There's a narrative floating around that robots are about to replace everyone on a chicken processing floor. Walk into an industry conference, scroll LinkedIn, read a headline — the tone is always the same. Automation is coming. Jobs are disappearing.
The actual picture is different. Some of it is true. Machines have taken over entire stages of poultry processing, and they do those stages better, faster, and more consistently than any human crew ever did. But there are other parts of the process where a $250,000 vision system still can't match a floor worker with five years of knife experience. That's the part nobody writes about.
Canada ranks 15th globally in manufacturing robot density — 225 robots per 10,000 manufacturing employees, according to the IFR World Robotics 2024 Report. That's above the global average of 162. Sounds impressive until you look at what industries those robots are actually in. Food and beverage manufacturing accounts for just 3% of global robot installations. Automotive and electronics dominate. Chicken plants are not leading the charge.
Here's what's actually happening.
What Has Already Been Automated
Some stages of chicken processing were mechanized decades ago. Defeathering has been done by rotary rubber-finger plucking machines since the 1940s. Evisceration went automatic in 1971 when Stork PMT launched its first P40/48 eviscerator. These aren't new developments.
Today, the list of reliably automated stages includes:
- Stunning: Controlled atmosphere stunning (CAS) systems have replaced electrical stunning at major plants. Cargill spent roughly $17 million to install CAS at their London, Ontario facility. More humane, more consistent, less variability.
- Scalding and defeathering: Fully automated immersion and steam systems. BAADER's hooded turbo scalder captures steam for energy efficiency. This is mature technology.
- Evisceration: Modern systems from Marel and Meyn handle full evisceration and giblet harvesting at 15,000+ birds per hour. The 1993 Stork NuTech system was the breakthrough — complete separation of the viscera pack from the carcass with automatic rehang to a separate giblet harvesting line.
- Weighing and grading: Meyn's Line Weigher 180 handles up to 15,000 birds per hour. Vision grading, inline weighing, 250 birds per minute. Accurate to within grams.
- Packaging: Automated pouch and tray forming, vacuum sealing, labelling. AI software identifies and sorts products to route them to the correct wrapping machine.
- Palletizing: Robotic palletizers are standard in large plants. Lincoln Premium Poultry uses robots to truss rotisserie chickens — a task that was entirely manual five years ago.
These stages share something in common. They're repetitive. They're consistent. Each bird going through a scalder or a defeathering machine is roughly the same size, roughly the same temperature, going through the same motion. Machines handle that well.
What Machines Still Can't Do Well
Here's where it gets interesting.
Bone-in cutting and complex portioning. Separating meat from bone requires a series of precision cuts through sinew and tendons. The problem is that each bird is slightly different. Weight, fat distribution, joint angles — they vary. A published study in Animal Frontiers put it bluntly: "Separation of meat from bone and different meat tissues from each other at a precise interface requires skills of handling and manipulation beyond any robotic capability." A typical cutting and deboning line still requires 60 to 80 workers.
Trimming irregular birds. Despite automated systems for standard cuts, the finishing work is manual. Every piece is unique. A trimmer adjusts their cuts to meet quality specs on the fly. A machine running a fixed program sacrifices quality for speed.
Visual quality inspection. AI vision systems can detect anomalies — bone fragments, bruising, foreign materials — at millisecond speeds. But X-ray imaging, the most common bone detection technology, still misses up to 30% of bone fragments because it can't adjust for uneven poultry thickness. Human inspectors remain essential for final QC, especially on premium and specialty cuts.
Sanitation. Automated cleaning-in-place systems and robotic surface cleaners exist. But after the machines finish, human workers still inspect every surface and every piece of equipment for remaining food particles, chemical residue, and spots the machines missed. The rule is simple: surfaces cannot be sanitized effectively if cleaning isn't completed properly. That verification is a human job.
Custom portioning. This one matters to us specifically. When a restaurant orders whole birds chopped to a specific size for Hainanese chicken rice, or a dim sum supplier needs wings cut a certain way, there's no machine for that. A skilled butcher reads the order and adjusts. That's the job.
The Big Players Are Investing — Here's What It Looks Like
The scale of investment at the top of the industry is staggering.
Maple Leaf Foods opened a $660-772 million facility in London, Ontario in late 2022. It's 640,000 square feet. Capacity: up to 100 million fresh chickens per year. Inside, there are 175 PLCs (ControlLogix 5580 and CompactLogix 5380), over 1,500 Variable Frequency Drives, and a full SCADA system. They built a digital twin of the grading and packaging process using Emulate3D — a virtual model that uses machine learning to identify bottlenecks and optimize material flow. The plant employs roughly 1,600 workers at full capacity.
Olymel announced a C$142 million overhaul of their Trois-Rivieres, Quebec facility — AI systems, autonomous vehicles, continuous cooking, autonomous slicing, packaging, boxing, and palletizing. The goal is a fully integrated, high-tech operation from slaughter to ship.
Cargill put $17 million into CAS at their London, Ontario chicken plant. Single technology upgrade. Single facility.
For context on equipment costs: a single poultry deboning machine runs $1,900 to $70,000 depending on complexity. A cobot palletizer starts at $60,000. A full industrial robotic palletizing system is $175,000 to $500,000+. An automated cut-up system running 6,500 birds per hour costs $500,000 to $2 million. A complete automated processing line — kill to pack — runs $5 million to $20 million and up.
These numbers mean something specific. Only the largest processors can afford full-line automation.
What About Mid-Size Processors Like Us?
We're not Maple Leaf. We don't have $660 million to build a new plant. Most processors in Canada don't. The question for operations our size is different: what can we afford, what makes sense, and what help is available?
The federal government runs the AgriInnovate program through Agriculture and Agri-Food Canada. Between 2018 and 2023, they approved 32 projects and disbursed $114.9 million — averaging $3.7 million per project, with a cap of $5 million. Priority areas include advanced manufacturing, automation, robotics, and digitization. In 2024, CRO Quail Farms received up to $1.6 million for automated egg, feed, and meat processing systems.
At the provincial level, Ontario's Agri-Tech Innovation Initiative offers up to $100,000 (35% of eligible costs for projects over $100K, or up to $49,999 for smaller projects). It's designed specifically for implementing new equipment, technology, and machinery.
Then there's Robot-as-a-Service. Instead of buying a $175,000 palletizer outright, you lease a robotic system for roughly $5,000 per month. It removes the upfront capital barrier. For a mid-size processor testing automation on a single line, that's a realistic entry point.
The thing is, the driver behind all of this isn't efficiency fantasies. It's the labour shortage. Food Processing Skills Canada estimates that Canada's food and beverage manufacturing sector needs 142,000 new workers by 2030. That number accounts for 50,000 current unfilled vacancies, over 65,000 expected retirements (24% of the workforce is aged 55-64), and 9% projected growth. Labour shortages are already costing the industry an estimated $3.1 billion in annual lost revenue. Automation isn't replacing workers — it's filling gaps where workers don't exist.
Automation Creates Jobs — Different Ones
This is the part that gets lost in the headlines. When a plant installs a robotic palletizer, they don't just fire the palletizing crew. They need someone to program the PLC that controls it. Someone to calibrate the vision system that guides it. Someone to maintain the hydraulics and electronics when it breaks. Someone to analyze the production data it generates and figure out how to optimize throughput.
Here are six role categories that barely existed in poultry processing 15 years ago:
| Role | What They Do | Salary Range (CAD) |
|---|---|---|
| ------ | ------------- | ------------------- |
| PLC Programmer | Programs and maintains Programmable Logic Controllers, configures VFDs, servo drives, HMIs | $70,000 - $110,000 |
| Robotics Maintenance Technician | Maintains and repairs industrial robots, troubleshoots electrical and pneumatic systems | $55,000 - $85,000 |
| Vision Systems Operator | Operates and calibrates machine vision and AI inspection systems | $50,000 - $75,000 |
| Data Analyst (Production) | Analyzes production data from SCADA/MES systems, identifies bottlenecks | $60,000 - $90,000 |
| Automation/Controls Engineer | Designs and integrates automated systems, Lean Six Sigma, AutoCAD | $80,000 - $130,000 |
| Digital Twin Specialist | Creates and manages digital twin models of production processes | $75,000 - $120,000 |
By 2030, an estimated 500 million industrial robots will be in operation globally. Every single one needs someone to keep it running.
But here's the role that doesn't show up on that table — and it might be the most valuable one in the building. The floor worker who understands both the machine and the bird. The person who spent years trimming by hand, then learned how the automated cut-up system works, and now can tell the PLC programmer exactly why the machine is mishandling a specific cut. That person bridges two worlds. They speak production floor and they speak systems. Plants are desperate for them, and there's no university program that creates them. They come from experience.
These are the new roles that are emerging in poultry processing — not instead of floor work, but alongside it.
The future of chicken processing isn't fully automated and it isn't fully manual. It's hybrid. Machines handle what they're good at — speed, repetition, consistency. Humans handle what they're good at — judgment, precision, adaptability. The plants that figure out how to combine both are the ones that will still be running in 20 years.
We've been at this for over 30 years at Cheong Hing. The tools change. The fundamentals don't. You still need people who know what a properly processed bird looks like, and who care enough to get it right.