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Capability Layers, Not Technology Replacements0m 19s
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Capability Layers, Not Technology Replacements

Think in layers, not fads: stack generative, agentic, and spatial AI capabilities to compound value over time.

Sep 29, 2025 0m 19s

Steve Brown

Expert Insights

Steve Brown emphasizes that AI technologies are seen as layers of capability additions rather than technology displacements. He stresses that advancements aren't about one technology rendering another obsolete but rather, newer technologies layering atop existing ones to provide increased capabilities and applications over time.

Listen to Steve elaborate:

  • His understanding of AI development as layered capabilities rather than replacing older technology.
  • How AI types like generative, agent, and spatial can seamlessly integrate with existing technologies for improved applications.
  • The implications of this perspective and how it builds an evolutionary rather than a disruptive narrative of AI in software development.

It's not like a technology's gonna come in and make another one obsolete. So when you've got generative AI, you have agent AI that layers over the top of it... then you have spatial AI that I can use in some applications alongside agent AI. So they're just new capabilities that layer in over time.
— Steve Brown, AI Futurist & fmr exec @ Google DeepMind & Intel

THE NEW DEFAULT angle

Consider the following step-by-step integration approach:

  • Embrace the layered nature of AI: Understand that the value of AI comes from additional capabilities it provides in an overlay fashion rather than displacing existing technologies.
  • Evaluate your current systems: Look at what technologies you currently utilize and identify areas where AI can add another layer of function or improve efficiency.
  • Choose the right AI technologies: Based on your evaluation, determine the types of AI (generative, agent, spatial, etc.) that can offer the most beneficial capabilities for your specific applications.
  • Incrementally incorporate AI: Instead of undergoing a significant overhaul, introduce AI in digestible increments, successively building its usage and capabilities over time as you become more conversant with its functionalities.