Over the last ten years, young people all over the world jumped into the world of coding boot camps and degrees in computer science with their heads first, hoping to earn six-figure salaries and have unlimited career chances. Such sites as freeCodeCamp, Udemy, and YouTube tutorials contributed to this mania and made tech seem like the panacea to success. Parents drove children into engineering programs, Instagram influencers continued to sell laptop lives in Bali and governments in places such as India and the U.S. increased STEM programs. However, with layoffs sweeping across big tech companies, such as Google and Meta, and AI assistants like GitHub Copilot automating tedious coding work, some people start to ask themselves: Was this hype a big opportunity or a mirage that left a generation of overqualified and underemployed people?
This coding fever started in the 2010s in the wake of the tech boom. The unicorn boom in the valley of Silicon Valley has generated a story in which anyone can learn to code and get rich. It led to the mushrooming of bootcamps that would charge 12-week crash courses between 10000 and 20000 and do the slick marketing that they would place 8 out of 10. Back home in Chandigarh, India, even the IT centers such as Bangalore experienced a boost in admission in courses dealing with coding, with over 1.5 million students finishing their computer science programs every year, by 2023, according to NASSCOM reports. Social media magnified success stories, but swept the fine print under the carpet: most jobs required not only the use of codes, but also domain knowledge, soft skills and years of experience. This led to a supply-demand binge with the enthusiastic graduates swamping the market at the same time as automation and offshoring began to change the priorities.
The Reality Check: Reality Checks and Layoffs.
Jump to the year 2026 and the dream is breaking. In 2023 alone, Tech layoffs impacted 260,000 workers across the world, and counts are expected to climb but not recover 100,000+ in 2024-2025, with more roster of companies, with numbers continuing to add, Layoffs.fyi. The jobs once available at entry-level that were once in large numbers are now focused more on AI-savvy engineers than on pure coders. The Bureau of Labor Statistics in the U.S. is only estimating 11% growth in software developers by 2032, which is good but by no means the hype of explosion. The chances of Indian grads are even more challenging: web development remains at 20-25 percent unemployment rates as monotonous job tasks are being shifted to an outsourcing company or the care of AI.
This table of average entry-level pay and job creation in common tech careers would visualize the change:
Role Average initial paid (USD, 2025) Projected increase (2022-2032) Risk of automation
| Country | U.S. Advisory Level ​ | Key Reasons for Lesser Impact |
|---|---|---|
| Oman | Reconsider Travel | Stable politics, no direct involvement ​ |
| Cyprus | Reconsider Travel | European ties, away from conflict core |
| UAE | Reconsider Travel | Heavier hits from flights/airspace ​ |
| Saudi Arabia | Reconsider Travel | Proximity risks but ongoing tourism push ​ |
(Statistics generated by BLS, Glassdoor, and Gartner reports) It is worth noticing that specialized roles, such as AI engineering, are billed at higher prices, whereas generic coding positions find themselves at the bottom of the list.
Why the Dream Was Real–And Where It Failed.
The tech evangelists were not entirely misplaced, coding opened doors to millions. Nomadic builders have created apps that have gone viral and companies such as Infosys and TCS recruited in large numbers due to the pandemic digital explosion. But the pitch was hypocritical of universality. A Mark Zuckerberg is not created by all coders, it is a question of time, contacts, and flexibility. Bootcamp provided fundamentals, and often not mentorship and project portfolios to the best firms. In the meantime, increasing living expenses and student debt made the suffering worse: a $15,000 bootcamp loan is devastating when your first salary is only 50,000 in time of inflation.
Culture was a contributing factor. In collectivist cultures such as India, talent was channeled towards IT at the expense of other interests such as design or biology due to the parental pressure. Diversity disparities were still present the world over: women and repressed communities continue to occupy less than 25% of positions in tech, according to McKinsey. The fever was so insensitive to burnout that 12-hour coding marathons caused mental health crises, and 40 percent of developers said they felt exhausted in surveys of Stack Overflow.
Exploring the New Tech Landscape.
So, was it a false dream? No, not one, not very, very nearly. Tech will continue to be essential, enabling all types of healthcare AI to sustainable energy grids. It is swinging towards the hybrid skills: code and business acumen, ethics, or creative problem-solving. Coding democratizers, such as ChatGPT, allow non-coders to prototype at a faster rate and do the same with more time to debug, but do not make people who can architect systems, not debug them.
The youths can take agency control once again by concentrating on evergreen niches such as cybersecurity, blockchain, or quantum computing where the demand exceeds the supply. Education There are low-risk entry points with free courses such as Google certificates by Coursera or India-based Skill India. T-shaped talent is now appreciated by employers: high-tech skills that can be used widely. Certificates are not better than networking through LinkedIn or hackathons. Governments should also do their part, and the policies should combine technology education and incentives on entrepreneurship.
Finally, the coding fever made one important lesson: there is not a single career that can be a lotto win. The development of Tech does not require a hustle once in a lifetime. By combining the real with the tough, the future generation will be able to transform the hype of yesterday into the reality of tomorrow.
FAQs
Q1: Will coding continue to be something useful to learn in 2026?
Yes, but combine it with AI, data, or domain knowledge to have a better chance.
Q2: Which jobs are least automatable to AI?
Such roles as AI ethics specialists, system architects, and cybersecurity professionals.
Q3: What do I do to get into tech with no degree?
Create a GitHub profile, give back to the open source, and attend meetups.
