Observers commonly refer to AI as still in the early innings. The reality is AI is much further along than most marketers acknowledge. In 2012, AlexNet was a watershed deep learning moment when massive and freely available Internet datasets met Nvidia GPUs. This is what truly kicked off the modern AI era, leading to further breakthroughs like generative adversarial networks. In 2017, Google researchers introduced the transformer architecture to the world followed by the scaling laws. Then of course, the mass adoption began with ChatGPT setting off the current AI arms race.  Fourteen years into the modern AI era, our research indicates AI is maturing rapidly. The data suggests we are entering the Enterprise Productivity phase; where we move beyond the novelty of RAG-based chatbots and agentic experimentation. Where 2026 will be remembered as the year that kicked off decades of enterprise AI value creation. We can’t promise that it won’t be messy. White collar job pressures, AI safety, new security and governance threats all loom. But the AI  train isn’t stopping and enterprises that don’t get on board risk obsolescence.