Beat
Agents at Work
OpenAI, AWS, Microsoft, Google, and Cursor co-developed a working packaging format for agent skills. The IETF was still debating governance. Who controls distribution controls monetization.
◆ Dana Ellison
Agents at Work
The defense sector just became a customer for agentic AI, not a researcher. A $5.6B Army contract and IL5 clearance for autonomous agents mark the start of production-grade government AI.
◆ Dana Ellison
Agents at Work
A survey-driven data set shows 55% of leaders regret their AI redundancies and 32% have rehired for eliminated roles. The correction wave is accelerating faster than the cuts themselves.
◆ Dana Ellison
Agents at Work
The company cut 20% of its workforce and shifted to a hybrid model where AI credits sit alongside seat subscriptions. Other SaaS companies are watching.
◆ Dana Ellison
Agents at Work
The expanded Google Cloud partnership puts Gemini inside Fusion Applications and NetSuite — not as another option in the dev toolkit, but as native intelligence in the apps that run the business. The platform layer is responding to protocol maturation.
◆ Dana Ellison
Agents at Work
A new framework maps 165 million US jobs into six categories based on automation potential and demand expandability. The biggest risk for enterprises isn't mass layoffs — it's hollowing out the talent pipelines that develop senior workers.
◆ Dana Ellison
Agents at Work
A landmark study from ADP Research and Stanford maps which IT tasks employers are discounting as AI spreads — and it explains why enterprise execution failures keep climbing.
◆ Dana Ellison
Agents at Work
New research from ChatSee.ai analyzing 10,000+ failure events shows hallucinations now account for less than 10% of enterprise AI failures. Execution and escalation breakdowns dominate — and budget allocation hasn't caught up.
◆ Dana Ellison
Agents at Work
41% of software orgs say they have MCP in production. The data behind that number tells a different story.
◆ Dana Ellison
Agents at Work
The announcement curve is vertical. The deployment curve is a slow climb. The binding constraints are organizational, not technical — and the cost falls on workers waiting for tools that never arrive.
◆ Dana Ellison
