Our world is changing quickly thanks to artificial intelligence (AI), which is making its way into everything from self-driving cars to face recognition software. Though there’s no denying its potential to make our lives better, there are worries about how it will affect the labour market, especially in the area of coding, which has long been seen as a crucial talent in the tech sector.
This blog explores the current discussion over artificial intelligence’s place in the future of coding and its possible effects on jobs. We’ll examine opposing points of view from prominent figures in the field, examine current developments, and provide guidance on navigating this changing terrain.

Is Coding on the Chopping Block?

Nvidia CEO Jensen Huang recently sparked a controversy by implying that AI may soon render coding obsolete in a statement. In his ideal world, AI-powered tools will become so user-friendly that anybody could write sophisticated systems without any prior programming experience. The conventional perception of coding as a specialist and difficult field contrasts sharply with this democratization of coding abilities. Huang effectively makes the suggestion that AI could take the place of programmers, a notion that has many computer experts shuddering.

Huang’s sentiment is echoed by the renowned former CTO of Oculus VR, John Carmack. He highlights that the fundamental ability is still problem-solving, not the complex syntax of coding languages. Even if having traditional programming abilities may not be the only prerequisite these days, Carmack emphasizes the lasting benefits of the accuracy and discipline that come with learning to code.

The Looming Job Displacement Threat

But not everyone has Huang’s upbeat perspective. Negative images are painted by prominent figures in the industry, such as Infosys Executive Vice President Satish H C. He believes that overall employment would decline in the future because to AI. Companies could become far more efficient thanks to generative AI and other cutting-edge technology, possibly replacing the need for traditional manual coding jobs. This is consistent with wider worries that automation would replace human labour in a variety of areas.

AI’s potential to eliminate jobs is a real worry. According to a McKinsey Global Institute report from 2021, up to 800 million jobs worldwide may be automated by 2030. Even though this may not result in a complete loss of jobs, it does highlight the necessity of adapting and reskilling a workforce that is experiencing substantial change.

A Multifaceted Future: Beyond the Binary

The reality is likely to be more nuanced than a simple “AI replaces coders” narrative. The impact of AI on the job market will likely be multifaceted, creating both challenges and opportunities.

Here are some potential scenarios:

Rise of the “Citizen Coder”: Building simple apps could become more accessible for those without formal programming experience thanks to AI-powered tools. This may cause the number of citizen programmers to soar, enabling them to automate routine operations and free up professional developers to work on more intricate projects.

• Evolving Skillsets: The essentials of problem-solving are still important, but the particular coding abilities needed may change. For developers to properly collaborate with AI tools, they will probably need to adjust and pick up new abilities. Proficiency in fields such as data analysis, machine learning, and user experience design may fall under this category.
• Emergence of New Roles: As AI takes over monotonous coding duties, new positions cantered on overseeing AI tools, analysing AI-generated data, and guaranteeing the moral and responsible application of AI in software development may surface.

Embracing the Change: Preparing for the AI-Powered Future
The main lesson to be learned from this conversation is that humans and AI will probably need to work together to code in the future. The following are some strategies that people and businesses can use to get ready for this changing environment:

For Individuals:

• Focus on Problem-Solving: Sharpen your critical thinking and problem-solving skills. These are core competencies that will remain valuable regardless of how coding evolves.
• Embrace Lifelong Learning: Commit to continuous learning and upskilling. Explore emerging technologies like AI and data science to expand your skillset.
• Develop Soft Skills: Hone your communication, collaboration, and creativity skills. These attributes will be crucial for working effectively alongside AI tools and teams.

For Companies:

• Invest in Reskilling: Provide training and resources for your workforce to adapt to new technologies and develop relevant skillsets.
• Embrace AI as a Partner: View AI as a tool that can augment human capabilities, not replace them.
• Focus on Innovation: Foster a culture of innovation and explore how AI can be leveraged to streamline processes and create new products and services.

The effects of the AI revolution on coding and the labour market are still being felt. The revolution in AI is here. But in this age of transition, people and businesses may not only survive but also prosper by being proactive. Our ability to embrace lifelong learning, cultivate a collaborative mentality, and concentrate on our core strengths will allow humans to stay at the forefront of technological advancement and shape AI’s destiny.