Ankita Desai On How AI Is Reshaping The Modern Chief Of Staff Role

For years, the Chief of Staff role was largely associated with internal coordination and executive support. But as AI becomes more deeply embedded into workplace operations, many companies are beginning to redefine the position as a far more strategic and systems-oriented role.

According to Mumbai-based education entrepreneur, academic leader, and operator Ankita Bineet Desai, the shift is changing how organisations think about leadership support functions altogether.

Drawing from more than two decades of experience in academic leadership, mentorship, and institution building, Ankita Bineet Desai approaches operational systems through a strongly human-centered lens shaped by education and behavioural dynamics. In many fast-moving companies, especially AI-first businesses, operators are now expected to design systems that reduce manual coordination instead of simply managing workflows themselves.

“The older version of the role was heavily dependent on process management and communication follow-ups,” she says. “Now the expectation is very different. Companies want operators who can build systems that automate execution, streamline information flow, and improve decision-making speed across teams.”

The shift reflects a broader trend across industries. Recent reports from global consulting firms and technology companies suggest that organisations are rapidly restructuring workflows around AI integration, with leadership teams placing growing importance on automation, operational agility, and workforce redesign.

Ankita’s own professional journey makes her perspective somewhat unusual in the technology space. Before moving into operational leadership, she spent more than two decades teaching Economics across Mumbai colleges and running her independent education practice, Ankita Bineet Desai Classes. Over the years, she has mentored thousands of students while building a coaching institution that grew almost entirely through referrals and long-term student outcomes.

She believes that teaching experience translates more naturally into operational leadership than many people assume. Much of her educational work involved designing scalable learning systems, managing high-performance student environments, and building accountability structures, experiences, she says, closely mirror the demands of modern organisational leadership.

“Running a classroom for twenty years teaches you how to manage people, attention, systems, communication, and accountability under pressure,” she says. “In many ways, it prepares you for operational leadership better than highly structured corporate environments do.”

At FSZT, a US-based AI-native consulting and transformation firm, Ankita Bineet Desai has worked on AI-led internal systems focused on recruitment workflows, candidate screening, operational coordination, and internal process documentation. Her work increasingly focuses on how organisations can combine automation with human judgment, communication clarity, and adaptive decision-making across distributed teams.

Industry observers say this reflects a larger movement happening inside modern organisations. As AI tools become more integrated into daily operations, companies are increasingly looking for leaders who can combine human judgment with automation capabilities.

However, Ankita believes the conversation around AI in operations is still too heavily focused on replacement instead of redesign.

“A lot of people still discuss AI as if it only exists to eliminate jobs,” she says. “But in practice, the bigger shift is that AI changes the kind of work humans spend time on. Operators are spending less time chasing updates and more time thinking about systems, communication quality, and strategic execution.”

She also argues that AI-native organisations are beginning to value adaptability more than conventional corporate pedigrees. In rapidly evolving environments, operational leaders are often required to learn tools, redesign processes, and make decisions in real time rather than rely on established playbooks.

That change may also alter the hiring patterns for future Chief of Staff roles. Traditionally, many companies preferred candidates from consulting, finance, or business strategy backgrounds. But as AI reshapes organisational structures, Ankita believes a wider range of professional experiences could become valuable.

“The future operator will probably look very different from the traditional corporate operator,” she says. “You will see people from education, community building, psychology, and other human-facing professions moving into these roles because understanding human systems is becoming just as important as understanding business systems.”

Even as AI adoption accelerates, she does not believe technology will replace the human side of leadership. Instead, she sees the role of operators becoming more relationship-driven over time.

“The technical side can increasingly be automated,” she says. “What becomes more valuable is judgment, trust, communication, and the ability to align people during uncertainty. Those are still deeply human skills.”

Having spent years mentoring students, building educational ventures, and leading learning-focused environments, Desai sees AI not as a replacement for human capability, but as a tool that allows leaders to focus more deeply on strategic thinking, mentorship, and organisational alignment.

As businesses continue adapting to AI-led transformation, the Chief of Staff role may quietly become one of the clearest examples of how leadership itself is being redefined.