Each of the first three industrial revolutions had a defining breakthrough: steam-powered mechanization, electricity-powered mass production and computer-powered automation. It is now clear that machine intelligence, powered by unprecedented access to terabytes of data, defines the Fourth. With newfound capabilities to automate and optimize critical trade-off decisions, AI is rising into the role of conductor, orchestrating an ensemble of Fourth Industrial Revolution technologies to a symphony of unprecedented results. Five years into the Global Lighthouse Network, more than 700 proven Fourth Industrial Revolution use cases – 200 of which involve advanced AI techniques – prove Lighthouses are past pilots. The new focus is tackling the “Scaling Slump”, the natural adoption slowdown beyond the learning curve’s “false peak”, when some companies balk at the potential costs of replicating single-site approaches across entire networks. Lighthouses, though, are pushing through. Some 82% are focused on designing for scale from day one, with immediate aspirations for dozens, even hundreds, of implementations. They are treating entire factories, not individual use cases, as the new “pilot”, seeking tenfold the transformation impact and nearly double the return on investment of single-site approaches.