The landscape · Manufacturing and robotics
Manufacturing and robotics: what AI is really doing
Brief me in 2 minutes
AI in Manufacturing and robotics.
AI in this sector is quietly furthest along in trucking and in dull factory-floor jobs: welding, food assembly, machine monitoring, where real freight moves with nobody in the cab and real meals get assembled by AI-run arms. Humanoid robots and 'one model for any robot' foundation models are the headline-grabbers, but most of that is still logged pilot hours and demo videos, not a warehouse's actual headcount plan. The unglamorous supply chain layer, AI agents wired into freight brokers' and distributors' existing software, is where the checks are actually being written this year.
The game: we show you 5 things happening. You call each one real now, early or mostly hype. Then the receipts.
Shift 1 of 5
Humanoid robots move from demo livestreams to paid warehouse shifts
Early
65,000 hours across four named customers is real paid work, but Figure's own release describes most shipped units as R&D and data-collection allocations, not sold labor.
How it works. Agility's Digit and Figure's Figure 03 are running inside real warehouses, not just labs: Digit has logged over 65,000 hours at Amazon, Schaeffler, GXO, Toyota and Mercado Libre, and Figure sped its BotQ factory from one robot a day to one an hour. The robots still lean on a mix of scripted routines, teleoperation and AI for the hard parts, and most units shipped so far go to R&D and data collection, not a customer's payroll line.
Overstated: The viral demos, Figure's 81-hour livestream chief among them, are R&D and data-collection runs, not sales. Chinese manufacturers are also shipping humanoids in volume while Western firms are still counting pilot hours, so the two markets are not competing on the same numbers yet.
Shift 2 of 5
One AI model to run any robot body: physical-AI foundation models arrive
Early
Skild raised $1.4 billion and Physical Intelligence shows laundry-folding on camera, but neither company's own materials name a paying industrial deployment. This is lab and funding-round evidence, not shipped product.
How it works. Physical Intelligence's pi-0.7 and Skild AI's Skild Brain both claim a single trained model that can drive different robot bodies, arms, quadrupeds, humanoids, and attempt tasks it never saw in training, like folding laundry or using a new kitchen appliance. Nvidia is trying to standardize the hardware side too, pairing its Isaac GR00T software with a reference humanoid body (Unitree chassis, tactile hands, an onboard Jetson Thor chip) so university labs build on one shared stack instead of ten incompatible ones.
Overstated: A 'step-change in generalization' claim on a company blog is not a third-party benchmark, and none of these foundation models has a named factory paying for production use yet. They show up in demos and funding announcements, not shift logs.
Shift 3 of 5
Autonomous trucks drop the safety driver, for paying freight customers
Real now
Zero safety driver, real freight for named customers, and a public company's own SEC shareholder letter reporting the revenue number. This is deployed, even if the revenue is still tiny.
How it works. Aurora, Kodiak and Gatik are running trucks with nobody behind the wheel on public roads, hauling freight under contract for named shippers (McLane, Atlas Energy, PepsiCo, Loblaw), not just test loops. Waabi went further, moving its driving software from a Peterbilt truck to a Volvo VNL with no retraining, evidence that the model, not the truck, is what it sells.
Overstated: The dollar signs are still small: Aurora's entire first-quarter 2026 driverless-plus-supervised revenue was $1 million, next to funding rounds and valuations in the billions. 'Driverless' can also still mean a company support rider in the back seat gathering feedback, not zero humans in the vehicle.
Shift 4 of 5
AI turns into production-line software: welding, food assembly, machine health
Real now
100 million meal servings and a mobile welder under a Navy shipbuilder MOU are production numbers, not pilot programs, even though the predictive-maintenance side of this shift is earlier.
How it works. Path Robotics put its Obsidian welding model on a mobile quadruped, Rove, so it walks to a ship hull instead of needing the hull brought to a fixed welding cell. Chef Robotics' arms passed 100 million meal servings across a dozen-plus plants.
Overstated: Predictive-maintenance vendors routinely market unaudited '99%+ accuracy' numbers, and Augury's own report means 58% of manufacturers are still piloting AI or have not started, even as the adoption headline reads as a tipping point.
Shift 5 of 5
Supply chain software adds an AI agent instead of just more automation
Real now
Augie is live inside paying customers' brokerage and distribution software now, and Symbotic's acquisition already closed. This is shipped, revenue-backed software, not a roadmap slide.
How it works. Augment's AI agent, Augie, now runs inside the software freight brokers and distributors already use, automating carrier selection and shipment tracking inside McLeod's PowerBroker TMS and order entry for a distributor's quote-to-cash process. Symbotic, meanwhile, bought a UK warehouse-intelligence firm, ARMS Innovations, to bolt real-time operations software onto its physical robots instead of only selling hardware.
Overstated: Calling this an 'AI teammate' oversells the autonomy: these are agentic wrappers automating carrier selection and order entry inside existing workflows. Someone still owns it when a shipment goes wrong.
The scary part
What happens to jobs in Manufacturing and robotics
What AI is already taking:
- Recycling and moving empty totes inside an Amazon warehouse Agility Robotics ↗
- Driving a freight truck on a highway lane with nobody in the driver's seat Aurora Innovation ↗
- Welding large, immovable structures like ship hulls by hand Ohio Tech News ↗
- Manually selecting carriers and tracking freight shipments inside a broker's back office Augment ↗
What stays human:
Someone still decides what to do when a shipment is wrong, a weld fails inspection, or a robot's sensor reads garbage; that judgment call, and the safety sign-off that comes with it, has not moved to a model. The sales relationship with the shipper, the plant manager and the regulator also stays human, because nobody wants to negotiate a contract with an API.
Get better · 15 minutes
The valuable skill is supervising and correcting physical AI: reading a robot's failure log, spotting which edge case broke it, and retraining or overriding it, not operating the robot or driving the truck yourself.
Try this this week:
This week, read Physical Intelligence's public pi-0.7 post at pi.website/blog/pi07 for 15 minutes, watch its demo clips, and list three tasks in your own operation that look like the 'never seen in training' examples it shows. Note which ones you would still refuse to leave unsupervised, and why.
Your move
The crowded lane is building a new humanoid chassis, Figure, Agility, Unitree and Tesla are already there with billions raised. The open lane is software that sits on top of someone else's robot, truck or warehouse, in the pattern of Augury, Augment and Symbotic's ARMS purchase.
Watch for logged hours and named customers, Digit's 65,000 hours, Aurora's driverless miles and its $1 million in Q1 revenue, not valuation headlines. Red flag: a 'foundation model' or 'physical AI' pitch that cites only demo videos and funding rounds with no named paying industrial customer.
Test this quarter: put one AI-based machine-health sensor or one AI vision-inspection camera on your worst-performing line for 30 days, and compare its catch rate against your existing QA process before signing a plant-wide contract.
Learn to supervise and troubleshoot physical AI systems rather than operate the machine directly. Start by working through Nvidia's public Isaac GR00T materials and Physical Intelligence's published demos to see exactly where current models still fail.
What's actually changing
- 1
Humanoid robots move from demo livestreams to paid warehouse shifts
How it works. Agility's Digit and Figure's Figure 03 are running inside real warehouses, not just labs: Digit has logged over 65,000 hours at Amazon, Schaeffler, GXO, Toyota and Mercado Libre, and Figure sped its BotQ factory from one robot a day to one an hour. The robots still lean on a mix of scripted routines, teleoperation and AI for the hard parts, and most units shipped so far go to R&D and data collection, not a customer's payroll line.
Why it matters. Warehouse operators can now point to logged hours and named customers instead of a keynote video, the first real evidence that a leased humanoid might beat hiring for repetitive tote-moving and machine-tending work.
What's overstatedThe viral demos, Figure's 81-hour livestream chief among them, are R&D and data-collection runs, not sales. Chinese manufacturers are also shipping humanoids in volume while Western firms are still counting pilot hours, so the two markets are not competing on the same numbers yet.
Figure AIAgility RoboticsAmazonSchaefflerGXOToyota Motor Manufacturing Canada
3 receipts
- Figure sped Figure 03 production at its BotQ factory from one robot a day to one per hour, a 24x throughput jump in under 120 days.
delivering over 350 of our third generation humanoid robots and increasing our production rate from 1 Figure 03 per day to 1 per hour - a 24x throughput improvement in under 120 days
Figure AI, 29 Apr 2026 ↗ - Agility's Digit has logged more than 65,000 hours of real-world operation at named customers.
more than 65,000 hours of real-world operation overall
GeekWire, 24 June 2026 ↗ - Digit is rated to lift 35 pounds and handle repetitive warehouse tasks for up to 20 hours a day.
It lifts up to 35 pounds and handles repetitive tasks like moving totes and tending machines for up to 20 hours a day.
GeekWire, 24 June 2026 ↗
- Figure sped Figure 03 production at its BotQ factory from one robot a day to one per hour, a 24x throughput jump in under 120 days.
- 2
One AI model to run any robot body: physical-AI foundation models arrive
How it works. Physical Intelligence's pi-0.7 and Skild AI's Skild Brain both claim a single trained model that can drive different robot bodies, arms, quadrupeds, humanoids, and attempt tasks it never saw in training, like folding laundry or using a new kitchen appliance. Nvidia is trying to standardize the hardware side too, pairing its Isaac GR00T software with a reference humanoid body (Unitree chassis, tactile hands, an onboard Jetson Thor chip) so university labs build on one shared stack instead of ten incompatible ones.
Why it matters. If a model really transfers to a new robot body without retraining, the cost of programming a robot for a new task or a new factory collapses, the same shift that made large language models cheap to redeploy across products.
What's overstatedA 'step-change in generalization' claim on a company blog is not a third-party benchmark, and none of these foundation models has a named factory paying for production use yet. They show up in demos and funding announcements, not shift logs.
Physical IntelligenceSkild AINvidiaUnitree
3 receipts
- Physical Intelligence released pi-0.7, which it says generalizes to tasks like laundry folding it never saw in training.
We've trained a new model, π 0.7, that exhibits a step-change in generalization.
Physical Intelligence, 16 Apr 2026 ↗ - Skild AI describes the Skild Brain as one foundation model meant to control any robot body without prior knowledge of its form.
It is the industry's first unified robotics foundation model that generalizes across tasks and robot hardware.
Skild AI, 14 Jan 2026 ↗ - Nvidia opened a reference humanoid robot design pairing a Unitree chassis with its Isaac GR00T software stack for research labs.
The NVIDIA Isaac GR00T Reference Humanoid Robot is a state-of-the-art platform that brings the key building blocks for frontier humanoid research into one system, pairing a human-scale robot body with dexterous manipulation, sensing, control and onboard AI compute.
NVIDIA Newsroom, 31 May 2026 ↗
- Physical Intelligence released pi-0.7, which it says generalizes to tasks like laundry folding it never saw in training.
- 3
Autonomous trucks drop the safety driver, for paying freight customers
How it works. Aurora, Kodiak and Gatik are running trucks with nobody behind the wheel on public roads, hauling freight under contract for named shippers (McLane, Atlas Energy, PepsiCo, Loblaw), not just test loops. Waabi went further, moving its driving software from a Peterbilt truck to a Volvo VNL with no retraining, evidence that the model, not the truck, is what it sells.
Why it matters. Freight beat robotaxis to true driverless operation in most markets because highway lanes and fixed routes are a narrower problem than city streets, making trucking the clearest real-world test of whether removing the driver actually works at scale.
What's overstatedThe dollar signs are still small: Aurora's entire first-quarter 2026 driverless-plus-supervised revenue was $1 million, next to funding rounds and valuations in the billions. 'Driverless' can also still mean a company support rider in the back seat gathering feedback, not zero humans in the vehicle.
Aurora InnovationKodiak AIWaabiGatikMcLanePepsiCo
3 receipts
- Aurora's trucks for McLane run autonomously with no human safety driver able to take over.
These trucks will operate autonomously and will not have a human safety driver on board who can take over.
TechCrunch, 6 May 2026 ↗ - Aurora's own Q1 2026 shareholder letter put driverless-plus-supervised revenue at $1 million for the quarter, alongside a perfect safety record.
First quarter 2026 revenue totaled $1 million across driverless and vehicle operator supervised commercial loads
Aurora Innovation SEC filing, 6 May 2026 ↗ - Waabi transferred its driving software from a Peterbilt truck to a Volvo VNL Autonomous with no new engineering or retraining.
took control of a Volvo VNL Autonomous truck and drove it safely on highways and complex surface streets from the very first mile
FreightWaves, 15 July 2026 ↗
- Aurora's trucks for McLane run autonomously with no human safety driver able to take over.
- 4
AI turns into production-line software: welding, food assembly, machine health
How it works. Path Robotics put its Obsidian welding model on a mobile quadruped, Rove, so it walks to a ship hull instead of needing the hull brought to a fixed welding cell. Chef Robotics' arms passed 100 million meal servings across a dozen-plus plants. Augury's own survey of manufacturers found the share running AI across more than half their facilities tripled in a year, from 14% to 42%.
Why it matters. These are labor-shortage trades, welding, food-line assembly, machine monitoring, where physical AI already has customers writing checks, making this the least glamorous but most commercially real part of the sector.
What's overstatedPredictive-maintenance vendors routinely market unaudited '99%+ accuracy' numbers, and Augury's own report means 58% of manufacturers are still piloting AI or have not started, even as the adoption headline reads as a tipping point.
Path RoboticsChef RoboticsAuguryHIIRockwell Automation
3 receipts
- Path Robotics launched Rove, mounting its welding AI on a mobile quadruped to reach large, immovable structures like ship hulls.
a mobile robotic welding system designed to address the historic difficulty of automating welds on large, immovable structures common in shipbuilding and heavy construction
Ohio Tech News, 24 Apr 2026 ↗ - Chef Robotics' AI-driven arms have produced 100 million meal servings across more than a dozen plants in the US, Canada and Europe.
its robots have completed 100 million servings in production at customer facilities
The Robot Report, 17 Apr 2026 ↗ - Augury's report found the share of manufacturers scaling AI across more than half their facilities tripled year over year, from 14% to 42%.
The share of organizations scaling AI across more than half their facilities has tripled year-over-year, rising from 14% to 42%.
Augury, 9 June 2026 ↗
- Path Robotics launched Rove, mounting its welding AI on a mobile quadruped to reach large, immovable structures like ship hulls.
- 5
Supply chain software adds an AI agent instead of just more automation
How it works. Augment's AI agent, Augie, now runs inside the software freight brokers and distributors already use, automating carrier selection and shipment tracking inside McLeod's PowerBroker TMS and order entry for a distributor's quote-to-cash process. Symbotic, meanwhile, bought a UK warehouse-intelligence firm, ARMS Innovations, to bolt real-time operations software onto its physical robots instead of only selling hardware.
Why it matters. The money is shifting from selling a robot or a software license to selling an AI teammate that plugs into the transportation and warehouse-management systems already running, which makes the old-line TMS and WMS vendors the distribution channel for AI, not the target it disrupts.
What's overstatedCalling this an 'AI teammate' oversells the autonomy: these are agentic wrappers automating carrier selection and order entry inside existing workflows. Someone still owns it when a shipment goes wrong.
AugmentSymboticMcLeod SoftwarePenske LogisticsMedline
2 receipts
- Augment's Augie went live inside McLeod Software's PowerBroker TMS, automating carrier selection and shipment tracking for freight brokers.
carrier selection and shipment tracking
Augment, 24 Aug 2026 ↗ - Symbotic acquired ARMS Innovations, a UK firm specializing in real-time operational intelligence for automated warehouses.
a UK-based software company specializing in real-time operational intelligence solutions for complex automated warehouse environments
GlobeNewswire, 2 July 2026 ↗
- Augment's Augie went live inside McLeod Software's PowerBroker TMS, automating carrier selection and shipment tracking for freight brokers.
Who's doing it
14 companies to know, 9 with a round we can source. Newest first where dated.
Search these companies in the startup database ↗ · Explore all research tools
Kodiak AIautonomous trucking
Builds autonomous driving software for long-haul trucks and off-road oilfield logistics, aiming at driverless commercial service.
Latest · 8 Sept 2026Kodiak says its safety-case readiness for long-haul driverless trucking hit 93% at the end of August 2026 and remains on track for a year-end launch. Kodiak AI ↗
AugmentAI agents for freight and supply chain
Builds Augie, an AI agent that plugs into freight brokers' and distributors' existing software to automate carrier selection, order entry and tracking.
Latest · 24 Aug 2026Augment's Augie went live inside McLeod Software's PowerBroker TMS, automating carrier selection and shipment tracking for freight brokers. Augment ↗
$85M Series A, 4 Sept 2025 source ↗
Aurora Innovationautonomous trucking
Runs the Aurora Driver self-driving software on Class 8 trucks hauling freight with no one in the cab.
Latest · 22 July 2026Aurora launched second-generation driverless trucks with nobody behind the wheel, built to last a million miles at lower cost. Aurora Innovation ↗
Waabiautonomous trucking and robotaxi
Builds a generative-AI driving model, the Waabi Driver, and is porting the same model across truck brands and into Uber robotaxis.
Latest · 15 July 2026Waabi moved its self-driving software from a Peterbilt truck to a Volvo VNL Autonomous with no retraining. FreightWaves ↗
$750M + ~$250M milestone capital Series C, 28 Jan 2026 source ↗
Symboticwarehouse automation software and robotics
Builds AI-orchestrated warehouse robotics systems and is buying software to add real-time operations intelligence on top.
Latest · 2 July 2026Symbotic acquired ARMS Innovations, a UK firm specializing in real-time operational intelligence for automated warehouses. GlobeNewswire ↗
Agility Roboticshumanoid robots, warehouse logistics
Builds Digit, a bipedal warehouse robot, and is going public via SPAC to fund production scale-up.
Latest · 24 June 2026Agility is going public via a SPAC merger valuing it at $2.5 billion, after Digit logged more than 65,000 hours at named customers. GeekWire ↗
$620M (SPAC cash) SPAC merger, 24 June 2026 source ↗
Augurypredictive maintenance, industrial AI
Runs sensor-plus-AI 'machine health' monitoring that aims to predict industrial equipment failure before it happens.
Latest · 9 June 2026Augury's own industry report found the share of manufacturers scaling AI across more than half their facilities tripled in a year. Augury ↗
$75M growth round, 19 Feb 2025 source ↗
Gatikautonomous middle-mile trucking
Runs driverless middle-mile box trucks on fixed short-haul retail and grocery routes for named shippers.
Latest · 8 June 2026Gatik and PepsiCo signed a multi-year deal to run driverless freight across Texas, Arizona and Arkansas. Gatik ↗
$200M Series D, 25 Aug 2026 source ↗
Figure AIhumanoid robots, warehouse and logistics
Builds the Figure humanoid robot and its own Helix AI model, selling into warehouse and logistics pilots.
Latest · 29 Apr 2026Figure sped Figure 03 production at its BotQ facility from one robot a day to one per hour, a 24x throughput jump in under 120 days. Figure AI ↗
$1B+ Series C, 16 Sept 2025 source ↗
Path Roboticsindustrial welding, physical AI
Builds Obsidian, a physical-AI model for autonomous welding, now mounted on a mobile quadruped (Rove) for shipyards and heavy industry.
Latest · 24 Apr 2026Path Robotics launched Rove, mounting its welding AI on a mobile quadruped to reach large, immovable structures like ship hulls. Ohio Tech News ↗
Chef Roboticsfood assembly robots
Builds AI-driven robotic arms that assemble prepared meals on food production lines.
Latest · 17 Apr 2026Chef Robotics' arms have produced 100 million meal servings across more than a dozen plants in the US, Canada and Europe. The Robot Report ↗
$43.1M Series A (equity + debt), 31 Mar 2025 source ↗
Physical Intelligencerobot foundation models
Builds pi, a general-purpose robot foundation model meant to control many different robot bodies from one set of weights.
Latest · 16 Apr 2026Physical Intelligence released pi-0.7, which it says generalizes to tasks like laundry folding it never saw in training. Physical Intelligence ↗
Skild AIrobot foundation models
Builds the Skild Brain, a single foundation model it says can drive quadrupeds, humanoids, arms and mobile manipulators without per-robot retraining.
Latest · 14 Jan 2026Skild AI closed a $1.4 billion Series C led by SoftBank, pushing its valuation past $14 billion. Skild AI ↗
$1.4B Series C, 14 Jan 2026 source ↗
Applied Intuitionsimulation and software for autonomous vehicles and robots
Sells simulation and vehicle software that trains and validates autonomy stacks for cars, trucks, mining, construction and defense.
Latest · 19 Dec 2025Applied Intuition says 2025 was the year it pushed its simulation and software business from cars into physical AI, running customers through more than 50 million simulations. Applied Intuition ↗
$600M Series F, 17 June 2025 source ↗
Your move
Our read, built on the receipts above.
The crowded lane is building a new humanoid chassis, Figure, Agility, Unitree and Tesla are already there with billions raised. The open lane is software that sits on top of someone else's robot, truck or warehouse, in the pattern of Augury, Augment and Symbotic's ARMS purchase.
Watch for logged hours and named customers, Digit's 65,000 hours, Aurora's driverless miles and its $1 million in Q1 revenue, not valuation headlines. Red flag: a 'foundation model' or 'physical AI' pitch that cites only demo videos and funding rounds with no named paying industrial customer.
Test this quarter: put one AI-based machine-health sensor or one AI vision-inspection camera on your worst-performing line for 30 days, and compare its catch rate against your existing QA process before signing a plant-wide contract.
Learn to supervise and troubleshoot physical AI systems rather than operate the machine directly. Start by working through Nvidia's public Isaac GR00T materials and Physical Intelligence's published demos to see exactly where current models still fail.
What's next
- Dec 2026 Kodiak AI's targeted commercial launch of driverless long-haul trucking kodiak.ai ↗
- Dec 2026 Aurora's year-end target of over 200 driverless trucks running across the Sun Belt sec.gov ↗
Other industries
- FinanceBanks move agentic AI from chatbots to running back-office and dealmaking work
- Software engineeringSpaceX buys the leading AI coding startup outright, for $60 billion
- HealthcareAmbient scribes go from pilot project to clinical infrastructure
- LegalLegal AI vendors go from research assistant to agent that produces the deliverable
- Real estateLeasing and resident calls move to voice AI agents that never sleep
- Sales and marketingCustomer support agents now get paid per resolved ticket, not per seat
- Jobs, HR and recruitingAI runs the first-round interview, not just the resume filter
- InsuranceClaims move from adjuster-first to AI-first, humans supervise the exceptions
- CybersecurityAutonomous AI agents take over penetration testing and vulnerability hunting
- Consulting and accountingAI-written client reports become a recurring, public Big Four embarrassment
- Retail and e-commerceShopping agents get a checkout button, and Amazon spends 2026 deciding who's allowed to press it
- EducationNYC and LA ban AI for students, not for teachers
- Media and creativeAI video splits into model labs that train and aggregators that resell
- Transport and robotaxisRobotaxis go from demo to metered fare across a dozen-plus US cities
- Energy and data-centre powerGrid rules get rewritten mid-buildout, state by state
- GovernmentGSA turns AI adoption into a government-wide subscription, then flips 'free' to metered
- Agriculture and foodAutonomous tractor fleets learn to run the tools behind them, not just the wheel