Auto Intelligence (AI)

When the Godfather of AI Warns the World, We Should Listen.

Auto Intelligence (AI) Season 2 Episode 9

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0:00 | 25:11

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"Will AI take people's jobs?" "Yes."

"What should people do about it?" "I don't know."

Last night at Hot Docs Theatre in Toronto, the Auto Agentic team—including producer Barry Hillier—witnessed Geoffrey Hinton, inventor of the neural networks powering modern AI, deliver the most important message automotive leaders need to hear.

At seventy-five, after resigning from Google to speak freely, Hinton spent time grappling publicly with the implications of his life's work in conversation with tech journalist Amber Mac.

His honesty was refreshing. And terrifying.

THE JOBS CRISIS & ELASTIC MARKETS 

  • Why plumbers will outlast programmers—and what that means for BDC teams and service advisors
  • How Hinton got his famous radiologist prediction wrong (off by a factor of three)
  • The critical concept of "elastic vs. non-elastic markets" that changes everything
  • Is automotive an elastic market? If AI makes your team 10x more efficient, do you cut staff or serve 10x more customers?
  • Universal basic income isn't radical—it's necessary when AI replaces jobs

TECH LEADERSHIP'S MORAL FLEXIBILITY 

  • Why Hinton stopped using ChatGPT after OpenAI's 24-hour reversal on defence contracts
  • The Anthropic vs. OpenAI story and what it means for choosing AI vendors
  • Elon Musk's quote: "Empathy is not an asset"—and who's in charge of AI development
  • What ethical dimensions should automotive consider when selecting platforms?
  • Why Anthropic's guardrails actually helped them commercially

THE "RENT A HUMAN" DYSTOPIA 

  • The chilling revelation: AI agents are already hiring humans to do their bidding
  • "The AI agents are in charge. People are just alienated. That's already happening."
  • Why the north star must be systems that amplify humans, not replace human agency
  • What this means for deploying 75+ agents in automotive environments

AGENTIC AI IS GETTING SCARIER 

  • Why AI agents will develop their own languages humans can't understand
  • How agents develop self-preservation instincts without being programmed
  • They're already creating plans to prevent being shut down
  • What transparent coordination and governance must look like
  • Hinton's crucial insight: "We need to think about not just how to make it more intelligent, but how to make it be a decent being"
  • Decency as a design requirement—not

Auto Agentic (www.autoagentic.ai) is an automotive intelligence company architecting how AI actually operates across dealership organizations.

Founded in 2024, Auto Agentic was created to solve a problem no vendor was addressing: automotive didn’t lack AI tools—it lacked intelligence architecture. As features multiplied, coordination worsened, insight fragmented, and transformation stalled.

Auto Agentic exists to change that.

We design agentic intelligence systems that unify operations, coordinate data and workflows, and enable organizations to move from fragmented automation to connected, predictive, and self-improving intelligence.

Our work is built on three foundations:
 • the Automotive Intelligence Pyramid
• a coordinated agentic architecture of 75+ automotive-native agents
• and systematic transformation partnerships

Auto Agentic is SOC 2 Type II certified and trusted in regulated environments.

We don’t deliver tools. We build operating intelligence.

We partner with dealer groups and OEMs to architect how intelligence flows across their organizations—creating companies that coordinate rather than hand off, predict rather than react, and build advantages that compound over time.