Part 2 of the State of AI series. If Part 1 was about the gap between what AI can do and what it can reliably do, Part 2 is about where that gap resolves over the next twelve to twenty-four months, and what a thoughtful business owner should actually do about it.

The short version: capability gains keep coming, but they feel less dramatic to most users; agentic workflows become real in narrow verticals; some version of an AI capex correction arrives; and the lab that wins the enterprise is the one that ships less capable models that are more reliable, not more capable models that are less reliable. Boring AI beats flashy AI. That is the thesis.

In this episode:

The commoditization of near-frontier capability by Chinese open-weight models (DeepSeek V4, Qwen 3.5, GLM-5) and what that means for small-business vendor leverage
US federal preemption and the EU AI Act enforcement milestone coming in August 2026
Why model providers are becoming regulatory entities themselves
The labor data nobody wants to quote carefully (Goldman Sachs, McKinsey, WEF)
Education, trust, and the second-order effects that will shape the next decade
Five forecasts for the next 12-24 months, held loosely
A five-point practical roadmap for a business owner deciding what to do this quarter

Full written analysis: https://prentusai.com/news/the-state-of-ai-april-2026.html

Part 1 (if you missed it): "Why 95% of AI Pilots Fail" — same feed, earlier this week.

Agents at Work is the podcast of PrentusAI, an independent learning hub covering OpenClaw, NemoClaw, and AI agent technology in plain English for business owners.

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