How Top Companies Are Hiring in the AI Era: Key Insights from the HR Roundtable at PW IOI Pune

This question was at the centre of an engaging HR roundtable held at PhysicsWallah Institute of Innovation (PW IOI), Pune. The discussion brought together HR leaders and industry professionals to explore how AI is reshaping recruitment, the skills employers value, and how students can prepare for the evolving job market.

The central message of the discussion was clear: Use AI, but do not let AI replace your ability to think, learn, and solve problems.

1. How AI Is Changing the Way We Build Careers

The traditional approach to building a career has changed significantly over the past decade. Earlier, job seekers often relied on printed resumes, physical applications, and direct visits to company offices. Today, digital platforms, professional networking websites, online learning resources, and AI-powered tools have made career opportunities more accessible.

During the roundtable, HR leaders highlighted how technology has simplified the process of discovering opportunities and connecting with employers. Students can now research companies, learn new skills, build professional profiles, and apply for relevant roles from almost anywhere.

However, easier access to opportunities also means greater competition. Candidates need to demonstrate more than academic qualifications to stand out.

Building a successful career today requires a combination of technical knowledge, practical experience, adaptability, and a willingness to keep learning. Students can strengthen these capabilities by building real-world AI and machine learning projects that demonstrate their ability to solve industry-relevant problems.

2. Use AI as a Tool, Not a Replacement for Your Skills

One of the most important messages from the HR roundtable was the need to use AI strategically.

AI tools can help students prepare presentations, organise information, understand difficult concepts, generate ideas, and improve productivity. However, depending entirely on AI without understanding the underlying concepts can create gaps in knowledge.

For example, a student may use an AI tool to generate a programming solution or prepare an assignment. But if they cannot explain the logic behind the solution, they may struggle when asked to solve a similar problem independently during an interview.

The HR leaders emphasised the importance of developing strong fundamentals before relying heavily on automation.

Students should focus on understanding programming concepts, problem-solving methods, communication, and analytical thinking. AI can support these capabilities, but it should not become a substitute for learning them.

One way to develop these skills is through practical software development projects. Projects such as a URL shortener or a data structures and algorithms platform can help students apply their programming knowledge, understand software development workflows, and demonstrate their technical abilities.

Students should also use AI to verify concepts, explore alternative solutions, and identify errors rather than simply copying generated answers.

3. Why Continuous Learning Is Essential in the AI Era

Technology is evolving rapidly, and the skills required for technical roles can change within a relatively short period. Tools and programming languages that were widely discussed a few years ago may no longer be sufficient on their own to meet current industry requirements.

During the discussion, industry representatives stressed that students should develop a habit of continuous learning instead of assuming that mastering one technology will guarantee long-term career success.

For example, learning Python, Java, or full-stack development can provide a strong starting point. However, candidates must also understand how these technologies fit into modern software development workflows, including AI-assisted coding, automation, cloud computing, and data-driven applications.

Students should build a strong foundation and learn to adapt that knowledge to new technologies. A learning environment that encourages experimentation and practical application can support this process. PW IOI explores this approach through its article on how MacBook-enabled classrooms are changing the way students learn technology.

Students can prepare for changing industry expectations by strengthening computer science fundamentals, practising coding regularly, exploring AI tools, building projects, and following developments in their chosen fields.

The key takeaway is that learning should be an ongoing process, not something that ends after completing a degree or course.

4. How AI Is Transforming Recruitment and Resume Screening

AI is increasingly helping recruiters manage large volumes of applications and identify candidates who meet specific job requirements.

Traditionally, manually screening hundreds of resumes could take several days. During the roundtable, one HR leader shared an example of using an AI tool to summarise approximately 500 CVs in around 90 seconds when provided with suitable criteria and prompts.

This example demonstrated how AI can improve recruitment efficiency by reducing the time required for initial screening.

However, faster screening does not mean that every hiring decision is made by AI. Recruiters still need to evaluate candidates, interpret results, assess suitability, and make decisions that involve human judgement.

The discussion also reinforced that traditional recruitment filters remain relevant. A resume is still an important first impression, and its relevance to the role matters.

Students should ensure that their resumes clearly communicate their qualifications, technical skills, projects, internships, certifications, and achievements. A resume should also be tailored to the position being applied for, with relevant experience easy to identify.

Candidates preparing for recruitment can explore PW IOI career services, from resume building to interview preparation to understand how career guidance, interview practice, and professional preparation can support their transition from education to employment.

AI can help improve resume structure and identify relevant keywords, but students must ensure that every claim reflects their actual abilities.

5. Beyond Academic Marks: What Do Recruiters Look For?

Academic performance remains relevant in recruitment, but it is only one part of a candidate's overall profile.

The HR leaders highlighted the importance of aptitude, interest in the role, practical ability, and the willingness to succeed.

A candidate may have strong academic scores but struggle to apply theoretical knowledge to real-world problems. Another candidate may demonstrate strong problem-solving abilities, relevant projects, and a genuine interest in the role.

Recruiters need to consider these broader indicators when assessing a candidate's suitability.

Important qualities include logical reasoning, technical competence, role alignment, communication, adaptability, and a willingness to learn.

Students can gain a better understanding of how skills and experience translate into career opportunities by exploring PW IOI student placement success stories. These stories offer insights into student journeys across technology, AI, software development, and management-related roles.

The lesson is to build a balanced profile that combines academic knowledge with demonstrable skills and practical experience.

6. Technical Skills and Human Skills Must Work Together

As AI automates more repetitive and routine tasks, the ability to combine technical expertise with human judgement is becoming increasingly important.

AI can process information, generate content, analyse data, and suggest possible solutions. However, people remain responsible for interpreting outputs, evaluating their relevance, making decisions, and understanding their wider implications.

The roundtable highlighted that human intelligence and judgement continue to play a critical role, even in highly technology-driven workplaces.

For example, a developer may use AI to generate code, but they still need to understand whether the code is secure, efficient, maintainable, and suitable for the intended application. Similarly, a data analyst may use AI to identify patterns in a dataset, but interpreting those patterns requires context and critical thinking.

Students interested in applying AI knowledge in professional settings can learn from PW IOI's coverage of AI and LLM career opportunities, which highlights the connection between emerging technologies and industry exposure.

Creativity, communication, collaboration, adaptability, and ethical judgement are equally important. Technical knowledge helps candidates perform tasks, while human skills help them make informed decisions and work effectively with others.

7. Why Students Should Start Career Preparation in the First Year

A significant takeaway from the roundtable was that career preparation should begin early.

Many students start focusing on placements only during their final year or when campus recruitment activities begin. However, waiting until the last few semesters can leave limited time to develop technical skills, build projects, explore career options, and establish professional connections.

Starting in the first year allows students to make gradual progress and discover which areas of technology interest them most.

During the first year, students can focus on programming basics, logical reasoning, communication, and computer science fundamentals. In subsequent years, they can build more advanced projects, pursue internships, collaborate with peers, and practise technical interviews.

The importance of early preparation is reflected in Parv Manglani's journey from internships to a Product and AI Engineer role. His career journey provides a relevant example of how practical exposure can contribute to professional development.

Students should also seek opportunities to work on real-world challenges, participate in technical activities, and gain experience that aligns with their career interests.

Consistent preparation over several semesters is more effective than relying on last-minute placement preparation.

8. Build a Professional Presence on LinkedIn

Technical knowledge alone may not be enough to help students discover suitable opportunities. Developing a professional online presence can also help them connect with recruiters, industry professionals, alumni, and potential employers.

During the roundtable, HR leaders encouraged students to build their professional positioning through platforms such as LinkedIn and other career-focused websites.

A well-maintained profile allows students to present their skills, projects, interests, and achievements in one place.

Students should use a clear professional headline, describe relevant projects, highlight technical skills, share meaningful learning experiences, and connect with professionals working in relevant fields.

For inspiration, students can explore Aditya Gupta's career journey from PW IOI to Ikshan AI. His story provides an example of a student progressing towards a professional role in product development and AI.

Students do not need an extensive list of achievements to begin. A genuine profile that demonstrates curiosity, steady progress, and practical work can provide a useful starting point.

Professional networking should complement skill development, not replace it.

9. AI Literacy: Understanding Its Capabilities and Limitations

Being AI-ready involves more than knowing how to operate an AI application.

During the roundtable, the discussion highlighted the importance of AI literacy: understanding what AI can do, where it may fail, and when human intervention is necessary.

AI-generated information can be inaccurate, incomplete, biased, or unsuitable for a particular situation. Candidates must therefore develop the ability to assess AI outputs rather than relying on them automatically.

For students entering technical careers, AI literacy can include understanding how AI tools support coding, research, data analysis, content generation, and workflow automation.

Students can also learn from real-world experiences shared by peers. For example, Riyanshi Tomar's AI internship experience at PhysicsWallah offers a relevant perspective on gaining practical exposure to AI-related work.

Students should develop the habit of checking whether information is accurate, identifying potential errors, evaluating the suitability of suggested solutions, and recognising when human judgement is required.

These habits can help students use AI responsibly while maintaining the independent thinking skills employers expect.

10. Responsible and Human-Centred AI Adoption

As AI becomes more deeply integrated into education and the workplace, responsible use is essential.

The roundtable emphasised that technology can provide information and generate possible solutions, but people must interpret the results, assess their implications, and decide how to use them.

This is particularly important when AI is used for recruitment, education, data analysis, and business decision-making.

Students should understand that responsible AI use involves more than producing fast results. It also requires accuracy, transparency, awareness of limitations, and respect for privacy.

For example, candidates should avoid sharing confidential company information or personal data with AI tools without appropriate authorisation. They should also verify generated information and follow institutional or workplace policies regarding AI assistance.

Early exposure to workplace expectations can help students connect classroom learning with industry requirements. Roushan Gupta's AI internship journey at PhysicsWallah offers another example of how students can gain industry exposure while developing relevant skills.

A responsible approach allows students to benefit from automation without compromising the quality, integrity, or reliability of their work.

11. The Future of Hiring: What Students Should Remember

The HR roundtable at PW IOI Pune offered several practical lessons for students preparing to enter a technology-driven job market.

First, AI is changing recruitment by making certain processes faster and more efficient, but human judgement remains important. Second, technical fundamentals continue to matter, even as new tools and technologies emerge. Third, employers may assess candidates on a combination of aptitude, role-specific skills, practical experience, communication, and willingness to learn.

Students should also recognise that career preparation begins long before the placement season. Building projects, developing professional connections, learning new technologies, and practising problem-solving can help them prepare for opportunities over time.

Most importantly, AI should be treated as a tool that strengthens human capabilities rather than replaces the need to develop them.