AI'S FUTURE IMPACT While there has long been an understanding that the future of IT is the future of AI, there is an increasing realiza�on that the future of medicine, of home construc�on, and of energy produc�on and delivery is also the future of AI. Companies across industries are looking to move beyond proofs-of-concept and one-off solu�ons to find the ways AI can impact, improve, and transform their business. As they examine AI in the context of their overall strategic goals — and examine their business models in the context of the benefits and risks of AI — execu�ves are seeking not merely a tool for immediate opera�onal enhancement but a catalyst for a virtuous cycle of con�nual advancement across the tac�cal-strategic spectrum. The path forward is marked by a sequence of progressions that companies can enter at any stage, depending on their readiness and strategic objec�ves. Op�miza�on will become a necessary-but-not-sufficient aspect of strategic AI implementa�ons. The study found that almost a third of companies cite op�miza�on and efficiency as a leading mo�va�on for their AI ini�a�ves. 31% are currently more focused on using AI to lower costs and op�mize opera�ons than on innova�on and growing revenue Q. On a scale of 1 to 10 — where 1 is solely interested in using AI to lower costs and optimize operations and 10 is solely focused on spurring innovation and revenue growth — where would your company's current approach toward AI fall? AI AND LOGISTICS The entry point for many companies in their AI journey is o�en op�miza�on and cost-cu�ng. For example, trucking companies use AI to op�mize vehicle maintenance and fuel consump�on. Consumer businesses deploy chatbots for “Level 1” support and sale engagements with customers, rou�ng more complex issues to customer service agents. By leveraging AI to streamline processes and reduce resource consump�on, businesses can achieve quick wins and lay the founda�on for more advanced applica�ons. TCS AI for Business Study Key Findings Report 30