If you’ve been anywhere near AI feeds on Twitter, TikTok, or YouTube lately, you’ve seen it.

Elon Musk says AGI could arrive next year.
Anthropic suggests we’re closer than people think.
DeepMind talks about transformative AI this decade.
Stanford pushes back and says we’re nowhere near it.

And while experts argue about the future of artificial general intelligence (AGI), Mac Minis are quietly selling out because of something called Clawdbot (now MoltBot).

That contrast is what got my attention.

I’m an early adopter by nature. I like new tools. I like systems. I like leverage. But in 2026, I made a rule for myself: zero drag. If something doesn’t improve how I operate — across Sales, Strategy, Systems, Strength, or Scale — I don’t touch it.

So when Clawdbot started trending on my feed recently, I didn’t ask if it was cool. I asked whether it would meaningfully improve how I work. For some reason, I can’t help but think when AI first came on the market, there were so many kludgy versions of AI and overtime, the winners emerged and all of the ChatGPT wannabe’s faded to black.

Why does this latest craze feel like history repeating itself, waiting for the real AGI to emerge? Please stand up. Please stand up.

Clawdbot is essentially a local AI agent framework. Instead of relying entirely on cloud APIs, you run autonomous workflows on your own hardware — usually a Mac Mini. The appeal is obvious: lower recurring costs, more control, always-on automation.

On paper, it sounds like a responsible upgrade for building an AI agent.

Until you’ve experienced the other side of the equation.

I recently built three custom agents inside Manus (currently my favorite LLM — no offense, ChatGPT). I dialed in highly engineered prompts, structured workflows, and connected APIs so everything spoke in sync. It was powerful. Watching research and operational tasks run in the background feels like you’ve hired 24/7 invisible assistants for “free”.

Then I logged in one morning and discovered all my credits were gone. Burned overnight. Upgrade now required to use Manus.

That’s the detail most AI agent and automation launch videos skip. Every time an agent runs, fetches data, calls another service, credits disappear. Autonomous doesn’t mean free. It means always on and consuming.

Instead of upgrading to the next tier blindly, I just rebuilt the same outcome inside a Gemini-based workflow using my Google Workspace Stack (hint: there is secret studio in Google no one is talking about yet). Same result. No extra cost. Different architecture.

(More on that in my next article — promise).

The bigger lesson wasn’t about Manus vs. Gemini. It was about having AI infrastructure discipline.

There’s a subtle trap in every tech boom: we confuse capability with necessity. Just because something is possible doesn’t mean it improves your life or balances your work load.

The AGI debate is fascinating, but it doesn’t change what matters today. Beside no one even agrees on what AGI actually means. What is Artifical General Intellingence (AGI)?

Human-level reasoning?
Economic automation?
Self-improvement loops?

Definitions shift depending on who’s speaking.

Your workflow doesn’t care about definitions. It cares about efficiency.

So I ran the math on this latest Clawdbot Craze.

A Mac Mini ($599) plus expert setup might cost several thousand dollars. If it saves meaningful time each week, it pays for itself quickly. If it creates complexity you now have to maintain, it becomes another system demanding attention.

The real cost isn’t hardware. It’s the cognitive load.

There are always two types of people in the innovation circle: hype chasers and leverage builders. The former chases inevitability. The latter chases actual improvement.

You don’t need AGI to get better at your job. You don’t need local AI infrastructure to be relevant. You need tools that clearly reduce friction and ultimately increase revenue and scale.

So is Clawdbot worth it?

Maybe. If you have a defined automation pain and a measurable outcome in mind. If you’re just afraid of missing the next big thing, waiting is often the smarter move — because trust me this is Beta-1 of a huge AGI wave coming soon.

While the internet debates artificial general intelligence, practical people are improving the systems directly in front of them.

That’s the only advantage that compounds.

If you appreciate signal over hype, follow along. That’s what I’m optimizing for here. Subscribe to my newsletters if you want my Google AI agent hack.