AI agents are evolving from passive tools into active workers as the cost of intelligence decreases rapidly. This shift is reshaping expectations for labor markets and robotics integration across industries. Energy availability and compute capacity have emerged as potential bottlenecks in this transition. These infrastructure constraints may ultimately determine the pace at which autonomous AI systems can scale and replace traditional workflows.