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The Future of Work: AI, Skills, & What Leaders Need to Know
As artificial intelligence transforms the workplace, a common concern is emerging among businesses: What skills will define employee success in an AI-driven future? With many companies still unsure how to fully leverage AI, a sense of FOMO, or fear of missing out, is setting in, says Tigran Sloyan CEO of CodeSignal.Sloyan spoke about innovation happening at CodeSignal, an AI focused technical assessment and skills development platform, during a thought leadership spotlight at From Day One’s Silicon Valley conference. “AI is not just a buzz and not just a hype,” Sloyan said. “I strongly believe that AI is one of those transformative technologies, similar to what personal computers did, similar to what the Internet did.”CodeSignal has positioned itself at the intersection of AI advancement and workforce development offering solutions to a world reveling in a technological revolution. The company's platform enables organizations to evaluate current capabilities and build the skills needed for an everchanging AI-integrated workplace.Three Tiers of AI CompetencyRather than pursuing a one-size-fits-all approach to AI skills, Sloyan advocates for understanding the three distinct categories of AI competency that allow for successful integration of its tools.The first and most broadly applicable is simple AI literacy: understanding what AI can do and how to use it in daily work. “This requires pretty much no technical skill or competency,” Sloyan said.The second tier involves integrating AI into existing systems by connecting APIs and implementing new tools to existing operations. While more technical, these skills don’t require deep AI expertise.Only the third category, building and training AI models, demands specialized technical knowledge. Sloyan highlights that many companies often make a strategic error by over emphasizing the importance of this category. With many organizations spending disproportionate resources competing for a small pool of talent rather than focusing on widespread AI literacy, “Hiring AI engineers in today’s market is close to impossible,” Sloyan said. “Upskilling is really the only way to close that skills gap.”From Managing People to Managing AIThe human touch remains essential, especially within leadership roles that will evolve as AI becomes increasingly prevalent in the workplace. Sloyan rejects the notion held by many, that management skills would become obsolete in an AI centric workplace. Instead arguing that directing AI systems will demand many of the same skills needed to lead teams of employees.Sloyan spoke with Brenna Lenoir, SVP of CodeSignal, during the thought leadership spotlight“As a great manager, you bring intelligent people onto your team, you become more effective and you can accomplish more together,” he said. “If you have 50 AI agents working for you, you essentially become a manager of those AIs, but you still need what makes great managers great, which is understanding what the job is.”This perspective challenges the notion that AI will simply replace human work. Instead, Sloyan envisions a future where human expertise becomes even more valuable when amplified through directed AI agents.“Only managers that understand how to do the job themselves, even if they’re not going to have to do it themselves, can know how to ask the right questions, how to ask the right probing questions, as well as evaluate what they got back,” he said.The Future of Technical SkillsRethinking traditional approaches to technical roles with the lens of an AI competent workforce opens unprecedented possibilities for rapid growth within any given company. Sloyan says that AI will transform rather than eliminate the value of technical skills, creating accessibility to capabilities once reserved for specialists. “Three years ago, knowing how to write a simple SQL query would not produce much value,” he said, referring to a database programming language. “Today, if you understand just a little bit about writing a simple query, you can ask AI the right questions and get data within minutes that used to take a highly proficient engineer an hour to produce.”This dynamic creates what Sloyan calls an “exponential increase” in the value of technical knowledge; company-wide modest competence with AI tools can dramatically enhance productivity.For business leaders navigating this workforce transformation, the message is clear: rather than focusing on building expensive learning models or exclusively competing for scarce AI engineering talent, prioritize building a foundation of AI literacy across your organization. In the AI economy, companies with a focus on understanding the technology broadly may prove more valuable than those with a singular or hyper specific approach. Editor’s note: From Day One thanks our partner, CodeSignal, for sponsoring this thought leadership spotlight.Chris O’Keeffe is a freelance writer with experience across industries. As the founder and creative director of OK Creative: The Language Agency, he has led strategy and storytelling for organizations like MIT, Amazon, and Cirque du Soleil, bringing their stories to life through established and emerging media.

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