CEOs Face More Accountability When a Board Member Has Military Experience
New study finds that CEOs are more likely to be fired for company underperformance if a director has served in the military.
New study finds that CEOs are more likely to be fired for company underperformance if a director has served in the military.
Chief executives at poorly performing companies are more likely to be fired if at least one of the company’s board members has a military background.
The odds of dismissal for underperformance are even higher if multiple directors on the board have served in the military, according to a recently published study.
The researchers behind the study analyzed 865 publicly listed companies in the U.S. between 2010 and 2020, identifying companies with board members who had served in either the U.S. Army, Navy, Marine Corps, Air Force, National Guard or a foreign equivalent. A little more than a quarter of the companies in the sample had such a board member.
The researchers then measured company performance by looking at return on assets, a metric often used to determine how efficiently organizations are using their assets to generate profits.
Across the entire sample, about 2.1% of CEOs were fired when their company was underperforming its peers—that is, its return on assets was two standard deviations from the industry mean. Having a military director on the board raised the dismissal probability to 2.9% compared with companies that had no directors with military experience, two directors increased it to 3.9% and three directors amplified it to 5.2%, the researchers found.
“When firm performance falls below the 20th percentile in an industry, the influence of military directors on CEO dismissal becomes noticeable,” says Stevo Pavicevic , an associate professor at Frankfurt School of Finance and Management in Germany and one of the study’s authors.
To better understand their findings, the researchers interviewed 20 corporate directors with military backgrounds. In the interviews, the researchers found that these board members often place a high premium on personal accountability. “It’s part of the discipline we grew up with in the military,” said one of the directors they interviewed.
The interviews suggest this focus on personal accountability translates into concrete action, such as being more inclined to conduct formal CEO evaluations and blame company-performance shortfalls on the CEO. “It seems that directors with military backgrounds have a different approach to accountability,” says Pavicevic.
In another part of the paper, the researchers explored whether their initial findings would hold up if a CEO were entrenched in the company, meaning the executive had a long tenure, held a lot of stock or also served as board chairman.
They found that CEOs were still more likely to be dismissed for poor performance even when they had long tenures or held a lot of stock when a member of the board had a military background. However, in cases where the CEO was also chairman, the relationship disappeared. Those CEOs weren’t more likely to be dismissed if a member of the board had military experience.
“Being both the CEO and chairman of the board gives the executive a very powerful position and even with the presence of military directors on the board, dismissals won’t be that easy,” says Pavicevic.
A divide has opened in the tech job market between those with artificial-intelligence skills and everyone else.
A 30-metre masterpiece unveiled in Monaco brings Lamborghini’s supercar drama to the high seas, powered by 7,600 horsepower and unmistakable Italian design.
A divide has opened in the tech job market between those with artificial-intelligence skills and everyone else.
There has rarely, if ever, been so much tech talent available in the job market. Yet many tech companies say good help is hard to find.
What gives?
U.S. colleges more than doubled the number of computer-science degrees awarded from 2013 to 2022, according to federal data. Then came round after round of layoffs at Google, Meta, Amazon, and others.
The Bureau of Labor Statistics predicts businesses will employ 6% fewer computer programmers in 2034 than they did last year.
All of this should, in theory, mean there is an ample supply of eager, capable engineers ready for hire.
But in their feverish pursuit of artificial-intelligence supremacy, employers say there aren’t enough people with the most in-demand skills. The few perceived as AI savants can command multimillion-dollar pay packages. On a second tier of AI savvy, workers can rake in close to $1 million a year .
Landing a job is tough for most everyone else.
Frustrated job seekers contend businesses could expand the AI talent pipeline with a little imagination. The argument is companies should accept that relatively few people have AI-specific experience because the technology is so new. They ought to focus on identifying candidates with transferable skills and let those people learn on the job.
Often, though, companies seem to hold out for dream candidates with deep backgrounds in machine learning. Many AI-related roles go unfilled for weeks or months—or get taken off job boards only to be reposted soon after.
It is difficult to define what makes an AI all-star, but I’m sorry to report that it’s probably not whatever you’re doing.
Maybe you’re learning how to work more efficiently with the aid of ChatGPT and its robotic brethren. Perhaps you’re taking one of those innumerable AI certificate courses.
You might as well be playing pickup basketball at your local YMCA in hopes of being signed by the Los Angeles Lakers. The AI minds that companies truly covet are almost as rare as professional athletes.
“We’re talking about hundreds of people in the world, at the most,” says Cristóbal Valenzuela, chief executive of Runway, which makes AI image and video tools.
He describes it like this: Picture an AI model as a machine with 1,000 dials. The goal is to train the machine to detect patterns and predict outcomes. To do this, you have to feed it reams of data and know which dials to adjust—and by how much.
The universe of people with the right touch is confined to those with uncanny intuition, genius-level smarts or the foresight (possibly luck) to go into AI many years ago, before it was all the rage.
As a venture-backed startup with about 120 employees, Runway doesn’t necessarily vie with Silicon Valley giants for the AI job market’s version of LeBron James. But when I spoke with Valenzuela recently, his company was advertising base salaries of up to $440,000 for an engineering manager and $490,000 for a director of machine learning.
A job listing like one of these might attract 2,000 applicants in a week, Valenzuela says, and there is a decent chance he won’t pick any of them. A lot of people who claim to be AI literate merely produce “workslop”—generic, low-quality material. He spends a lot of time reading academic journals and browsing GitHub portfolios, and recruiting people whose work impresses him.
In addition to an uncommon skill set, companies trying to win in the hypercompetitive AI arena are scouting for commitment bordering on fanaticism .
Daniel Park is seeking three new members for his nine-person startup. He says he will wait a year or longer if that’s what it takes to fill roles with advertised base salaries of up to $500,000.
He’s looking for “prodigies” willing to work seven days a week. Much of the team lives together in a six-bedroom house in San Francisco.
If this sounds like a lonely existence, Park’s team members may be able to solve their own problem. His company, Pickle, aims to develop personalised AI companions akin to Tony Stark’s Jarvis in “Iron Man.”
James Strawn wasn’t an AI early adopter, and the father of two teenagers doesn’t want to sacrifice his personal life for a job. He is beginning to wonder whether there is still a place for people like him in the tech sector.
He was laid off over the summer after 25 years at Adobe , where he was a senior software quality-assurance engineer. Strawn, 55, started as a contractor and recalls his hiring as a leap of faith by the company.
He had been an artist and graphic designer. The managers who interviewed him figured he could use that background to help make Illustrator and other Adobe software more user-friendly.
Looking for work now, he doesn’t see the same willingness by companies to take a chance on someone whose résumé isn’t a perfect match to the job description. He’s had one interview since his layoff.
“I always thought my years of experience at a high-profile company would at least be enough to get me interviews where I could explain how I could contribute,” says Strawn, who is taking foundational AI courses. “It’s just not like that.”
The trouble for people starting out in AI—whether recent grads or job switchers like Strawn—is that companies see them as a dime a dozen.
“There’s this AI arms race, and the fact of the matter is entry-level people aren’t going to help you win it,” says Matt Massucci, CEO of the tech recruiting firm Hirewell. “There’s this concept of the 10x engineer—the one engineer who can do the work of 10. That’s what companies are really leaning into and paying for.”
He adds that companies can automate some low-level engineering tasks, which frees up more money to throw at high-end talent.
It’s a dynamic that creates a few handsomely paid haves and a lot more have-nots.
BMW has unveiled the Neue Klasse in Munich, marking its biggest investment to date and a new era of electrification, digitalisation and sustainable design.
A bold new era for Australian luxury: MAISON de SABRÉ launches The Palais, a flagship handbag eight years in the making.