5 Reasons Students Are Pursuing AI/ML Courses in 2026, and How To Pursue It In India

The field of computer science is thriving like no other field especially after the advent of AI and chatbots. Even though this specific area is in the beta stage, the revolution is remarkable. Students across the globe who are career and passion oriented are opting for AI/ML courses. 

Students who previously gravitated towards traditional engineering or finance are now swamping into Artificial Intelligence and Machine Learning programmes in numbers never seen before. It is not a fad that was fueled by hype, but it is a sensible, data-supported career choice. In this article, you'll find the 5 strongest, evidence-based arguments as to why students are today selecting AI/ML as their future major.

Why Are AI/ML Courses Trending?

From explosive salary packages to a job market that is growing 88% year-on-year, here is exactly why the smartest students are betting their futures on Artificial Intelligence and Machine Learning: 

• 88% Growth in AI/ML hiring, year-on-year in 2025
• $157K Median annual salary for AI roles in the US
• 34% Projected job growth for data scientists by 2034 (BLS)

5 Reasons Students are Pursuing AI/ML Courses

1. Booming Job Market

Assuming one number can describe the mood of the 2026 job market, it is this: AI/ML employment increased significantly in 2025 that has left students scurrying to upskill. The overall employment market has not improved with total job posts up by only 6% since the year 2020, as indicated by the Hiring Lab on Indeed, but AI-related postings are currently 134% higher than they were in the year 2020.

According to the projections made by the US Bureau of Labour Statistics, the number of available data scientist jobs will increase by 34% in the period between 2024 and 2034 - approximately four times the growth rate of all occupations. In the meantime, the AI/ML Engineer job had the highest individual growth in Q1 2025, growing 41.8 percent year-over-year by the labour market analysis of Veritone.

For students, choosing a career path with strong job-market fundamentals is highly minimised, which means that students are less likely to lose their jobs once they graduate. One of the few areas where demand will be structurally exceeding supply in 2026 is AI/ML.

1. Higher Salary Compared to Traditional Tech Jobs

Discuss with any student deciding between a typical software engineering trajectory and an AI/ML specialisation, and you are nearly guaranteed to hear the topic of salary mentioned. The difference is huge and increasing. A study reveals that AI/ML positions attract an average salary premium of 12% in comparison with similar non-AI positions on the individual contributor level.

In the case of specialisation, e.g. in Natural Language Processing, Computer Vision or Deep Learning, the income potential increases even more. ML engineers with 6+ years experience are starting at a base salary of $200,000, and their total packages (bonuses, equity) are frequently over 350,000 in the top companies. At the base level, new ML engineers with 0-2 years of experience earn between 95,000-120,000 USD in the US, with freshers in India getting 6-10 LPA, which is two to three times more than the more traditional IT jobs.

1. Brimming Opportunities Everywhere 

The phenomenal versatility of an AI/ML qualification is one of the strongest attractions. The skills in AI/ML are being actively pursued in healthcare, finance, manufacturing, retail, energy, logistics, and even agriculture unlike specialisations which confine you to a single sector. 

In the medical field, ML is used in diagnostics, medical imaging, and monitoring patients. In the financial industry, it spurs credit scoring, algorithmic trading, and fraud detection. Predictive maintenance systems that are based on ML models save companies billions in manufacturing. According to the 2025 Global AI Jobs Barometer, published by PwC, the most exposed industries are almost four times more productive than the least exposed to AI - and employers are recruiting at an unprecedented rate to gain that benefit.

For students, AI/ML has become a portal into all fields, whether you want to be a doctor, climatologist, musician, or a financier. One set of skills opens the door of the whole economy.

1. Futurizing a Career in a Fast-Automating World

Maybe the strongest point in favour of AI/ML courses is a rather dramatic one: the non-AI jobs are being eliminated at an alarming rate. In the meantime, jobs that are routine and prone to automation are reduced by 13% following the introduction of ChatGPT and the demand for analytical, technical, and creative jobs increased by 20% (Harvard Business Review, 2026).

Students are becoming conscious of the fact that choosing an area of study that develops AI over one that will be replaced by AI is the career choice of the decade. The point is clear that AI fluency is quickly becoming a minimum requirement, not an advantage. 

This means, it is not about landing a job today by developing AI/ML skills in 2026 or mastering AI. It is about being positioned on the right side of one of the most profound shifts in economic history.

1. International Demand, Distant Flexibility, and Availability of the best Employers 

AI/ML qualification provides a truly international job market. The leading recruiting firms that are most aggressively seeking AI/ML talent are Apple, Amazon, Google, Microsoft, Tik Tok, JPMorganChase and hundreds of startups that are rapidly growing. Most importantly, 40 percent of all ML jobs today are now available as remote jobs, meaning that graduates in Bengaluru, Lagos, or São Paulo can now compete in Silicon Valley-paid jobs from anywhere in the world.

The median fill time of an AI/ML position is only 40 days, as opposed to much longer in other specialisations; this is an indicator of the urgency with which the companies require this talent. To students aspiring to match pace with the emerging markets particularly, AI/ML provides a unique economic mobility opportunity never seen before, and India is rapidly becoming an AI talent hub due to its growing tech industry and the influx of multinational companies.

Machine Learning and AI have both passed the boundary between theoretical interest and financial support. It is this talent that companies are desperate for, salaries are very much a reminder of that desperation, and the industries requiring it span the entirety of modern life.

How to Pursue AI/ML Courses in India?

The best fit students in this position are those who are well versed with not only the trend, but the field and demand. Aspirants wishing to pursue AI/ML courses in India are required to pass an entrance test, such as JEE, GCSET, or any other. Here is the step-by-step breakdown:

1. Make up your mind, and do the research. 
2. Connect with a mentor or career counsellor. 
3. Take the entrance test 
4. make a choice of your preferred university.
5. pay the admission fee

To conclude, the students who are currently at the stage of choosing their career must ensure they are choosing a life they can match pace with. The field of ai/ml is highly research-based and dynamic, which is not ideal for someone seeking a desk job with monotonous routine and no creative input. Yes, students are choosing these courses but only a handful of them will be able to make it to the top. Because it is not a question of whether AI will creatively and innovatively influence your industry, but rather whether you will be the one who will influence AI.

If you are an aspiring student evaluating your options, you have your answers: there has never been a better time to build expertise in Artificial Intelligence and Machine Learning. So, do your research, watch some videos of experts, and sleep on it, giving yourself enough time to decide whether YOU can be the ideal person for careers in AI/ML.