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Is ai going to take any jobs away from coding?
Should we be scared?
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6 answers
Updated
Patrick’s Answer
Arnold, sadly yes. In my opinion, I see that AI is poised to significantly reshape the landscape of software development, and it will inevitably displace certain coding-related jobs. Particularly those centered on repetitive, routine, or lower-complexity tasks. For example, I beleive that entry-level programming roles, such as junior developers focused on boilerplate code, bug fixes, or straightforward script writing, are especially vulnerable. You should know that AI tools like GitHub Copilot, ChatGPT, and other code-generation platforms are already capable of automating many of these functions with increasing speed, accuracy, and scalability. However, this does not mean the end of coding jobs. Instead, you should think of the nature of those jobs would be evolving. From an employer’s perspective, rather than eliminating the profession, AI is elevating the expectations for developers to contribute at a higher level, emphasizing creativity, architectural thinking, problem-solving, and cross-functional collaboration. Arnold developers will need to become proficient not only in writing code but in orchestrating AI-driven development workflows, validating machine-generated outputs, and integrating AI systems responsibly and ethically. In essence, while AI will automate parts of the coding process, it will also create demand for new skill sets and roles, such as AI system trainers, prompt engineers, and human-in-the-loop specialists, ensuring that coding careers remain viable, but transformed.
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Allan’s Answer
AI is set to make software development more efficient by handling simple, repetitive tasks and simplifying complex workflows. This doesn't mean AI will take jobs away; instead, it will shift jobs toward roles that need more thinking and analysis. This shift has been happening for a while, even before AI, with many businesses using no-code or low-code platforms.
For your career, it's a great idea to include some AI or machine learning training and projects on your resume. Focus on solving problems through coding rather than just coding itself. There will always be new and challenging problems to tackle, and your skills will be in demand.
For your career, it's a great idea to include some AI or machine learning training and projects on your resume. Focus on solving problems through coding rather than just coding itself. There will always be new and challenging problems to tackle, and your skills will be in demand.
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Kristin’s Answer
AI is poised to make coding easier by handling routine, predictable tasks, but human programmers are still essential for important roles like governance, oversight, input, review, and refinement. AI is still in its early stages, and many large companies are exploring how to best use it, which means developers will continue to be in high demand for years to come. Just as the internet revolution in the 90s created millions of jobs and changed our way of life and business, AI will also transform our lives and open up exciting new job opportunities.
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Vijay’s Answer
Every new technology or advancement can seem scary at first. Think about how people felt when computers or electronics first came out. AI will change how we work, just like other technologies have. Some simple coding jobs might become less important, but AI is a tool we can use to tackle more complex tasks that still need human input.
Feeling nervous about learning something new can be positive. It can motivate you to learn and change how you work or use it in your daily life.
Feeling nervous about learning something new can be positive. It can motivate you to learn and change how you work or use it in your daily life.
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Michael’s Answer
AI might seem a bit scary because of all the things it can do, but you don't need to worry about jobs because of it. AI brings lots of benefits, and it's important to remember that humans improve AI. We are the ones who make it accurate and efficient.
jobs are relatively safe
Michael recommends the following next steps:
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Bharath’s Answer
1. The Jobs AI Will Take
AI is great at handling simple and repetitive tasks that used to be given to junior developers.
Automating Routine Tasks: AI tools like GitHub Copilot can quickly generate code for common tasks, write basic tests, set up simple APIs, and fix easy errors. These tasks were once a learning step for new coders.
Fewer Entry-Level Jobs: Companies now need fewer new hires for repetitive work because senior developers can use AI to be much more productive. This means fewer entry-level jobs are available.
2. The Jobs AI Cannot Take (And Why)
AI cannot replace human judgment, creativity, and complex problem-solving. This is where your future opportunities are.
Human Skills, System Design, Complex Problems, Context and Strategy, Code Supervision
Don't just learn to code; learn to collaborate with AI.
Use AI Tools: Make AI assistants a key part of your work from the start. Your value will grow by how well you can guide and manage AI to create solutions.
Deepen Your Knowledge: Focus on learning the basics like algorithms, data structures, and system design. These skills are essential for the "architect" role you will grow into.
Think About "Why": Change your focus from "How do I write this function?" to "What is the best way to solve this human problem?"
The future of coding is not about writing every line yourself; it's about becoming a skilled Human-AI Collaborator who guides technology.
AI is great at handling simple and repetitive tasks that used to be given to junior developers.
Automating Routine Tasks: AI tools like GitHub Copilot can quickly generate code for common tasks, write basic tests, set up simple APIs, and fix easy errors. These tasks were once a learning step for new coders.
Fewer Entry-Level Jobs: Companies now need fewer new hires for repetitive work because senior developers can use AI to be much more productive. This means fewer entry-level jobs are available.
2. The Jobs AI Cannot Take (And Why)
AI cannot replace human judgment, creativity, and complex problem-solving. This is where your future opportunities are.
Human Skills, System Design, Complex Problems, Context and Strategy, Code Supervision
Don't just learn to code; learn to collaborate with AI.
Use AI Tools: Make AI assistants a key part of your work from the start. Your value will grow by how well you can guide and manage AI to create solutions.
Deepen Your Knowledge: Focus on learning the basics like algorithms, data structures, and system design. These skills are essential for the "architect" role you will grow into.
Think About "Why": Change your focus from "How do I write this function?" to "What is the best way to solve this human problem?"
The future of coding is not about writing every line yourself; it's about becoming a skilled Human-AI Collaborator who guides technology.