This is you Robotics Industry Insider: AI & Automation News podcast.
Industrial robotics and artificial intelligence are reshaping manufacturing in tangible, measurable ways as we move into November 2025. Listeners should take note: investment and adoption rates in these technologies have not just rebounded—they are accelerating, pushing the global industrial automation market toward nearly 591 billion dollars by 2035, according to Spherical Insights and Consulting. Asia Pacific remains the primary growth engine, but North America’s focus on cutting-edge applications and financial process automation is also reshaping the competitive landscape.
Fresh headlines underline how industrial titans and fast-moving startups are setting the pace. Rivian, the electric vehicle upstart, just launched Mind Robotics, its spinoff for industrial robotics and artificial intelligence, with a sizable external capital infusion. Although details are still under wraps, Rivian’s move spotlights how major players are betting on proprietary data-powered automation to streamline logistics and production. Meanwhile, ODW Logistics is deploying next-gen automation platforms to deliver supply chain flexibility and labor efficiency—a real-world marker of how automation now underpins resilience as much as productivity, as reported by The Robot Report.
In research and development, Northeastern’s Robotics and Intelligent Vehicles Research Laboratory has announced advances in autonomous wheelchairs with integrated robotic arms, showing how AI and automation continue to open new frontiers in both industrial and assistive domains. On the technical side, platforms like Peridio’s Avocado OS are dramatically reducing robotics deployment times, enabling manufacturers to manage and secure entire fleets of intelligent devices in days rather than months, as covered by RoboticsTomorrow.
Artificial intelligence is now central to industrial automation, powering everything from preventative maintenance to dynamic workflow optimization. Most manufacturers are integrating sensing, distributed control, and predictive analytics, according to data from Precedence Research. The result is a measurable reduction in operating costs—22 percent on average—while companies leveraging robotic process automation report return on investment ranging from 30 to 200 percent in the first year, as aggregated by Thunderbit.
Practical takeaways for industrial leaders include prioritizing modular AI integration, investing in workforce upskilling for new automation roles, and establishing robust device management protocols to minimize security risks. Partnerships and acquisitions continue at a vigorous pace, so aligning with agile technology vendors can help de-risk adoption.
Looking forward, listeners can expect automation to define new business models, expand collaborative robot use even among small manufacturers, and create net job gains—170 million new roles by 2030, offsetting expected displacement. Stay proactive, monitor emerging technologies like advanced sensing and edge computing, and foster a culture of continuous learning to capture the full value of this industrial evolution.
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