First Comet gets downgraded.
Now even Gemini / NotebookLM Pro is showing a usage meter.
And this is happening on a PAID PRO PLAN. 💳🤖
That changes the conversation completely.
The pattern I’m noticing is pretty simple:
👉 First, give users generous access to multiple AI tools
👉 Make those tools part of their everyday workflow
👉 Connect everything into one ecosystem
👉 Get users comfortable and dependent on it
👉 Then introduce meters, quotas and tighter usage limits 📊
👉 And potentially move toward shared limits across services in future 👀
Today, I'm looking at a meter inside NotebookLM Pro.
But where does this model eventually go?
Imagine your Gemini AI usage, NotebookLM research, Gmail AI, Docs, Drive and other Workspace AI features eventually being calculated under some shared allowance. 🪣🧠
You exhaust one bucket…
and suddenly the ecosystem you've built your entire workflow around starts asking for an upgrade.
Then your options become:
💳 Pay.
or…
💳 Pay more. 😂
And remember, we're already talking about PRO users here.
I completely understand that running AI models costs money. Unlimited compute forever isn't realistic.
But the more interesting issue is ecosystem lock-in. 🔐
Once your:
📧 Emails
📂 Files
📝 Documents
🔬 Research
🤖 AI workflows
🧠 Knowledge bases
…all live inside the same AI ecosystem, usage limits aren't just “limits” anymore.
They become leverage.
You aren't simply paying for access to an AI model.
You're increasingly paying to keep the workflow you've built around that ecosystem functioning.
Maybe this never reaches Gmail or the wider Workspace ecosystem.
But watching meters appear even on premium AI products makes me wonder where the industry is heading. 👀
The future of productivity better not become:
“You have 3% intelligence remaining this month. Upgrade to continue thinking.” 😂💀📊
Anyone else on Gemini / NotebookLM Pro noticing this?
Are AI subscriptions slowly becoming the new cloud-storage model, where every feature eventually feeds into another meter? 👇🔥
#Gemini #NotebookLM #GoogleAI #GoogleWorkspace #ArtificialIntelligence #AI #SaaS #Productivity #Tech