Don't be fooled by the hype; most people are not suitable for using OpenClaw.

Author: Miles Deutscher, Crypto Influencer

Translation: Felix, PANews

OpenClaw (formerly Clawdbot) is an open-source autonomous AI agent tool developed by Peter Steinberger. It gained rapid popularity in early 2026, especially after its name was finalized, becoming one of the hottest projects in the global AI community. Behind the hype, it’s worth questioning whether OpenClaw is truly user-friendly and suitable for most people. Crypto influencer Miles Deutscher, after using OpenClaw for some time, believes it’s not suitable for the majority and recommends beginners start with other tools. Below are the details.

I know the title of this article is quite sarcastic, considering a large part of my AI workflow is built with OpenClaw. I post about it weekly. I even made a series called “Day X of Building My AI Team.”

But I 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 chase after OpenClaw for traffic without telling the truth. The reality is: for most people, there are better alternatives now.

And in the past week, the landscape has changed dramatically.

The Hidden Truth Behind the Hype

Here’s the real experience of 90% of users of 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, about two days in. Then you realize—you have no idea what to automate.

Your workflow gets interrupted. Your proxy program encounters errors. You spend more time debugging than working. Now, you have a machine worth over $1,000 sitting on your desk, yet it can only do work that a $20/month subscription service can handle.

I’ve seen this happen dozens of times in DMs (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 debugging proxy configs, Anthropic, Notion, and other companies have released announcements that completely change the game.

Recent Announcements (and Why They Change Everything)

In the past few weeks, a series of announcements have truly shifted perceptions of 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 can scan a QR code on your device to control Claude Code via iPhone or Android.

No need for Mac Mini, VPS, servers, or desktop terminals. Just send tasks from your phone, and Claude will build in the background.

One major advantage of OpenClaw is its accessibility via platforms like Telegram, WhatsApp, Discord—this new remote control feature solves that for many users.

2. Claude Cowork Business Update

If Claude Code is aimed at 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 launched industry-specific plugins for finance, HR, design, and private equity.

After releasing financial plugins, a software sector ETF dropped 6% in a single day. On February 20, after Claude Code Security was released, cybersecurity stocks plummeted in the afternoon.

This shows how much the market values this product.

For most people, OpenClaw’s core tasks—research, document management, content workflows, data analysis—are already covered by Cowork at around 80%.

3. Notion Agents

This feature has been underestimated, but it really shouldn’t be (especially for Notion users like me).

Notion rebuilt its entire AI system into autonomous agents. These aren’t chatbots—they can autonomously perform multi-step workflows over 20 minutes, with memory. 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 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, you probably don’t need to buy a Mac Mini.

Overlooked Scalability Issues

OpenClaw community also ignores a scalability problem.

Claude Code can scale infinitely in the cloud—more computing power, parallel tasks, better performance—it grows with your needs. OpenClaw runs on your hardware. When hardware hits its limits, your only option is to buy another Mac Mini.

Not just scalability—Claude Code integrates directly into 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.

The Unmatched Advantages of OpenClaw

But OpenClaw still has unmatched advantages:

• Complete local control. Your data never leaves your machine. Critical for handling sensitive business data, client info, or proprietary workflows.
• Complex multi-agent orchestration. Running five interconnected, task-distributing agents that operate as a coordinated system—something cloud tools can’t do yet. This is where OpenClaw truly outperforms others (and why many still use it).
• Custom agent features. SOUL files, detailed configs, agents that deeply understand your business—such customization is currently unavailable elsewhere.
• 24/7 autonomous operation. Once set up properly, your agents can run around the clock without subscription costs eating into your profits. Long-term, if you prepare well, OpenClaw can be more cost-effective.
• True ownership. You own the entire tech stack, especially if you run local models.

If you’ve invested time building a suitable OpenClaw environment with real, validated use cases, you’re still in a strong position.

But given the ongoing industry 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 purposes. OpenClaw is especially useful for data scraping automation and autonomous product iteration—this is a personal choice.

So, what should you do?

If you’re a beginner, here are my sincere recommendations:

First: Start with Claude (choose Cowork or Code based on your tech level). Get familiar with what AI agents can do in your specific workflow. I believe this is the best starting point for 99% of people.

Second: Add Notion Agents and/or Manus/n8n for your knowledge work and basic automation. Test what’s worth automating and what’s not. It’s a low-risk way to experiment with new workflows.

Third: When you truly find these tools insufficient, then turn to OpenClaw. Because now you know exactly what you need it to do.

Most people jump straight to step three and wonder why OpenClaw doesn’t work well.

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 people to believe that buying hardware and configuring proxies is the way to leverage AI. That’s not true. The right approach is to first understand which parts need automation, test with easy-to-use tools, and only upgrade to OpenClaw when necessary.

I still use OpenClaw daily and believe in it. But pretending it’s everyone’s starting point is misleading.

Start with the tools mentioned above, get comfortable, then build your machine.

That’s the correct order. Most people get it backwards.

Related: Deep Dive into OpenClaw: Filtering Logic of 3002 Community Skills and Ecosystem Overview