Unlocking the Revenue Potential of Generative AI: A Shift in Business Priorities

A recent survey by KPMG reveals a significant shift in how businesses measure the return on investment (ROI) of artificial intelligence (AI). Revenue generation has now surpassed productivity as the primary gauge, as organizations grapple with the challenges and opportunities presented by the rapid advancements in generative AI technology.

Harnessing Generative AI to Drive Business Growth

Prioritizing Revenue over Productivity

The KPMG survey, which polled 100 U.S.-based C-suite and business leaders from organizations with annual revenues of billion or more, highlights a notable shift in focus. Businesses are now placing a greater emphasis on the revenue-generating potential of AI, rather than solely on its ability to boost productivity. This shift comes amidst a period of AI-driven turbulence within IT organizations worldwide, marked by hiring slowdowns, shifting C-suite dynamics, and the challenges of implementing this transformative technology.

The Rise of Generative AI Investments

According to market research firm International Data Corp., organizations are expected to spend a staggering .8 billion on generative AI in 2024. This surge in investment underscores the growing importance of harnessing the power of AI to drive business growth and innovation. CIOs have long extolled the efficiency savings of AI, such as a 20% boost in productivity for software developers using AI coding tools. However, as companies transition from pilot projects to full-scale production with this pricey technology, the spotlight is now firmly on its financial impact.

Measuring the Revenue Impact of AI

For technology companies that can integrate generative AI into their products and services or offer standalone AI solutions, the path to revenue generation is more straightforward. As Box CEO Aaron Levie explains, "Because we sell software with AI in it, it by definition is driving revenue." However, for companies in other sectors, quantifying the increase in revenue due to AI investments can be a more complex and time-consuming endeavor.

Enhancing Customer Experiences with Generative AI

CIOs are increasingly looking to AI tools that can drive better, more personalized customer experiences, as this is seen as a primary way to boost revenue. Generative AI's ability to supercharge sales and customer service teams is a key focus area, with tools like Microsoft's Copilot demonstrating the potential to generate more revenue in the hands of a salesperson than a human resources employee.

Personalization and Differentiation: The Path to Revenue Growth

Organizations are also exploring how generative AI can be used to personalize product recommendations and create differentiated digital experiences for customers. IKEA Retail, for example, has introduced the IKEA Kreativ experience on its app, allowing users to visualize IKEA furniture in their own spaces. By enhancing this experience with generative AI-powered features that provide personalized recommendations based on user preferences, IKEA aims to drive increased revenue through better digital engagement.

The Long-Term Payoff: Developing Differentiating Generative AI Tools

While quick efficiency gains from AI can provide immediate benefits, the types of generative AI tools that will drive revenue and business growth are often more complex to develop and take longer to deliver returns. As Principal Financial Group's CIO Kathy Kay explains, her team is working on developing such tools that will be differentiating for the company, with plans to start deploying them in the coming months rather than years.The shift in focus from productivity to revenue generation underscores the growing importance of leveraging generative AI to drive business growth and innovation. As organizations continue to navigate the challenges and opportunities presented by this transformative technology, the ability to harness its revenue-generating potential will be a key competitive advantage in the years to come.