You still using AI to..... write emails? 🤔

You know these things can like.... access your dynamic data, plan, use tools and create work outputs just like us, right?

Chances are, you're still using LLMs like a back-and-forth chatbot straight outta November 2022.

But 2026 is gonna slap you in the face, because the rate of adaption is gonna be undeniable.

Join us for our first #HotTakeTuesday of 2026 for the 5 reasons why.

AI in 2026: 5 reasons why the pace of AI Adoption this year will far exceed 2025 -- An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

Five Pillars of 2026 AI Acceleration
Reasoning by Default in Large Language Models
Agentic Scaffolding for Autonomous AI Execution
Frictionless Data Integration with RAG Pipelines
Exponential AI Task Endurance Metrics
AI Models Delivering Economically Meaningful Work
GDP Valve Benchmark for Enterprise AI
Advanced Front-End LLMs vs Old Transformer Models

Timestamps:

00:00 "AI's Untapped Potential in 2026"

05:32 "Embracing AI as Team OS"

08:50 "Evolution of Reasoning AI Models"

12:34 "Enhanced AI Tools and Scaffolding"

16:04 "Gemini Versions and Data Grounding"

19:24 "Measuring AI Task Proficiency"

21:07 "Exponential Growth of AI Models"

25:56 "Can ChatGPT Create Spreadsheets?"

29:10 "Benchmarking AI for Economic Impact"

30:51 "LLMs Outpace Humans in Efficiency"

34:05 "Everyday AI: Subscribe & Thrive"

Keywords:

AI in 2026, pace of AI adoption, frontier AI capabilities, enterprise automation, agentic scaffolding, reasoning models, hybrid reasoner, large language models, economically meaningful work, AI agents, ChatGPT, Claude Opus 4.5, Google Gemini 2.5, Anthropic, OpenAI CEO of applications, Fiji Simo, proactive super assistant, operating system for enterprises, task endurance, exponential task duration, RAG pipeline, data integration, connectors, integrations, personalized AI, business context, knowledge workers, problem-solution AI, coding capabilities, METR, model evaluation and threat research, 50% time horizon,

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