Baker Tilly One India: Redefining Leadership in the Age of AI, Where Talent Meets Opportunity

Artificial intelligence is changing how organizations operate, how professionals develop expertise, and what leadership demands. As technology becomes integral to everyday work, it also presents an opportunity to reconsider how leadership potential is identified, developed, and recognized.

As AI reshapes professional roles and the capabilities required to succeed, organizations have an opportunity to strengthen how they identify and develop leadership potential. This requires creating an environment where individuals can build expertise, take on meaningful responsibilities, and progress based on their capabilities and contributions.

At Baker Tilly One India, we believe opportunities should follow talent and potential, not circumstances or identity. As AI reshapes professional services, this principle becomes increasingly relevant to how organizations develop capabilities, recognize contributions, and prepare future leaders.

How is AI changing leadership expectations?

Technical expertise, experience, and the ability to manage teams remain fundamental to leadership. What is changing is how these capabilities are applied as AI becomes embedded in professional workflows.

In accounting, tax, audit, and advisory services, automation can support research, documentation, data processing, and preliminary analysis. This allows professionals to devote greater attention to interpreting information, understanding client requirements, evaluating risks, and applying professional judgment.

Microsoft’s 2026 Work Trend Index found that 63% of surveyed Indian AI users identified quality control of AI-generated outputs as an important skill, while 59% highlighted critical thinking.

These findings reinforce the importance of going beyond technological familiarity to use AI effectively. Professionals must understand the underlying work, question outputs, recognize limitations, and remain accountable for decisions.

For future leaders, this means combining domain expertise with digital fluency, sound judgment, collaboration, and the ability to guide teams through changing business requirements.

Creating opportunities through capability development

AI can support professional learning by making technical knowledge, research, and analytical tools more accessible. Professionals can use these resources to strengthen their understanding of unfamiliar subjects and prepare for broader responsibilities.

However, capability develops through more than access to information. It requires experience, mentoring, feedback, and opportunities to apply knowledge to real business problems.

An audit professional may use AI-assisted tools to analyze information more efficiently, but identifying the implications of an unusual transaction still requires technical expertise and judgment. Similarly, a tax professional must understand how regulations apply to specific client circumstances while maintaining responsibility for the quality of work delivered.

At Baker Tilly One India, our focus is on building specialized expertise and strengthening capabilities across core professional services. Through continuous learning, practical experience, and meaningful responsibilities, we enable professionals to deepen their technical knowledge and take greater ownership of client engagements.

Connecting learning with practical experience and meaningful responsibility is essential to developing leadership capability.

Ensuring opportunities across the workforce

As AI changes the skills required across professional services, organizations must consider how employees are prepared to adopt new ways of working.

The priority should be to integrate capability development into everyday work rather than treating AI training as a standalone initiative. Learning must be supported by practical experience, clear expectations, and opportunities to apply new skills within core professional responsibilities.

Employees need opportunities to learn new tools, apply them to relevant assignments, and develop the judgment required to use them effectively. Managers play an important role

through guidance, constructive feedback, and opportunities for individuals to demonstrate readiness for greater responsibilities.

Leadership development must also reflect changing expectations. Assessing employees through technical capabilities, problem-solving, accountability, and demonstrated contributions helps align career progression with performance and readiness.

Building responsible and inclusive leadership

AI adoption brings responsibilities that organizations cannot overlook. In professional services, accuracy, confidentiality, accountability, and client trust remain fundamental, regardless of how technology evolves.

As AI becomes embedded in workflows, professionals must evaluate its outputs, understand limitations, and exercise appropriate human oversight. Leaders must establish clear expectations for responsible use while maintaining consistent quality in client delivery.

Equally important is ensuring that professional development remains accessible across the workforce. Inclusion is reflected in everyday decisions about assignments, mentorship, feedback, and opportunities to take responsibility.

Organizations must continually assess whether their talent practices recognize capability and contribution while supporting employees in developing the skills their roles demand.

Rethinking leadership for the future

AI will continue to influence professional services, but technology alone will not define effective leadership. Applying expertise, exercising judgment, developing people, and remaining accountable for outcomes will remain essential.

The opportunity is to strengthen leadership pipelines through continuous learning, meaningful experience, and capability-led progression.

Ultimately, an inclusive workplace is one where opportunities follow talent, and individuals have the support and responsibility to develop, contribute, and lead.