Artificial intelligence (AI) has shifted from being a temporary trend to a significant reality, influencing various industries by enhancing efficiency and creating new roles. Concerns about its impact on jobs and issues like intellectual property and data privacy remain. AI’s integration into business strategies is now widespread, but its full effect on employment is still uncertain.

AI’s Expanding Role in Business

AI is no longer just a buzzword; it has become essential in sectors like banking, finance, and healthcare. These industries are adopting AI to improve efficiency and customer engagement. According to Wipro CIO Anup Purohit, organisations are using AI to unlock business value by engaging customers and employees innovatively.

The global AI market, valued at around USD 235 billion, is expected to grow significantly by 2028. This growth isn’t limited to tech firms; traditional sectors are also embracing AI. Emerging technologies like quantum computing are set to redefine the AI landscape, according to Tech Mahindra COO Atul Soneja.

Agentic AI: The Future of Autonomous Intelligence

By 2025, agentic AI will become more prevalent as enterprises use it for repetitive tasks. Arun Parameswaran from Salesforce India predicts this era will see AI systems evolving into proactive agents that transform customer engagement and decision-making. These agents will enhance productivity by working collaboratively.

AI agents will significantly improve business processes by boosting efficiency and customer service. This shift towards autonomous intelligence marks a new chapter in AI’s evolution, with businesses customising agents for strategic tasks.

Cloud Computing’s Rise Alongside AI

Cloud computing is gaining momentum alongside AI, with major providers like Amazon Web Services expanding in India. This trend allows businesses to innovate rapidly and adapt to market changes. The Indian public cloud services market is projected to reach USD 24.2 billion by 2028.

Integrating AI with cloud services enables companies to scale models quickly and manage large datasets in real-time. This combination helps businesses innovate swiftly and maintain a competitive edge, according to Purohit.

Upskilling: Essential Amid the AI Boom

As technology evolves, the demand for skilled talent grows. The rapid deployment of AI solutions will create a gap in skilled professionals. Future workers need technical expertise and soft skills like adaptability and communication to leverage AI effectively.

TCS CTO Harrick Vin emphasises the need for continuous adaptation in knowledge work due to AI’s impact. Future roles will require critical thinking, design skills, and creative problem-solving abilities. For tech professionals entering the industry in 2025, learning agility and techno-functional skills will be crucial.

The integration of AI into everyday operations is progressing beyond initial phases into maturity. Organisations aim to seamlessly incorporate AI into their processes, moving past proof-of-concept stages to large-scale execution. This approach focuses on solving real business problems while managing costs effectively.

AI’s influence on job roles across sectors is undeniable. As businesses increasingly rely on AI-driven solutions, there is a critical need for individuals who can bridge technology with business strategy. This shift requires professionals with both technical expertise and strong communication abilities.

The future of work involves redefining practices continually to stay competitive. In software DevOps, for instance, teams will prioritise product requirements analysis over basic scripting skills. Professionals must focus on strategic goal setting and creative problem-solving skills to thrive in this evolving landscape.

As AI continues to reshape industries, its potential seems limitless—from predictive analytics in agriculture to personalised healthcare solutions. The journey towards integrating AI into various sectors is ongoing, with businesses striving for innovation and efficiency through this transformative technology.