In 2022, artificial intelligence (AI) innovation took an unexpected turn, with global investment estimated at $91.9 billion. However, the rapid increase in investment on AI has slowed, with most users seeing incremental improvements in new models that make them better, faster, and more reliable. This pattern is not unique to AI, with the transformer architecture, introduced in 2017 and refined in the years following. This breakthroughs tend to create high expectations, which can lead to an increase in expectations of near-term superintelligence and fully autonomous businesses. The author suggests that the next breakthrough will come when researchers discover a new architecture, paradigm, or method that unlocks capabilities beyond current systems. The article also suggests that businesses should focus on integrating existing AI capabilities into daily operations rather than waiting for the next revolutionary advancement.