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Analysis of 17M job postings reveals Head of AI hiring has tripled in 9 months, with 69% of hiring companies being non-tech, led by finance, healthcare, and pharma. Companies are hiring adoption executives rather than researchers, indicating a shift from experimentation to P&L accountability.
AI automation is shifting workers from specialized roles to broader full-stack or full-cycle positions, potentially increasing demand for higher-level skills in fields like software development, marketing, and recruiting.
Sam Altman shares his observation that AI has been net job-creating so far, contrary to his earlier expectations, and suggests this trend may continue.
The article analyzes how, after the release of AI Agents like Claude Code, software development job postings in the US have increased rather than decreased. It points out that the market is shifting from needing executors to needing senior developers who can steer Agents, and that Agents are redefining the role of programmers.
A study by Axipro analyzing over 3,500 AI job postings in eight EU countries reveals that for every AI governance hire, nearly seven are hired to build AI systems, with Sweden and France showing the widest gaps. Additionally, fewer than 30% of governance roles and only 4% of builder roles explicitly mention the EU AI Act, indicating a disconnect between hiring and regulatory compliance.
A practitioner who has worked at Scale, OpenAI, and Google shares career advice for the AI era: AI is good at solving problems with standard answers (e.g., exams, Leetcode), while the truly scarce abilities are those that cannot be defined by a loss function.
A speculative discussion questioning whether AI will render software engineering obsolete by mid 2026.
Reuters reports that India's IT industry is seeing a 16% rise in AI role hiring while overall IT hiring fell 3%, indicating a shift toward specialized AI workforce and away from routine IT outsourcing.
A report by Orgvue found that 39% of companies made AI-related redundancies, but many leaders regretted it as AI struggled with tasks requiring judgment and institutional memory, leading to a rehiring wave.
A tweet discussing how AI enables people to build things regardless of background, citing a Notion job posting that asks applicants to build an AI agent instead of submitting a resume.
A new paper by Ara Kharazian, tryramp, and RevelioLabs uses firm-level data across 21K U.S. businesses to find that firms adopting AI heavily grow headcount by 10% over two years, contradicting the narrative that AI kills jobs.
AI Engineer jobs have surged 143% in 2026, and some recommended free books are listed.
A report from Ramp and Revelio Labs finds that companies heavily investing in AI are growing headcount faster, including entry-level roles, countering fears of AI-driven job losses, though the data skews towards tech-forward firms.
The tweet discusses a recurring catch-22 in the tech job market where companies struggle to hire specific profiles like product-minded engineers and devtools infrastructure specialists due to noisy inbound applications, while qualified candidates rarely get noticed.
Anthropic shares survey results showing nearly half of respondents expect significant work responsibility changes in the next 12 months, but few fear personal job loss while many worry about junior colleagues.
This translated article introduces Dan Koe's perspective: The most important thing in the AI era is not to worry about being replaced, but to cultivate abilities that don't rely on a single system. By accumulating your own work, audience, and clients, you can enhance your resilience against risks.
A 2025 graduate at a Big 4 consulting firm expresses concern about whether AI and agentic AI are hype or a real threat to jobs, seeking grounded advice on the actual market impact.
A market observation that experience with GPUs and local AI will be highly sought after by employers.
Arvind Narayanan and Sayash Kapoor argue that AI will not replace software engineers, citing bottlenecks like deciding what to build, verification, and deep human understanding as key to the profession's resilience against automation.
A positive speculative timeline for AI and automation from 2026 to 2035, predicting widespread AI agents, humanoid robot deployment, job market shifts, and the emergence of AI dividend systems and post-labor economies.