AI Enablement Podcast

An AI trend radar tracking what actually matters across agents, enterprise, agile, and career — plus three weekly podcasts breaking it down.

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AI Leadership & Enterprise Strategy

Why most agentic AI pilots fail

Sep 11, 202619:56

In 2026, the era of AI experimentation concludes as organizations transition toward agentic systems capable of autonomous decision-making and wholesale workflow transformation. This shift demands a "disciplined march to value" led by top-down strategy, where success is measured not by adoption volume, but by precise execution in high-ROI areas such as finance, supply chain, and customer service. The business landscape in 2026 is defined by a pivot from "AI vibes" to measurable business value.

Radar — 6 signals

Primacy how early we caught it · Authority how credible the sources are · Velocity how fast it's accelerating · Fit relevance to these four pillars — each scored 0–5, the number is their average.

Most recent data available is from September 11, 2026.

Movement — last 14 days

Topics whose score climbed or fell the most since the radar last re-scored them, not just today's snapshot.

Not enough history yet to show movement.

Shows

Scrum Master Career Evolution

Mondays

Scrum Master Career Evolution

Claiming the 62 Percent AI Wage Premium

Aug 31, 202613:55

The landscape of AI agent engineering in 2026 is defined by a massive divergence in compensation, a structural shift in technical requirements, and the evolution of traditional management roles into "AI Enablers." As AI skills become the single hardest competency to find globally, the market has split into two tiers: a high-stakes "auction" for elite builders at frontier labs and agent-native startups, and a broader market of enterprises integrating agentic features into existing products. The "AI Agent Engineer" has emerged as the most sharply repriced subspecialty in software engineering.

AI + Agile Tools & Platforms

Wednesdays

AI + Agile Tools & Platforms

GPT-6 Astra and Agentic Orchestration

Sep 9, 202620:00

The release of GPT-6 Astra and Fable 5.1 marks a critical shift toward agentic AI capable of autonomous 3D world creation and sophisticated browser control. Despite these technical leaps, enterprises face a decisive gap in deployment due to architectural complexity, even as regulatory scrutiny and market-wide infrastructure outages highlight the growing pains of a maturing intelligence economy. As of September 2026, the artificial intelligence landscape has transitioned from simple task automation to a "frontier" era defined by agentic capabilities.

AI Leadership & Enterprise Strategy

Fridays

AI Leadership & Enterprise Strategy

Why most agentic AI pilots fail

Sep 11, 202619:56

In 2026, the era of AI experimentation concludes as organizations transition toward agentic systems capable of autonomous decision-making and wholesale workflow transformation. This shift demands a "disciplined march to value" led by top-down strategy, where success is measured not by adoption volume, but by precise execution in high-ROI areas such as finance, supply chain, and customer service. The business landscape in 2026 is defined by a pivot from "AI vibes" to measurable business value.