Artificial intelligence is transforming the workplace at a pace few executives could have predicted just a few years ago. While companies race to adopt new tools and automate workflows, the demands placed on leaders are changing just as rapidly.
For Sebastian Scott, CEO of Clera, the shift isn’t primarily about becoming more technical. It’s about becoming better at judgment.
“The leaders who are winning right now are the ones who can look at a person or an idea and make a fast, correct call,” Scott says. “Not the ones who can run a flawless five-year plan.”
According to Scott, leadership has fundamentally evolved over the past two years. Traditional execution management—carefully sequencing roadmaps, managing timelines, and overseeing delivery—has become less valuable as AI dramatically accelerates execution. What hasn’t changed is the need for strong decision-making.
“AI closes a lot of the execution gap,” he explains. “What it doesn’t close is the judgment gap.”
That philosophy extends throughout how Scott approaches running Clera. Rather than treating every business decision with the same level of caution, he categorizes choices into two groups: reversible and irreversible.
For reversible decisions, speed wins.
“Ship it, see what breaks, kill it if it’s wrong,” he says.
Irreversible decisions, however—particularly those involving candidate trust or sensitive company compensation data—receive a much more deliberate process.
“The mistake most founders make is treating every decision like it’s in the second bucket,” Scott says. “Most aren’t.”
It’s an approach that encourages experimentation without sacrificing responsibility, something he believes is essential in a market where technology evolves faster than traditional planning cycles.
While AI has become remarkably capable of analyzing data and generating answers, Scott believes there remains one area where humans continue to hold a significant advantage: asking the right questions.
“We noticed that AI is extremely good at finding answers, providing data and analysis,” he says. “AI is, however, not good at asking the right questions.”
For Scott, curiosity has become a defining characteristic of both leadership and hiring. When interviewing candidates, he pays less attention to polished answers than to the questions applicants ask.
“The questions tell you whether someone’s actually curious or just prepared.”
That emphasis on curiosity is closely tied to another quality Scott values: ownership.
Rather than focusing on titles or credentials, he looks for people who have recently challenged themselves to learn something difficult without being instructed to do so. In his view, companies that hire naturally curious, self-directed people don’t have to force innovation.
“If you hire the right team and set the right environment for it, innovation is welcomed by everyone,” he says.
But fostering innovation doesn’t mean introducing constant disruption.
Scott believes employees can adapt to frequent changes in tools, workflows, and processes—as long as the company’s mission remains consistent.
“What burns people out isn’t change per se,” he says. “It’s not knowing what the north star is.”
That emphasis on clarity also shapes how he communicates as a CEO.
Rather than projecting certainty in every situation, Scott intentionally distinguishes confidence from omniscience.
“I separate conviction about direction from certainty about details,” he explains. “I can be very sure about where we’re headed and completely upfront that I don’t know exactly how we get there.”
He argues that employees aren’t looking for leaders who never make mistakes. Instead, they want leaders who acknowledge mistakes openly when they happen.
Transparency also influences one of Scott’s more unconventional startup beliefs.
Many recruiting experts recommend withholding salary information until late in the hiring process to preserve negotiating leverage. Scott rejects that strategy entirely.
“We built Clera on the opposite bet,” he says. “Put the number on the table first, let both sides decide if it’s worth pursuing before anyone invests weeks in the process.”
While the traditional approach optimizes for leverage, Scott believes salary transparency creates stronger relationships by optimizing for trust, speed, and mutual fit.
That willingness to question conventional wisdom also shapes how he thinks about persistence.
Entrepreneurs are often encouraged to keep pushing through setbacks, but Scott believes resilience requires understanding exactly what’s failing.
If customers still want the underlying outcome but reject the current solution, it’s often time to pivot. If demand remains strong and execution is the issue, persistence makes more sense.
“The mistake is treating every rejection as proof the whole idea is wrong,” he says, “when usually it’s proof the execution needs work.”
Looking back on his entrepreneurial journey, Scott says the biggest lesson wasn’t about fundraising, product development, or hiring—it was about perspective.
“Early on, every setback felt existential,” he recalls. “A lost deal, a bad week, a no from an investor.”
Experience gradually changed that mindset.
“What entrepreneurship taught me is that almost everything is recoverable if you just keep moving and learning.”
That realization made experimentation easier and reduced the fear of making mistakes.
“Once you know a mistake won’t kill you, you experiment more, decide faster, and get better quicker.”
When asked who has influenced his leadership philosophy, Scott doesn’t point to a single mentor. Instead, he credits a collection of experiences, learning as much from ineffective managers as successful ones.
Watching leaders with dramatically different personalities succeed convinced him there is no universal blueprint for leadership.
Ultimately, Scott believes the defining trait of a successful founder is the willingness to continually evolve.
“The way I lead today should look a bit naive to me a year from now,” he says.
In an era where AI continues to reshape how companies operate, Scott sees that mindset—not technical expertise—as the real competitive advantage. The future, he suggests, won’t belong to leaders who always have the answers, but to those willing to ask better questions, make faster decisions, and keep learning long after everyone else believes they’ve figured it out.
