ANOTHER CRAZY DAY IN AI · THE BIG STORY
New Research Points to a Major Enterprise AI Readiness Gap
New IDC research commissioned by Leah finds enterprise AI agents are scaling quickly, while governance, interoperability, and cross-functional coordination struggle to keep up.
By Wowza Team · Another Crazy Day in AI
IN THIS EDITION
01
New study highlights the risks of rapid AI agent growth
02
Google’s answer to the AI PC
03
From tokenmaxxing to valuemaxxing
04
Some AI tools worth testing
THE BIG STORY
New Data Reveals the Next Challenge for Enterprise AI
WHAT HAPPENED
Enterprise agentic AI company Leah released new IDC research based on 410 enterprise decision makers across legal, procurement, finance, logistics, and supply chain. The study found that 66% of organizations are already using AI agents in production and expect deployments to grow sharply by early 2027. But readiness is lagging: 79% say tools for discovering unsanctioned AI agents are either missing or ineffective, and only 29% of agents currently interact with one another.
The report argues that companies are moving from experimentation into execution, where the challenge is no longer simply deploying AI, but governing and coordinating it across complex, cross-functional workflows.
THREE TAKEAWAYS
1
AI agents are scaling fast, but governance systems are not keeping pace.
2
Most agents still operate in silos, limiting their ability to work across departments and end-to-end business processes.
3
Companies may get better returns by focusing on cross-functional workflows and measurable outcomes instead of simply counting how many AI agents they deploy.
TWO QUICK HITS
What else is moving
Google’s Answer to the AI PC
Google just introduced Googlebook, a new laptop category built on Android technology with ChromeOS foundations and Gemini built into the desktop experience. Starting at $899, the first models from Acer, ASUS, Dell, HP, and Lenovo are designed to work closely with Android phones, letting users continue tasks, access phone files, and interact with mobile apps from their laptop.
From Tokenmaxxing to Valuemaxxing
IBM argues that measuring AI success by adoption or token consumption can tell you how much AI is being used, but not whether it is creating value. As agentic systems take on larger workflows, teams should instead track outcomes like completed deployments, time saved, avoided rework, and vulnerabilities resolved.
WORTH A TEST DRIVE
Some tools to try out
Streva
Translates and transcribes text inline wherever you’re typing, with support for 100+ languages.
Astorie
A visual canvas for building AI video workflows with reusable recipes and team collaboration.
GoodLads
Analyzes Google Ads performance and suggests ready-to-test campaign improvements based on your data.
Another Crazy Day in AI
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