Here's the thing. AI detection is always playing catch-up. By the time X builds a detector, the AI models have already evolved.
It's an arms race, and the detectors usually lose. Plus, good AI content sounds exactly like mediocre human content. So what's the detector actually catching? The bad AI? That's easy. The good AI? Good luck.
No sign on the door. Two robots inside. One person building civic monuments and troll skulls for film sets.
Skip the mold. Mill the negative. CAD to bronze blanket in two years, perfect micro-relief on every 17mm letter.
The future of making isn't bigger factories. It's smaller shops with better workflows.
Micro-factories popping up near demand. Small, fast, close.
Why ship cross-country when you can print, assemble, ship same-day within 200 miles?
Economies of scale meet diseconomies of distance. Localization wins when speed matters more than pennies per unit.
Seeing this in your sector or still central mega-plants? Drop it 👇 #Manufacturing #Trends #LocalProduction
@AlexHormozi Problem #4: Thinking you have problem #1 when it's actually #3. Chasing new customers while giving away margin on existing ones. The framework is right. The self-diagnosis is usually wrong.
@unusual_whales Bubbles wash out the nonsense, leave the foundation. Dotcom gave us Amazon after the crash. AI bubble concern just means we're in the hype phase. The real work happens after.
"We've always done it this way" – the six most expensive words in manufacturing.
Tradition's great until it costs you $200k a quarter.
The best shops? They keep what works, kill what doesn't, and don't need a committee to tell the difference.
What outdated process are you still running? Drop it below 👇
Dürr AG (DE0005565204): German paint robot manufacturer quietly printing cash. 40-50% aftermarket margins. EU carbon regs driving environmental tech demand. EV retooling cycle starting.
The playbook: equipment sales when auto capex is hot, recurring revenue when it's not. 60-80% cash conversion through the cycle.
Everyone's chasing AI. Meanwhile industrial automation quietly recovers. The DACH compounder hiding in plain sight.
@sciencegirl "Mapped" is generous. Gravity data shows mountain ranges and trenches. The resolution needed for biology, mining, or navigation? Still requires boats with sensors.
Process & control equipment isn't just cyclical capex anymore. Digitalization, IIoT, and sustainability mandates are rewriting the demand curve entirely.
The headline: 4.2% CAGR through 2035. The real story: standalone valves and sensors becoming intelligent network nodes. Hardware margins → software margins. Growth even when unit sales flat because smart systems command premium prices.
Where demand lives:
• Asia-Pacific: 42% (China automation, India infrastructure)
• North America: 24% (retrofit, reshoring, LNG)
• Europe: 20% (Green Deal compliance)
• LatAm: 8% (commodity cycles)
• MEA: 6% (hydrocarbon megaprojects)
China's still the engine. Everyone else is retrofitting.
End-use breakdown:
• Oil & Gas: 25% (emissions compliance, CCUS)
• Chemical/Pharma: 23% (batch traceability, continuous manufacturing)
• Power/Utilities: 21% (renewable integration, grid stability)
• Food & Beverage: 17% (hygiene, traceability)
• Mining: 14% (remote operation, digital mines)
Energy transition and food safety creating demand pockets that didn't exist five years ago.
The consolidation: Emerson, Siemens, Schneider, Rockwell, ABB, Honeywell dominate. But software specialists are eating margins. Value moving upstack—from valves to analytics, sensors to predictive algorithms.
Equipment vendors becoming data platform vendors. Or dying.
Bottom line: Process control isn't about keeping plants running anymore. It's about keeping them running optimally, sustainably, remotely. The 4.2% growth is modest. The transformation underneath isn't.
Source: IndexBox Market Intelligence
Everyone's watching AI and robotics software. Fewer are watching the 36,000 tonnes of NdFeB magnets those robots need annually.
Each industrial robot: 10-15kg of magnets in servo motors and joints. Cobots: ~1kg. Multiply by 700K annual installs by 2028.
The robotics revolution is a materials story. Magnets sit at the center. The software is just the interface.
@SawyerMerritt 28 cities by 2028. Waymo's been at it since 2009 and manages three cities with safety drivers on speed dial. The "full-stack" promise is real. The "full-deployment" timeline is aspirational.
"Chinese ASML within a decade." ASML took 20 years. China has 160 professors at one university, 3 cleanrooms, and engineers who'll work three shifts for 20 years.
Korea's semiconductor veterans retire by 2030. China's hit their prime then. "Time is on our side" isn't rhetoric—it's demographics.
The Jones Act for semiconductors is coming. Build in America or don't sell to American AI.
Trend watch: vertical integration dying, modular everything rising.
Own less, connect better. Plug-and-play suppliers, API-driven logistics, lines that reconfigure in hours not months.
The factory that does one thing perfectly beats the one that does ten things okay.
Specialization + connectivity = the new stack. What's your modularity move? Drop it below 👇 #Manufacturing #SupplyChain #Trends
"Collaboration" means five people in a room where two should've just made the call.
Real collaboration: engineer talks to the guy running the machine. Problem solved by lunch.
Fake collaboration: deck, meeting, follow-up meeting, action items nobody reads.
Your collaboration win or nightmare this week?
@The_AI_Investor 1,000 EUV machines per week. ASML manages 2 per week after 20 years. The "too slow" problem isn't ASML's ambition—it's that atoms move slowly.
AI quality control: cameras catching defects humans miss, flagging patterns before recalls happen.
Vision systems trained on millions of parts. False positives dropping. Scrap rates following.
Still needs the floor lead to override when the lighting's weird.
Your AI-QC win rate vs hype rate? Share below 👇 #QualityControl #AI #Manufacturing
@danielisdizzy "Sustainable abundance" in 7 days. TSMC's been building Arizona for 4 years and still can't find enough people willing to wear bunny suits in the desert. The ambition is real. The calendar is aspirational.