Artificial intelligence, long cast by the left as a threat to be regulated into submission, is emerging in conservative hands as a powerful instrument to expose waste, fraud, and abuse in the federal bureaucracy and to protect taxpayers from the kind of mass theft that plagued pandemic-era programs.
In his new book, set for release tomorrow, author Wynton Hall argues that AI can dramatically strengthen human efforts to uncover large-scale fraud schemes, including the notorious Minnesota case in which federal funds were siphoned off through state-run programs, costing taxpayers untold millions. According to Breitbart, Hall contends that conservatives now have at their disposal a technological force multiplier capable of turning long-standing rhetoric about limited government into measurable, data-driven reform. Rather than accepting bureaucratic bloat and mismanagement as inevitable, he urges the right to seize AI as a transformational cost-cutting weapon that can modernize government operations while preserving core American values.
AI is uniquely suited to help uncover waste, detect fraud, and pinpoint abuse within the federal bureaucracy precisely because it excels at analyzing massive datasets, performing trillions of calculations in seconds, and recognizing complex patterns, Hall writes. Put simply, for the first time in a long time, conservatives can do more than just talk about limited government; they can use a transformational cost- cutting weapon to modernize and enhance government efficiency. But where to start?
Hall points to recent conservative-led initiatives as a blueprint for how AI can be deployed to defend taxpayers rather than empower unelected bureaucrats. He highlights the efforts of former DOGE leader Elon Musk, who assembled a nerd squadron of young tech prodigies and veteran engineers to dig through the federal governments trove of data in what Hall describes as potentially the most audacious conservative cost-cutting initiative ever attempted.
Among those innovators is Thomas Shedd, a former Tesla engineer who took charge of the General Services Administrations (GSA) Technology Transformation Services (TTS), a unit that includes hundreds of technologists tasked with dragging federal systems into the 21st century. Under DOGEs leadership, TTS pursued an AI-first strategy, including the creation of AI coding agents made available across federal agencies, designed to read complex government contract datasets, automate tedious workflows, and flag suspicious or wasteful spending patterns that human auditors might miss.
Hall reports that the department is planning a massive, secure database capable of running sophisticated procurement analyses to identify overlapping, redundant, and potentially fraudulent expenditures. Another [project] Im trying to work on is a centralized place for contracts so we can run analysis on them, said Shedd. This is not new at all this is something thats been in motion before we started. The thing thats different is potentially building that whole system in- house and building it very quickly. This goes to this [idea], How do we understand how the government is spending money?
By building these systems internally, DOGE aims to ensure that AI tools comply with Office of Personnel Management (OPM) guidelines on data privacy and responsible AI use, rather than outsourcing sensitive functions to unaccountable third parties. The goal is not to expand the surveillance state, but to give honest officials the tools they need to track where every dollar goes and to shut down the fraud pipelines that have flourished under lax oversight.
The Breitbart News social media director also cites Dmitry Shevelenko, CEO of AI platform Perplexity, who argues that AI can streamline government by handling 80 percent of that initial work faster, where you get your target list, thereby freeing human analysts to focus on higher-level judgment and decision-making. In this vision, AI does not replace public servants but equips them to act more quickly and effectively against entrenched waste and criminal abuse of federal programs.
Abuse of federal aid became a national flashpoint when prosecutors charged individuals with defrauding programs administered through Minnesotas state Medicaid service, a scandal that underscored how easily federal dollars can be diverted when oversight fails. Many of those accused in the Minnesota fraud cases are members of the states Somali community, a politically sensitive fact that critics say too many media outlets and progressive officials have been reluctant to confront honestly.
In his book, Hall notes that the Government Accountability Office (GAO) estimates the federal government loses between roughly a quarter to half a billion dollars every year to fraud alone. He further points out that, since 2023, federal agencies have reported about $2.8 trillion in estimated improper payments, while the Small Business Administration (SBA) astonishingly approved $312 million in coronavirus-era loans for children under the age of 11.
In fairness, past governmental eff orts utilizing machine learning and data mining have produced results. Federal law enforcement has worked to combat fraud rings that have bilked taxpayers of billions of dollars, Hall contended. Yet he argues that these efforts have been piecemeal and underpowered, and that a more systematic, AI-driven approach could finally give conservatives the tools to rein in sprawling entitlement and welfare bureaucracies.
He continued: In December 2024, at the behest of the House Budget Committee, the nonpartisan Congressional Budget Office (CBO) released its first ever report on AI. Among the CBOs predictions were that AI could have the effect of increasing the efficiency of the government in collecting tax revenues and in distributing those revenues through transfer payments and that successful use of AI to reduce fraud could result in fewer improper payments in the largest mandatory spending programs: Medicare, Medicaid, and Social Security. 30 That would be no small victory. Over the last decade, improper Medicaid payments and errors are estimated to have been between $543 billion and $1.1 trillion.
Hall added in the book, Likewise, the Office of Personnel Management (OPM) says that generative AI has the potential to improve the way the federal workforce delivers results for the public, helping employees enhance creativity, efficiency, and productivity.' For conservatives who have long argued that Washington is bloated, inefficient, and too often captured by special interests, these official acknowledgments suggest that even the bureaucracy itself recognizes the need for technological reform.
Wynton Halls work ranges widely across AIs impact on elections, the economy, faith, and family, insisting that the technology is neither a terrible evil nor a utopian cure-all. Instead, he frames AI as a powerful tool that must be deliberately harnessed to reinforce American valuesprotecting children, families, and free expression while resisting the centralizing impulses of Big Tech and big government.
Senator Marsha Blackburn (R-TN), named one of the 100 Most Influential People in AI, praises Halls book as a must-read. She added: Few understand our conservative fight against Big Tech as Hall does, making him uniquely qualified to examine how we can best utilize AIs enormous potential, while ensuring it does not exploit kids, creators, and conservatives.
Award-winning investigative journalist and Public founder Michael Shellenberger calls the book illuminating, alarming, and describes it as an essential conversation-starter for those hoping to subvert Big Techs autocratic plans before its too late. For Hall and his supporters, the central question is not whether AI will reshape government and society, but whether conservatives will move quickly enough to guide that transformation toward transparency, accountability, and the defense of liberty rather than allowing progressive elites and Silicon Valley monopolies to dictate the terms.
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