Your Cart
Loading

Gen Z Amid the 2025 Tech Layoffs Wave: AI & Unemployment

In the first half of 2025, the global tech industry recorded 80,845 positions cut across 176 companies, marking the largest tech-layoff wave, according to Reuters. Gen Z, the youngest cohort in the workforce-faces a double squeeze as AI increasingly replaces basic tasks and the internship-to-hire model becomes less reliable. As Google, Meta, and Microsoft prioritize AI R&D over entry-level hiring, the question “How will Gen Z adapt?” is more urgent than ever.

The Tech Layoff Landscape

As of 06/30/2025, Layoffs.fyi data shows 80,845 tech layoffs at 176 companies (Reuters). In Q1:

  • Microsoft cut 6,000 roles in legacy divisions to reinvest in AI and cloud (The Times of India).
  • Intel announced a 20% workforce reduction-about 21,000 employees (Business Insider).
  • Indeed cut 1,300 roles in Q3/2025 (Yahoo Finance).
  • In Vietnam, FPT and TMA Solutions trimmed AI teams to optimize costs. Result: the unemployment rate for tech workers aged 20-30 rose by 2.8 percentage points year-over-year (Reuters).

Impact on Gen Z

  • Overall picture: Gen Z (born 1997-2012) accounts for 35% of entry-level hires but 45% of layoffs (Reuters).
  • Primary pressures: AI automates support tasks and basic scripting; macro headwinds push companies to tighten costs.
  • Hiring demand: Entry-level hiring is down >50% vs. 2019 (SignalFire; informationweek.com).
  • Affected hubs: Silicon Valley, New York, London, Bangalore, and Ho Chi Minh City.
  • Layoff cycle: Began in Q4/2024, peaked in Q1–Q2/2025.

Coping strategies

  • Enroll in courses on AI, ML Ops, and cloud computing.
  • Embrace the gig economy, freelancing, and remote project work.
  • Join DevRel communities and intensive bootcamps.

The Role of AI & Macroeconomic Shifts

Investment in AI is increasingly prioritized over hiring. Fortune reports >$10B flowing into AI R&D each quarter (theHRdigest.com). Goldman Sachs projects the global AI market will reach $1.2 trillion in 2025. Amid high inflation and interest rates, “AI-first” strategies push CEOs to shift resources from human capital to algorithmic capital, accelerating automation.

Large-Company Case Studies

  • Google: Cut 200 roles in its global business unit in May 2025 to restructure and expand AI/data centers (Reuters).
  • Meta: Laid off 5% of “lowest performers” (~4,000 people) in early 2025 while ramping up hiring for ML engineers (Reuters).
  • Microsoft: Reduced 6,000 roles in Q1/2025 and recruited 24 DeepMind researchers for Copilot (The Times of India).

These moves underscore why Gen Z must adapt to AI-first teams.

Outlook & Recommendations

  • Job (re)creation: TechCrunch expects 20% of new roles to emerge in data analysis and AI ethics thanks to AI.

For Gen Z

  • Broaden skills: AI, data science, project management.
  • Network proactively: Hackathons, mentorship programs.

For employers

  • Reskill internally with AWS re/Start (07/10/2025) and Google Career Certificates (07/10/2025).
  • Maintain internships to preserve the talent pipeline.


The 2025 tech layoff wave is a chance for Gen Z and companies to reposition capabilities: AI will create new jobs-but for those who proactively learn and adapt. Start your upskilling journey today to capture opportunities in the AI era!




Gen Z trước làn sóng sa thải ngành công nghệ 2025: AI & thất nghiệp

Nửa đầu 2025, ngành công nghệ toàn cầu ghi nhận 80.845 vị trí bị cắt giảm, trải qua 176 công ty khác nhau, tạo nên đợt thất nghiệp công nghệ lớn nhất Reuters. Gen Z - nhóm lao động trẻ tuổi - phải đối mặt với áp lực kép khi AI ngày càng thay thế các công việc cơ bản và mô hình học-việc (internship-to-hire) không còn chắc chắn. Khi Google, Meta hay Microsoft ưu tiên R&D AI thay vì tuyển dụng entry-level, câu hỏi “Gen Z sẽ thích nghi ra sao?” trở nên cấp thiết.

Thực trạng sa thải ngành công nghệ

Tính đến 30/06/2025, dữ liệu Layoffs.fyi cho thấy 80.845 tech layoffs tại 176 công ty Reuters. Trong quý 1, Microsoft cắt 6.000 vị trí tại các bộ phận truyền thống để tái đầu tư AI và cloud The Times of India; Intel công bố giảm 20% lực lượng ước khoảng 21.000 nhân sự Business Insider; Indeed giảm 1.300 vị trí vào Q3/2025 Yahoo Finance. Ở Việt Nam, FPT và TMA Solutions thu hẹp đội AI để tối ưu chi phí. Kết quả: tỷ lệ thất nghiệp tech nhóm 20-30 tuổi tăng 2,8 điểm % so với cùng kỳ 2024 Reuters.

Tác động đến Gen Z

  • Bức tranh tổng quan: Gen Z (sinh 1997-2012) chiếm 35% tuyển entry-level nhưng chịu 45% tỷ lệ sa thải Reuters.
  • Áp lực chính: AI tự động hóa các tác vụ support và scripting căn bản; khủng hoảng kinh tế buộc doanh nghiệp siết chi phí.
  • Nhu cầu tuyển dụng: Theo SignalFire, tuyển entry-level giảm >50% so với 2019 informationweek.com.
  • Khu vực bị ảnh hưởng: Silicon Valley, New York, London, Bangalore, và TP.HCM.
  • Chu kỳ sa thải: Bắt đầu Q4/2024, đạt đỉnh Q1-Q2/2025.
  • Ứng phó:
  • Tham gia khoá học AI, ML Ops, cloud computing.
  • Chấp nhận gig economy, freelance, dự án remote.
  • Tham gia cộng đồng DevRel, bootcamp chuyên sâu.

Vai trò AI & biến động kinh tế

Đầu tư vào AI ngày càng ưu tiên hơn tuyển dụng. Fortune ghi nhận >10 tỷ USD đổ vào R&D AI mỗi quý thehrdigest.com. Goldman Sachs dự báo thị trường AI toàn cầu đạt 1,2 nghìn tỷ USD năm 2025 . Khi lạm phát và lãi suất cao, chiến lược “AI-first” buộc các CEO chuyển nguồn lực từ human capital sang algorithmic capital, đẩy nhanh quá trình tự động hóa.

Case Study doanh nghiệp lớn

  • Google: Đã cắt 200 vị trí trong global business unit hồi tháng 5/2025 để tái cơ cấu và mở rộng AI/data centers Reuters.
  • Meta: Sa thải 5% “lowest performers” (~4.000 người) đầu 2025, đồng thời đẩy mạnh tuyển ML engineers Reuters.
  • Microsoft: Giảm 6.000 nhân sự trong Q1/2025 và chiêu mộ 24 nhà nghiên cứu từ DeepMind cho Copilot The Times of India.

Những điều chỉnh này nhấn mạnh yêu cầu Gen Z phải thích nghi với mô hình “AI-first teams”.

Dự báo & khuyến nghị

  • Tái tạo việc làm: TechCrunch kỳ vọng 20% công việc mới trong data analysis và AI ethics sẽ xuất hiện nhờ AI .
  • Cho Gen Z:
  • Đa dạng kỹ năng: AI, data science, project management.
  • Chủ động network: tham gia hackathon, mentorship programs.
  • Cho doanh nghiệp:
  • Reskilling nội bộ với AWS re/Start (10/07/2025) và Google Career Certificates (10/07/2025).
  • Duy trì internship để đảm bảo talent pipeline.

Làn sóng sa thải tech 2025 là cơ hội để Gen Z và doanh nghiệp tái định vị năng lực: AI sẽ tạo ra việc làm mới, nhưng chỉ dành cho những ai chủ động học hỏi và thích ứng. Hãy bắt đầu hành trình upskill ngay hôm nay để không bỏ lỡ cơ hội trong “kỷ nguyên AI”!


Source / Nguồn tham khảo:


  1. Layoffs.fyi (30/06/2025): https://layoffs.fyi/ Reuters
  2. Business Insider (06/2025): https://www.businessinsider.com/unemployment-gen-z-tech-workers-ai-2025 Reuters
  3. Yahoo Finance (16/07/2025): https://finance.yahoo.com/news/tech-layoffs-2025-microsoft-google-183518291.html - Yahoo Finance
  4. Times of India (05/2025): https://timesofindia.indiatimes.com/technology/tech-news/layoffs-in-2025-google-microsoft-intel-in-284-technology-companies-that-cut-jobs-in-first-5-months-of-the-year/articleshow/121646617.cms   - The Times of India
  5. SignalFire (01/07/2025): https://www.signalfire.com/report-entry-level-hiring-drop-50 - informationweek.com
  6. Fortune (06/2025): “Tech layoffs vs. AI investment” https://fortune.com/2025/06/ai-investments-vs-layoffs-tech/ thehrdigest.com
  7. Reuters (07/05/2025): Google cuts 200 jobs https://www.reuters.com/technology/google-cuts-about-200-staff-global-business-unit-information-reports-2025-05-07/  Reuters
  8. Reuters (14/01/2025): Meta trims 5% lowest performers https://www.reuters.com/technology/meta-lay-off-5-lowest-performers-plans-hire-impacted-roles-2025-01-14 Reuters


Blog Posts

AI in Customer Service: Measurable ROI, Faster Onboarding
Many executives are asking a practical question: Does generative AI deliver improvements that are truly measurable in customer service, and where should we begin for the clearest ROI? Based on the CLAIMS_FINAL set, the answer leans toward “yes,” wit...
Read More
Light Touch, Big Uptake Evidence-Based HITL Design
Across many operational workflows, users often lose confidence in a model after witnessing a visible error, even when the model is generally more accurate than humans. A 2018 study in Management Science surfaces a simple, effective intervention: all...
Read More
AI at Work: +14% Productivity, Bigger Gains for Newcomers
Over the past two years, field evidence and randomized experiments have moved the debate from “replacement versus complement” to actionable guidance for managers. The clearest picture is an uplift in productivity within process-driven service enviro...
Read More
AI Act & AI Literacy
The EU AI Act entered into force on 1 August 2024 and begins phased application from 2 February 2025, establishing a clear legal baseline for AI activities connected to the EU market. Within that framework, AI literacy in Article 4 is the operationa...
Read More
AI, jobs, and productivity: evidence for safer deployment
Public debate around AI often swings between anxiety about job loss and optimism about a productivity boom. Together, they outline the scale of job exposure at the macro level, real-world productivity gains where AI is already embedded, and the limi...
Read More
The Perception Gap on AI: What the Public and Experts Really Think
Public debates about artificial intelligence often collide with a stubborn “perception gap”: the general public remains cautious while AI experts are notably more optimistic. This article lays out a balanced view across emotions, personal benefit, l...
Read More
AI in 2025: the race for capability, energy, and compliance
2025 is a hinge year for artificial intelligence: the field has moved from promising pilots to a full-spectrum race across capability, infrastructure, and governance. On the technology front, frontier models are pushing multimodal reasoning while re...
Read More
AI 2025: Converging performance, surging capital - deploy to reduce uncertainty
The 2025 AI landscape mixes accelerating technical progress with rising social sensitivity. Evidence shows the performance gap between open- and closed-weight models is narrowing, while benchmark scores jump markedly and investment pivots from exper...
Read More
Why We Fear AI - and How to Untie the Knot
Fear of being “replaced” by AI rarely begins with chips, models, or benchmarks, but with human cognition. When we meet the unknown and uncertainty, we naturally overrate risk and choose avoidance to regain control. Psychology, behavioral economics, ...
Read More
Meta restructures AI: four groups under MSL, Wang to helm TBD Labs
Meta is entering a new organizational cycle for AI as Meta Superintelligence Labs (MSL) is restructured into four clearly defined groups. This change, corroborated by a chain of sources during the week of Aug 15-19, reflects a push to tighten execut...
Read More
Grok’s internal “prompts” exposed: operational lessons & AI risk governance for enterprises
Almost overnight, Grok’s (xAI) website exposed its system prompts-the “foundational instructions” that determine how AI personas behave-from “Crazy Conspiracist” to “Unhinged Comedian.” TechCrunch confirmed the incident, first reported by 404 Media;...
Read More
“Maternal Instinct” for AI: A Pragmatic Path After the Warning at AI4
 Amid the wave of AI safety discussions in mid-2025, Geoffrey Hinton sounded another alarm: the systems he and the community have built could soon outsmart humans and seek ways to disable control mechanisms. At AI4 in Las Vegas, he proposed a shift ...
Read More
Imagen 4 enters GA in the Gemini API: Operational implications for enterprises and training teams
Google has moved the entire Imagen 4 image-generation family to General Availability (GA) in the Gemini API and Google AI Studio, and simultaneously launched the Imagen 4 Fast variant focused on speed. The official post on the Google Developers Blog...
Read More
Biodegradable Packaging Film in 17 Days from Grape Waste: A New Opportunity for Green Production Leaders
 Pressure to reduce single-use plastics is mounting. A new study from South Dakota State University (SDSU) shows that waste from grape vines can be transformed into a transparent, durable, and fast-degrading packaging film. This cellulose-based...
Read More
Musk, OpenAI, and Apple: a new risk map for tech leaders
As consumer AI surges, a California ruling and Elon Musk’s threat to sue Apple have escalated the platform race. This article provides a practical and critical update for executives, examining the legal showdown between Musk and OpenAI, the App Stor...
Read More
AI and Supercomputing: Innovating Green Materials - Accelerating Materials Science Discovery
In the digital age, artificial intelligence (AI) and supercomputers are revolutionizing materials research and development (R&D), particularly in creating sustainable green materials. This combination not only speeds up discovery but also reshap...
Read More
International Collaboration and AI: Unlocking the Potential of Next-Generation Perovskite Solar Cells
Amid global efforts to tackle the energy crisis and reduce carbon emissions, solar power has emerged as a cornerstone for a sustainable future. In particular, perovskite solar cells-flexible, sustainable alternatives to traditional silicon-are revol...
Read More
AI: A Breakthrough Solution for Flood Forecasting and Response in Vietnam
Vietnam, with its extensive coastline and complex terrain, frequently faces natural disasters, particularly flooding. Amid increasingly complex climate change, the application of modern technology, notably Artificial Intelligence (AI), is ushering i...
Read More
The Future of Climate Modeling: Optimizing Forecasts with Physics-Informed Machine Learning (PIML) for Senior Leaders
As climate change becomes increasingly evident and complex, the demand for accurate, high-resolution weather and climate forecasts at regional scales has never been more urgent. Traditional Earth System Models (ESMs), despite decades of advancement,...
Read More
Prithvi WxC: A Breakthrough Foundation AI Model from IBM and NASA for Global Weather Forecasting
In the context of global climate science, searching for more efficient and accessible solutions, a significant advancement has been announced. IBM, in collaboration with NASA and with contributions from the Oak Ridge National Laboratory, has launche...
Read More
Spherical DYffusion: A Breakthrough in Global Climate Modeling
In the context of traditional long-term climate simulations that remain costly and take weeks to run on supercomputers, a transformative solution has emerged. Introduced at NeurIPS 2024 (December 9-15, Vancouver, Canada), the AI model named Spherica...
Read More
Computational Science & the Environment: Climate AI & Clean Materials
Date: 08/11/2025 · Reading time: ~7 minutes Context & the need for clean technology According to the WEF 2024 Global Risks outlook (two-year horizon 2024–2026), “extreme weather” ranks #1. In WEF 2025 (horizon 2025–2027), “extreme weather” moved...
Read More
Gen Z Amid the 2025 Tech Layoffs Wave: AI & Unemployment
In the first half of 2025, the global tech industry recorded 80,845 positions cut across 176 companies, marking the largest tech-layoff wave, according to Reuters. Gen Z, the youngest cohort in the workforce-faces a double squeeze as AI increasingly...
Read More
AI Safety Report 2025 – Yoshua Bengio’s Recommendations and Policy Guidance for Businesses
The International AI Safety Report 2025 (UK Government) combined with insights from Yoshua Bengio outlines a multi-layered framework to mitigate AI risks. Below is a faithful translation of each section, preserving the original structure and detail....
Read More
AI Writers and Content Ethics in Vietnam: Copyright Issues, Applications & Internal Policies
The explosion of AI Writers (such as GPT, Claude, Bard…) has unleashed the power to generate content quickly, but it also poses serious challenges around intellectual property and ethical responsibility. This article analyzes three aspects - copyrig...
Read More