Key Points
- AI/ML and analytics are the most in-demand job fields.
- Cybersecurity has moved ahead of cloud jobs in popularity.
- Top roles include Data Scientist, AI/ML Expert, and Cybersecurity Specialist.
- More people are using GenAI tools for coding, content creation, and learning.
- Hybrid work is still common, but more people are returning to the office.
- Gen Z and millennials value brand, learning chances, and work-life balance when choosing a job.
Looma News
As AI use grows in businesses, AI/ML and analytics have become the most in-demand job fields, according to a new report by Nasscom. Cybersecurity roles are now in higher demand than cloud jobs. The top roles being hired for are Data Scientist/Analyst, AI/ML Expert, Cybersecurity Specialist, Cloud Architect/Engineer, and DevOps Engineer.
The report also highlights a big jump in the use of Generative AI (GenAI) tools, which have moved from being experimental to mainstream. A large part of the workforce is using these tools for tasks like coding, programming, and content creation. Many students are also using GenAI to improve their learning, communication skills, and explore AI’s full potential.
The future of work is mostly hybrid, but more companies are seeing people return to the office. The time spent in offices has gone up by 1.2 times, as employees are looking for better team connections, collaboration, and learning opportunities. The report notes that leadership involvement, role-specific needs, and customer expectations are all shaping this change.
Gen Z and millennials still make up most of the tech workforce. When choosing an employer, they focus on things like company values, growth opportunities, job satisfaction, and career development. Work-life balance and job security are also big factors in deciding whether to stay with a company.
Sangeeta Gupta, Senior Vice President and Chief Strategy Officer at Nasscom, said that as the work environment keeps changing, companies need to create flexible policies that can keep up with these shifts in the workforce. Advances in AI and ML are changing the job market, affecting both technical and soft skills.
