Historical Evolution of Software Engineering
📌 In the 1950s, there were only about 10,000 software programmers in the U.S., who used rudimentary methods like punching cards.
⚙️ Advances like the evolution of compilers and the 1985 release of Turbo Pascal made coding easier, increasing the number of U.S. programmers to about 200,000 by that year.
🌐 By 2010, the global number of software developers surpassed 18 million, driven by the open-source movement and early automation tools.

Impact of AI and Automation on Tech Roles
🤖 Since early 2025, nearly 18,000 tech workers have been replaced by automation technologies, highlighting the difficulty software developers now face in securing jobs.
💻 GitHub Copilot, launched in 2021, generated approximately 40% of the code in the projects where it was used in its first year, signaling AI's role as an active collaborator.
📉 Up to 30% of software development tasks can now be automated by advanced AI, leading companies to reduce the need for junior programmers due to cost savings.

Job Market Polarization and Blue-Collar Shift
💸 The middle tier of white-collar jobs, traditionally filled by young graduates, is disappearing, while advanced technical roles and low-wage service jobs persist.
🏗️ Manual trades like plumbing and construction are becoming more attractive; 4 out of 10 young people with university degrees are opting for blue-collar careers in 2025, as these jobs cannot be easily automated.
📈 Blue-collar wages are seeing significant growth; construction workers saw an 18.4% wage increase through 2032, with plumbers earning up to $99,000 in high-demand areas like California.

Corporate Restructuring and Real Estate Impact
📉 Between January 2022 and June 2025, over 525,000 tech workers were laid off worldwide, as major firms focused on efficiency and cost-cutting post-pandemic overexpansion.
🏢 Tech companies returned more than 30 million square feet of office space in the US since early 2022, leading to high commercial vacancy rates, such as 34% in San Francisco.
💰 The revenue drop for small businesses dependent on tech ecosystems (laundromats, gyms) ranged between 50% and 70% compared to pre-pandemic levels.

Future Outlook and Necessary Adaptations
💡 The decline in entry-level positions (internship offers dropped 34% in tech between 2022 and 2024) threatens the talent pipeline, potentially causing skill shortages within a decade.
📊 Job growth for roles requiring AI experience (Data Science, Software Development) is projected to grow 20% to 30% by 2032, well above the national average of 3%.
🌎 The US tech sector is increasingly looking globally, with 81% of engineering leaders planning to hire overseas talent for cost efficiency and expansion.

Key Points & Insights
➡️ Adaptation is mandatory: The future of software engineers depends on the ability to adapt and work alongside AI, focusing on skills AI cannot replicate, like creativity and innovation.
➡️ Upskill for AI integration: Developers must focus on hybrid skills combining AI interaction/validation with traditional programming; hiring will prioritize quality over quantity and higher technical proficiency (e.g., required interview scores increased by 12%).
➡️ Explore high-demand niches: Fields like cyber security, software architecture, AI ethics, and algorithm supervision remain areas where human expertise is irreplaceable.
➡️ Rethink career paths: Given the automation of cognitive tasks and the stagnation of entry-level office wages (which fell 1.8% in 2024), blue-collar trades represent a viable, debt-free alternative with strong growth prospects.

📸 Video summarized with SummaryTube.com on Jan 06, 2026, 03:24 UTC