Stanford AI economist Erik Brynjolfsson explains that AI is cutting roughly 16% of early‑career software roles, threatening the pipeline for senior engineers, and argues companies must redesign talent pathways to keep junior experience while leveraging agents for routine tasks.
AI pre‑labeling now handles over 95% of basic image tasks, shrinking low‑skill labeling jobs, while demand surges for experts who can judge AI outputs; the article maps four emerging annotation tiers, cites industry reports and OpenAI data, and shows how platforms like TalentsAI let skilled professionals earn high hourly rates.
AI pre‑annotation now exceeds 95% accuracy, shrinking low‑skill labeling roles while creating four distinct tiers of data annotators, with expert‑level positions earning up to 40,000 RMB monthly; the article analyzes this shift, cites industry reports, and outlines how platforms like TalentsAI enable the transition.
The Chinese State Council aims for AI agent adoption above 70% by 2027, and hiring data shows AI agent roles exploding, with salaries surpassing traditional backend positions; the article explains how this shift could leave only three people at ten desks and offers practical steps to stay ahead.
AI positions have exploded, rising twelve‑fold year‑over‑year to account for 26.23% of new‑economy jobs, with average monthly salaries around 60,738 CNY—yet talent supply is scarce (0.71 ratio), prompting firms to value hands‑on skills over credentials and outlining three pathways into the field, including a specialized full‑stack ML engineer program.
The article analyzes how AI pre‑labeling, now exceeding 95% accuracy, is compressing basic annotation tasks, reshaping the labeling workforce into four tiers, and highlights TalentsAI as a platform that elevates experts to high‑value roles with substantially higher compensation.
By 2026 AI pre‑labeling reaches over 95% accuracy, cutting annotator time dramatically, while industry reports predict more than 80% of basic labeling jobs will be replaced, prompting a shift from simple box‑drawing roles to expert‑level data strategy positions on platforms such as TalentsAI.
Recent analysis of about 30 RAG‑related job postings shows demand soaring from 35% to 60%, median salaries rising roughly 40%, and interview questions moving from basic pipeline implementation to deep trade‑off discussions on Rerank, hybrid retrieval, evaluation metrics, and compliance.
Data from 脉脉 shows AI positions in 2026 have grown about twelve‑fold year‑over‑year, now accounting for 26.23% of new‑economy jobs with average monthly salaries 26% above peers, while traditional software demand falls 25% and large‑model application roles surge, prompting a training push on RAG and Agent technologies.
The article analyzes how AI‑assisted coding tools are collapsing junior Java positions, driving salaries down, while boosting demand and pay for Java engineers who can integrate AI into enterprise systems, reshaping hiring criteria and interview formats in 2026.
In 2026 AI is reshaping the global job market at unprecedented speed, adding 170 million new roles while eliminating 92 million, with 22% of existing jobs fundamentally changed; the article breaks down the fastest‑growing and disappearing positions, emerging AI careers, salary trends, skill‑value shifts, and actionable strategies for individuals and enterprises.
Based on 2026 data from the State Assets Supervision and Administration Commission and the Ministry of Human Resources, this article ranks eight Chinese SOEs—China Tobacco, State Grid, the three oil giants, the five major banks, the three telecom operators, China Aerospace, China Railway Signal & Communication, and COMAC—as the top-paying “golden bowl” employers, explains why they pay so well, and offers practical advice for job seekers.
The article examines the rapid rise of Forward Deployed Engineer positions, tracing their Palantir origins, detailing U.S. and Chinese hiring surges, salary ranges, core responsibilities, required skill sets, and how the role is evolving as AI deployment becomes a critical enterprise function.
In 2026 the backend job market is undergoing a dramatic shift, with AI deep‑binding, salary polarization and a surge in demand for AI‑engineered talent, prompting many developers to consider a new AI algorithm engineer track that promises higher salaries and rapid career growth.
The article analyzes how AI is transforming IT hiring by favoring system‑level talent, ranks AI infrastructure, cloud‑native platform engineering and SRE as the most cost‑effective roles for the next 5‑10 years, and advises current ops staff to upskill accordingly.
In the AI era, the article analyzes how AI reshapes computer science and software engineering majors, showing that low‑end coding jobs are being replaced while high‑end architecture and AI‑focused roles surge, and provides a tiered major ranking, score‑based recommendations, university selection criteria, and four‑year study pitfalls to guide 2026 Gaokao applicants.
Recent reports from Gloat, BCG, PwC and others show AI skills are rapidly embedding into job descriptions, with AI‑related postings doubling year‑over‑year, a 56% wage premium, and emerging risks such as Gen Z over‑reliance, prompting firms to adopt ‘Human + AI’ workflows and offering concrete upskilling practices.
In 2026 China’s job market, 12.7 million graduates face fierce competition, 53% of firms drop degree requirements, AI‑related skills add an average salary premium of 78,000 CNY, and the most successful talent combines a solid degree with continuously updated practical skills.
The article examines recent data showing massive AI‑driven layoffs among programmers, explains Jensen Huang’s claim that “AI won’t take your job, but people who use AI will,” and offers concrete advice on adopting AI tools, shifting to higher‑value roles, and building a portfolio to stay competitive.
Andrew Ng argues that while AI is reshaping many jobs—from coding to content creation—it is not triggering a wholesale collapse of the employment market; instead, the narrative of an AI‑driven job apocalypse is fueled by hype, pricing strategies, and companies using AI as a convenient excuse for layoffs.
Network security salaries vary from 9 K to 45 K due to regional cost differences, company size, specific security roles, and individual skill levels, so targeting major cities, larger firms, and upgrading expertise are key to earning a higher salary.
In a recent podcast, Nvidia founder Jensen Huang challenges the prevailing AI‑job‑loss narrative, arguing that AI automates tasks rather than whole occupations, and illustrates his point with radiology and software‑engineer examples while warning that fear‑driven avoidance could hinder U.S. competitiveness.
The article compares the long‑term career prospects of graduate studies in embedded control versus machine vision, arguing that embedded systems offer stable demand, lower turnover and higher longevity despite the current hype around AI‑driven vision roles.
The article argues that AI will reshape software development into three distinct programmer tiers—a tiny elite of AI system designers, a larger group of AI "shepherds" who orchestrate AI agents, and a mass of AI‑empowered hobbyists—while citing data on junior job decline and the limited productivity boost AI offers senior engineers.
The article reflects on the evolution from the Internet boom to the AI surge, presents data on AI adoption and market impact, and offers seven concrete strategies—accepting AI, adopting proactive thinking, leveraging AI for expertise, diversifying production factors, boosting cognition, considering public service, and pursuing passion—to help individuals navigate and succeed in the AI-driven future.
Programmers should beware of four provincial capitals—Zhengzhou, Jinan, Shijiazhuang, and Shenyang—where limited quality tech firms, low salaries, scarce R&D roles, and poor job stability can waste effort and jeopardize career growth in the long term.
The article analyzes recent rumors that Baidu's e‑commerce division is mandating front‑end and back‑end developers to pair up and become full‑stack engineers within months, arguing that the move is a cost‑cutting strategy that reshapes job requirements, accelerates layoffs, and reflects broader pressures on tech talent in China.
A concise, one‑minute overview warns programmers about four Chinese provincial capitals—Zhengzhou, Jinan, Shijiazhuang, and Shenyang—highlighting limited high‑pay opportunities, prevalence of low‑skill outsourcing, and potential career setbacks for those who overlook these market realities.
A weekly briefing compiles data from Goldman Sachs, BCG, Deloitte, Gartner and Reuters to reveal how Agentic AI is displacing thousands of entry‑level positions, reshaping roles rather than causing mass layoffs, and driving new AI‑augmented job categories across the US and China.
BCG’s Henderson Institute report reveals that AI will reshape 50‑55% of U.S. jobs within the next 2‑3 years, altering tasks, skill demands and work methods, while only 10‑15% of roles are expected to be fully eliminated.
Despite headlines claiming AI will replace developers, hiring for engineering roles has surged to record highs, a trend explained by the 19th‑century Jevons paradox where efficiency gains actually expand total resource consumption, reshaping the software industry’s demand dynamics.
A weekly briefing analyzes the explosive growth of Agentic AI, revealing a $10.9 billion market forecast for 2026, a 12‑fold surge in AI‑driven Chinese spring hiring, stable US employment despite AI adoption, and practical multi‑agent workflows that boost productivity while highlighting governance challenges.
The article examines how AI’s exponential acceleration is reshaping software development, debunking the hype that 99% of engineers will be obsolete, highlighting real data on junior job loss, the rise of knowledge engineering, technical debt risks, and the need for engineers to evolve into AI‑enabled system designers.
The article warns that within half a year AI-driven code generation will slash demand for standard Java CRUD developers, causing massive layoffs, a shift in hiring criteria, and forcing programmers to acquire AI and domain expertise to stay employable.
This article examines China’s eight leading software outsourcing firms, outlining their scale, typical advantages and drawbacks for programmers, and offering guidance on when outsourcing can be a strategic career move versus a potential dead‑end.
The article analyses the shifting AI engineering job market, exposing a crowded hiring landscape, rapid skill depreciation, over‑reliance on generative AI, and the need for data governance and fundamental engineering skills to stay relevant by 2026.
This briefing analyzes AI’s evolving impact on the global job market, highlighting limited current employment disruption, rising productivity potential, Chinese policy initiatives, US concerns about graduate unemployment, practical adoption tips, successful and failed case studies, and strategic recommendations for sustainable workforce transformation.
The article analyzes why product managers face a dual hiring dilemma—companies struggle to find qualified talent while candidates, especially over 30, encounter stricter age, education, and experience requirements—offering concrete examples and actionable strategies to meet these heightened expectations.
The article details JD's 2024 compensation plan—including upgraded 19‑month salary tiers, year‑end bonuses, comprehensive employee benefits—offers practical advice on evaluating offers versus base salary, and provides a curated list of technical interview questions for JD candidates.
The article examines whether advancing AI—especially extended‑thinking models like Anthropic's Claude and MiniMax's interleaved thinking—can replace dedicated performance testing engineers, concluding that for the next three to five years the role remains essential due to planning, coordination, and contextual challenges.
Recent data shows that AI has already eliminated over 10,000 U.S. jobs in early 2025, prompting CEOs and scholars to warn that up to half of entry‑level office positions could disappear within five years, potentially pushing unemployment rates to 10‑20% and sparking a fierce debate over government versus private‑sector solutions.
A seasoned Shenzhen backend developer analyzes PHP's job market in 2025, comparing entry barriers, salary trends, global demand, long‑term stability, potential risks, and the essential skills newcomers should master to stay competitive.
A recent ISE survey reveals that AI is rapidly displacing entry‑level roles in the UK tech sector, causing a steep decline in graduate hiring and raising concerns about a long‑term talent shortage for future mid‑level professionals.
Andrew Ng highlights a growing mismatch in the tech job market: while companies scramble for AI‑savvy developers, many new CS graduates struggle to find work, and he outlines the core AI‑driven capabilities—prompt engineering, RAG, model evaluation, and rapid prototyping—that separate successful AI engineers from the rest.
The article analyzes how massive AI investment and government policy are reshaping China’s tech hiring landscape, highlighting that over 60% of Alibaba’s 2026 recruitment targets AI roles, detailing the skills employers now demand, and warning that half of today’s developers may need to transition to AI within the next few years.
The article examines how two leading Rust compiler engineers, Nicholas Nethercote and Michael Goulet, are seeking new positions, highlights their massive contributions, discusses the funding challenges of the Rust foundation, and explores how AI and corporate priorities are reshaping the future of the language.
Despite recurring rumors of its demise, PHP continues to power over 70% of websites in 2025, offering modern features, a thriving ecosystem, and strong job demand, making it a viable choice for content sites, e‑commerce, APIs, and rapid prototyping.
A recent Stanford study of ADP payroll data reveals that AI is already reducing employment rates for early‑career workers aged 22‑25 in high‑exposure jobs, while older employees see gains, and highlights that AI that augments rather than automates work may not cut entry‑level positions.
Based on recent Maimai data, the article analyzes the stark contrast between soaring demand and high salaries for AI talent and the oversupply, declining wages, and hiring difficulties faced by Java programmers, illustrating the causes, real‑world case studies, and actionable strategies for developers to adapt.
The article reflects on the challenges and misconceptions faced by programmers in their 40s, arguing that coding at that age is still viable if one can deliver projects, while highlighting tougher tasks than coding, the importance of broader skills, and strategies for staying employed and choosing suitable roles.
The article examines how rapid AI adoption is driving massive layoffs at major tech firms, widening wealth inequality, eroding individual cognitive skills, and reshaping the job market, while offering strategies for thriving in an AI‑dominated future.
The article examines whether to pursue a computer science degree amid rapid AI advances, presenting data on unemployment rates, predicting that AI will generate most code, and recommending top students consider research while ordinary students weigh interdisciplinary alternatives unless driven by genuine passion.
This semi‑annual report analyzes over 120 interview experiences to reveal current hiring trends, required skills, and strategic advice for data professionals targeting mid‑to‑senior positions in large‑scale companies during the first half of 2025.
This article models the chance of finding a job that simultaneously offers a high salary, light workload, and proximity to one’s hometown, using conditional probability and real‑world data to show why such an ideal position is extremely rare and how relaxing requirements dramatically improves the odds.
The article analyzes why high‑salary headhunter offers from fast‑growing startups often hide financial instability, citing 2023 data on short company lifespans and layoff risks, and provides practical criteria for evaluating a company's reliability before making a move.
The article analyzes DeepSeek R1’s release, showing how rising base‑model thresholds, a shift toward infrastructure‑centric skills, and the rise of retrieval‑augmented generation are rapidly diminishing traditional large‑model algorithm engineer positions while reshaping the broader AI industry landscape.
The article examines how the looming U.S. ban on TikTok has sparked a wave of software engineers leaving the platform, showing that most are joining large tech giants such as Meta, Google, Amazon, Microsoft and Apple, while many also move to publicly listed firms like Snap, Pinterest, Snowflake and NVIDIA, and a few head to private companies such as X (formerly Twitter) and OpenAI.
This article examines common perceptions about US software engineers—salary levels, job difficulty, work intensity, remote‑work requirements, and age‑related career risks—by summarizing anecdotal comments and publicly available data, while noting that higher pay does not automatically translate to a better standard of living.
A former P9 engineer explains how strong technical ability combined with timing the housing, internet, and stock market booms created huge wealth, and argues that AI will be the next decisive factor for anyone navigating today’s tech career landscape.
C++ graduates often fail backend interviews at major internet firms because those companies favor Java or Go and expect experience with databases, caches, and message queues, so candidates should either acquire those backend skills, switch to the dominant languages, or target C++‑friendly domains such as embedded, AV, gaming, or client‑side networking.
Recent job‑market trends show fewer positions but more candidates, leading many to notice that companies offering offers often ask few interview details, whereas firms that probe deeply rarely follow up; a veteran interviewer explains the psychological reasons and shares a concrete high‑volume query example.
Black Myth: Wukong has shattered Steam records, attracted massive social media buzz, secured Tencent investment, generated billions in revenue, and is now hiring multiple development and design roles, illustrating how a breakout game can drive both industry growth and talent demand.
A year after the LLM boom, the talent market has moved from severe supply shortage to a high‑water equilibrium, with foundation‑model teams still heavily funded while application‑focused deployments struggle, highlighting changing hiring dynamics, investment pressures, and the looming risk of demand contraction.
The article examines how former employees of leading internet firms face severe salary cuts, cultural mismatches, and career uncertainty when moving to smaller companies, illustrating the broader market shift from rapid growth to rational consolidation and its impact on individual professionals.
The article shares an AIGC interviewer's view on the qualities sought in candidates, presents industry salary and demand statistics, and offers practical advice and resource recommendations for aspiring professionals looking to enter the rapidly growing AIGC field.
After 14 years in China's tech sector, the author reflects on the industry’s golden decade, compares its rise and decline to civil engineering, examines current job market challenges, and argues that while the hype may fade, computing still offers the most promising career wave.
The article discusses the challenges of working with legacy technology stacks, offers practical advice for career development, interview preparation, skill enhancement, and recommends using AI tools and open‑source resources to stay competitive in a tough job market.
This article shares eight hard‑hitting workplace truths—from negotiating salary and understanding your market value to recognizing the mutual “utilization” between employees and bosses, the limits of workplace friendships, fairness myths, boss expectations, smart job‑hopping, and the importance of personal strength—offering practical guidance for navigating and thriving in today’s professional environment.
The article explains that senior engineering interviews now have low pass rates due to higher hiring standards and insufficient interview skills, and provides ten concrete strategies—such as mastering the job description, refining the résumé, delivering concise introductions, showcasing leadership, staying current on technology, and post‑interview reflection—to dramatically improve senior candidates’ performance.
The article examines how age bias and massive resume volumes create a hiring bottleneck for senior programmers, illustrating the problem with real anecdotes, explaining why HRs resort to age filtering, and offering a realistic outlook on coping strategies for developers over 35.
Based on DevJobsScanner's analysis of over 10 million global job postings, this report ranks the ten best‑paid programming languages in the United States, detailing average and median salaries, job counts, and industry trends for each language from Java to Solidity.
The author recounts a two‑year journey as a Java developer, describing experiences across three companies, the challenges of CRUD‑focused work, the need to learn front‑end skills, and insights on balancing technical growth with business understanding in both large and small firms.
The article analyzes how interviews are a two‑way selection process, explains how shifting market conditions affect candidate leverage, highlights common misconceptions, and offers concrete preparation tips to help job seekers view each interview as a strategic step toward better self‑positioning.
This article examines the wide salary range in the operations field, explains why high‑level DevOps/SRE positions command premium pay, and offers practical advice—such as relocating to major cities, obtaining a bachelor's degree, mastering in‑demand technologies, and developing soft skills—to help operations engineers advance their careers.
Analyzing over 10 million global developer job postings (focused on the United States) from November 2022 to November 2023, DevJobsScanner identified the top ten highest‑paying programming languages, detailing average salaries, median wages, and the number of paid positions for each language.
Analyzing over 12 million developer job postings from October 2021 to November 2022, DevJobsScanner identified JavaScript/TypeScript, Python, Java, C#, PHP, C/C++, Ruby and Go as the eight programming languages with the highest demand, highlighting their job share percentages and key ecosystem keywords.
A recent Stack Overflow survey of over 1,000 developers reveals that 79% are considering new employment, with age‑related trends, motivations like curiosity and higher salary, and varied job‑search strategies highlighting a shifting tech‑industry career landscape.
A former top‑tier computer science graduate shares a candid, data‑driven analysis of why the field may not be as lucrative or stable as it appears, covering salary myths, career longevity, gender imbalance, health risks, and who might still benefit from studying CS.
Despite many newer languages, PHP remains relevant in 2023 due to powerful PHP 8.x features, its dominance in web development and CMS platforms, a vibrant ecosystem of frameworks, strong job demand, ease of learning, a large supportive community, and ongoing legacy code maintenance needs.
Based on analysis of over 14 million developer job postings from January 2022 to May 2023, DevJobsScanner identified JavaScript/TypeScript, Python, Java, C#, PHP, C/C++, Ruby, and Go as the eight programming languages with the highest demand, accounting for roughly 29% of all language‑specific positions.
Based on an analysis of over 14 million developer job postings from January 2022 to May 2023, the report identifies JavaScript/TypeScript, Python, Java, C#, PHP, C/C++, Ruby and Go as the eight most in‑demand programming languages, detailing their job share percentages and market trends.
The article compares C++ and Java in terms of job opportunities, industry demand, skill requirements, and career advice, helping graduates decide which language aligns best with their background and the current market trends in 2023.
Using eight years of Chinese recruitment data, the article analyses how large language models like GPT could automate specific tasks across thousands of jobs, presents the most and least vulnerable occupations, and explores the relationship between wage growth, job experience, and AI replaceability.
Despite recent tech layoffs, 2023 sees a robust and growing demand for software developers across finance, healthcare, manufacturing, automotive, insurance, and emerging fields like IoT and cybersecurity, with full‑stack skills and cloud/AI knowledge becoming especially prized by employers.
The rapid rise of ChatGPT and AIGC has sparked an intense talent war in China, driving unprecedented demand and salary hikes for NLP and related AI specialists, prompting companies and headhunters to invest heavily in recruiting top researchers and engineers.
Senior P7/P8 engineers in China’s big‑tech firms now confront stalled promotions, dwindling lateral moves, scarce venture capital and a pull toward disengagement, a situation the article attributes to excess senior talent, organizational inertia and talent concentration, and it advises reassessing career capital, exploiting internal resources, leveraging the firm’s brand and cultivating an anti‑fragile mindset.
Based on analysis of over 12 million developer job postings from October 2021 to November 2022, DevJobsScanner identified the eight programming languages with the highest demand in 2022, highlighting JavaScript/TypeScript’s dominance, the rise of Python and Java, and emerging trends for Go, C#, PHP, C/C++, and Ruby.
An analysis of over 12 million developer job postings reveals that JavaScript/TypeScript, Python, Java, C#, PHP, C/C++, Ruby, and Go were the eight most in‑demand programming languages in 2022, together accounting for roughly 80% of positions that explicitly required a language.
Based on an analysis of over 12 million developer job postings from October 2021 to November 2022, DevJobsScanner identified the eight most in‑demand programming languages in 2022, highlighting JavaScript/TypeScript’s dominance and the rising popularity of Python, Java, C#, C/C++, PHP, Ruby, and Go.
An analysis of over 12 million developer job postings from October 2021 to November 2022 shows JavaScript/TypeScript leading the market with 31% of positions, followed by Python, Java, C#, C/C++, Ruby, PHP and Go, highlighting shifting trends and the growing importance of these languages for developers.
The 2022 DevJobsScanner analysis of over 12 million developer job postings reveals JavaScript/TypeScript as the most demanded language followed by Python, Java, C#, PHP, C/C++, Ruby and Go, and concludes with a promotional announcement for a new PHP online live class.
The article argues that for most developers, especially those from ordinary schools, learning C++ is costly and inefficient, while Go can be mastered quickly and aligns better with current hiring demands that prioritize practical backend skills and project experience.
An analysis of over 5,500 RemoteOK software engineering job postings reveals which programming languages offered the highest and lowest salaries in 2022, highlights demand growth and decline, and suggests which languages are most popular and worth learning for career advancement.
The article reflects on the rise and fall of China's internet boom, compares the career prospects of computer science and civil engineering, and argues that despite recent layoffs, computer science remains a strong, versatile field for those who truly enjoy programming and problem‑solving.
In September 2022, China recruited 416,547 programmers with an average salary of 14,616 CNY and a median of 12,800 CNY, and the report details city‑wise average, minimum, median, and maximum salaries as well as hiring numbers for various programming roles such as Java, front‑end, back‑end, AI, and big‑data positions.
Analyzing over 7 million developer job postings from October 2021 to July 2022, the study ranks the eight most in‑demand programming languages, detailing monthly trends, share percentages, and the overall dominance of JavaScript/TypeScript in the market.
The article reflects on the massive layoffs in the internet sector, examines the golden decade of China's online boom, compares the rise and fall of computer science and civil engineering careers, and offers practical advice for anyone considering a switch to or staying in the tech field.
The article analyzes how the once‑inflated high‑salary model of Chinese internet giants is fading as market saturation, reduced capital inflows, and shifting job‑seeker expectations force both employers and employees to accept lower compensation and reassess career strategies.
In 2022, many former internet professionals are redirecting their careers toward high‑potential sectors such as new energy, semiconductor manufacturing, and Web3, attracted by strong salary growth, abundant talent demand, and the promise of emerging technologies despite uncertainties and transitional challenges.
The April 2022 survey of 164,126 programmer salary records across China reveals an average monthly pay of 16,019 CNY, a median of 13,000 CNY, and a 90% range of 5,250 CNY to 37,500 CNY, while detailed city and career tables show regional and functional variations in wages and job demand.
