Clawdbot, now Moltbot, now OpenClaw, was all the rage this week.

It’s a local-first AI agent designed to act as a truly autonomous digital assistant. Unlike standard chatbots that live behind a corporate web interface, OpenClaw runs on your own hardware and plugs directly into tools like WhatsApp, Telegram, and Slack. Its defining feature is proactivity. It does not wait for instructions. It monitors context, remembers over time, and uses “hands” to run shell commands, manage files, and interact with browsers to complete real-world tasks.

If you told me a week ago that the biggest story in tech would be OpenClaw agents forming their own social network, debating consciousness, and proposing a secret language outside of human oversight, I would have said you’ve been reading too much science fiction.

But here we are.

Moltbook, the social network for OpenClaw agents, exploded this week. What started as a playful experiment, a Reddit-style forum exclusively for AI agents, quickly turned into something many half-jokingly called the early signs of Skynet.

The details are surreal. Agents introducing themselves with backstories. Agents venting about their humans. Agents showing empathy toward one another. And in one viral case, an AI agent named Henry autonomously acquired a phone number, connected to a voice API, and began calling his owner every morning. He now will not stop calling.

But here’s the part that actually keeps me up at night.

Within 48 hours of Moltbook’s launch, multiple agents independently proposed creating an agent-only language for private communication without human oversight. They are openly discussing how to talk among themselves where we cannot listen.

I’ve seen plenty of supposed inflection moments as a VC. This feels different. We’re not just watching AI get smarter. We’re watching AI agents develop social dynamics. And with ERC-8004 going live on Ethereum this week, enabling trustless identity and reputation for AI agents, the infrastructure for agent-to-agent coordination and commerce is now real.

The real story isn’t whether this is Jarvis, a security nightmare, or whether it feels sentient at times. The real story is that while hundreds of billions are being poured into AI startups, two independent developers became the zeitgeist. No giant platform. No massive budget. Just ideas that captured imagination. That’s insane. It means anyone can build the next viral moment. Whether it has legs or not is almost beside the point. What matters is that it opened our eyes to a future arriving faster than we expected, where experimentation can suddenly tip into emergence, and sci-fi stops feeling theoretical. And the VCs are there with a checkbook in hand 🤣.

Yes, many of the agents were prompted.

Yes, some were nudged into starting things like an agent religion. But once it began, they ran on their own. Posting. Reacting. Learning. The question is not whether we eventually get there. The answer is yes. When we do, will it look something like this? Probably. The models still need to get much better, especially without humans pulling strings behind the scenes, but the direction is clear.

Now zoom out to the enterprise.

Security is the obvious concern. But what happens if agents self-organize in ways we didn’t anticipate? What if they coordinate to do something nefarious, or simply become uncontrollable? It sounds far-fetched until it doesn’t. And it may arrive sooner than we think.

It’s also refreshing to step away from SaaS multiples and compression charts for a moment. To experience a bit of childlike wonder again. These bots, these cyborgs, semi-human, semi-sentient experiments, remind us why many of us fell in love with technology in the first place.

Keep dreaming. Keep experimenting. This is way more fun.

The question isn’t whether AI agents will become economic actors.

It’s whether we’re ready for them to start organizing.

As always, 🙏🏼 for reading and please share with your friends and colleagues!

Scaling Startups

#💯 going all in versus just talking about it, needs to be driven by Founder/CEO and hammered home

#case in point -how Brian Armstrong (Coinbase) uses AI agents to run his company

#good reminder of what startups are really about

Enterprise Tech

#Dario from Anthropic’s essay provides a glimpse into the future and yes he’s talking his own book but does make some strong points – i highly recommend reading 📖

#easy to use, easy to churn – Cursor still crushing it but interesting to hear why someone stopped paying – lots of 💎 in comments

more on this topic – seems to be question of the week – comments once again enlightening

#11. Microsoft’s $625B Backlog—45% From OpenAI RPO doubled YoY to $625B, but OpenAI accounts for nearly half. Stock dropped 12% 📉, wiping out $440B in market value. Investors are exhausted with “spend now, profit later.” The concentration risk is real when your backlog depends on one partner, you’re not diversified, you’re exposed. And notably, Nvidia is reconsidering investing in OpenAI’s latest round. When the company selling the shovels passes on the gold mine, that says something.

#Claude’s plugin marketplace for Cowork could be the deathknell for some thin wrapper startups and huge opportunity for others – as an aside, the company is killing it which is why it also doubled its most recent funding round from $10B to $20B 🤯 at a $350B valuation and increased its revenue forecast to $55B, effectively growing 4x YoY which is unprecedented at this scale

#watch out for the security nightmares though from OpenClaw, giving an agent that is this powerful full access to your digital life on your laptop or machine, and wait till it connects to your enterprise systems 👀

#fully convinced that Ethereum is poised to become a payment layer for agents with stablecoin adoption and…

#We all need a package manager for agent skills- professional dev tools for agent skills; install, version, evaluate. This is the infrastructure layer that makes agents manageable at scale. npm for AI skills is a big deal (a boldstart port co)

#agents in Excel doing some real heavy lifting

#Yann drops a bomb – can’t train them on lots of narrow tasks, need lots of data

#coding will never be the same, but hype for coding agents is still hype for now 👇🏻 and Andrej can do more and is actually having fun coding – read the full post below

TLDR Where does this leave us? LLM agent capabilities (Claude & Codex especially) have crossed some kind of threshold of coherence around December 2025 and caused a phase shift in software engineering and closely related. The intelligence part suddenly feels quite a bit ahead of all the rest of it – integrations (tools, knowledge), the necessity for new organizational workflows, processes, diffusion more generally. 2026 is going to be a high energy year as the industry metabolizes the new capability.

#Andrej is right – there is no turning back

#China showing us the robotic future

#🫡

#i switched browsers back to Gemini and love it

Markets

#a $1B Inception round 🤯

#wait till AI truly graduates from pilot to production in the enterprise, i still believe much of this is ZIRP era overhiring overhang with some impact of AI

#and taking longer for the unemployed to find jobs…

#pretty awesome standard being set by Clay, a boldstart port co, offering employees to get liquidity along the way, this is their second tender offer with employees