Artificial intelligence is no longer a futuristic buzzword – it is a strategic obligation. To today’s C-Suite executives, AI offers far more than automation. When deployed wisely, it is a tool to unlock growth, induce innovation, and enhance smarter decision-making.
“Most leaders at this point use AI to find productivity gains, save costs and reduce staff,” said Amy Webb, CEO of The Future Today Todary Group, a New York consulting firm specializing in strategic forecasting. “But the real opportunity is top line growth” – identify the next wave of innovation and creativity, implement those ideas, and more effectively identify future plans.
To use AI strategically, leaders need to first understand what kinds of things they deal with.
What is the difference between analytical AI and generation AI?
According to Tom Davenport, professor of IT and Management at Babson College in Wellesley, Massachusetts, Generator AI, which creates content such as text, images, product ideas, and more, Tom Davenport, executive at Babson College: Analytics AI, in Wellesley, Massachusetts.
For manufacturing or logistics companies, analytics AI can predict equipment failures and optimize pricing, he said. For media, legal, or marketing people, generative AI can dramatically increase the creation of content.
For example, Colgate-Palmolive uses the generation AI to simulate customer responses to new products, while Kroger’s Analytics AI predicts the nightly inventory needs of all grocery stores.
Why should AI be on the human side of artificial intelligence or on the human side of artificial intelligence?
Despite the power of AI, experts claim that they are always keeping humans in the loop.
Seeing AI as a Job Killer is shortsighted, said Thomas Malone is professor Patrick J. McGovern of the MIT Sloan Management School of Management and founding director of the MIT Collective Intelligence Center. He sees it as a collaborator, not a competitor.
Executives said, “How can we make this technology (along with its generation) so that it can create new jobs and make more profits by using new ideas about new types of products and services?” Malone, author of “Supermind: Thinking the incredible power of people and computers together.”
Davenport wants an expanded mindset that deploys AI to enhance employees rather than replacing them. “Most of these technologies are not powerful or accurate enough to be used without human intervention,” he said.
What are the risks of AI beyond rewards?
Embracing AI poses risks — but they are not pop culture concepts where robots take our jobs and kill us while we’re sleeping, says Webb, author of The Big Nine: The Tech Titans and how their thinking machines distort humanity.
One of the top risks is data collapse. The way information becomes outdated quickly can undermine the effectiveness of AI that relies on it, she said.
Excessive reliance on external partners is another risk.
“We see many organizations, big and small, bringing an army of consultants,” a short-term victory sets long-term flaws, Webb said. “We don’t develop skills (and remaining) that we rely on future consultants, creating great vulnerabilities.”
The third risk, she said, focuses on policy and regulatory uncertainty. This means that businesses may have to constantly change gears as laws evolve.
Experts say that AI needs to be rooted in business strategy, not only handed over to it.
Embedding it throughout the company is more effective than trying to manage it from above, Malone said. When many employees try out AI while providing support and training, it offers opportunities large and small, and can spread AI knowledge across the enterprise.
“There’s a greater risk of trying to pilot it than trying to get more flowers,” he said.
With the evolution of AI’s rapid launch, leaders need to be free from being enveloped in today’s capabilities, Webb said. Rather, they should guide AI to strategic foresight. You need to build a long-term data-driven planning scenario rather than a narrow focus for the next few quarters or years.
“Today’s decisions on artificial intelligence have an echoing effect for decades, at the business level and at the social level,” she said.
Leaders need to plunge into AI without waiting for others to show the way, Davenport said. It means training people, developing good data and understanding how AI fits into your business.
“Don’t think you’ll be a fast follower in this area,” he said. “The idea that you can catch up very quickly without making any early mistakes your competitors make is probably not a good idea. It takes too long for it to really get better.
AI is one case where the hype about conversion is real.
“This technology can change business at least as much as the internet.
