Three Takes The 2025 Year-End Wrap Up

Three Takes on AI: The 2025 Wrap Up

In this year-end episode, Brian, Campbell, and Mike look past the hype to analyze the real-world state of AI as we enter 2026. Rather than just discussing model updates, the trio explores the friction between innovation, regulation, and career longevity.

Three Unique Perspectives:

• Brian Silverman on "Enterprise Memory" & Hardware: Brian highlights 2025 as the year AI found its memory, allowing it to track complex projects over time. He also points to IBM as an underestimated leader, noting their new Telem2 processor and Spire hardware designed to handle heavy AI inference more accurately than the current market recognizes.

  
  

• Campbell Robertson on Regulation & Standards: Campbell draws a unique parallel between AI and Formula 1, arguing that high regulation and standardization actually foster better competition and innovation. He expresses concern that U.S. deregulation may lead to "broken things" and emphasizes the importance of the new Model Context Protocol (MCP) in standardizing agentic AI.

  
  

• Mike M. on the "AI Toolbox" & Job Readiness: Mike offers a sobering "boots-on-the-ground" view, warning that 2026 will bring significant job displacement, particularly in sales. His unique stance is that workers must move beyond ChatGPT and master a diverse multi-tool kit—including Perplexity and DeepSeek—to remain indispensable as AI becomes embedded in core business systems.

  
  

The Bottom Line: As models hit a performance ceiling, the winners of 2026 will be those who master orchestration, navigate global regulations, and proactively adapt their skill sets