

Logistics is moving fast on technology. Government research notes that sectors like retail and logistics were already actively integrating AI to improve customer insights and streamline functions such as inventory management and supply chains GOV.UK's AI Adoption Research. That shift is changing what warehouse teams do day to day, and it's changing who employers need to hire.
The pull towards automation is strong across adjacent sectors too. In manufacturing, six in ten (59%) firms cited automation and half (50%) cited wider digitalisation as trends changing jobs and skills needs Make UK's 2030 Skills report. Warehouses sit right next to that trend, running conveyors, scanners and robotic pick systems alongside people.
But the technology isn't everywhere yet. The UK still lags internationally on robot use, with only 101 robots per 10,000 workers in 2020 the Smart Machines Strategy 2035. So for most warehouse floors today, the real question isn't machines versus people. It's how to hire people who work well alongside the machines.
Pallet quality is a good example. Deciding whether a load is stable, whether shrink wrap will hold, or whether a damaged board means reject or repair is a judgement call. A scanner can flag a weight anomaly, but a person reads the context: the goods, the customer, the route, the risk. That blend of attention and decision-making is exactly where humans add value.
The wider data backs this up. Manufacturers expect demand for cognitive and meta-cognitive skills, the thinking and problem-solving skills, to increase by 2030, with 74% anticipating that rise Make UK's 2030 Skills report. As routine tasks get automated, the roles that stay human are the ones built on judgement, communication and quick problem-solving.
Employers are also planning to move people, not just replace them. Around 40% of manufacturers are looking to upskill their existing workforce, specifically for redeployment as a result of automation and digitalisation the Make UK Executive Survey 2026. The same logic applies in logistics: as some tasks automate, teams shift towards quality, exception-handling and oversight.
Start by writing the job around the judgement, not just the lifting. Describe the quality calls someone will own, the systems they'll work alongside, and the decisions they'll make when something doesn't scan cleanly. That attracts people who want to think, not just process.
Hire for adaptability. With automation and digitalisation cited by 59% and 50% of manufacturers respectively as forces changing skills needs Make UK's 2030 Skills report, the person who thrives is the one who learns new tools without friction. Ask candidates how they've picked up a new system or handled an exception the process didn't cover.
Watch the skills gap, because it slows everyone down. Over 50% of manufacturers cite skills shortages as the main barrier to AI adoption, and only 2% say AI is widely embedded across their operations The Manufacturer, reporting on Make UK. The lesson for logistics employers: move quickly when you find the right person, and invest in training once they're in.
The irony is that the best way to keep the human calls human is to let technology handle the slow parts of hiring. Sorting applications and chasing availability eats time you'd rather spend meeting people. That's where we help. Our recruitment agent manages recruitment end to end for 8% on a successful hire, with no monthly fee and no upfront cost, through Reed.ai. Tell us the role and we'll get you a shortlist to review.