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Artificial intelligence has been around for years, and early adopter companies have been utilizing it to reduce costs and enhance efficiency. The recent surge in the generative AI market has brought it mainstream, making it accessible not only to large companies but also to small businesses. According to studies, over 90% of companies worldwide either use or are exploring the use of AI. As a result, there is considerable concern about the potential impact of AI on American jobs. Despite reservations, many companies appear to be using AI to complement rather than replace workers. An advocate of this delicate balance is AI & workforce expert Khawaja Ali Zubair, who believes that U.S. companies can compete globally, increase efficiency and innovation, all while boosting the economy and promoting more companies right at home.
Much of Zubair’s work involves modernizing core processes within technological spaces and reshaping the architecture that supports companies in long-term growth. He leads enterprise-wide initiatives for AI adoption that help businesses with technological fluency and redesigning workflows more efficiently. This experience is bolstered by his global operational expertise and fellowship experience. He’s also the author of Smashing the Case Interview, a best-selling guide designed to help people kickstart empowering careers.
For decades, a significant amount of operational work has been outsourced to countries with lower labor costs, a model that leads to time zone gaps, slower turnaround times, and limited flexibility when business needs change quickly. However, due to recent advances in AI, companies now have the opportunity to automate high-volume tasks such as data extraction and document processing. This creates space for higher-value roles such as system design and strategic analysis to be offered to workers located in the U.S.
“A lot of the public anxiety around AI comes from the people building it,” Zubair explains. “When tech leaders warn of ‘massive job displacement’ or a ‘total reshaping of the labor market,’ it is no surprise that many workers are bracing for impact. But beneath those headlines, something more hopeful is taking shape, especially in the kind of work I do.” Innovators like Zubair are using AI not to replace humans, but to elevate the type of work they do and make room for more meaningful roles that allow individual creativity and intellect to flourish. This means that rather than expanding teams to pore through data or process invoices manually, companies are investing more heavily in roles that require cross-functional thinking and more refined judgment. Zubair has seen work that was once offshore moved in-house, creating more opportunities close to the business and therefore those who understand it best.
Zubair encourages people who are hesitant to embrace AI to develop greater literacy surrounding it and how it looks within their industry. “Start by understanding that AI isn’t just about writing complex code that runs in billion-dollar data centers,” he emphasizes. “It’s about solving real-world problems that cut across industries and communities. You don’t need to be a machine learning engineer to make a meaningful contribution. What the economy needs right now are translators, people who understand the real problems in healthcare, education, finance, logistics, and government, and can work across disciplines to responsibly apply AI where it matters.” This includes learning how change happens step-by-step and focusing on the small things that bring impact and scale together. It’s also essential to build an economy ethically, supporting everyone in using AI to their advantage rather than allowing it to uplift some while harming others.
Even major organizations can set themselves back by refusing to adapt to changing times and technologies. There is often a tension between what is likely best for the business and what is most comfortable for those within it, and that usually includes technology. Change threatens a sense of ownership that many people develop over the systems they’ve spent years optimizing, and it increases risk. At the same time, that risk is a necessary part of innovation. Zubair’s work demonstrates that when employees are engaged in the process, feel respected, and understand how the changes can benefit them, transformation becomes far less daunting. By focusing on both the ethical integration of AI and the people behind the processes, he is helping U.S. companies future-proof their operations, preserve jobs, and thrive in an increasingly competitive global economy.
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This content is brought to you by Melissa Moraes.
Photo provided by the author.
