely frivolous. Executive work involves processing information, preparing scenarios, comparing trade-offs, and producing documents for other executives. Those are all activities developers think AI models can handle. It makes OpenExecutive both a product and a satire of AI products. AI replacement has often been discussed as something that moves upward from the bottom of an organization, consuming routine work before eventually reaching management. The developers have turned the telescope around and discovered that a surprising amount of executive labor also looks like information moving between boxes. Human accountability OpenExecutive is still an executive adviser, not a legal chief executive. It cannot accept responsibility or sign documents on behalf of a company. A human must decide whether to act on its recommendations and remain accountable if those recommendations fail. That's where human leadership can't really be replaced. Analysis is part of the job, but it also involves making choices under uncertainty and accepting responsibility for the consequences. A model can recommend closing an office or cutting a team without feeling the weight of the people affected, while the humans deploying it may find the machine's apparent neutrality rather convenient. The project therefore reveals one of the stranger assumptions behind AI-driven layoffs. Companies often judge workers by how much of their output software can reproduce. Executives are more often judged on relationships and judgment. AI does not erase that distinction, but it makes the special exemption harder to defend. If a developer must prove that their work contains something beyond the code an AI can generate, senior leaders should be expected to prove that their value exceeds AI recommendations. A large salary should buy more than the ability to schedule another meeting about efficiency. Recent corporate experiments also suggest that replacing people can be easier to announce than to sustain. For instance, Duolingo's CEO softened an "AI-first" memo after backlash over plans to phase out contractors where automation could handle their work. Automation keeps happening, but there should be more questioning of its benefits. AI can help a small group start a company without immediately assembling a miniature court of consultants and executives. It can also give existing leaders a new justification for concentrating control while reducing the workforce beneath them. OpenExecutive will not make CEOs obsolete, at least today. Its recommendations require scrutiny and auditing. But it shows the rhetoric of AI efficiency goes both ways in corporations. Once leaders decide that every job should be broken into tasks and measured against a machine, their own work becomes fair material for the same experiment. The resulting AI CEO may never fire its human counterpart, but it has already made the performance review considerably more awkward. Follow TechRadar on Google News and add us as a preferred source to get our expert news, reviews, and opinion in your feeds.
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Developers fired during an AI Transformation built OpenExecutive, an open-source system designed to perform CEO and executive work. The tool features a virtual board of AI agents handling strategy, operations, and communications. Built on Anthropic's Claude models under Apache 2.0 license, it turns corporate automation logic upward toward leadership.
A group of laid-off developers has created OpenExecutive, an AI model to replace CEOs and other executives, directly challenging the corporate logic that cost them their jobs
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. These developers lost their positions during what their employer termed an AI Transformation, prompting them to build an open-source AI tool for executive decision-making that applies the same efficiency arguments leadership has used to justify workforce reductions2
. The project demonstrates that if companies can divide software development into tasks for AI models, the same approach applies to executive work involving information processing, scenario preparation, and document production.
Source: PC Magazine
OpenExecutive presents as a singular AI CEO interface but operates through a virtual board of AI agents representing eight specialist roles
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. The system includes emulated positions for chief strategy officer, chief financial officer, human resources officer, chief operating officer, marketing chief, product officer, general counsel, and board communications director2
. Each agent can access company documents and data, maintain decision history, and trace reasoning for organizational decision-making transparency1
. The developers pitch it as a C-suite group chat where every executive responds immediately, addressing what they identify as the real bottleneck to productivity: leadership that can't scale with around-the-clock work demands2
.The tool leverages Anthropic's Claude models, using Claude Sonnet 4.6 by default and Opus 4.7 for deeper reasoning tasks requiring more sophisticated analysis
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. OpenExecutive is distributed under the Apache 2.0 license, meaning anyone can inspect, modify, run it internally, or develop commercial products based on it1
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. This open-source AI tool structure gives the project substantial weight beyond typical commercial chatbots marketed as digital executives. The permissive licensing allows workers to experiment with the same automation logic their employers have applied to them, turning the efficiency telescope around to examine executive labor2
.Related Stories
While OpenExecutive functions as both product and satirical response to AI-driven corporate restructuring, it offers legitimate uses for smaller businesses seeking organizational expertise for growth strategies
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. The tool could help workers anticipate leadership plans and position themselves favorably with management1
. However, the project highlights critical limitations: OpenExecutive remains an advisory tool that cannot sign documents, hold legal weight, or truly replace executives who must accept human accountability for decisions1
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. A human must decide whether to act on recommendations and remain accountable when those recommendations fail, revealing that leadership involves making choices under uncertainty and accepting responsibility for consequences affecting real people2
.The project exposes contradictions in how companies judge workers versus executives during automation waves. Organizations typically evaluate workers by how much software can reproduce their output, while executives are judged on relationships and judgment
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. OpenExecutive makes this special exemption harder to defend: if developers must prove their value exceeds AI-generated code, senior leaders should demonstrate their worth surpasses AI recommendations2
. Recent corporate experiments suggest replacing people proves easier to announce than sustain, as seen when Duolingo's CEO softened an AI-first memo after backlash over plans to phase out contractors where automation could handle their work2
. Watch for increased scrutiny of automation benefits as workers and the public question whether AI concentrates control among leaders while reducing workforces beneath them, or genuinely improves organizational efficiency across all levels2
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