We scan new podcasts and send you the top 5 insights daily.
AI can defeat financial obfuscation techniques, like using Swiss foundations as intermediaries. Even if a recipient's funding is hidden, AI can scan the public disclosures of potential donors, find matching transaction records, and successfully trace the money back to its source.
Beyond futuristic applications, AI is currently providing tangible value in medicine, commerce, and banking by tackling core operational challenges like identifying fraudulent claims, optimizing shipping routes, and preventing money laundering, thereby boosting efficiency and reducing financial risk.
A powerful, practical use of AI in investment research is to verify management's track record. By feeding all historical earnings call transcripts into a large language model, an analyst can quickly ask whether management's past promises and guidance materialized, automating a crucial but time-consuming due diligence step.
A novel business model for public accountability involves using AI to detect government fraud and then suing the perpetrators. The company operates on contingency, making money only when it recovers funds for the government and receives a 15-30% whistleblower bounty, creating a self-sustaining engine for fighting corruption.
The convergence of AI and crypto goes far beyond machine-to-machine payments. Haun Ventures is investing in the use of cryptographic tools to solve emerging AI challenges. This includes using blockchains to verify the provenance of AI-generated content and leveraging zero-knowledge proofs to protect user privacy from powerful AI analysis.
AI can be a powerful fraud detection tool by comparing a company's public statements against alternative data. For example, it can analyze satellite imagery of shipping traffic or factory activity and flag discrepancies with management's guidance.
Despite being fierce competitors, major AI labs work together behind the scenes. They share intelligence on suspicious API usage from shell companies to identify and thwart large-scale, coordinated distillation attacks from foreign adversaries, which might otherwise go undetected by a single lab.
The 1863 False Claims Act created a financial incentive to report fraud, but its impact was limited by the difficulty of detection. Modern AI solves this information processing bottleneck, finally allowing companies to act on the law's incentive at a massive scale.
California's CalMatters uses an AI called 'Tip Sheet' to analyze public records of politicians, including speeches, votes, and campaign contributions. The AI flags anomalies and potential stories, which it then provides exclusively to human journalists to investigate, creating a powerful human-AI partnership.
AI tools are highly effective at detecting revenue leakage in companies with complex transaction volumes or billing models. They can audit for missed payments, incorrect billing (like Medicare reimbursements), or pursue long-tail accounts receivable, uncovering significant hidden value.
Since AI-powered fraud operates as a systemic, industrialized process, defensive measures must also be systemic. Rather than responding to individual scams, efforts should focus on dismantling the underlying infrastructure—from data centers and payment gateways to the deepfake services themselves.