Matt Fanslow discusses his concerns about relying too heavily on databases and artificial intelligence in automotive diagnostics. He emphasizes the potential long-term repercussions of this reliance on critical thinking skills and reasoning. He also brings up the issue of flat rate pay and how it can affect diagnostic work. He also mentions the challenges when a database lacks information on newer cars or technologies. This episode is a reminder of the importance of maintaining a balance between utilizing technology and preserving our critical thinking skills in the automotive industry.

• The dangers of relying on databases and artificial intelligence (00:00:12) Matt discusses his concerns about relying too heavily on databases and artificial intelligence in automotive diagnostics and the potential long-term repercussions of this reliance on critical thinking skills and reasoning.
• Issues with flat rate pay and diagnostic work (00:01:22) Matt talks about the flaws of flat rate pay and how it can affect diagnostic work.
• The example of misdiagnosing a Chrysler vehicle issue (00:05:19) Matt gives an example of a Chrysler vehicle issue, highlighting the importance of developing diagnostic skills instead of solely relying on databases.
• The Potential Repercussions of Database Reliance (00:09:54) The potential long-term repercussions of relying on databases and not developing diagnostic skills.
• The Limitations of Databases and Artificial Intelligence (00:10:54) The limitations of databases and artificial intelligence, using the analogy of people getting lost without GPS.
• The importance of balancing short-term gains and long-term losses (00:20:17) Matt emphasizes the need to consider the long-term consequences of relying on databases and technology and suggests taking short-term hits for long-term wins.

Thanks to our Partner, NAPA AUTOTECH napaautotech.com

Email Matt: mattfanslowpodcast@gmail.com

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