The Data Exchange with Ben Lorica Beyond the Agent Hype
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Sep 27, 2025 
Evangelos Simoudis, a venture investor and AI strategy expert, dives into the disconnect between the hype surrounding AI agents and their actual enterprise application. He highlights critical issues like the reliance on shadow agents, the necessary foundations for effective AI, and the importance of clean data. Topics include the challenges faced in pilot programs and the need for reliable AI solutions. They also discuss the potential negative impact of new H-1B visa policies on tech startups, advocating for a balanced approach to immigration reform.
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Agent Hype Outpaces Enterprise Reality
- Agents are being hyped beyond current enterprise readiness, creating a delta between vendor claims and corporate adoption.
- Evangelos warns this narrative risk could produce regret if costs, training, and security aren't addressed.
Prepare Foundational Data Layers First
- Improve unstructured search and deploy a semantic layer before relying on general-purpose agents.
- Ben says these foundational substrates give models the context they need to perform reliably.
Decide Between Apps And Agents Deliberately
- Audit data quality and redesign workflows to decide between apps and autonomous agents.
- Evangelos urges firms to choose single vs multi-agent designs based on workflow needs.