Author: Miles Deutscher, Crypto Influencer
Translation: Felix, PANews
OpenClaw (formerly Clawdbot) is an open-source autonomous AI agent tool developed by Peter Steinberger. By early 2026, especially after its name was finalized, it quickly became a sensation and one of the hottest projects in the global AI community. Behind the hype, is OpenClaw really effective and suitable for most people? That’s worth considering. Crypto influencer Miles Deutscher, after using OpenClaw for some time, believes it’s not suitable for most users and recommends beginners start with other tools. Here are the details.
I know the title of this article sounds sarcastic, since most of my AI workflows are built using OpenClaw. I post about it weekly. I even created a series called “Day X of Building My AI Team.”
But I still have to tell you: most people shouldn’t use it.
Before criticizing me, hear me out. This isn’t an anti-OpenClaw article, but a critique of the hype. Too many content creators praise OpenClaw for traffic without telling the truth. And that truth is: for most people, there are better alternatives now.
Moreover, in the past week, the landscape has changed dramatically.
Behind the Hype: Little-Known Insider Facts
Here’s the real experience of 90% of people using OpenClaw:
You see those viral tweets. You buy a Mac Mini. You install OpenClaw. You spend a weekend configuring proxies. You feel like a genius after about two days.
Then you realize—you have no idea what to automate.
Your workflow is broken. Your proxy program crashes. You spend more time debugging than working. Now, you have a machine worth over $1,000, but can only do tasks that a $20/month subscription service can handle.
I’ve seen this happen dozens of times in private messages (and with friends/employees). The problem isn’t the tool itself, but the approach.
But no one in the OpenClaw community seems to notice this.
While they’re busy tuning proxy configurations, Anthropic, Notion, and other companies have released announcements that completely change the game.
Latest Announcements (and Why They Changed Everything)
In recent weeks, a series of announcements have truly shifted perceptions about whether OpenClaw is suitable for most people. Here’s a breakdown:
1. Claude Code – Remote Control (Mobile Version)
Anthropic launched a mobile version of Claude Code called “Remote Control.” You just scan a QR code on your device to control Claude Code via iPhone or Android.
No need for Mac Mini, VPS, servers, or terminal windows on your desktop. Just send tasks from your phone, and Claude will build in the background.
One major advantage of OpenClaw is access via platforms like Telegram, WhatsApp, Discord—and the launch of Remote Control solves this for many users.
2. Claude Cowork Updates
If Claude Code is for developers, Cowork is for everyone. It’s a GUI-based intelligent assistant capable of real work: not just answering questions, but executing multi-step tasks within your existing tools.
Recently, they added integrations with Slack, Figma, Canva, Box, and Clay. They also released plugins for finance, HR, design, and private equity industries.
After Anthropic announced the finance plugin, a software industry ETF dropped 6% in a single day. On February 20, after the release of Claude Code Security, cybersecurity stocks plummeted in the afternoon.
This shows how much the market values this product.
For most people using OpenClaw for research, document management, content workflows, or data analysis, Cowork already covers about 80% of their needs.
3. Notion Agents
This feature has been underestimated, but it really shouldn’t be—especially for Notion users like me.
Notion has restructured its entire AI system into autonomous agents. These aren’t chatbots—they can independently perform multi-step workflows over 20 minutes, with memory capabilities. They can connect to Slack, Google Drive, GitHub, and you can set execution times and triggers.
For knowledge work—project management, meeting prep, research, content planning, database management—Notion Agents outperform most OpenClaw setups, and the barrier to entry is nearly zero.
If your main goal with OpenClaw is “manage my business and automate workflows,” then honestly, Notion Agents are a good starting point.
4. Manus / n8n / Zapier
I won’t spend too much time on these tools now (more in-depth content coming later). But it’s obvious: for basic automation—email scraping, web searches, SOP generation, lead enrichment—these tools are sufficient.
If you haven’t fully utilized these tools yet, you probably don’t need to buy a Mac Mini.
Overlooked Scalability Issues
The OpenClaw community also ignores a scalability problem.
Claude Code can scale infinitely in the cloud—more computing resources, parallel tasks, better performance—it grows with your needs. OpenClaw runs on your hardware. When you hit hardware performance limits, your only option is to buy another Mac Mini.
And it’s not just about scalability. Claude Code integrates directly with GitHub, VS Code, and Xcode via MCP. They recently added features like security scanning, lifecycle hooks, hot reload, and device session switching. The ecosystem is expanding weekly.
For most users, cloud-based tools are more practical.
OpenClaw’s Unmatched Advantages
But OpenClaw still has unbeatable strengths:
If you’ve invested time building a proper OpenClaw environment with real, proven use cases, you’re still in a strong position.
But given the industry’s latest updates, my personal view on OpenClaw is:
It’s a great tool, but not the only one. I use Claude Code for specific models/workflows, Notion Agents for business automation, and even GPT for strategy.
In my opinion, there’s no one-size-fits-all solution. The best approach is to use specific tools for specific tasks. OpenClaw is especially useful for automating data scraping and autonomous product iteration—personal choices, of course.
So, what should you do?
If you’re starting from scratch, here are my sincere recommendations:
Most people jump straight to step three and wonder why OpenClaw doesn’t work well for them.
Summary
OpenClaw is excellent for some. If you want to stay at the forefront of AI, it’s definitely worth trying.
But hype has led many to believe that buying hardware and configuring agents is the way to leverage AI. That’s not true. The right approach is to first identify which parts need automation, test with easy-to-use tools, and only upgrade to OpenClaw when truly necessary.
I still use OpenClaw daily and believe in it. But pretending it’s everyone’s starting point is misleading.
Start with the tools above, get comfortable, then build your machine.
That’s the correct order. Most people get it backwards.