Taking a Systems Approach To Adopting AI, Today, some 80% of large companies have adopted machine learning and other forms of artificial intelligence (AI) in their core business. Five years ago, the figure was less than 10%. Nevertheless, the majority of companies still use AI tools as point solutions — discrete applications, isolated from the wider enterprise IT architecture. That’s what we found in a recent analysis of AI practices at more than 8,300 large, global companies in what we believe is one of the largest-scale studies of enterprise IT systems to date.

To scale the benefits of AI-innovations, those companies need to stop thinking of AI tools and applications — such as natural language processing or computer vision — as standalone solutions. Otherwise, the opportunity cost could be as large as 41% of revenue by 2023. By comparison, leading companies in our research that see AI as components of next-generation enterprise IT systems — what we call “future systems” — stand to grow revenues by as much as one-third over the next five years.

Companies building future systems are harnessing vast amounts of data, ubiquitous computing power, and complementary technologies like cloud, data lakes, 3D printing, the Internet of Things (IoT), and advanced workforce reskilling platforms. And they are implementing AI in a systemic way that captures growth today — but also anticipates change for growth tomorrow. Here’s how your company can do the same:

Reimagine the “IT Stack” for the Age of AI. The conventional IT stack — spanning applications, data, and infrastructure — has reached its practical limit. It simply wasn’t built for today’s complex, ever-changing world containing billions of devices, petabytes of data, and decentralized AI applications scaling for millions of users. Moreover, the conventional computer processing chip is now stretched beyond capacity due to the exponential growth of AI.

In place of the standalone application, leading companies are starting to reimagine their IT stacks as boundaryless systems of complex machine, employee, consumer, partner, and competitor interconnections. For example, although applications in the cloud may seem like yesterday’s news,