TED banner
TED avatar
TED
@ted
Subscribers27.5M
Views3.2B
Videos5.7K
TEDPublished at April 29, 2026 at 06:00 AM1:46
OpenClaw’s Peter Steinberger envisions a world where anyone — and everyone — can create AI agents thumbnail

OpenClaw’s Peter Steinberger envisions a world where anyone — and everyone — can create AI agents

last monthLong-tail
TEDTalkTEDTalksTED TalkTED TalksTEDopenclaw peter steinberger
Published time
April 29, 2026 at 06:00 AM
Duration
1:46
Video type
Science & Technology
Channel region
United States
Publish Timing Insight
Not enough timing data
This channel still lacks enough historical upload timing data. Let the channel accumulate more snapshots before evaluating the best timing.
Monetization Insight
High RPM
This video sits in a relatively high RPM range, suggesting a more monetization-friendly topic.
Action Suggestion
Watch for sustained growth
The basic conditions are already in place. Keep watching 7-day views and revenue before deciding whether this topic should become a series.
Views
25.2K
Likes
291
Comments
13
Estimated Daily Revenue
$0.03 - $0.18
Estimated Total Revenue
$24.16 - $140.91
RPM Range
$0.96 - $5.6
1D Views Gain
0
7D Views Gain
0
1D Likes Gain
0
7D Likes Gain
0
1D Comments Gain
0
7D Comments Gain
0
Velocity Score
0%
Topic Cluster
TEDTalk
Video Description
OpenClaw creator Peter Steinberger takes us back to the transformative moment he let his AI agent loose on the internet, igniting one of the world's fastest-growing open-source projects. He makes a fascinating (and slightly unnerving) case that agents are a real shift, not just better versions of chatbots, and explores how they might reshape your ability to work, build and create. "The lobster is loose, and it's not going back into the tank," he says. (Followed by a brief Q&A with TED Chairman Chris Anderson)
Related Topics
Continue with closely related videos to judge topic depth and content format.
Topic: TEDTalk
Not enough related-topic video data yet.
Video FAQs

These FAQs clarify what this video page measures, why revenue is estimated, and how to use the page for content research.

What can you learn from this video analytics page?

This page shows views, likes, comments, RPM and revenue estimates, publish timing, topic tags, related videos, and the broader channel context behind the video.

Why are RPM and revenue numbers estimates?

Actual earnings depend on monetized playbacks, audience geography, seasonality, advertiser demand, and monetization status. CloutOrbit provides directional estimates for benchmarking, not exact payouts.

How should you use this page for content research?

Compare timing, topic tags, monetization signals, and adjacent videos from the same channel to spot formats, themes, and publishing patterns worth testing.