CIOs Shift Strategies As AI Forces A Balance Between Operational Savings And Innovation

Technology leaders are being pulled into two directions at once. CIOs are expected to use AI to streamline the business and cut costs, yet they're also expected to turn the same technology into new products, new markets, and new revenue. The result is a strategic balancing act where efficiency and innovation compete for the same resources, and the stakes rise with every decision.

This tension is familiar terrain for Aravind Kashyap. As Chief Information Officer at sporting goods manufacturer Riddell, he relies on a decade of experience steering technology toward business growth across multiple executive positions. His past leadership at SAGE IT, INC and Hexaware Technologies informs his view that the real opportunity lies in masterfully combining both mandates rather than choosing one over the other.

"When it comes to using AI for cost reduction or new revenue, the answer is almost always both. Every decision must tie to the organization's growth strategy because the era of chasing shiny ideas is over. The role now is to balance efficiency and innovation in service of where the business is heading," said Kashyap. To strike that balance, he explained that communication must be anchored firmly to business strategy. Kashyap broke his AI decision framework into three distinct lenses to help CIOs decide where AI truly belongs.

• ROI horizon: "The first lens is the return on investment horizon we're expecting. If the pressure is short term, AI for crushing costs or driving operational efficiency becomes important. If the horizon is twelve to twenty four months, then AI for growing sales makes sense because sales has a lead time," he stressed. This timing check keeps teams honest about whether an initiative solves for immediate efficiency or future growth.

• Data maturity: "AI succeeds only if the data is ready. If an organization has strong operational data, it should use AI to minimize costs. If it has rich customer data, it should use AI for growth and revenue opportunities," Kashyap said. This lens shifts the focus from ambition to capability and forces organizations to ground their AI plans in the data they actually have.

• Business priority: "Every company has a priority. If the focus is margin pressure, AI for cost reduction is essential. If the focus is market expansion or new products, then AI for sales growth makes far more sense." Kashyap's final lens ensures AI aligns with the business agenda, not the other way around. "It starts with identifying the real business pain point: cost, noise, or compliance. There's no other way to do it."