How ChatGPT Is Changing US Tech Careers

I asked ChatGPT: You're AI. I'm an HR professional. What areas of HR's job should I be worried about AI replacing, and how should I focus my team to future-proof their careers? And it gave me a pretty weak answer (relationship-building, creative problem-solving, tech fluency). So I pressed further: These seem pretty basic. Is there more to this that you foresee and aren't sharing? And then it gave me an answer every single HR pro needs to see. 👇 Deeper Risks for HR Professionals: Loss of "HR Middle Layers" AI will start hollowing out the middle tiers of HR: generalists, business partners, specialists who mostly deliver pre-defined programs. You'll still need strategic heads and deeply human connectors, but the in-between "program executors" could get squeezed out fast. AI-Driven Employee Sentiment Analysis Not just pulse surveys. AI is already analyzing Slack, Teams, and emails (anonymized) to measure engagement and burnout. Your role interpreting and acting on this becomes way more strategic (and political). HR will be judged on real-time workforce mood metrics soon, not annual surveys. Hyper-Personalized HR Services Employees are starting to expect HR to feel like Netflix: "Suggest what's right for me, when I need it." Static benefits guides, open enrollment webinars - these will feel ancient soon. AI can mass-personalize communications and offerings at a scale HR teams alone can't. AI-Influenced Leadership Development Leadership coaching and succession planning models will be AI-augmented. Expect to see AI recommending future leaders based on performance, potential, and even communication patterns. If HR isn't fluent in how those recommendations are made (and how to challenge or humanize them), bad decisions will happen. Ethical Wars HR will be pulled into huge ethical battles over AI biases, especially in hiring, promotion, and compensation. Not having strong ethical frameworks and tech literacy will actually put HR at risk of being seen as obsolete or complicit. The real threat isn't just losing tasks. It's losing relevance. The HR pros that remain will sound less like traditional HR pros and more like human-centered business architects. Maybe AI is wrong. Maybe this answer changes in two months. But the question is one we should all be consistently considering and acting on. Check out the future-proofing rec in the comments below. --------------------------------------------------------- If this got you thinking differently about HR, you’re in the right place. Follow along.

A new Stanford study has put hard data behind what many early-career professionals have been feeling: generative AI is disproportionately reducing entry-level job opportunities in fields like software engineering and customer support. The data is striking: 😢 Employment for workers aged 22–25 in the most AI-exposed roles has dropped by 13% since late 2022. 😄 Older workers in the same roles saw employment rise. ⭐ The biggest declines appear in jobs where AI is used to automate, not augment. ⭐ Salaries stayed flat — firms are cutting roles, not pay. This points to a deeper structural shift. AI appears to be replacing “codified” knowledge — the kind learned in school or bootcamps — faster than it can replace tacit, experience-driven skills. In other words: if your job can be learned from a textbook, it’s more replaceable. The result? The bottom rung of the career ladder is being sawed off. Without that first job, how does anyone gain the experience to climb? For leaders, this raises hard questions: ❓ How do we preserve pathways into high-skill careers? ❓Are we investing enough in human-AI complementarity, not just substitution? ❓What happens to organizations when new talent pipelines dry up? AI’s impact on work won’t be evenly distributed — and this may be one of the earliest, clearest fault lines. #AIWorkforce #EntryLevelJobs #FutureOfWork #AIEconomy #TalentPipeline #GenAI #Automation #AIImpact #LaborMarket #StanfordResearch

AI is reshaping how we will work but most people are still stuck thinking "chatbot." I sat down with Aakash Gupta to break down AI agents for you. This was my first long-format podcast. I have a long way to go and a lot to improve. I still panic in front of cameras 🤪 but I genuinely enjoyed this first one. We covered: 1/ Why AI agents will transform every role 2/ How enterprises are really using AI (hint: it's not what you think) 3/ The career moves that matter in the AI era Here’s what we cover: 1. Why AI agents will transform every role: ▪️ We’re moving from the “chatbot era” to true automation. Agents don’t just respond; they think, plan, act, and reflect to complete enterprise workflows. ▪️ Most professionals will manage 10–20 AI agents within 3–5 years. Each specialized for things like competitive research, user feedback synthesis, or prototyping. ▪️ Start with no-code tools like Langflow, Lindy or N8N. Graduate to frameworks like LangGraph, Agno or CrewAI when you hit enterprise-level complexity. 2. How enterprises are really using AI: ▪️ 90% of use cases in the first post-ChatGPT year were RAG systems. Connecting AI to internal data; not just general knowledge tasks. ▪️ It’s not about saving costs. It’s about doing exponentially more. Companies that embrace this will outpace the rest. ▪️ Vision RAG is the a big unlock: interpreting charts, diagrams, and visual data that text-only systems miss. 3. The career moves that matter in the AI era: ▪️ Technical literacy is now table stakes. You won’t know what’s possible with AI unless you build something. ▪️ Prototype-first beats slide decks. Aakash shared how a working demo landed him a game-changing project. ▪️ Go deep where AI meets your domain. Specific > generic. Also in there: the story of the meeting that changed my career and how I moved from Spain to Silicon Valley. I hope you listen and enjoy the episode. Send me questions for any topic that was not clear and feedback to do better next time! 🎬 Watch on Youtube: https://lnkd.in/gtRX8DQ6 🎧 Listen: - Spotify: https://lnkd.in/grfTHWf5 - Apple: https://lnkd.in/gRddeRdy

A new paper from Stanford University shows that early-career workers are currently the most exposed to AI. “Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence” evaluates changes in the labor market for occupations exposed to generative AI using high-frequency administrative data from ADP, the largest payroll software provider in the United States. The researchers studied a sample consisting of monthly, individual-level payroll records through July 2025, encompassing millions of workers across tens of thousands of firms. They linked the payroll data to “established measures of occupational AI exposure and other variables” to quantify the realized employment changes since the widespread adoption of generative AI. From the introduction: “We find that since the widespread adoption of generative AI, early-career workers (ages 22-25) in the most AI-exposed occupations have experienced a 13 percent relative decline in employment even after controlling for firm-level shocks. . .  These six facts provide early, large-scale evidence consistent with the hypothesis that the AI revolution is beginning to have a significant and disproportionate impact on entry-level workers in the American labor market.” Key Findings: 1) Substantial declines in employment for early-career workers (ages 22-25) in occupations most exposed to AI, such as software developers and customer service representatives. 2) Overall employment continues to grow robustly, but employment growth for young workers in particular has been stagnant since late 2022. 3) Not all uses of AI are associated with declines in employment. In particular, entry-level employment has declined in applications of AI that automate work, but not those that most augment it. My Thoughts: These findings make sense, but this is still just the leading edge of the impact on jobs. As the AI models get smarter, more generally capable, more reliable, and more agentic (able to perform tasks at or above levels of the average human worker) the impact will continue to move up the corporate ladder. I still believe middle management could be at high risk in the next 1-2 years across many industries. We explore this new report on ep 165 of The Artificial Intelligence Show (episode link in the comments). 00:00:00 — Intro 00:07:17 — AI Labor Market Signals 00:16:37 — AI Industry’s Increasing Political Influence 00:28:33 — Google’s Stunning “Nano Banana” Image Editor 00:34:26 — OpenAI Parental Controls and Support Features 00:38:23 — Anthropic Settles Authors’ Copyright Lawsuit 00:42:44 — Meta’s AI Strategy in Flux 00:46:06 — GenAI App Landscape Report 00:51:10 — OpenAI–Anthropic Joint Safety Evaluation 00:54:37 — Jensen Huang Suggests AI Will Create a Four-Day Workweek 01:00:11 — Microsoft’s AI Excel Warning 01:03:17 — Claude in Classrooms 01:07:07 — AI Product and Funding Updates

📌 “𝗙𝗼𝗿 𝗖𝗹𝘂𝗲𝘀 𝗢𝗻 𝗔𝗜’𝘀 𝗜𝗺𝗽𝗮𝗰𝘁 𝗢𝗻 𝗝𝗼𝗯𝘀, 𝗪𝗮𝘁𝗰𝗵 𝗧𝗼𝗱𝗮𝘆’𝘀 𝗧𝗲𝗰𝗵 𝗝𝗼𝗯𝘀”   I recently connected with Joe McKendrick to share my perspective on how AI is reshaping the tech workforce. Grateful to see our conversation featured in Forbes.   Joe underscores a point we’ve been emphasizing for months: 𝗔𝗜 𝗶𝘀 𝗻𝗼𝘁 𝗮 𝗵𝗲𝗮𝗱𝗰𝗼𝘂𝗻𝘁 𝗿𝗲𝗱𝘂𝗰𝗲𝗿—𝗶𝘁’𝘀 𝗮 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗺𝘂𝗹𝘁𝗶𝗽𝗹𝗶𝗲𝗿.   It moves the constraint from compute cycles to the Human Intent Layer, where talent, judgement, and abstraction become the new premium.   Fresh labor signals back this up: 🔹450,000+ US tech openings (CompTIA) 🔹AI-related job postings nearly doubled YoY 🔹50%+ wage premium for AI-fluency (PwC) 🔹Revenue per employee rising 3x faster in AI-driven sectors 🔹12%+ of tech job ads now reference AI—and climbing (Federal Reserve Bank of Atlanta)   As I note in the article, we’re not witnessing the end of software engineering—we’re seeing its evolution. Developers are becoming AI trainers, strategic integrators, and adaptive problem-solvers.   𝗖𝗼𝗱𝗲 𝗶𝘀 𝗮 𝗰𝗼𝗺𝗺𝗼𝗱𝗶𝘁𝘆. What matters is how well we frame problems, guide systems, and turn intelligence into outcomes.   Thank you, Joe, for the thoughtful conversation. To other leaders: where do you see this shift heading?   📖 Read the full article linked below.   #AI #FutureOfWork #TechJobs #Leadership