NewsAI

DOGE AI Tool Mistake Cancels 585 Vital Veteran Affairs Contracts

DOGE AI Tool Mistake Cancels 585 Vital Veteran Affairs Contracts
DOGE AI Tool Mistake Cancels 585 Vital Veteran Affairs Contracts

Key Points

  • DOGE AI Tool Mistake Cancels 585 Vital Veteran Affairs Contracts
  • Flawed AI used by DOGE read only first 10,000 characters of contracts
  • 585 VA contracts worth $900 million were canceled due to AI errors
  • Critical terms like “core medical” and “DEI” were undefined in code
  • AI hallucinated contract amounts and misunderstood key priorities

The Department of Government Efficiency (DOGE) is under fire after using a flawed AI tool that mistakenly flagged hundreds of Veterans Affairs (VA) contracts for cancellation.

In just 30 days, DOGE engineers built an AI system to comply with President Donald Trumpโ€™s executive order aimed at eliminating unnecessary government spending. But this rush led to serious problems.

Engineer Sahil Lavingia designed the tool to “munch”โ€”or cancelโ€”contracts not seen as directly supporting patient care. However, the AI was only set to read the first 10,000 characters of each contract, missing crucial details buried deeper in the documents.

Experts say the AI also suffered from poorly defined instructions. It was told to eliminate diversity, equity, and inclusion (DEI) programs but was not given a clear definition of what DEI meant. Similarly, it was asked to assess if pricing was “reasonable,” without any benchmark for reasonableness.

To make matters worse, the AI was built on an older general-purpose model not designed for complex government procurement tasks. This led the system to “hallucinate,” inventing incorrect contract amounts and misinterpreting their importanceโ€”an issue not uncommon in some AI models, as seen in OpenAIโ€™s recent efforts to improve AI reliability through its deep research AI agent.

Despite these flaws, the tool flagged hundreds of contracts. Initially, the VA announced the cancellation of 875 contracts. But after pushback from veteran advocates and internal reviews, that number was revised to 585 non-critical or duplicate contracts, saving about $900 million.

Experts slam DOGE AI tool for lack of sophistication and oversight

DOGEโ€™s reliance on a rushed AI solution has sparked widespread concern. According to Cary Coglianese, a University of Pennsylvania professor specializing in government AI use, determining which VA services could be handled internally requires “sophisticated understanding of medical care, institutional management, and human resources.” None of these elements were factored into the tool.

The code reviewed by ProPublica revealed more troubling signs. It contained vague terms like “core medical/benefits,” which the AI couldnโ€™t meaningfully interpret. The model also failed to differentiate between contracts essential for safety inspections, veteran communications, and doctor recruitmentโ€”key functions necessary for veteran care.

A Department of Government Efficiency employee created a rushed AI tool to help uncover โ€˜waste, fraud, and abuseโ€™ (Getty)

A Department of Government Efficiency employee created a rushed AI tool to help uncover โ€˜waste, fraud, and abuseโ€™ (Getty)

Further complicating the situation, many of the engineers working on the AI project were recruited from outside government circles. Lacking institutional knowledge, they were ill-equipped to understand the nuances of VA operations.

Interestingly, this is not an isolated case of AI being used prematurely in sensitive domains. Similar concerns were raised when Googleโ€™s Gemini updates showcased revolutionary AI capabilities that still required significant oversight and refinement.

One source told Federal News Network that the resulting contract cuts reflected a “communication breakdown” between DOGE advisors, VA leadership, and lawmakers overseeing the agency.

Lavingia admitted that the AI had limitations and that “mistakes were made.” He also insisted that all flagged contracts underwent additional human review before cancellation. However, critics argue this vetting process was inadequate given the AIโ€™s serious flaws.

Musk hired engineers outside of the government to assist in finding โ€˜waste fraud and abuseโ€™ in the government โ€“ as a result, many do not possess necessary institutional knowledge (AP)

Musk hired engineers outside of the government to assist in finding โ€˜waste fraud and abuseโ€™ in the government โ€“ as a result, many do not possess necessary institutional knowledge (AP)

Veteran advocates sound the alarm over essential services lost

Veterans’ groups quickly raised red flags after the initial cancellation announcement. Many of the 875 contracts included programs that ensured safe and effective medical facility operations and maintained critical communications between the VA and veterans.

Among the contracts initially flagged were those related to building safety inspections, communications about veteransโ€™ benefits, and recruiting new doctorsโ€”functions vital to the VAโ€™s mission.

After hearing concerns from advocacy groups and internal VA teams, the department walked back its cuts, revising the cancellation list to 585 contracts and stressing that only “non-mission-critical or duplicative” agreements were affected.

Still, veteran advocates remain wary. Many argue that such rushed AI-driven decisions could erode trust in the system designed to care for those who served the country. They point to broader concerns in the AI space, as even AI leaders like OpenAI CEO Sam Altman acknowledge that AI can behave in unexpected waysโ€”often costing millions in errors and unintended consequences.

With ongoing advances like the Gemini 2.5 Pro update pushing AI boundaries, experts stress the need for robust human oversight before relying on such tools in critical government functions.

What's your reaction?

Excited
0
Happy
0
In Love
0
Not Sure
0
Silly
0
Aishwarya Patole
Aishwarya is an experienced AI and tech content specialist with 5+ years of experience in turning intricate tech concepts into engaging, relatable stories. With expertise in AI applications, blockchain, and SaaS, she creates data-driven articles, explainer pieces, and trend reports that drive impact.

You may also like

More in:News

Leave a reply

Your email address will not be published. Required fields are marked *