Futuristic Careers: Learn what the future holds for your career prospects

From India Today Web Desk: In this fast-moving world, change is the only constant, between a blink and a breath, and to meet the demands of the real world, you have to go faster. The learning scenario has changed a lot over the past decade, as have the expectations of recruiters. With corporate conglomerates running haywire but heavily focused on adopting new technologies, the time has come for fresher concepts.

Now it’s all about futuristic careers. Since terms such as artificial intelligence, robotics, financial technology or FinTech are buzzwords, courses on these terms are also gaining in importance. So, before you continue scrolling down, here’s what you should know about what exactly a futuristic career is?

What is a Futuristic Career?

The above term is often described as a specific set of competencies that prepare the individual to find solutions that may arise in the future and enable them to carry out and carry out the tasks successfully. Futuristic careers are values-based, which improves cognitive skills and is not just motivating and socially relevant. In other words, these careers are based on growing needs, demands and how society will change in the generations to come.

Types of futuristic courses

Artificial intelligence:

Call it AI or artificial intelligence. It is the latest without which the world refuses to move forward. Coupled with machine learning, AI is ubiquitous, from the engineering, automotive, medical, legal, construction, and food industries, artificial intelligence is gaining ground. Some of the latest examples of AI are chatbots, voice assistants, and self-driving cars. A 2017 study by McKinsey suggests that by 2030, a third of all jobs in the world will be AI-based, and once you get that area under control, there are plenty of opportunities.

Top Careers in Artificial Intelligence

Computer Science and Artificial Intelligence Research:

As an AI researcher, you would be responsible for updating AI-based data systems, designing new solutions, curating high-end software, predicting outcomes and impacts, and advising companies on strategies.

Software development:

If you are an IT professional, your role will always remain relevant and analytical as it involves the development of software features for use in machine learning algorithms. It is predicted that trained software professionals in AI would achieve 28 percent higher leverage than their average peers.

data engineer:

It’s all about data now! Complex datasets are generated across various sources including social media, app usage, the web, etc., but they need to be properly processed and interpreted. The job of a big data engineer includes building the entire ecosystem that deals with the efficient processing of AI frameworks of different business areas for better results.

Data Scientist:

Data science integrates various concepts related to statistics, information science and technology to increase business growth, thereby helping the industry to make better decisions. A data scientist analyzes data, recognizes trends and, based on analyses, forecasts the future course of the market.

Natural Language Processing Experts:

The world has a different set of languages ​​- virtual languages ​​that cannot be decoded by the human brain. Certain AI tools do this job by translating virtual languages ​​into natural languages ​​for implementation in chatbots, virtual language assistants, etc., to facilitate communication.

Artificial intelligence in robotics:

Artificial intelligence in robotics is a breakthrough technology that enables interactions and communication between humans and robots for the best performance. Industry already has co-bots that function and mimic humans, and assist in testing and assembly. Robots, even when better integrated into the workforce, can ensure high levels of efficiency.

What is robotics?

Robotics is a sophisticated branch of engineering that deals with the conception, design, construction, operation and application of robots. Robotics are designed to solve bigger challenges that humans can overlook. Artificial intelligence, combined with vision and other sensory technologies, is the first step towards robotics, which is used extensively in the automation, automotive, textile, and food and beverage industries.

The global robot market is expected to reach US$210 billion by 2025 and will grow at a CAGR of around 26% in 2025. Robotics in AI is useful in the following sectors:

health care:

Robots are used in robotic surgery, physical therapy, picking up medication, supplies and laundry, and even performing swab tests.


In industry, robots are super handy to ensure faster production and packaging in the assembly lines, especially in the automotive industry.


As online ordering and delivery becomes a way of life, companies are using robots to stack warehouses, manage inventory, and even ensure short-distance deliveries.

Space Exploration:

Recent advances in space have also been based on robotics. Mars explorers like Sojourner and Perseverance are space probes like Voyager and Cassini, and the Hubble telescope are all robots.


The world is at war on many things and lives are at risk. The intrusion of the service of robots into the military helps to cope with dangerous tasks. Recent innovations like Centaur, an explosives detection/disposal robot that searches for mines and IEDs, the MUTT that follows soldiers around carrying their gear, and Saffire, which fights fires that break out on naval ships, are robots.

Entertainment and Travel:

Robots aren’t just for serious stuff. Toy robots, robot statues, and restaurants serving food with robots are a fast-catching trend. Similarly, robo-cars, driverless vehicles, and autonomous vehicles are all primed to make travel a hassle-free experience by sensing changes in the environment.


FinTech is one of the most challenging and impressive forces being tackled by the mainstream banking and finance sector. The fintech industry, which was worth $5504 in 2019, is projected to grow 24% by 2025. Key technologies that would fall into this category include AI-based customer service, robotic advisors, cryptocurrencies, and more importantly, blockchain technology. Cryptocurrency and blockchain technology have changed the perception of finance in this modern world. If you enjoy learning about finance and are tech-savvy, FinTech is the place for you.

Top careers in FinTech

  • Artificial intelligence and machine learning
  • Data Science and Analysis
  • Blockchain and Cryptocurrencies
  • Reg Tech (Governance, Risk and Compliance with Technology)
  • Internet security
  • Wealth Tech and Robo Advisor
  • Payments/Billing/Money Transfers
  • crowdfunding

For more information, see Directorate of Admissions & Academic Outreach – Amrita Vishwavidyapeetham.