AI Race Heats Up: Internal Models and Geopolitics Reshape GTM Strategies

Nov 10, 2026 · The Artificial Intelligence Show
🎧 PodShort 56 min squeezed to 2 AI SprinklerAS Sales Tech New
Episode artwork
Paul Raytzer
Founder and CEO at SmarterX
Mike Caput
Chief Content Officer at SmarterX
The Artificial Intelligence Show
56 min squeezed to 2
Full episode from The Artificial Intelligence Show
Quotable Moments

Everything looks different to me right now. Every business, every person, every career path, it just looks fundamentally different.

Paul RaytzerFounder and CEO at SmarterX
00:00

The boom has flooded many rural communities with investments and property tax revenue. Data centers have been the primary driver of construction spending growth.

Chief Economist at Associated Builders and ContractorsChief Economist at Associated Builders and Contractors
08:55

I think it's very possible right now that we're like, hesitant to even start talking about it publicly. But then it started to feel to me like, you know, the AI labs, they're just always watching what the next thing is that they can build.

Paul RaytzerFounder and CEO at SmarterX
29:25
Key Insights
  • The rapid advancement and integration of AI are fundamentally changing business and career landscapes, making future planning difficult.
  • The current AI boom is characterized by aggressive development and deployment, outpacing even the most optimistic predictions from a year ago.
  • Recent US midterm election results show a significant public sentiment against unrestricted data center expansion, with voters favoring limits and regulatory pauses.
  • The AI race is now deeply intertwined with geopolitics, as evidenced by the US government's scrutiny of companies like Nvidia and potential bans on AI exports.
  • Companies are moving towards internal development of AI models rather than relying solely on external ones like GPT-4, leading to cost reductions and optimized solutions.
  • The proposed changes to AI in education aim to shift focus from knowledge memorization to practical skills like problem-solving, critical thinking, and effective AI tool utilization.
  • Nvidia's CEO, Jensen Huang, is reportedly facing scrutiny and investigations due to his alleged connections and potential conflicts of interest involving Chinese entities and AI chip exports.
  • The cost of accessing and utilizing powerful AI models is becoming a significant factor, potentially leading companies to develop more efficient, smaller models.
Metrics Mentioned
  • $40 billion in AI spending by enterprises in 2023 (Mentioned as a benchmark for AI adoption.)
  • 250 episodes of the podcast (Celebrated milestone for the show.)
  • 25,000 downloads for the first 18 episodes (Early podcast growth metric.)
  • 262,000 downloads across 50 episodes in 2023 (Significant growth in podcast listenership.)
  • 400,000 downloads across 51 episodes in 2024 (Continued growth trajectory.)
  • $4 billion in AI spending for 2024 (projected) (Growth projection for AI spending.)
  • 76% of AI spending comes from new budgets (Indicates AI investment is often additive rather than replacing existing budgets.)
  • 2.3x growth in AI spending by enterprises (Year-over-year growth for AI spending.)

RevBots.ai View:

  • AI Sprinkler stage teams are bolting on AI features without transforming workflows.
  • Internal AI model development hints at ARM maturity: cost control and orchestration.
  • Geopolitical AI scrutiny impacts ARM adoption: compliance and ethics become critical.
  • AI spending growth suggests ARM adoption will accelerate as budgets expand.
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