
The Data Exchange with Ben Lorica Is AI a Utility? Defining Usability and Public Trust
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Dec 13, 2025 Evangelos Simoudis, a venture investor and corporate innovation expert at Synapse Partners, joins to discuss the dual-edged sword of AI in the workforce. They examine AI-driven layoffs, emphasizing the importance of investment in upskilling and R&D. The conversation highlights how trust in AI outputs can be fragile due to unpredictable behaviors and the need for better government coordination on AI access. They also delve into legal complexities surrounding platform liability as AI systems take on more editorial roles in content creation.
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Trust In Output Lags
- Trust in output is a central deficiency preventing AI from being a utility.
- Unlike uptime, users worry about model data provenance, vetting, and unanticipated behaviors.
Policy Sits On A Spectrum
- Countries adopt different stances: UAE/China hands-on, U.S. market-driven, Europe in-between.
- Choosing where the U.S. sits on that spectrum determines national policy and investment in AI as public infrastructure.
Pursue A Federal Framework
- Establish a federal umbrella of rules if AI is treated as essential national infrastructure.
- Aim to provide access for all citizens and small businesses, not just wealthy corporations.
