E79 | Why Your AI Model Works, But Your System Fails (The 2026 Shift)

Описание: We spent the last 5 years optimizing for smarter models. In 2026, we hit the wall. The signal from CES 2026 was clear: The bottleneck is no longer "Intelligence"—it is "Trust."

In this episode, I break down why the industry is shifting from "Better Benchmarks" to "Better Systems," and why the most valuable skill in 2026 is no longer Prompt Engineering, but AI Orchestration.

📉 Read the full "System vs. Model" Playbook on Substack: https://open.substack.com/pub/subrata...

🎬 CHAPTERS 0:00 The Evolution of AI: From Models to Systems 1:30 The Signal from CES 2026: Simulation vs. Training 2:50 The Economic Divergence (Why Training Costs Don't Matter) 4:30 Lab vs. Reality: Why "Correct" Answers Still Break 5:07 The Shift in AI Deployment: Trust and Responsibility 6:30 The Pivot: From Answering Questions to Taking Action 9:15 The Strategic Fork: Wrappers vs. Orchestration 10:58 Building Trustworthy AI Systems (The 3 Layers) 12:00 Final Verdict: Don't Chase Models

🧠 THE CORE THESIS Benchmarks measure intelligence. Production measures responsibility. If you are building Agentic Systems, you need to solve for the "System Gap"—the messy reality where context drifts, errors cascade, and there is no "undo" button.

#AI #GenerativeAI #CES2026 #AIOrchestration #TechStrategy #TheSparkAndTheForge