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Scott Kupor, Director of the U.S. Office of Personnel Management and former partner at Andreessen Horowitz, discusses his ambitious initiative to modernize federal government technology and hiring practices. The conversation explores the newly launched U.S. TechForce program, which aims to recruit 1,000 engineers for two-year stints to address critical tech talent shortages and modernize government infrastructure. (09:00) Kupor outlines the challenges facing government recruitment, including outdated hiring processes that relied on self-attestation rather than merit-based testing, compensation gaps with private sector, and a risk-averse culture that stifles innovation. (24:09) He emphasizes shifting from a "lifetime employment" narrative to one focused on tackling complex problems while maintaining career flexibility.
Scott Kupor serves as Director of the U.S. Office of Personnel Management, responsible for talent management across the 2.1 million federal workforce. He previously spent 16 years at the venture capital firm Andreessen Horowitz, working as a founding partner alongside Ben Horowitz and Marc Andreessen. Kupor brings extensive experience in technology recruiting, organizational culture, and performance management from the private sector to his current role modernizing federal government operations.
Joe Weisenthal is co-host of the Odd Lots podcast and a Bloomberg editor covering markets, economics, and finance. He brings expertise in financial markets and economic policy to discussions about government efficiency and public sector challenges.
Tracy Alloway is co-host of the Odd Lots podcast and a Bloomberg reporter covering markets and economics. She contributes insights on institutional economics and organizational behavior, particularly as they relate to large bureaucratic structures.
The federal government historically relied on self-attestation for technical skills rather than actual competency testing due to a 1981 consent decree that banned civil service examinations. (23:05) Kupor explains that until four months ago, applicants could simply check boxes claiming expertise in programming languages or AI technology without demonstrating actual skills. The administration recently eliminated this consent decree, allowing agencies to implement coding tests and technical assessments similar to private sector hiring practices. This represents a fundamental shift toward evaluating actual merit rather than credentials or tenure, enabling the government to identify and hire top technical talent regardless of formal education requirements.
Traditional government performance reviews suffer from grade inflation, with 80% of federal workers receiving ratings of 4 or 5 out of 5, while only 0.2% receive below-expectation ratings. (25:54) Kupor has implemented forced distribution requirements for senior executives, capping high performers at 30% while ensuring 60% of bonus compensation goes to this top tier. This approach mirrors private sector practices where managers conduct regular one-on-one meetings and provide ongoing feedback rather than annual reviews. The change aims to differentiate top performers, hold underperformers accountable, and create meaningful incentives tied to actual contribution.
The U.S. TechForce program recruits 1,000 engineers for two-year government stints, partnering with 25 major tech companies to ensure seamless transitions back to private sector. (09:29) This structure addresses the early-career pipeline problem where only 7% of federal workers have less than seven years experience compared to 22-23% in private sector. Rather than demanding 40-year commitments, the program exposes young talent to government challenges while maintaining career flexibility. Companies facilitate job fairs for returning participants, creating a continuous exchange of talent and ideas between sectors while building long-term relationships.
Government culture prioritizes compliance over innovation due to fear of inspector general reports, GAO audits, and congressional inquiries, creating a "zero risk" environment that stifles technological advancement. (16:24) Kupor advocates for "measured risk" where organizations evaluate potential upside against downside rather than avoiding all risk. He provides a concrete example with retirement processing, where implementing interim payments could reduce wait times from 90-120 days to 0-7 days, with worst-case financial risk of a few million dollars against a $1.2 trillion trust fund. This cultural transformation requires leaders willing to defend rational risk-taking that improves citizen services.
Rather than pursuing transformational AI strategies, Kupor emphasizes practical applications that improve existing processes by 3-10%. (59:03) He cites the example of processing 40,000 public comments on regulations, traditionally assigned individually to staff members for manual review and response. AI tools can assist with summarization and analysis, freeing human capacity for higher-value work. The government recently gained access to ChatGPT and other AI platforms on work devices, representing early stages of automation adoption. This incremental approach acknowledges that government cannot be as experimental as private sector while still driving meaningful efficiency improvements.