Oct 1, 2026 · 57 min
AI agents move from chat windows into company workflows
Ep 873: The Next 12 months of AI: 19 Predictions Every Business Leader Needs to Hear (Replay)
The episode frames the next year of AI as a shift toward autonomous systems, while exposing mounting risks in infrastructure, security, and public trust.
- 1AI products are moving beyond reactive chatbots toward proactive, voice-enabled agents that can act across workflows.
- 2Businesses will increasingly rely on agent-native processes, shared reasoning data, private evaluations, and routing between models.
- 3The expansion of AI brings sharper concerns about compute constraints, deepfakes, cybersecurity, backlash, and recursive self-improvement.
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The episode’s defining moment is its pivot from agent enthusiasm to the risks of compute limits, deepfakes, cybersecurity, backlash, and recursive self-improvement.
The brief
Jordan Wilson uses 19 predictions to map how AI could change over the next 12 months, drawing on model releases, product updates, research, and conversations with AI leaders.
The central shift is from reactive chatbots to proactive, voice-enabled agents that can execute work, making agent-native workflows a business design problem rather than a software feature.
The forecast also points to shared company reasoning data, private evaluations, and model routing as organizations build systems around multiple AI models instead of one default assistant.
Products including ChatGPT, Codex, Claude Code, Claude Cowork, Grok, and GrokBot illustrate the widening range of assistants and agents competing to handle real work.
The optimism is paired with harder questions about compute, deepfakes, cybersecurity, AI backlash, and whether recursive self-improvement could accelerate beyond institutional control.