"You don't regret that people might have lost important income...to support their lives? No. I think it was more important to reduce the federal deficit from $2 trillion to close to zero. Did you reduce the federal deficit? No, we didn't."
"In a deposition video from January, which recently went viral, DOGE employee Nate Cavanaugh said cost-cutting efforts fell far short of its original $2 trillion goal. The deposition was part of a larger lawsuit filed by the American Council of Learned Societies, a nonprofit consortium of scholarly institutions, alleging DOGE used OpenAI's ChatGPT to identify and then cancel more than $100 million in diversity, equity, and inclusion grants."
"In its early days, the Elon Musk-led Department of Government Efficiency (DOGE) bragged it could cut up to $2 trillion from the U.S. federal budget. In December, Musk conceded the special advisory only saved $200 billion in zombie payments for cancelled contracts or fraudulent unemployment claims."
The Department of Government Efficiency, led by Elon Musk, initially claimed it could cut $2 trillion from the federal budget. By December, this was reduced to $200 billion in savings from cancelled contracts and fraudulent unemployment claims. A recent analysis showed these savings had minimal to no impact on the deficit. In a deposition video from January, DOGE employee Nate Cavanaugh acknowledged the cost-cutting efforts fell far short of the original goal. When questioned about whether DOGE reduced the federal deficit, Cavanaugh admitted it did not. The deposition was part of a lawsuit filed by the American Council of Learned Societies, alleging DOGE used ChatGPT to cancel over $100 million in diversity, equity, and inclusion grants.
#government-efficiency #federal-budget-cuts #doge-performance #deficit-reduction #grant-cancellations
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