*The Department of Government Efficiency is gone, quietly wound down after a year that produced more controversy than confirmed savings. Two of its former staffers have decided the idea was sound and the venue was wrong. *
On Tuesday they unveiled Special, a firm that intends to buy companies outright and cut their costs by running artificial intelligence through them, taking the DOGE playbook into the private sector where the spreadsheet, at least, is real.
The backers are the story. Special raised from a roster of Elon Musk allies, according to Bloomberg, including Valor Equity Partners founder Antonio Gracias, former xAI chief financial officer Anthony Armstrong and Steve Davis, who served as Musk’s de facto second-in-command at DOGE.
Andreessen Horowitz led an investment of undisclosed size. It is, in effect, the DOGE network reconstituting itself around a commercial vehicle.
The model is private equity with an AI thesis bolted on. Rather than advising companies or selling them software, Special plans to acquire them and apply automation to strip out cost, betting that the same approach DOGE aimed at federal agencies works better when the buyer controls the business and answers to investors rather than voters. The logic is clean on a slide: buy a company, automate its overhead, keep the margin.
Whether it works in practice is the open question, and DOGE itself is the cautionary tale its founders are implicitly arguing against. The government effort claimed $160bn in savings, but one analysis found its cuts had cost taxpayers around $135bn once disruption, rehiring and lost productivity were counted.
Critics argued the exercise destroyed institutional capacity faster than it removed waste. Special’s pitch is that the private sector is different: a company is a cleaner system than a government, its costs easier to identify and remove, its incentives aligned with the buyer’s.
There is a respectable version of the thesis. Plenty of mature businesses carry genuine inefficiency, and AI tools have improved to the point where automating back-office and operational work is a real source of savings rather than a consultant’s fantasy. Private-equity firms have pursued operational improvement for decades; adding capable automation to that toolkit is a reasonable bet rather than a wild one.
The less comfortable version is the one DOGE made vivid. Cost-cutting framed as efficiency can shade into capacity-cutting that looks good on a quarterly basis and costs more later, and AI-driven layoffs concentrate the human price of the strategy on the people automated out. A private-equity vehicle is structurally inclined toward the version that shows up fastest in the numbers, and the firm’s lineage gives critics an obvious frame.
The branding does not soften it. Naming the company Special, and staffing it with veterans of a government programme widely read as having overpromised, invites exactly the scrutiny the founders might prefer to avoid.
The a16z imprimatur and the Musk-circle money buy credibility in Silicon Valley; outside it, the DOGE association is a liability as much as a credential.
For now, Special is a thesis with funding and a network, not a track record. It has the capital to start buying and the names to open doors. What it does not yet have is a single company it has actually made more efficient without making it worse. That is the test DOGE failed in public. Special is betting the private sector grades more kindly.
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