AI is everywhere in automotive—but separating what actually works from what sounds good has never been harder.

In this episode of Qore Conversations, Todd Smith, CEO of QoreAI, shares a grounded, experience-driven perspective on how dealers should really think about AI today. Instead of “plug-and-play” promises, this conversation focuses on outcomes, fundamentals, and the realities of implementation inside a dealership.

Todd explains why AI should be treated more like a new hire than a software tool, why fragmented and decaying data quietly erodes profitability, and why data ownership is quickly becoming one of the most important strategic issues for dealers.

The discussion also explores the rising risk of AI-driven fraud, including voice cloning, synthetic identities, and document manipulation—and why trust remains the one thing AI cannot replicate.

This episode is designed for dealers and automotive leaders who want clarity, not buzzwords.

In this episode, you’ll hear:

• Why AI is not plug-and-play—and what realistic expectations look like
• How treating AI like an “intern” leads to better long-term results
• The hidden cost of dirty, outdated, and fragmented dealer data
• What true data ownership and data sovereignty mean in automotive
• How AI-powered fraud is already impacting dealerships
• Why trust, context, and clean data matter more than tools
• What dealers should focus on before investing in more AI

Key Takeaway:  AI accelerates whatever you put into it. Without clean, well-owned data and clear intent, it won’t produce meaningful results.

If this episode was valuable, follow Qore Conversations and share it with someone who wants real insight into the future of automotive AI.

Learn more about QoreAI:

• Website: www.qoreai.com
• AI & Automotive Whitepaper: www.ToddSmith.ai
• Connect with Todd on LinkedIn: www.LinkedIn.com/in/toddlearsmith/

Follow QoreAi:

www.LinkedIn.com/company/qoreai/

www.Facebook.com/Qoreai

www.x.com/qoreai

Podcast Directed and Produced by: www.hiredgunsagency.com