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AI:

A Stealth Weapon

You can’t put your head in

the sand for this one.”

The Problem:

Artificial intelligence could disrupt everything,

but few leaders really know how it will.

The Solution:

Dedicate a team to exploring AI and crafting

a strategy, then experiment.

Maybe the AI “revolution” won’t lead to much. So what if it makes emails more grammatically correct or speeds up coding? Perhaps it will never be able to provide information that reliable. One MIT researcher even feels the bump in corporate productivity might be as little as 1 percent over 10 years.

With such uncertainty surrounding AI, leaders might be tempted to hold off for now—to let other firms spend big on AI and expand resources making mistakes—until there’s clear proof that it makes a difference in their specific business. Dave Rossi, president of Korn Ferry’s Global Industrial Manufacturing Advisory, says he’s currently seeing that approach across C-suites and boardrooms. “You feel like you have to invest in it, even if you don’t believe in it,” he says.

But CEOs who delay could face the danger of not committing to a valuable new technology—or embracing it too late. Business historians can recite a host of lessons from the past along these lines, pulling out such latecomers to new technology as Blockbuster and Sears, Roebuck and Co. But while the first functional artificial intelligence dates all the way back to 1951, most of the world only woke up to the once-in-a-generation potential of AI when ChatGPT hit the scene much more recently. This, many believe, could be the next internet or combustible engine—if only people, especially CEOs, knew how to use it and when. “It’s seen as a technology waiting for a problem,” says Jean-Marc Laouchez, president of the Korn Ferry Institute.

We’re seeing 
how critical
hiring 
AI talent
has 
already become.”

Some CEOs, like Peter Ross of Senior Helpers, a $500 million-a-year firm offering in-home healthcare, are already looking to the future. “I’m excited and nervous at the same time,” he says. He’s hopeful the technology will make it easier to monitor the health of the company’s patients, among other tasks. But the real game changer for Senior Helpers would be for AI to streamline the massive task of organizing, assigning, and deploying the firm’s 20,000 caregivers in its more than 380 franchise locations. Sure, to an outsider, none of this is as thrilling as watching Will Smith take on an army of robots, but it’s where the battle for survival in Ross’s business will be fought. “You can’t put your head in the sand for this one,” he says.

Of course, one pressure follows another. Already, a variety of stakeholders are demanding to see the return of investment firms who are pouring resources into AI, which is virtually impossible to calculate at this stage. And yet CEOs know they’re risking market share, even their entire businesses, if they don’t invest. Indeed, the cost of not reacting is already being felt in many sectors. According to a survey of nearly 8,000 firms that Korn Ferry commissioned from Telemetry, a talent data specialist that probes publicly available workforce data, high-performing companies had twice as many AI and machine-learning employees as their low-performing counterparts. “We’re seeing how critical hiring Al talent has already become,” says David Ford, managing director of Telemetry.

Experts say one of best ways for leaders to deal with AI is to make sure others in their firm aren’t feeling the same pressure they’re under. In other words, don’t overload managers of other divisions with AI responsibilities. Dedicate a leader and a team to assess which of the firm’s functions could be positively affected by AI adoption (or directly hurt if a rival adopts AI). Task the team with crafting and implementing an AI strategy, understanding that ultimately its use will be decentralized among employees to use effectively. Key AI roles don’t necessarily have to be permanent, either: Hiring interim talent can bring in the required expertise without a long-term financial commitment.

Smart firms know they need to set up safeguards for the use of AI tools, given concerns both about data privacy and error-prone output. That said, Paul Dinan, an advisory leader in Korn Ferry’s Global Technology Market practice, says the best leaders are finding ways to protect their business while still encouraging their teams to embrace AI and make informed decisions. “Don’t be disappointed in the apparent lack of progress. Change needs a long runway,” Dinan says. It’s advice Ross at Seniors Helpers is actually taking. Instead of immediately demanding that the organization’s 380 franchisee-owned offices adopt the technology to organize caregiver schedules, he’ll test it out at the five locations he directly controls. “Don’t put technology in until it’s ready,” Ross says.

Worldwide spending on AI (estimate)

Source: IDC, Gartner

$200

billion

2024

$154

billion

2023

$118

billion

2022

$85.3

billion

2021

$50

billion

2020

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Get answers to the right

AI questions:

What are the challenges and opportunities? How can AI’s power best be distributed among employees? What are the potential ethical implications?

1 of 3

steps

Getting the Jump on AI

According to one Korn Ferry survey, 82 percent of business leaders say AI will profoundly affect their businesses—they 

just don’t know how yet. What is known 

is that it’s expensive. So how should 

leaders think about this technology?

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