AI and technology
Artificial intelligence (AI) skills are quickly becoming a core requirement in the Indian technology job market, with 15% of all technology job postings now mentioning AI capabilities.
by rohan
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4 minute read
Artificial intelligence (AI) skills are quickly becoming a core requirement in India’s technology job marketand 15% of all tech job postings mention AI capabilitiesaccording to the latest information Naukri Jobspeak analysis. share has increased 17x since 2020This reflects how generative AI, machine learning, and automation are reshaping hiring priorities across software development, IT services, product engineering, and global capability centers (GCCs).
The report suggests that AI is no longer limited to the roles of specialists such as machine learning engineers and data scientists. Employers are increasingly seeking AI-skilled professionals across traditional software engineering, cloud computing, cybersecurity, DevOps, product management, and business functions. This trend highlights a broader shift from seeking and hiring for standalone AI expertise to expecting AI literacy as a baseline professional skill.
AI skills will become a mainstream hiring requirement
Demand for AI expertise has accelerated dramatically over the past six years.
| Main highlights | detail |
|---|---|
| report | Naukri Jobspeak |
| References to AI in technology-related jobs | 15% of the list |
| Growth after 2020 | 17x increase |
| tendency | AI skills are becoming mainstream |
| Primary industry | IT services, product companies, GCC, startups |
The findings show that AI capabilities are increasingly being treated as an essential skill in the workplace, rather than a niche specialty.
Why AI skills are in high demand
Companies across industries are integrating AI into their products and internal operations.
The main factors are:
- Rapid adoption of generative AI.
- Enterprise automation initiatives.
- The growth of AI-powered software development.
- Expansion of the Global Capability Center (GCC).
- Increased investment in cloud-based AI platforms.
- Increased demand for productivity tools.
Organizations are looking for employees who can effectively use AI alongside traditional technical expertise, rather than relying solely on traditional programming skills.
Most in-demand AI skills
Recruiters are increasingly looking for candidates with working knowledge of AI.
Popular skills include:
- Rapid engineering.
- Machine learning.
- Large-Scale Language Models (LLM).
- Python programming.
- AI application development.
- data engineering.
- Cloud AI platform.
- Software development using AI.
Employers also value professionals who can integrate AI into existing workflows and business processes, rather than simply building AI models from scratch.
Industries driving AI jobs
| industry | AI adoption trends |
|---|---|
| IT services | Integrating AI across projects |
| product company | AI-native product development |
| GCC | Implementing enterprise AI |
| fintech | intelligent automation |
| health care | AI-powered analysis |
| e-commerce | Personalization and recommendation systems |
As AI becomes embedded across multiple sectors, demand is expanding beyond traditional technology companies.
How AI will change technology jobs
AI is changing the nature of the role of software and technology.
The main changes are:
- More emphasis on AI-assisted coding.
- Shorter software development cycles.
- Growing demand for AI governance.
- The need for cloud and data expertise is growing.
- Increased roles centered around automation.
- Increase in cross-functional AI implementation teams.
Rather than completely replacing developers, AI is increasingly enhancing existing roles by increasing productivity and freeing engineers to focus on higher-value tasks.
Challenges for job seekers
Despite growing demand, candidates face several hurdles.
These include:
- AI tools are rapidly evolving.
- Continuous upskilling requirements.
- Competition for AI-powered roles.
- Keep pace with enterprise AI platforms.
- Balance core programming skills with AI proficiency.
- Demonstrate practical experience with AI projects.
Professionals who continually update their AI skills are expected to enjoy stronger career prospects as employment evolves.
outlook
The proliferation of AI-related requirements across technology jobs shows that artificial intelligence is becoming a foundational skill in the workplace, rather than a specialized ability. As companies accelerate AI adoption, employers increasingly expect software engineers, analysts, cloud professionals, and product teams to understand how AI can improve productivity, automate workflows, and improve customer experiences.
In the future, AI literacy could become as important as the fundamentals of cloud computing and software development. Candidates who combine strong technical expertise with hands-on experience working with AI tools and models will be well-positioned to take advantage of new opportunities in India’s evolving technology job market.
What it means for India’s tech talent
Naukri’s findings highlight structural changes in employment across India’s technology sector. Companies no longer only hire dedicated AI specialists. AI is increasingly expected to play a role in mainstream technology.
For professionals, this means learning AI tools, prompted engineering, machine learning concepts, and AI-assisted development workflows has become essential to long-term career growth. The challenge for employers is to scale AI upskilling efforts to address talent shortages while enabling employees to effectively implement AI across business functions. As AI adoption accelerates, organizations that successfully combine domain expertise and AI capabilities may gain a competitive advantage in the digital economy.
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