Europe is building a serious robotics stack.

Not just humanoids.

‣ Humanoid robots
• 1X Technologies
➝ NEO, EVE

• NEURA Robotics
➝ 4NE-1, cognitive robots

• PAL Robotics
➝ TALOS, Kangaroo, REEM-C, TIAGo

• Engineered Arts
➝ Ameca, RoboThespian

• Wandercraft
➝ Calvin, Atalante

• Pollen Robotics / Hugging Face
➝ Reachy 2, Reachy Mini

• Enchanted Tools
➝ Mirokaï

• Oversonic Robotics
➝ RoBee

• Devanthro
➝ Robody

• Humanoid
➝ HMND 01 Alpha

• Clone Robotics
➝ Protoclone

• Furhat Robotics
➝ Social humanoid head

• Aldebaran
➝ NAO, Pepper legacy

• Shadow Robot Company
➝ Dexterous robotic hands

‣ Industrial robots, cobots and robot arms
• ABB Robotics
• KUKA
• Stäubli Robotics
• Comau
• Universal Robots
• Mobile Industrial Robots
• Franka Robotics
• Agile Robots
• Robotnik Automation
• igus Robotics
• Festo
• Schunk
• Zimmer Group
• OnRobot
• Kassow Robots
• RobCo
• Wandelbots
• Intrinsic
• Franka Emika

‣ Physical AI, manipulation and robot software
• Mimic Robotics
• ComanAI
• Orca AI
• Wandelbots
• Intrinsic
• Korial
• Sevensense Robotics
• Genesis AI
• Probabilistic AI
• Helsing
• AiREat
• maxon
• Harmonic Drive
• Wittenstein
• Beckhoff
• B&R Automation
• KEBA
• SICK
• IDS Imaging
• Basler

‣ Logistics, warehouse robots and AMRs
• Exotec
• Scallog
• Balyo
• Magazino
• idealworks
• Dexory
• AutoStore
• Gideon
• BionicHIVE
• MiR
• BlueBotics
• Opteran
• Swisslog
• Kardex
• KNAPP
• TGW Logistics
• Vanderlande

‣ Legged, inspection and field robots
• ANYbotics
• Swiss-Mile
• Taurob
• MAB Robotics
• Korial / Energy Robotics
• Flyability
• Tethys Robotics
• Rovco
• Eelume
• Forssea Robotics
• Shark Robotics
• Milrem Robotics
• ARX Robotics
• Rheinmetall robotic systems
• Safran robotic systems

‣ Agriculture robots
• Naïo Technologies
• Ecorobotix
• FarmDroid
• Agrointelli
• Saga Robotics
• Pixelfarming Robotics
• Aisprid
• Sabi Agri
• VitiBot
• Odd .Bot
• Trabotyx
• Earth Rover
• Antobot
• Fieldwork Robotics
• Muddy Machines
• Robotti

‣ Medical, surgical, rehab and assistive robotics
• CMR Surgical
• Quantum Surgical
• eCential Robotics
• Robocath
• Moon Surgical
• Distalmotion
• Hocoma
• Wandercraft
• Reactive Robotics
• F&P Robotics
• Assistive Innovations

‣ Social, service and commercial robots
• Engineered Arts
• Furhat Robotics
• Enchanted Tools
• Pollen Robotics
• PAL Robotics
• Blue Frog Robotics
• Aldebaran
• United Robotics Group
• Robotise
• MetraLabs

‣ Drones and aerial robotics
• Parrot
• Quantum Systems
• Wingtra
• Auterion
• Verity
• Volocopter
• Aerones
• Dronamics
• FlyingBasket
• Flyability
• Skyports Drone Services
• Delair
• Azur Drones
• Nordic Unmanned
• Tekever

➤ What Europe has
• strong labs
• strong components
• strong industrial robotics
• serious automation companies
• a growing humanoid layer

➤ What Europe still needs
• faster deployment
• stronger capital
• clearer commercial use cases
• more robots outside lab demos

China is moving fast.

The US is moving fast.

Europe has the engineering base.

Now it needs speed.

I’m genuinely wondering how NVIDIA holds up long term.

OpenAI now has Jalapeño. Google has TPUs. Amazon has Trainium and Inferentia. Meta is working on MTIA. Every major AI player either already has custom inference silicon or is clearly trying to get there.

NVIDIA still has the ecosystem, CUDA, networking, supply chain and insane execution. So I’m not saying they disappear. That would be stupid.

But the direction is obvious: the big labs don’t want to rent the future from one vendor forever.

The real question is whether NVIDIA stays the king of AI compute, or whether this was peak monopoly.

Gold has crashed 25% from its March peak of $5,300.

Gold has underperformed stocks by 30% since March.

But here's the model that explains why.

Think of gold as an insurance policy on the entire financial system.

Its value equals the sum insured, all global stocks, bonds, and cash, times an insurance premium rate.

That premium rate is the market's fear of wealth confiscation.

Debasement, government default, or a banking collapse.

The higher the fear, the higher gold's premium.

Since 1971, this rate has averaged around 5%. But it swings violently with fear.

It hit 20% in the 1970s inflation shock. Over 10% after the financial crisis.

And it recently surged past 10% again, on "Trump 2.0" fears and central bank worries about the dollar.

Now that fear is fading, and the premium is reverting to its 5% average, just like after every past extreme.

For that to happen, gold must underperform financial assets by another 35%.

The re-release of Fable 5 is probably the greatest thing to ever happen in AI.

I spent the last few hours putting together an ultimate guide to help you master Fable.

Key model differences, loop engineering 101, Fable + Skills, how to build a context memory system & more:

#WTI US Oil collapsed out of the mini wedge to $68 today.

We're within $10 of my $58 July target that people said was impossible back in April 2026.

I see what they're doing...

China's move to remove paper #gold will trigger the reflex rally, exactly like May 1980.

One of the strongest sectors outside of AI right now is Biotech.

Oncology
$TNGX Tango Therapeutics
$ELVN Enliven Therapeutics
$RVMD Revolution Medicines
$RLAY Relay Therapeutics
$CGON CG Oncology
$PSNL Personalis
$GH Guardant Health
$NEO NeoGenomics
$INCY Incyte

Neurology
$DFTX Definium Therapeutics
$CMPS COMPASS Pathways
$DNLI Denali Therapeutics
$XENE Xenon Pharmaceuticals
$BIlB Biogen
$NBIX Neurocrine Biosciences
$CPRX Catalyst Pharmaceuticals

Immunology
$ORKA Oruka Therapeutics
$DNTH Dianthus Therapeutics
$APGE Apogee Therapeutics
$IMVT Immunovant
$KNSA Kiniksa Pharmaceuticals
$TGTX TG Therapeutics
$PTGX Protagonist Therapeutics

Genomics
$NTLA Intellia Therapeutics
$EDIT Editas Medicine
$BEAM Beam Therapeutics
$CRSP CRISPR Therapeutics
$ARWR Arrowhead Pharmaceuticals
$KRYS Krystal Biotech
$VCEL Vericel

Rare Diseases
$LQDA Liquidia
$MBX MBX Biosciences
$EWTX Edgewise Therapeutics
$TVTX Travere Therapeutics
$TRVI Trevi Therapeutics
$PVLA Palvella Therapeutics
$VRTX Vertex Pharmaceuticals

Drug Discovery
$TWST Twist Bioscience
$ABSI Absci
$RXRX Recursion
$ABCL AbCellera
$NRIX Nurix Therapeutics

Medical Devices & Life Science Tools
$TWST Twist Bioscience
$ABSIR Absci
$BFLY Butterfly Network
$TXG 10x Genomics
$ABCL AbCellera
$BRKR Bruker
$ALMR Alamar Biosciences
$TECH Bio-Techne

$AXE has signed a strategic three-year Quantum Compute Agreement with US-based $IONQ to accelerate its quantum software development and explore Australian market opportunities.

Under the US$1.5 million deal, $AXE and its customers gain cloud access to $IONQ high-performance 36-qubit Forte quantum processor to run complex algorithms and refine its proprietary quantum machine learning fraud detection models.

Additionally, the companies will conduct a feasibility study to assess deployment options for a physical, sovereign $IONQ quantum computer inside an Australian data center.

This onshore strategy specifically targets Australia's projected $6 billion domestic quantum market by 2030, catering to defense, government, and banking clients bound by strict data sovereignty regulations.

How to invest in the AI/robotics gold rush (FULL GUIDE)

1/
Fable 5 was supposed to be the next frontier model.

Instead people are getting fallbacks, useless refusals, account holds, brutal limits, and safety popups on completely normal prompts.

This is not a launch.

This is Anthropic shipping a Ferrari with a panic button glued to the engine.

2/
Anthropic basically admits the problem themselves.

The safeguards are too broad. Harmless requests get flagged. Biology-adjacent questions can trigger fallback. Users get pushed to Opus 4.8.

So the “most powerful model” disappears exactly when you try to do serious work.

Brilliant.

3/
Asking for unanswered questions in cancer research should not trigger a safety freakout.

That is normal science.

If Fable 5 can’t handle basic biomedical research questions without hiding behind Opus 4.8, then stop pretending this is a serious tool for researchers.

4/
The political theory stuff is just embarrassing.

A model that can’t discuss historical political theory is not “aligned”.

It’s a corporate compliance bot wearing a frontier-model costume.

At some point safety stops being safety and becomes intellectual self-harm.

5/
And then it flags harmless biology questions like “do bumblebees fart?”

That is not protecting humanity.

That is a classifier with a concussion.

If your flagship model treats basic curiosity like a biosecurity incident, the product is broken.

7/
This is the real problem with Fable 5.

Maybe the raw intelligence is there. Maybe it’s amazing under the hood.

But if users constantly hit fallbacks, limits, account holds, and dumb refusals, then the practical product is useless.

Anthropic didn’t release a frontier model.

They released fear with a chat box.

Palo Alto Networks CEO Nikesh Arora said 90% of enterprise workers are behind on AI, and it could determine the fate of their careers.

He expects 20% to 25% of his workforce to change within 12 months.

According to a 2025 Orgvue study, 39% of leaders had already cut workers after deploying AI.

OpenAI has proposed giving Washington 5% of its $852B business to ease AI pressure.

The idea borrows from Alaska’s oil fund, which shares resource wealth with residents.

Here, the resource is not oil, but future income from advanced AI systems.

OpenAI also wants other major AI companies to give similar 5% stakes.

Anthropic, Google, Meta, and others have not agreed to join this plan.

No deal exists yet. The mechanism would likely be: OpenAI gives shares to a government-linked fund, that fund holds them, and future IPO gains or dividends support public payouts.

The hard part is legality. The legal route is unclear, and a deal may need Congress, especially if the government creates a formal public fund.

The Intel deal made this idea less theoretical after taxpayers received a 9.9% stake.

OpenAI has already proposed a public wealth fund giving citizens AI-linked financial upside.

Shareholders matter a lot here. OpenAI Foundation owns 26%, Microsoft owns about 27%, and employees plus other investors own 47%.

A new 5% stake could dilute everyone unless the shares come from an existing holder.

So OpenAI’s board, Foundation, Microsoft, major investors, and maybe regulators would need to accept the structure.

The cleanest path would be non-voting shares placed in a public wealth fund, so the government gets upside but not control.

The messiest path would be voting shares, because then Washington becomes both regulator and part-owner.

Fable 5 is officially back online, and you're probably wondering how to use it without going broke.

Here's the advice from Anthropic engineers, and the exact system I've personally come up with to cut token costs by 50%+:

The 10-80-10 System - Biggest difference:

→ First 10% (Planning): Use Fable to define the structure, approach, success criteria, and constraints. Think of it as your architect. Get the plan right before anything else.

→ Middle 80% (Execution): Switch to a cheaper model. Opus 4.8 for standard work, Haiku for light tasks.

Pro tip here: Ask Fable to fan out subagents for/loops.

→ Final 10% (Review): Bring Fable back in to check the output against the original plan. Because it reviews a finished result rather than generating from scratch, it uses a fraction of the tokens.

4 smaller tips that also make a difference:

• Start on medium effort, not max - Fable on medium beats Opus on extra high.

• Delete old skills and instructions. Prompts built for earlier models perform worse and cost more in Fable. Anthropic recommends starting fresh.

• Give Fable the "why" behind every request. It gets things right the first time more often. Fewer iterations = fewer tokens burned.

• Run /usage regularly. Once Fable moves to pay-per-token on July 7th, this becomes essential.

Two expensive mistakes to avoid:

• Fable is now the default model when you open Claude Code. Check the model selector before every session.

• Set a hard monthly spend cap before July 7th. Settings → Usage → Adjust Limit. Fable burns fast on autonomous runs.

The model is worth every token when used right, but you can quickly rack up token costs. Be sure to save and implement these tips.

The initial production ramp for Tesla’s Optimus robot will be very slow.

During the Q1 2026 earnings call, Elon Musk confirmed the “production S curve will be very slow in the beginning.”

Optimus is an entirely new product category, so Tesla is building brand-new manufacturing processes and technologies very different from vehicle production.

The company is currently setting up its first-generation lines at the Fremont factory to master this process.

But while the start will be gradual, the long-term ambition is massive.

Fremont is being designed for 1 million robots per year, and a second-generation line at Gigafactory Texas is targeted to start production around summer 2027 with the ultimate goal of scaling to 10 million robots annually.

Slow at first. Exponential later. Classic Tesla S-curve.