American Tech Workers Are Being 'Downgraded'

Introduction: The Fading Halo of Silicon Valley

Not long ago, being an American tech worker meant generous compensation, enviable benefits, and the pride of sitting atop the global innovation chain. However, between 2024 and 2025, a quiet yet profound transformation has been reshaping the industry's workforce landscape. From Meta to Google, from Amazon to Microsoft, waves of mass layoffs have been rolling in one after another. Meanwhile, the rapid advancement of AI technology is accelerating the replacement of traditional tech roles. American tech workers are experiencing a systemic 'downgrade' — one that concerns not just individual fates, but reflects a deeper shift in the power structure of the entire tech industry.

The Layoff Wave Continues: The Harsh Reality Behind the Numbers

According to tracking data from Layoffs.fyi, U.S. tech industry layoffs exceeded 150,000 throughout 2024, and the trend showed no signs of slowing in the first half of 2025. Notably, this round of layoffs is fundamentally different from previous ones — companies are not cutting jobs due to financial difficulties, but are drastically reducing headcount while simultaneously posting record profits.

Take Meta as an example: Zuckerberg publicly defined 2023 as the 'Year of Efficiency,' after which multiple consecutive rounds of layoffs eliminated over 20,000 employees. Google parent company Alphabet laid off thousands of employees in early 2024 while pouring billions of dollars into AI infrastructure development. This strategy of 'cutting people but not investment' sends a clear message: companies are replacing labor expenditure with capital expenditure, and human labor with machine intelligence.

Even more unsettling is that those being laid off are no longer limited to peripheral positions. Senior engineers, mid-level managers, and even technical experts with over a decade of experience have not been spared. Positions at major tech companies, once considered 'iron rice bowls,' have now become precarious.

The AI Replacement Effect: From Assistive Tool to Job Killer

The rise of large language models and AI programming tools is fundamentally changing the workforce demand structure in software development. AI programming assistants such as GitHub Copilot, Cursor, and Devin continue to expand their capability boundaries — evolving from initial code completion to now being able to independently handle module development, code review, and even preliminary system design.

Executives at multiple tech companies have publicly stated that AI is significantly boosting the output efficiency of individual engineers, meaning the number of engineers needed to complete the same workload will be substantially reduced. Salesforce CEO Marc Benioff indicated that the company might stop hiring new software engineers in 2025 due to AI-driven efficiency gains. Klarna's CEO also revealed that AI has replaced the workload equivalent of approximately 700 customer service employees.

This replacement effect exhibits clear hierarchical characteristics:

• Entry-level positions bear the brunt: Beginner-level programming, testing, and basic operations roles are being rapidly replaced by AI tools
• Mid-level positions face compression: Project management, technical documentation, and data analysis — middle-tier roles are being significantly reduced
• Senior positions are not safe either: Even at the architecture design and technical decision-making level, AI-assisted decision tools are eroding the irreplaceability of traditional technical experts

Shrinking Salaries and Loss of Bargaining Power

Accompanying the layoff wave is a significant decline in the overall bargaining power of tech workers. Salary tracking data from Levels.fyi shows that median salaries for multiple technical positions in 2024 declined by 10% to 20% from their 2022 peaks. Once jaw-dropping signing bonuses and stock incentive packages are shrinking, and some companies have even begun eliminating remote work options, requiring employees to return to the office full-time — something almost unimaginable just two years ago.

The supply-demand balance in the labor market has tilted. A flood of laid-off employees has entered the job market, while the number of new positions companies are opening has decreased. According to LinkedIn data, the ratio of job applications to open positions in the U.S. tech industry reached its highest level in recent years in 2024, with competition far exceeding the 'Great Resignation' era during the pandemic.

Meanwhile, ongoing controversies around H-1B visa policies have intensified the anxiety of domestic tech workers. On one hand, tech giants continue to lobby for expanding overseas talent recruitment. On the other hand, the widespread adoption of global remote work has enabled companies to establish R&D centers abroad, hiring equally skilled technical talent at costs far below those in the U.S.

The 'Gig-ification' Trend: From Full-Time Elites to Flexible Labor

A deeper change lies in the transformation of tech workers' identity. An increasing number of tech companies are adopting contractor, outsourcing, and project-based employment models rather than offering traditional full-time positions. This 'gig-ification' trend means:

• Loss of stable health insurance and retirement benefits
• No stock options or other long-term incentives
• A significant decrease in job security
• Career development paths becoming increasingly unclear

It is estimated that the proportion of contractors and temporary workers at major Silicon Valley tech companies has risen from approximately 20% five years ago to nearly 40% today. Google was once reported to have more contractors than full-time employees at one point — these 'second-class citizens' performing similar work but receiving vastly different treatment.

This structural change essentially transfers risk from corporations to individuals. Tech companies gain greater workforce flexibility, while workers bear greater uncertainty.

Deeper Causes: It's Not Just AI

Attributing the 'downgrade' of American tech workers entirely to AI advancement is clearly an oversimplification. Multiple driving forces lie behind this transformation:

Capital market pressure: Wall Street's enthusiasm for the 'high efficiency, low headcount' model drives tech company CEOs to continuously cut labor costs. Every stock price surge following a layoff announcement reinforces this behavioral pattern.

The fading of pandemic-era dividends: The over-hiring of 2020–2021 is being corrected. Many companies blindly expanded during the remote work boom and are now undergoing a painful 'slimming down' process.

Intensifying global competition: The supply of technical talent in India, Eastern Europe, Southeast Asia, and other regions continues to grow, with clear cost advantages. AI tools further level the skill gap, making geographic arbitrage even easier.

Concentration of industry power: A handful of hyperscale tech companies control an increasing share of the market and employment opportunities. This oligopolistic structure inherently disadvantages workers' bargaining power.

Responses and Reflections: Where Do Tech Workers Go from Here?

Facing this 'downgrade' crisis, American tech workers are also exploring ways to respond:

Skill reinvention: An increasing number of engineers are proactively learning AI and machine learning skills, attempting to transform from 'those replaced by AI' to 'those who harness AI.' Emerging skills such as prompt engineering, AI system integration, and model fine-tuning are becoming hot pursuits.

Unionization movements: Unionization efforts in the tech industry are on the rise. From the Alphabet Workers Union to organizing activities at Apple retail stores, tech workers are beginning to recognize the necessity of collective action, though the process still faces significant resistance.

Entrepreneurship and independence: Some seasoned tech professionals are choosing to step outside the big-company system, leveraging AI tools to lower the barriers to entrepreneurship and building products as small teams or even solo developers. The concepts of 'one-person companies' and 'micro-SaaS' are gaining traction.

Policy advocacy: Policy discussions around AI's impact on employment are becoming increasingly active, including demands for transparency in AI usage, retraining support for laid-off workers, and regulatory frameworks for large-scale AI-driven job displacement.