According to People Matters, “How AI agents are changing jobs, leadership and workplace skills: Salesforce decodes,” published on March 10, 2026, companies across industries are adopting Agentic AI systems that can plan and execute tasks independently. Experts say this shift is forcing organisations to redesign roles, leadership structures and workplace skills.
Agentic AI moves from experiments to daily work
For years, companies used automation mainly for routine tasks. Systems processed invoices, sorted requests and answered customer questions. However, Agentic AI introduces a new stage. These systems can reason, plan and complete multi-step tasks with limited human input.
Sugi Venkatesh, SVP of Employee Success at Salesforce South Asia, says the change is structural. Earlier automation handled rule-based work. In contrast, Agentic AI can act across complex workflows.
As a result, organisations now redesign how work happens. Companies no longer adopt AI only as a tool. Instead, they rebuild workflows around humans and digital agents working together.
AI job transformation changes workplace roles
This shift also triggers AI job transformation across industries. Many companies now create roles that barely existed before. For example, organisations hire AI conversation designers, AI architects and deployment strategists.
These roles help integrate Agentic AI into business systems. They also connect AI agents to enterprise data and decision processes.
Consequently, employees increasingly work alongside digital agents. In many cases, they supervise and guide those agents rather than perform routine tasks themselves.
Leadership changes in the Agentic AI era
Leadership responsibilities are also evolving. Managers increasingly oversee teams that include both humans and AI systems.
Therefore, roles now focus more on judgment and oversight. Leaders must monitor what each agent does and how well it performs.
Venkatesh notes that accountability becomes clearer in this environment. Managers must constantly check three things: what the AI agent is doing, whether the outcome is correct, and when human intervention is needed.
Skills required in the age of Agentic AI
Workplace skills are also shifting. Many experts once believed technical skills would dominate the AI era. However, companies now emphasise human capabilities as well.
Adaptability, collaboration and emotional intelligence remain essential. At the same time, employees must develop AI literacy. They need to understand how Agentic AI systems work and when to intervene.
Managers face an even broader challenge. They must guide teams through AI job transformation while also learning how to coordinate human and AI workers.
India’s workforce could benefit
Large digital economies may adapt faster to this transition. India stands out because of its large developer and technology workforce.
IDC estimates cited by Salesforce show that the company’s ecosystem could create about 1.8 million jobs in India by 2028. These roles may emerge as businesses expand their use of Agentic AI systems.
Therefore, automation may remove certain tasks while creating new job categories at the same time.
