{"id":81663,"date":"2026-01-30T21:16:16","date_gmt":"2026-01-30T19:16:16","guid":{"rendered":"https:\/\/blog.richardvanhooijdonk.com\/?p=81663"},"modified":"2026-02-11T10:20:24","modified_gmt":"2026-02-11T08:20:24","slug":"six-unsexy-industries-where-ai-is-solving-real-problems","status":"publish","type":"post","link":"https:\/\/blog.richardvanhooijdonk.com\/en\/six-unsexy-industries-where-ai-is-solving-real-problems\/","title":{"rendered":"Six unsexy industries where AI is solving real problems"},"content":{"rendered":"\n<div class=\"wp-block-cover is-light has-black-color has-text-color has-link-color wp-elements-8cfa49e9f658aea078c64fb62b444407\"><span aria-hidden=\"true\" class=\"wp-block-cover__background has-cyan-bluish-gray-background-color has-background-dim-20 has-background-dim\"><\/span><div class=\"wp-block-cover__inner-container is-layout-flow wp-block-cover-is-layout-flow\">\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-fe9cc265 wp-block-group-is-layout-flex\">\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Executive summary<\/h2>\n\n\n\n<p>Whilst tech headlines fixate on autonomous vehicles and humanoid robots, some of the most impactful innovations are happening in industries nobody talks about at dinner parties. While the world carries on as normal, waste management, HVAC services, food distribution, pest control, maritime shipping, and textiles are all seeing genuine productivity leaps through automation and AI. The opportunities in these underserved industries are substantial:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Amp Robotics raised US$91m to automate recycling sorting and bring human involvement to near-zero<\/li>\n\n\n\n<li>Shanghai&#8217;s Yangshan Deep-Water Port now operates with only 40% of the workforce, but achieved 213% increased efficiency in cargo handling&nbsp;<\/li>\n\n\n\n<li>Johnson Controls demonstrated a 35% reduction in HVAC energy use across more than 500 buildings by using AI to predict and fine-tune<\/li>\n\n\n\n<li>Choco\u2019s ordering platform and AI assistant act as a digital conduit between tens of thousands of restaurants and their distributors<\/li>\n\n\n\n<li>German startup Sewts created Velum, a robot that automates folding towels and linens \u2013 as many as 600 per hour<\/li>\n\n\n\n<li>Brain Corp has already deployed over 20,000 robotic floor cleaners to work alongside human counterparts<\/li>\n<\/ul>\n\n\n\n<p>The thing is, innovation doesn&#8217;t always wear a sleek consumer interface or generate viral demos. Sometimes it&#8217;s just a robot folding towels in a basement laundry facility at 3AM, or an AI system coordinating container movements at a port nobody visits. These unglamorous applications might not dominate headlines, but they&#8217;re quietly reshaping the physical infrastructure of modern life\u2026 and creating substantial value for those paying attention.<\/p>\n<\/div>\n<\/div><\/div>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><\/p>\n\n\n\n<p>When venture capitalists discuss the next wave of AI opportunities, they&#8217;re increasingly looking past the obvious targets. As Kevin Novak, Managing Partner at Rackhouse Venture Capital, <a href=\"https:\/\/www.inc.com\/annabel-burba\/vcs-say-these-are-the-best-opportunities-for-gen-z-entrepreneurs-right-now\/91208965\" target=\"_blank\" rel=\"noreferrer noopener\">puts it<\/a>, there&#8217;s immense opportunity in \u201cdirty, dusty, unsexy\u201d industries that previous technology waves left behind. These sectors didn&#8217;t participate in mobile transformation or big data adoption, creating what he calls \u201ctwo decades worth of economic lag\u201d now ready to be harvested. The timing for a major disruption could hardly be better. Labour shortages have reached crisis levels across multiple sectors: 62% of contractors are <a href=\"https:\/\/business.open.ac.uk\/business-barometer-2024\" target=\"_blank\" rel=\"noreferrer noopener\">struggling<\/a> to find skilled workers according to the Business Barometer 2024 survey; meanwhile, the US is facing thousands of unfilled HVAC technician positions, and industrial laundries are automating simply to keep operations running.&nbsp;<\/p>\n\n\n\n<p>Meanwhile, sustainability mandates are forcing companies to track and optimise resource use with laser precision. AI and robotics, arguably, are not theoretical improvements in these contexts, but operational necessities that directly impact whether businesses can fulfil orders, meet regulations, and remain profitable. What makes these industries particularly compelling is their inefficiency. When recycling rates have flatlined for years, even modest technological interventions create outsized impact. The companies pioneering solutions in these spaces are seeing an opportunity others appear to have neglected; so, who are these companies, and what sectors are they looking to serve?<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Waste management: turning trash into treasure<\/h2>\n\n\n\n<p><em><strong>AI-powered sorting and smart sensors are rescuing billions in recyclables, and cutting disposal costs by up to 20%.<\/strong><\/em><\/p>\n\n\n\n<p>The global waste management industry handles over US$400bn annually, yet it operates with stunning inefficiency. Nearly 40% of global food production <a href=\"https:\/\/www.reuters.com\/plus\/acumen-stories\/cop-28\/choco\" target=\"_blank\" rel=\"noreferrer noopener\">ends up<\/a> as waste, and for the global economy that\u2019s roughly US$1tr in losses shouldered by everyone from farmers to restaurants. Meanwhile, the US recycling rate has <a href=\"https:\/\/www.epa.gov\/facts-and-figures-about-materials-waste-and-recycling\/national-overview-facts-and-figures-materials#NationalPicture\" target=\"_blank\" rel=\"noreferrer noopener\">plateaued<\/a> around 35% for years, while an estimated US$2.6tr worth of valuable materials in fast-moving consumer goods goes <a href=\"https:\/\/www.wastetodaymagazine.com\/news\/mckinsey-circular-economy-recycling-packaging-batteries-textiles\/?utm_campaign=Waste+Today+News&amp;utm_source=07%2f09%2f2024+-+Colorado+waste-labeling+law+addresses+compostables+%7c+OSHA+fines+Pennsylvania+hauler&amp;utm_medium=email&amp;utm_term=https%3a%2f%2fwww.wastetodaymagazine.com%2fNews%2fmckinsey-circular-economy-recycling-packaging-batteries-textiles&amp;utm_content=560818&amp;isid=B8143F&amp;ncId=415953\" target=\"_blank\" rel=\"noreferrer noopener\">unrecovered<\/a> annually. Instead it just gets thrown out; put in landfill, serving no use to anybody at all.&nbsp;<\/p>\n\n\n\n<p>The core problems here are pretty straightforward: traditional sorting facilities struggle to keep pace with the complexity and volume of waste streams; collection routes operate on fixed schedules regardless of actual need; and there&#8217;s minimal data visibility across the supply chain. Manual sorting, on the other hand, is dangerous, inconsistent, and prohibitively expensive. As venture capital firm Capital Ventures noted, these inefficient, high human-capital operations have \u201cample opportunity for AI not just to incrementally improve existing processes, but to create entirely new possibilities\u201d. Between 2024 and 2025, waste management has seen a surge in AI and robotics deployment. Automated sorting systems using computer vision are capable of outpacing even large teams of human workers. Simultaneously, smart collection systems with IoT sensors report fill levels and waste types in real-time, enabling dynamic routing that cuts fuel costs and prevents overflowing bins.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Rescuing billions from landfill<\/h3>\n\n\n\n<p>Among the market leaders in recycling AI is technology firm Amp Robotics, which <a href=\"https:\/\/www.causeartist.com\/amp-robotics-secures-91-million-to-transform-recycling-and-waste-management\/\" target=\"_blank\" rel=\"noreferrer noopener\">raised<\/a> US$91m in late 2024 to expand its AI-driven sortation systems. The company&#8217;s robots pluck recyclable materials (i.e. plastics, metals, paper and so on) off conveyor belts at remarkable speed, while their AI system continuously learns and adapts by analysing millions of waste images. In next-generation plants, these systems have been able to trim the amount of manual sorting down to virtually zero, dramatically improving reliability and throughput. The company has begun operating full recycling plants itself, since the technology so substantially improves efficiency that it justifies direct facility operation rather than just selling equipment. \u201cAmp\u2019s AI sortation systems enable consumers to recycle both with and without curbside separation,\u201d said Amp investor Abe Yokell, adding that the technology is \u201cprime example of how AI can deliver meaningful environmental and economic benefits.\u201d<\/p>\n\n\n\n<p>Meanwhile, smart waste collection is optimising the front-end. Re-Learn&#8217;s \u2018Nando\u2019 system <a href=\"https:\/\/aiforgood.itu.int\/re-learns-nando-revolutionizing-waste-management-with-ai-at-the-ai-for-good-global-summit-2024\/\" target=\"_blank\" rel=\"noreferrer noopener\">retrofits<\/a> existing bins with sensors and cameras that recognise what people discard and guide proper sorting in real-time. Deployed across seven countries, the company claims these smart bins have improved waste segregation quality from roughly 30% to 75% \u2013 all while cutting clients&#8217; disposal costs up to 20% through better recycling and fill-level monitoring.<\/p>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<blockquote class=\"wp-block-quote quote-stat is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u201c[Back of house industries] didn\u2019t participate in mobile; they didn\u2019t participate in big data. If I can figure out what is the problem holding you back from doing your job 10 times better, I effectively get the opportunity to harvest two decades worth of economic lag.\u201d<\/p>\n<cite><em>Kevin Novak, Managing Partner, Rackhouse Venture Capital<\/em><\/cite><\/blockquote>\n<\/blockquote>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">HVAC services: the AI inside every AC unit<\/h2>\n\n\n\n<p><em><strong>HVAC units contribute massively to CO2 emissions and drag up building costs, but AI agents can slash costs by as much as one third and predict failures.<\/strong><\/em><\/p>\n\n\n\n<p>HVAC services \u2013 that is, installing and maintaining furnaces, air conditioning units, and chillers \u2013 are a ubiquitous presence in modern life, found everywhere from homes and offices to data centres. Puzzlingly, however, the industry has been remarkably slow to modernise. Despite massive investments in building automation, 67% of commercial buildings still <a href=\"https:\/\/panorad.ai\/blog\/hvac-ai-agents-smart-building-automation-2025\/\" target=\"_blank\" rel=\"noreferrer noopener\">operate<\/a> with reactive maintenance strategies that result in 25-40% energy waste and unexpected equipment failures that erode profits and leave people feeling either very hot and sticky, or rather cold. As it stands, the sector faces converging pressures. Experienced HVAC technicians are retiring while fewer and fewer young workers enter the field. According to The Access Group, the shortage currently sits at 110,000 workers in the US, and could increase to 225,000 by the decade\u2019s end.&nbsp;<\/p>\n\n\n\n<p>These shortages could prove highly detrimental for the sector; after all it is no secret that few things upset a customer more than being stuck in an uncomfortably hot room during a heatwave. Meanwhile, energy costs and sustainability mandates are pushing building owners to optimise their consumption, but traditional systems lack the intelligence to adapt dynamically. Many HVAC contractors still schedule maintenance by phone, dispatch technicians with clipboards, and fix equipment only after it breaks. This reactive approach wastes energy, shortens equipment life, and creates expensive emergency repairs. The opportunity, then, lies in making HVAC systems self-aware and predictive through AI that learns building patterns, anticipates failures, and continuously optimises performance.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Cutting energy use by a third<\/h3>\n\n\n\n<p>Tech players are slowly cottoning on to this opportunity. Now, companies like Johnson Controls and Siemens are deploying agentic AI tools that learn building patterns \u2013 for example, occupancy, weather, thermal characteristics \u2013 and continuously adjust HVAC settings for optimal efficiency. In one rollout, Johnson Controls <a href=\"https:\/\/panorad.ai\/blog\/hvac-ai-agents-smart-building-automation-2025\/\" target=\"_blank\" rel=\"noreferrer noopener\">demonstrated<\/a> a 35% reduction in HVAC energy use across more than 500 buildings by using AI to predict and fine-tune temperatures dynamically. Meanwhile, Siemens reported 40% lower equipment maintenance costs after implementing predictive analytics to catch issues before they escalate.<\/p>\n\n\n\n<p>On the other side of the equation, HVAC manufacturers are also embracing software integration. Trane Technologies <a href=\"https:\/\/www.digitalcommerce360.com\/2024\/12\/18\/trane-technologies-to-acquire-ai-hvac-firm-brainbox-ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">acquired<\/a> BrainBox AI in late 2024, a startup whose deep-learning algorithms automate HVAC systems and reportedly cut energy use up to 25% and emissions 40%. BrainBox&#8217;s technology now operates in over 14,000 buildings worldwide, turning ordinary commercial HVAC setups into self-managing systems that anticipate needs and continuously optimise. With Trane&#8217;s distribution network, such AI will likely be embedded into new units from the factory, making energy-inefficient \u2018dumb\u2019 systems as outdated as a landline telephone.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Food distribution: from farm to fork, faster<\/h2>\n\n\n\n<p><em><strong>The food waste problem is out of control, but can AI systems better match production to consumption?<\/strong><\/em><\/p>\n\n\n\n<p>Before your dinner hits the plate, it must first navigate a labyrinthine distribution system encompassing farms, processors, distributors, cold storage, and countless logistics touchpoints. The modern food distribution chain is startlingly fragmented; thousands of growers, distributors, and millions of foodservice outlets spanning a global footprint. Some food is caught in one country, sent to another to be processed, then a third for packaging \u2013 and that\u2019s before it even makes it into packaging. It should be of little surprise that these elaborate networks often <a href=\"https:\/\/www.reuters.com\/plus\/acumen-stories\/cop-28\/choco\" target=\"_blank\" rel=\"noreferrer noopener\">suffer<\/a> from little or no end-to-end transparency or accountability. This fragmentation leads to overproduction as a hedge against uncertainty, which means surplus food is routinely discarded.<\/p>\n\n\n\n<p>The statistics around this are sobering. Over 10% of global greenhouse gas emissions come from the food system, with up to 10% of that purely from food waste. We\u2019re looking at a situation where around 1% of emissions <a href=\"https:\/\/www.reuters.com\/plus\/acumen-stories\/cop-28\/choco\" target=\"_blank\" rel=\"noreferrer noopener\">come from<\/a> producing food nobody even eats. Financially, food waste represents US$1tr in annual losses borne by farmers, distributors, retailers, and restaurants. Among the culprits: inaccurate demand forecasts, paper-based ordering systems, inefficient routing, and cold chain failures where temperature-sensitive cargo spoils due to equipment malfunctions. It\u2019s no secret that this sector desperately needs visibility and coordination. When restaurants call in orders via voicemail, distributors manually transcribe them into spreadsheets, and trucks operate on static routes regardless of actual demand, inefficiency compounds at every node.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Interconnectedness is the answer<\/h3>\n\n\n\n<p>The solutions to this staggering problem are straightforward \u2013 even if the underlying tech isn\u2019t. Berlin-based Choco, for example, has <a href=\"https:\/\/www.reuters.com\/plus\/acumen-stories\/cop-28\/choco\" target=\"_blank\" rel=\"noreferrer noopener\">built<\/a> an ordering platform and AI assistant that acts as a digital conduit between tens of thousands of restaurants and their distributors. Instead of voicemails and scribbled orders, restaurants use Choco&#8217;s app to place orders in seconds, while distributors get a real-time dashboard of incoming orders. It goes without saying that this appreciably reduces errors and saves everyone a great deal of time. Choco&#8217;s mission explicitly targets food waste, noting that nearly 40% of production is wasted largely due to the fragmented, analogue structure of the industry. By 2024, Choco had expanded to six countries with 15,000 restaurants and 10,000 suppliers on its platform, having raised over \u20ac300m (US$347m) in funding.&nbsp;<\/p>\n\n\n\n<p>Cold chain management has simultaneously taken a giant leap forward, in no small part thanks to IoT sensors that <a href=\"https:\/\/www.darkblueshipping.com\/food-cold-chain-logistics-market-a-comprehensive-overview-for-2024\/\" target=\"_blank\" rel=\"noreferrer noopener\">live temperature and location tracking<\/a> for shipments. If a cooler in a truck fails, the system can quickly reroute to nearby cold storage before food spoils. The IoT cold-chain logistics market hit US$114bn in 2024 and is projected to reach approximately US$204bn by 2030, highlighting massive investment flows. These technologies not only reduce waste but ensure food safety; no more uncertainty about whether fish stayed below proper temperatures during transit.<\/p>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"Choco Voice Agent in collaboration with OpenAI\" width=\"800\" height=\"450\" src=\"https:\/\/www.youtube.com\/embed\/nHnCaIPVJgQ?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Pest control and facilities hygiene: AI against the ick factor<\/h2>\n\n\n\n<p><em><strong>Smart traps and autonomous cleaning robots are taking undesirable work out of the hands of underpaid workers.<\/strong><\/em><\/p>\n\n\n\n<p>Pest control and janitorial services epitomise \u2018dirty work\u2019: exterminators crawling under floorboards to set rat traps, cleaning crews working graveyard shifts scrubbing toilets, polishing floors, . You name the unenviable chore, rest assured they do it. These services are vital for public health and business operations, but traditionally very low-tech and labour-intensive. The sector faces what industry observers <a href=\"https:\/\/www.braincorp.com\/resources\/janitorial-robots-ensuring-cleanliness-amid-labor-challenges\" target=\"_blank\" rel=\"noreferrer noopener\">describe<\/a> as cleaning&#8217;s \u2018triple threat\u2019: high demand, fewer available workers, and pressure to control costs. Traditional pest control relies on scheduled visits where technicians manually inspect every trap and bait station regardless of activity. However, this routine approach wastes time checking empty traps while potentially missing actual infestations. Janitorial work is physically demanding, often poorly compensated, and difficult to staff consistently \u2013 particularly night shifts.&nbsp;<\/p>\n\n\n\n<p>Little surprise, then, that the result is inconsistent service quality, frequent turnover, and facilities that can&#8217;t maintain desired cleanliness standards. Both subsectors need solutions that reduce the need for constant human presence and improve detection and response. The solution again comes in the form of IoT and automation. Indeed, IoT-enabled monitoring can alert technicians only when intervention is needed, while autonomous cleaning robots can handle repetitive floor care tasks that consume most janitorial labour hours. This would then (ideally) allow these workers to redirect their efforts toward higher-value activities that require actual human judgment.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Smart traps and cleaning bots<\/h3>\n\n\n\n<p>In pest control, IoT-enabled \u2018smart traps\u2019 can detect when rodents are caught or when insect activity spikes and instantly alert technicians via mobile apps. Companies like Anticimex have <a href=\"https:\/\/www.anticimex.com.sg\/pest-control\/food-processing-industry\/smart-solutions\/\" target=\"_blank\" rel=\"noreferrer noopener\">deployed<\/a> thousands of digital mousetraps that send signals when they snap, enabling on-demand response rather than wasteful routine rounds. Advanced detection systems <a href=\"https:\/\/www.fieldax.com\/blog\/the-latest-innovations-in-pest-control-technology-what-to-expect-in-2024\/\" target=\"_blank\" rel=\"noreferrer noopener\">analyse<\/a> environmental factors like temperature, humidity, and even sounds to spot infestations early and manage them more effectively. On the robotics side, drones can inspect hard-to-reach areas such as rooftops or tall warehouses for pest nests, while some systems use climate data and AI to predict pest surges; for instance, forecasting mosquito breeding spikes after heavy rain combined with heat. This intelligence-driven model focuses efforts where and when needed, saving labour and reducing indiscriminate chemical use\u2014beneficial for both safety and environmental compliance.<\/p>\n\n\n\n<p>On the facilities hygiene side, autonomous cleaning robots have proliferated in malls, airports, hospitals, and supermarkets worldwide. Companies like Brain Corp have already <a href=\"https:\/\/www.braincorp.com\/resources\/janitorial-robots-ensuring-cleanliness-amid-labor-challenges\" target=\"_blank\" rel=\"noreferrer noopener\">deployed<\/a> over 20,000 robotic floor cleaners. These machines work alongside human janitors, handling dull floor care tasks as humans focus on detail work like disinfecting high-touch surfaces or restocking supplies. An unnamed major grocery chain recently deployed Brain Corp\u2019s robotic scrubbers across more than 100 stores saved thousands of labour hours and improved cleaning consistency. With labour shortages, one robot can offset hiring an extra night-shift cleaner, and machines reliably meet elevated hygiene standards without complaint.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Maritime shipping: automating the high seas<\/h2>\n\n\n\n<p><em><strong>The world depends on shipping routes, so why is this pivotal industry still trapped in 20th century thinking?<\/strong><\/em><\/p>\n\n\n\n<p>Global trade floats on maritime shipping: a centuries-old and highly conservative sector that is responsible for moving 90% of world trade by volume. For decades, the industry operated with mountains of paperwork, legacy IT systems that don&#8217;t communicate, and labour-intensive port operations where longshoremen manually coordinate crane operations via radios and spreadsheets. Ports, the crucial nodes where ships load and unload, have often been bottlenecks with hundreds of trucks idling whilst workers orchestrate cargo movements. Finally, however, the sector is ready to embrace more cutting edge solutions. A 2025 <a href=\"https:\/\/www.porttechnology.org\/news\/nearly-half-of-maritime-tech-startups-harness-power-of-ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">survey<\/a> by Flagship Founders found that 45% of maritime tech startups are leveraging AI, up from 27.5% the year before \u2013 a pretty rapid integration jump.&nbsp;<\/p>\n\n\n\n<p>Over the past twelve months, maritime tech startups raised US$234m in disclosed funding rounds, a 73% increase from the previous year&#8217;s US$135m. Key pain points include inefficient scheduling, safety risks in congested waters, lack of real-time coordination between stakeholders, and administrative bottlenecks from paper-based documentation. \u2018Smart ports\u2019 \u2013 the ostensible next generation of maritime shipping \u2013 use networks of IoT sensors, 5G connectivity, and AI algorithms to coordinate logistics. Automated cranes and self-driving trucks move containers with minimal human oversight, whilst AI systems optimise berth assignments and equipment allocation. The benefits extend beyond efficiency: better scheduling means ships spend less time waiting at anchor burning fuel, and precise tracking improves security and reduces theft.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Transformative automation at Shanghai\u2019s biggest seaport<\/h3>\n\n\n\n<p>Shanghai&#8217;s <a href=\"https:\/\/www.universalcargo.com\/smart-ports-the-future-of-automated-cargo-handling\/\" target=\"_blank\" rel=\"noreferrer noopener\">Yangshan Deep-Water Port<\/a> stands as a striking example. One of the world&#8217;s busiest facilities, Yangshan embraced extreme automation and now operates with only 40% of the workforce a traditional port of similar volume would require, yet achieved 213% increased efficiency in cargo handling. Most container moves are performed by self-driving trucks and automated cranes guided by a central AI that schedules tasks to the second. These machines run around the clock without breaks, vastly increasing throughput. At the time of writing China has automated 52 port terminals in this vein, with facilities like Qingdao Port boosting throughput 15% and efficiency 6% by adopting smarter cranes and systems. Automation isn&#8217;t limited to China \u2013 although it generally leads there \u2013 Rotterdam and Hamburg in Europe have semi-automated terminals, while the UK\u2019s Port of Tyne deployed a private 5G network in 2022 to enable real-time control of assets, becoming the country&#8217;s first 5G smart port.<\/p>\n\n\n\n<p>The US has been a particular laggard in terms of port automation, but there are signs of movement there too. California\u2019s state government <a href=\"https:\/\/www.universalcargo.com\/smart-ports-the-future-of-automated-cargo-handling\/\" target=\"_blank\" rel=\"noreferrer noopener\">awarded<\/a> US$27m to major ports in 2024 specifically to develop data standards and digital infrastructure for better coordination. Meanwhile, startup Orca AI <a href=\"https:\/\/www.porttechnology.org\/news\/nearly-half-of-maritime-tech-startups-harness-power-of-ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">raised<\/a> US$72.5m in 2025 to enhance ship navigation safety using computer vision, helping crews avoid collisions in congested waters. Meanwhile, digital maritime firm Marcura acquired Shipster, which uses AI to automate document processing like charter party contracts and bills of lading, addressing the administrative bottlenecks that have plagued the industry for generations.<\/p>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<blockquote class=\"wp-block-quote quote-stat is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u201cI don\u2019t want someone to think that HVAC has not changed in the last hundred years. It\u2019s changed in the last five to seven years, pretty dramatically. And we all need to be able to take notice of it.\u201d<\/p>\n<cite><em>Dave Regnery, Chief Executive, Trane Technologies<\/em><\/cite><\/blockquote>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Textiles and industrial laundry: robots that sew and fold<\/h2>\n\n\n\n<p><em><strong>Autonomous sewing robots and folding systems promise to reshape fashion supply chains and eliminate exploitative labour.<\/strong><\/em><\/p>\n\n\n\n<p>The textiles industry and industrial laundry sector are massive yet rarely discussed. Currently, literally 100% of clothing items are <a href=\"https:\/\/www.eu-startups.com\/2024\/05\/vienna-based-robotics-startup-silana-raises-e1-5-million-to-optimise-the-clothing-production-puzzle\/\" target=\"_blank\" rel=\"noreferrer noopener\">produced<\/a> by hand, with high labour costs driving production to Southeast Asia under often exploitative conditions \u2013 a widely-maligned practice known as the sweatshop. A single t-shirt might require as many as a dozen people, all working lengthy shifts. The clothing industry is responsible for a staggering 10% of global CO2 emissions when the supply chain is accounted for. Meanwhile, over 90% of manufacturing workers earn woefully insufficient wages, and nearly a third of produced clothing cannot be sold and ends up in landfills. From top to bottom (no pun intended) it\u2019s a shoddy situation.<\/p>\n\n\n\n<p>On the other side of the clothing spectrum, industrial laundries face parallel challenges: giant facilities consuming massive amounts of water and energy, with labour-intensive sorting, feeding machines, and folding operations. Both sectors struggle with workforce availability, sustainability pressures, and economic models built on exploitation, inefficiency or both. Consumers and regulators increasingly demand ethical, sustainable production, which current systems can&#8217;t deliver at scale. Fortunately, technology could offer a path forward. Robotic sewing was long considered too difficult due to unpredictable fabric behaviour, but startups have cracked it. Automated folding systems using computer vision can now handle soft textiles in industrial laundries. These innovations promise to reshape global supply chains, potentially moving production closer to consumers while eliminating exploitative labour practices.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Sewing robots, reshaped supply chains<\/h3>\n\n\n\n<p>Vienna-based <a href=\"https:\/\/www.eu-startups.com\/2024\/05\/vienna-based-robotics-startup-silana-raises-e1-5-million-to-optimise-the-clothing-production-puzzle\/\" target=\"_blank\" rel=\"noreferrer noopener\">Silana<\/a> has developed what it claims is the world&#8217;s first autonomous sewing robot: robotic cells that take fabric from roll to finished garment with minimal human input. In 2024, the company raised \u20ac1.5m to accelerate the technology, explicitly aiming to \u201ccounter precarious working conditions\u201d in garment manufacturing. The founders argue that by automating, local production becomes economically feasible again, eliminating the need to exploit labour abroad or ship clothes across oceans. Silana envisions overproduction being \u201ceffectively reduced to zero\u201d through on-demand manufacturing. Their robot cells perform each step \u2013 cutting, sewing seams, adding prints \u2013 consistently within minutes. The company&#8217;s goal is for their \u2018SiBot\u2019 machines to produce one billion garments annually regionally, and they already had nearly 200 machines pre-ordered by major producers worldwide in 2024.&nbsp;<\/p>\n\n\n\n<p>Over in industrial laundry, German startup Sewts <a href=\"https:\/\/www.fanuc.eu\/eu-en\/news\/intelligent-robots-commercial-laundries\" target=\"_blank\" rel=\"noreferrer noopener\">created<\/a> Velum, a robot that automates folding towels and linens. One large Dutch commercial laundry, Rentex, installed robotic arms to lift and fold healthcare linens, reporting it \u201cmoved into robotics, big time\u201d to cope with labour shortages. The Velum system handles 500 to 600 textiles per hour, matching human speed, and with software updates the system is quickly advancing well beyond human capability. While it comes with an undeniably steeper upfront cost than simply hiring someone, the system reportedly pays for itself in roughly two years and can run multiple shifts without breaks, filling gaps where companies simply can&#8217;t find willing workers.<\/p>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-cover is-light has-black-color has-text-color has-link-color wp-elements-248abc6ddf8354c1f7083c38c7982ab2\"><span aria-hidden=\"true\" class=\"wp-block-cover__background has-cyan-bluish-gray-background-color has-background-dim-20 has-background-dim\"><\/span><div class=\"wp-block-cover__inner-container is-layout-flow wp-block-cover-is-layout-flow\">\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-fe9cc265 wp-block-group-is-layout-flex\">\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">In closing<\/h2>\n\n\n\n<p>These six industries \u2013 waste management, HVAC services, food distribution, pest control and facilities hygiene, maritime shipping, and textiles \u2013 share a common narrative. For decades, they operated with minimal technology adoption while facing mounting pressures from labour shortages, sustainability mandates, and economic inefficiency. What venture capitalists now recognise is that this \u2018economic lag\u2019 creates extraordinary opportunities for practical innovation with measurable returns. The evidence is compelling: automated ports achieving 213% efficiency gains, HVAC systems cutting energy consumption by a third, and sewing robots that could reshape global supply chains. The companies pioneering these solutions aren&#8217;t selling moonshots; they&#8217;re solving immediate problems that directly impact whether businesses can fulfil orders, meet regulations, and remain profitable.<\/p>\n\n\n\n<p>Looking forward twelve to twenty-four months, expect accelerated adoption as early success stories validate the business case. Longer term, we&#8217;ll likely see these sectors leapfrog traditional digitalisation paths given the lack of legacy infrastructure to upend. The thing is, innovation doesn&#8217;t always wear a sleek consumer interface or generate viral demos. Sometimes it&#8217;s just a robot folding towels in a basement laundry facility at 3AM, or an AI system coordinating container movements at a port nobody visits. These unglamorous applications might not dominate headlines, but they&#8217;re quietly reshaping the physical infrastructure of modern life\u2026 and creating substantial value for those paying attention.<\/p>\n<\/div>\n<\/div><\/div>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Some of the most promising tech innovations aren\u2019t humanoid robots or self-driving vehicles; they\u2019re in underserved industries doing the dirty work nobody else wants to touch, and at a fraction of the cost.<\/p>\n","protected":false},"author":10,"featured_media":81665,"parent":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","footnotes":""},"categories":[2870],"tags":[],"article-type":[],"trends":[5485,5660],"class_list":["post-81663","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-general","trends-artificial-intelligence-en","trends-gen-ai-chatgpt"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Six unsexy industries where AI is solving real problems<\/title>\n<meta name=\"description\" content=\"Some of the most promising innovations aren\u2019t humanoid robots or robotaxis; 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