Tata Consultancy Services (TCS) is placing greater emphasis on artificial intelligence (AI) and digital capabilities as it changes its recruitment strategy. Around 80% of its future hires are expected to possess digital and new-age technology skills, while 25% to 30% of recent recruits already have specialised AI expertise, according to company officials quoted by NDTV and the Press Trust of India on October 12, 2026.
The shift comes as TCS expands its AI business and integrates advanced technology into client projects. For graduates seeking entry-level jobs, the development highlights the importance of combining AI knowledge with programming, analytical thinking and practical problem-solving rather than relying only on familiarity with tools such as ChatGPT.
Recent Hiring Reflects the Skills Shift
TCS added approximately 4,500 employees during the July-September quarter of 2026. Chief Operating Officer Arathi Subramanian told PTI that around 25% to 30% of these recruits had specialised AI skills, while nearly 80% belonged to the broader category of new-age technology talent.
The figures distinguish specialised AI expertise from wider digital capabilities. The latter category can include professionals working with modern software platforms, cloud technology, data systems and other advanced technologies, rather than only employees developing AI models.
The company’s recruitment direction reflects changing client requirements across the technology services industry. Businesses increasingly want technology partners that can introduce AI into existing operations, improve productivity and deliver measurable business results.
Why ChatGPT Knowledge Alone May Not Be Enough
Using a generative AI tool can help employees draft content, write code, summarise information and complete routine tasks. However, organisations also need workers who can assess the accuracy of AI-generated results, understand the business problem and determine whether a proposed solution is reliable.
Nikhar Arora, director and builder of Bots.ai by HR Anexi, told NDTV that widespread AI usage does not necessarily mean that organisations have developed the capabilities required to use the technology effectively. He said, ‘Usage went up. Capability did not. Those are not the same number,’ highlighting the difference between using AI tools and applying them successfully in business operations.
For entry-level candidates, this means learning how AI systems work and understanding their limitations. Employers may value applicants who can test outputs, identify errors, protect sensitive information and explain how AI can support a specific task.
Technical Skills That Can Improve Job Prospects
Programming remains important for many AI-related technology positions. Python is widely used in data analysis and machine learning, while knowledge of SQL, databases, APIs and software development can help graduates build applications that connect AI models with existing systems.
Machine learning fundamentals can prepare candidates to understand how models are trained, evaluated and used for predictions. Data preparation, statistical reasoning and model testing are also relevant to roles involving AI development and analytics.
Cloud computing, cybersecurity and application integration can provide additional career options. Companies need professionals who can deploy software, manage access to information, monitor systems and maintain reliable applications as AI adoption expands.
Not every role requires advanced machine learning research. Some entry-level opportunities focus on software development, quality assurance, data operations, AI application support or integrating existing models into business workflows.
TCS Expands Its AI Business
The recruitment shift is taking place as AI-related work becomes a more significant part of TCS’s business. According to Reuters reporting on the company’s September-quarter results, annualised AI revenue reached approximately $3.1 billion, up from $2.6 billion in the previous quarter.
NDTV reported that AI-related business accounted for about 10% of TCS revenue in the September quarter. Company leadership has indicated that larger AI engagements could support profitability as projects expand in scale.
TCS reported total contract value of $9.6 billion for the September quarter. Chief Executive Officer K. Krithivasan said the company takes a conservative approach when classifying contracts as AI deals, noting that AI is becoming part of a broad range of client engagements.
The company is seeking to translate this demand into projects involving AI implementation, business process transformation and technology modernisation. These activities can require a mix of software engineers, data specialists, consultants and professionals who understand particular industries.
What Fresh Graduates Should Prepare For
Candidates preparing for TCS recruitment can strengthen their profiles by developing a sound understanding of programming, databases, software engineering and data analysis. Those interested in AI-specific roles can add machine learning fundamentals, generative AI applications and model evaluation to their learning plans.
Practical projects can help demonstrate these skills. Examples include developing a chatbot connected to verified information, building a data analysis application or testing an AI-powered tool for accuracy and reliability.
Applicants should be prepared to explain the decisions behind their projects, including how they selected their tools, tested results and addressed limitations. Employers may assess these abilities through technical interviews, coding tests, project discussions and other recruitment exercises.
Communication and teamwork remain important because technology professionals often work with clients and colleagues who do not have specialised AI knowledge. The ability to explain technical concepts clearly can help candidates contribute to projects that involve several business functions.
AI Skills Do Not Guarantee Recruitment
Although TCS is increasing its emphasis on digital and AI capabilities, the reported 80% figure does not mean that 80% of its hires will be specialised AI engineers. The company’s figures include a broader group of employees with new-age technology skills.
Recruitment decisions will continue to depend on business demand, available vacancies, qualifications and candidates’ performance in selection processes. Graduates should review the requirements for individual positions instead of assuming that a single AI course or certification will guarantee employment.
The wider IT sector is also experiencing uneven hiring conditions as companies balance investment in new technology against pressure to control costs. AI adoption may create new roles while changing or reducing the need for some routine tasks.
Recruitment Strategy Continues to Evolve
TCS’s latest hiring figures show how a major Indian IT services company is adjusting its workforce to changing technology requirements. The emphasis on digital and AI capabilities reflects demand for employees who can help implement technology and support more complex client projects.
For fresh graduates, the emerging expectation is to combine familiarity with AI tools with strong technical foundations, practical experience and the ability to evaluate results. The company’s reported recruitment strategy points to a wider change in entry-level hiring as AI becomes more integrated into everyday technology work.
As of October 14, 2026, TCS has indicated that digital and AI-related capabilities will remain central to its hiring direction. The exact skills required will depend on individual job openings and the projects for which candidates are recruited.