Everyday AI Podcast – An AI and ChatGPT Podcast AI in 2026: 7 reasons why the pace of AI this year will far exceed 2025.
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Jan 6, 2026 In a lively discussion, the hosts dive into the transformative role of reasoning models in AI. They explore agentic scaffolding, allowing models to autonomously execute complex tasks. The conversation highlights frictionless data integration that makes access to valuable company data effortless. Listeners learn about exponential growth in task endurance, with AI now capable of tackling long-term projects. Lastly, the hosts stress the importance of adopting advanced models that deliver genuine economic outcomes.
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Reasoning Models Change The Game
- Reasoning models transform LLMs from simple chat tools into thinking partners that plan and revise like humans.
- This shift reduces the need for advanced prompt engineering and unlocks exponential capability gains.
Host's Longstanding OS Metaphor
- Jordan recalls calling LLMs 'AI operating systems' for years and urging teams to move meaningful work inside them.
- He points to Fiji Simo's blog saying ChatGPT aims to be a proactive, connected super assistant for enterprise automation.
Most Users Missed Reasoning Gains
- Only a small share of users used reasoning models in 2025, which hid their potential from most people.
- As reasoning becomes default, non-technical users will get much better results without heavy prompt engineering.