The robot revolution: 60 Minutes investigates the future of automation

01The scale of automation in 2026

Automation describes a wide range of technologies that reduce human intervention in processes by predetermining decision criteria, subprocess relationships, and related actions. In 2026, automation has moved far beyond factory floors. The International Federation of Robotics (IFR) reported that global industrial robot installations reached a record of approximately 590,000 units in 2023, and the trajectory has continued upward. China alone accounts for more than half of all industrial robot installations worldwide, driven by government policy and massive manufacturing scale.

The automation wave spans multiple technological vectors. Robotic process automation (RPA) eliminates repetitive office tasks. Machine learning algorithms perform data analysis that once required human analysts. Computer vision systems inspect products on assembly lines. Natural language processing handles customer service inquiries. The cumulative effect is a transformation of labor that touches nearly every economic sector.

What distinguishes the current era from previous automation waves is the combination of physical robotics and artificial intelligence. Earlier automation replaced physical labor; today's systems increasingly replace cognitive labor. This dual disruption affects jobs across the skill spectrum, from warehouse pickers to accountants to radiologists.

02Warehouse and logistics robots

The logistics industry has become the most visible proving ground for robotics. Amazon operates over 750,000 mobile robots in its fulfillment centers, using them to transport inventory shelves to human pickers in a system called "goods-to-person." The company has also deployed robotic arms for sorting and packing, and is testing bipedal robots for warehouse tasks. Other logistics companies, including DHL, FedEx, and UPS, have deployed autonomous mobile robots and automated sorting systems across their operations.

Autonomous mobile robots (AMRs) represent a significant evolution from the fixed automated guided vehicles (AGVs) of earlier eras. AMRs navigate using lidar, cameras, and SLAM (simultaneous localization and mapping) algorithms, allowing them to operate safely alongside human workers without fixed infrastructure. The technology has matured to the point where startups like Locus Robotics and AutoStore have deployed tens of thousands of units across warehouses worldwide.

Last-mile delivery robotics remains less mature. Companies like Starship Technologies have deployed sidewalk delivery robots in selected cities and college campuses. Nuro's autonomous delivery vehicles operate in several states. But regulatory hurdles, weather limitations, and unit economics have slowed broader deployment compared to warehouse automation.

03Healthcare and surgical robotics

The da Vinci Surgical System, manufactured by Intuitive Surgical, has become the most successful surgical robot platform in history. Over 10 million procedures have been performed using da Vinci systems, which allow surgeons to operate with enhanced precision through small incisions. The system does not operate autonomously; the surgeon controls robotic arms that translate hand movements into precise micro-movements inside the patient's body.

A new generation of surgical robots is pushing toward semi-autonomous and fully autonomous procedures. Researchers at multiple institutions have demonstrated robots performing limited surgical tasks, such as suturing and bone drilling, without direct human control. The Medtronic Hugo system and the Johnson & Johnson Ottava platform represent competitive entries into the surgical robotics market, challenging Intuitive's dominance.

Beyond surgery, robots are entering rehabilitation, pharmacy automation, and elderly care. Exoskeletons help stroke patients regain walking ability. Automated dispensing systems fill prescriptions with pharmaceutical precision. In Japan, where demographic pressures have created severe care worker shortages, assistive robots that lift patients and monitor health are being deployed in nursing facilities.

04The displacement question: jobs and retraining

The relationship between automation and employment is complex and contentious. The McKinsey Global Institute estimates that 30% of work activities globally could be automated by 2030, with the proportion varying significantly by occupation and geography. The World Economic Forum's Future of Jobs Report projects that automation will displace approximately 85 million jobs by 2025 while creating 97 million new roles — a net gain that obscures enormous transitional disruption.

The displaced workers rarely transition smoothly into the new roles that automation creates. A factory worker whose job is eliminated by a welding robot is not positioned to become a machine learning engineer. Retraining programs have shown mixed results: well-funded programs with employer partnerships achieve placement rates of 60 to 70%, but many displaced workers never return to their previous wage level. The economic geography of automation — new jobs cluster in tech hubs while displaced workers remain in manufacturing regions — compounds the problem.

05Robots in the service industry

Service robots represent the fastest-growing segment of the robotics market. In restaurants, robot servers deliver food to tables in chains across Asia and increasingly in the United States. Automated kiosks have replaced front-counter staff at fast-food restaurants, with McDonald's and Wendy's deploying self-ordering systems across thousands of locations. Flippy, a robotic fry cook from Miso Robotics, has been installed in commercial kitchens to automate grilling and frying.

In hospitality, robot concierges and room service delivery robots have appeared in hotels. Cleaning robots, from iRobot's Roomba to commercial floor-cleaning systems from Avidbots and Brain Corp, are standard in many facilities. The retail sector has adopted inventory robots like Simbe Robotics' Tally, which scans shelves to track stock levels with greater accuracy and frequency than human audits.

The economics of service robotics are compelling: a robot server costs roughly $2 to $3 per hour to operate, compared to $15 to $20 per hour for human labor at minimum wage. But the service quality gap remains significant. Restaurant patrons report mixed experiences with robot servers, and complex tasks involving customer interaction, problem-solving, and emotional intelligence remain firmly in human hands.

06Military and security robotics

Military robotics has evolved from remote-controlled bomb disposal units to increasingly autonomous systems. The U.S. military operates thousands of unmanned aerial vehicles (UAVs), from hand-launched reconnaissance drones to large surveillance and strike platforms. Ground robots like the PackBot and SUGV perform reconnaissance and explosive ordnance disposal. The ethical debate over lethal autonomous weapons systems (LAWS) has intensified as AI enables systems that can select and engage targets without human intervention.

On the civilian security side, robots patrol malls, parking lots, and corporate campuses. Knightscope's security robots, which resemble 400-pound cones on wheels, use cameras and sensors to monitor environments and alert human operators to anomalies. These systems have faced criticism for privacy concerns and limited effectiveness in complex security scenarios.

The regulatory landscape for military AI remains underdeveloped. The United States has adopted policies requiring human control over lethal force decisions, but these are department directives rather than binding international law. Over 30 countries have called for a legally binding treaty on autonomous weapons, but consensus among major military powers remains elusive. The gap between technological capability and ethical governance continues to widen.

07The ethical framework we need

The ethical challenges of robotics and automation extend beyond weapon systems. Who is responsible when a robot causes harm — the manufacturer, the operator, or the software developer? When a delivery robot blocks a wheelchair ramp, who is liable? When an algorithmic hiring system discriminates against qualified candidates, what recourse exists? Current legal frameworks were built for products that do not learn and adapt, creating significant gaps for autonomous systems.

The European Union's AI Act, which entered into force in 2024, establishes the first comprehensive regulatory framework for artificial intelligence, including provisions for robotics. It classifies AI systems by risk level, with strict requirements for high-risk applications in healthcare, education, and law enforcement. The United States has no comparable federal framework, relying on sector-specific regulations and voluntary guidelines.

What is needed is not a single ethical framework but a layered approach: product safety standards for physical robots, liability regimes that account for autonomous behavior, data governance rules for AI systems, and social safety nets that manage the labor transition. The robot revolution is already underway. The question is whether institutions can evolve fast enough to ensure its benefits are broadly shared.