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I think robotics is the next 10x asymmetric trade.
VC investment in the sector is still 1/14th of AI, and it's about to catch up fast.
Here's why I think this sector liquidity isn't slowing down anytime soon.
(and how you can capitalise as an investor):
The bear case on robotics for years has been the same two things:
1. AI simply hasn't been good enough
2. Hardware was too expensive to manufacture at scale
Both of those constraints are breaking right now.
On capability: Robotics general capabilities are rapidly improving.
We are currently at the "GPT-2" moment for robotics (capable, but lacki

Fable 5 is here, and honestly, I can’t believe how much better it is than Opus 4.8.
I put both models head to head, and the outputs results were shocking.
Everything you need to know about Opus 4.8 vs. Fable 5:
Watch now 👉

No matter how many times I read this, it still blows my mind.
Fable has been a HUGE leap forward for AI progression.
For 6 years, AI was doubling task length every ~7 months.
With Mythos (Fable)-class models, it's now doubling every ~4 months!
GPT-2 (2019): ~3 seconds
GPT-4 (2023): ~4 minutes
Claude Sonnet 3.7 (early 2025): ~50 minutes
Claude Opus 4.5 (Dec 2025): ~5 hours
Claude Opus 4.6 (Feb 2026): ~14.5 hours
And Fable 5 (Jun 2026): ~30 hours
I can't even fathom where we'll be in 12 months' time...

Claude Fable is officially back!
This video will make you an expert in under 20 minutes.
I cover: Fable fundamentals, my workflow, loop engineering & more.
Watch now 👉

Robotics investments just hit a new all-time high of $16B.
Here's how I think the average person can get exposure to this emerging sector (nfa - just where I'd start looking):
1. Fund exposure
If you don't want to pick winners, ETFs let you bet on the whole sector at once.
A few worth knowing:
→ $BOTZ (Global X Robotics & AI ETF): industrial robotics + AI heavy
→ $ROBO (Robo Global Robotics & Automation): broadest, most diversified
→ $ARKQ (ARK Autonomous Tech & Robotics): higher risk, higher upside, leans into autonomy and EVs
These spread your risk across dozens of companies instead of betti

Everyone should have an alert on their phone that forces them to revisit this chart every month.
If you've never actually stopped and sat with it, do it now.
Let this be your reminder that time is precious, and you don't have nearly as much left as you think.
Start that business. Travel the world. Take that risk.

This is the most powerful way to use Hermes.
Spinning up multiple subagents to complete work.
Rather than working sequentially, Hermes fans out across multiple agents at once - then cross-verifies and merges the results.
It's like having an entire team from a single prompt:

Anthropic's internal loop engineering playbook just got leaked.
And it's the most valuable AI guide I've read all year.
This guide is packed with info, and there are five things you need to know if you want to maximize your AI productivity with loops (save this):
1. You should structure every loop around these 5 principles:
• Discovery → Let the agent find its own work (CI fails, issues, commits)
• Handoff → Give every task its own isolated git worktree
• Verification → Never let the generator grade its own work
• Persistence → Always write state to disk (markdown or board)
• Scheduling → Run

Pit stop.
Then back to building the world's biggest AI empire.