AI algorithms require more compute power. Naturally, requirement for chip making will increase to process complex data having more computational power. Algorithms learn from data. They find relationships, develop understanding, make decisions from the training data they are given. These vlsi chip training data are growing and it changes for different designs. Also the algorithms applied to larger and more diverse data require fast computation that needs to run really fast. More the parallel processing the algorithms run faster. Electronic chips having more computational power are needed for fast computation. As the AI technology is evolving demand for fast computational electronic chips will be huge.