Artificial Intelligence
How Governments Are Buying AI Now: Opportunities, Risks, and Leverage
Led by: Nishant Shah & Kaye Sklar
Governments are adopting AI through enterprise licenses, pilots, embedded features in existing platforms, and heavily subsidized “government offers.” This opening session maps how AI is actually entering public institutions today—and what that means for control, risk, and long-term flexibility. Participants will examine patterns such as deep discounting, centralized purchasing, closed ecosystems, and “shadow AI,” and explore how these dynamics can either lock governments into proprietary platforms or create leverage to demand something better. The session sets the stage for the series by framing procurement and architecture choices as the key battleground for public AI.
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Understand the main ways AI is currently acquired and used in government (enterprise deals, off-the-shelf tools, pilots, embedded features, “shadow AI”).
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Recognize the risks of vendor lock-in, loss-leader pricing, and non-portable agents, memory, and workflows.
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Identify where governments have real leverage (procurement, standards, governance) to shape AI markets rather than simply absorb them.
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Articulate why today’s purchasing decisions will shape government AI infrastructure for the next decade.
This workshop is part of an InnovateUS Series called : Practical Strategies for Buying and Building Public AI
Click here to view all workshops from this seriesModerated By
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