Artificial intelligence is becoming the new reality of the job market. If you are aiming to become a software engineer—or aspire to be one—you should expect that automation and intelligent systems will be an integral part of the workplace by the time you are ready to start your first job. In fact, according to estimates, 60 per cent of current jobs will require significant adaptation due to AI. This means that to remain competitive, you will need more than just critical thinking skills—you will also need digital fluency and a solid understanding of AI. For those already in the workforce, AI will play a crucial role in reinventing careers.
As the job market is rapidly changing and new roles are emerging, here are five key shifts that every software engineer should know about.
Vibe Coding
For years, the process of writing computer programs—also known as coding—was done entirely by humans. But AI is now changing the landscape of software development. Today, it’s possible to write code using only a text prompt, thanks to generative AI tools like ChatGPT.
This marks a major departure from traditional coding methods, where code generation tools were largely structured and domain-specific. The new approach has been referred to as “vibe coding” by Andrej Karpathy, an OpenAI co-founder who previously led AI efforts at Tesla.
With tools like GitHub Copilot or CursorChat, you can input a few prompts and let the AI do the job. (AI-generated image/Gemini)
Vibe coding focuses on the “vibe” of the software rather than the code itself. This means you no longer need to master programming languages or understand complex data structures—a simple natural language prompt can do the trick.
Vibe coding relies on standard patterns in technical language, which AI systems use to assemble original code from their training data. With tools like GitHub Copilot or CursorChat, you can input a few prompts and let the AI do the job.
As vibe coding gains more prominence, it could signal a gradual shift toward using natural language as a viable tool for developing certain types of software. However, don’t expect vibe coding to replace experienced software engineers or developers anytime soon. Still, as AI models continue to improve, vibe coding may further blur the line between AI and human programmers.
Silent layoffs
If you look at what’s currently happening at Silicon Valley’s top tech companies—and even at Indian IT firms—they are no longer announcing sudden layoffs or letting people go abruptly, as they did two years ago. Those high-profile exits often triggered PR disasters and damaged company morale.
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Instead, many companies are now opting for silent layoffs or quiet firing, a more calculated approach where roles are made less desirable—often targeting employees over the age of 40, for example—thereby demotivating them to the point that they choose to resign on their own.
Many companies are now opting for silent layoffs or quiet firing. (AI-generated image/Gemini)
It’s all happening, but without making much noise. This new tactic allows companies to offer severance packages while requesting employees not to disclose the details of their exit. The goal of silent layoffs is to minimise public backlash and avoid drawing negative attention to the company.
Salary correction
Although compensation in tech remains among the highest across industries, salaries for software engineers have stabilised. The days of a gold rush to hire engineers—with exponential pay increases driven by remote work demand and tech hiring booms—are largely over.
Software engineers and data professionals are still in high demand, but salary growth has slowed compared to previous years. In fact, the salary gap between employees who stay in their roles and those who switch jobs has shrunk to its lowest level in 10 years, according to The Wall Street Journal, citing the latest federal data.
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As hiring budgets stall and companies put the brakes on internal “moonshot” projects, the better-than-expected annual salary increase a tech worker can expect has diminished. Even Counteroffers that are still common in tech but are not as aggressive as they were during the hiring frenzy of the past few years. However, top-tier engineers—especially those with expertise in AI or cloud technologies—can still command premium compensation.
The skills that will get you paid more in 2025
The right skills are what you need to stand out from the crowd and land a job—especially when opportunities are limited and competition is sky-high.
To remain competitive, you will need more than just critical thinking skills. (AI-generated image/Gemini)
Simply switching jobs might no longer guarantee a better position as it once did, but having the right skills still can.
AI and Machine Learning – Even if you are not from a computer science background, understanding how AI integrates into workflows is something you should know.
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Cloud and DevOps – Tech companies are paying top dollars if they have an expertise in cloud security, AWS/Azure platforms, and scalable infrastructure.
Cybersecurity and Compliance – With increasing data hacks and changing regulations, security specialists are in high demand and can draw premium salaries.
Data Storytelling and Analytics – Data is the new oil but insights are just as important for running a successful business. If you have a knack for numbers and know how to turn them into actionable strategies, you have a strong chance of succeeding in your career.
Does moving jobs actually lead to a pay rise?
Your career progress often depends on the nature of your new role. fsSome people take a new job for better long-term career opportunities, while others may be motivated by short-term financial gain.
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Whatever option you choose, always consider whether the company offers long-term stability or if it’s hiring aggressively but cutting just as quickly. Also, think about whether the perks and flexibility are worth as much—or even more—than a higher base salary.
