AI Job Creation Insights

New! We analyzed a billion job postings globally, and the results may surprise you: job numbers and wages are rising. Let’s dive in. For the second year running, the 2025 Global AI Jobs Barometer from PwC shows that productivity and wages are not just rising, they’re accelerating, even in roles that are most amenable to automation. Our research spans six continents and includes data from 24 countries and territories. 💭 100% of industries are expanding their usage of AI (even industries less obviously exposed to AI such as mining and construction) 📊 Since 2022 when awareness of AI's power surged, productivity growth in industries best positioned to adopt AI has nearly quadrupled (while falling slightly in industries least exposed to AI) 3️⃣ Industries most able to use AI have 3x higher growth in revenue generated by each employee  🪙 Workers with AI skills command a 56% wage premium (up from 25% last year) ⚒️ Skills sought by employers are changing 66% faster in occupations most exposed to AI (like financial analyst) versus least exposed (like physical therapist) – up from 25% last year . AI continues to act as an amplifier of human expertise — not a replacement for it, despite what the headlines might suggest. The prime example being that job growth is occurring even in roles where "automation" is playing the biggest role (like customer service and software engineering). Job cuts and doomerism make headlines, but job creation takes longer to materialize and to be recognized. It’s the difference between weather and climate, and why we call this report a "barometer". As the shifting sands of the past two years begin to settle into clearer patterns, there’s never been a better time to dive in, get hands-on, and lead your teams through this transformation. Link to the full report below.

While much AI and jobs coverage focuses on disappearing roles, it's refreshing to see The NYTimes Magazine highlight job creation in line with The World Economic Forum's prediction of 78 million jobs AI will create. With the widely accepted estimations that for every job killed by AI, three or four will be created, we come to this: 78 million is the WEF’s net number, bringing us to 100 million or more, gross. What types of jobs will be sought after? 💼 Trainers, says the WEF, “are the people developing AI: engineers and scientists working on the large language models (LLMs) on which generative AI tools such as ChatGPT depend.” Additionally, AI development involves more than just programmers; demand engineers, predicts the WEF’s Jobs of Tomorrow 2024 report. 💼 Explainers - Trainers work behind the scenes while explainers interact with users to help them understand and use AI. They design interfaces for smooth interactions and can be considered "user experience (UX) designers," says the Forum. 💼 Sustainers will ensure optimal AI use by focusing on three functions: (1) Content creators will exercise prompt engineering, (2) Data curators will ensure LLMs receive high-quality data, and (3) Ethics and governance specialists will ensure LLMs operate without bias, harm, or unethical behavior, rigorously testing before public release. This may lead to the emergence of AI safety and regulatory officers. This is what we received from the WEF in January 2024. When reassessed today, it proves to be quite insightful, providing us with strong guidance for the decisions we have no choice but to make. The article in The New York Times Magazine lists 22 New Ones It Could Give You. https://archive.is/iR912 [Link to article] #AI #Jobs #Hiring

A friend recently asked me about the hiring landscape for AI/ML roles in the U.S. tech market. Given the rapid evolution of AI, I wanted to share key insights into where the industry is headed in 2025. 🔹 Job Market Growth ✅ AI-related job postings peaked at 16,000 in October 2024, signaling massive hiring demand and continued growth in 2025. ✅ The global AI market is projected to reach $1.59 trillion by 2030, with the U.S. AI market expected to hit $299.64 billion by 2026. ✅ While the Bay Area remains the top AI talent hub, other regions are catching up, fueled by hybrid and remote work opportunities. 🔹 Top In-Demand AI Roles 🎯 Machine Learning Engineers – Still the most sought-after AI role! 🎯 AI Engineers – Building and implementing AI tools is a key focus. 🎯 Data Scientists – Estimated 20,800 new job openings per year. 🎯 Emerging Roles – AI Ethics Specialists, AI Research Scientists, AI Product Managers. 🚀 New future roles in Agentic AI: AI Agent Orchestrators, Agentic AI Developers, and AI Agent Trainers are gaining prominence as autonomous AI systems evolve. 🔹 AI Expansion Across Industries AI adoption is skyrocketing beyond traditional tech, creating new opportunities in various sectors: 🏥 Healthcare – AI-driven diagnostics & drug discovery 💳 Finance – AI-powered fraud detection & risk assessment 🛍 Retail – Personalized AI shopping experiences 🚚 Logistics – AI-optimized supply chains & automation 🔹 Skills That Will Make You Stand Out ✅ Python & AI Frameworks (TensorFlow, PyTorch) ✅ Interdisciplinary AI Skills (AI + domain expertise) ✅ NLP & Computer Vision (Future-proofing your AI career) 📈 Future Outlook The World Economic Forum predicts a 40% increase in AI/ML specialists by 2027! 🚀 Expect rapid growth in roles like NLP Engineers, AI Ethics & Bias Analysts, and Computer Vision Specialists. If you're navigating the AI/ML job market, now is the time to upskill, network, and seize opportunities in this booming space! 👉 What hiring and industry trends are you seeing in AI/ML? Drop your thoughts below! 👇

In Davos last week, the future of AI and its role in reshaping industries and the workforce was front and center. At the Upwork Research Institute, our latest data reflects how AI is transforming workflows and empowering professionals, showing 268% year-over-year growth on Upwork in AI-related jobs in *non-technical* fields like design, marketing, and translation. Even more striking, 58% of these roles are high-value projects, and in categories like Translation, 86% of AI-related jobs are high-value opportunities. 💡What does this mean? Aligning with the broader sentiment at the World Economic Forum, AI isn’t just a tool for tech specialists and data scientists; it’s transforming industries by enabling professionals across disciplines and roles to access high-value work without requiring deep technical expertise. From writers leveraging AI to refine content, to designers creating 3D models without coding, to administrative professionals overseeing AI-powered workflows, the potential for human-AI collaboration is immense. This isn’t about replacing jobs; it’s about reimagining workflows, enhancing creativity, and empowering professionals to focus on strategic, high-value work. The future of work is here, and AI is the key that’s opening doors for talent everywhere. 📖 To learn more about this research, see the link in the comments. #Upwork #FutureOfWork #AI #Innovation

AI is fundamentally reshaping our workforce, but the impacts are nuanced. The latest report, “Potential Labor Market Impacts of Artificial Intelligence: An Empirical Analysis,” by The White House Council of Economic Advisers, provides critical insights for leaders that will impact everyone's future.. 📊 Key Findings: ✅ 𝐆𝐫𝐨𝐰𝐭𝐡 𝐢𝐧 𝐇𝐢𝐠𝐡-𝐂𝐨𝐦𝐩𝐥𝐞𝐱𝐢𝐭𝐲, 𝐀𝐈-𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐑𝐨𝐥𝐞𝐬 Roles requiring advanced AI skills have increased by 30% over the last five years. Positions such as AI ethics officers and data scientists are on the rise, indicating a shift toward more complex, creative work. Occupations that integrate AI effectively are growing twice as fast as average, suggesting AI's role in complementing human skills rather than replacing them. ❌ 𝐇𝐢𝐠𝐡 𝐑𝐢𝐬𝐤 𝐨𝐟 𝐉𝐨𝐛 𝐃𝐢𝐬𝐩𝐥𝐚𝐜𝐞𝐦𝐞𝐧𝐭 𝐢𝐧 𝐋𝐨𝐰-𝐒𝐤𝐢𝐥𝐥 𝐑𝐨𝐥𝐞𝐬 40% of current jobs are at risk due to high AI exposure but low skill requirements, particularly in administrative and routine manual tasks. These jobs are declining at a rate of 2% annually. Sectors like customer service and data entry are vulnerable, raising concerns about job security and economic stability in these fields. 📍 Regional Disparities: ✅ 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬 𝐢𝐧 𝐓𝐞𝐜𝐡 𝐇𝐮𝐛𝐬 Tech-centric regions like Silicon Valley show a high concentration of new, AI-driven job creation, reflecting significant economic opportunities for those regions. Urban centers with strong tech clusters are emerging as key players in AI employment, driving innovation and growth. ❌ 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐟𝐨𝐫 𝐑𝐮𝐫𝐚𝐥 𝐚𝐧𝐝 𝐒𝐦𝐚𝐥𝐥𝐞𝐫 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐢𝐞𝐬 Rural areas and smaller towns are facing increased risks of job losses due to AI, without comparable opportunities for new AI-driven roles. This geographic imbalance could exacerbate regional economic disparities. 👉 Here are my questions for Leaders: 1️⃣ Are we ready to leverage AI’s potential while minimizing risks? How are we preparing our teams for a future where AI enhances human capability? 2️⃣ What is our reskilling strategy? With 40% of jobs potentially vulnerable, how are we investing in upskilling our workforce to transition into growth-oriented roles? 3️⃣ How can we balance geographic and economic disparities? Are we focusing enough on regional strategies to ensure inclusive growth? As leaders, our role is to harness AI's potential to foster a resilient, inclusive, and dynamic workforce. Are we ready to lead this change and shape the future of work?

Thinking about AI's impact on jobs often gets oversimplified. People tend to picture our world operating the same, but with AI stepping in to take over some tasks. This view misses the bigger picture. What really unfolds is that companies gain new abilities through AI. This sparks positive job growth. Historically, there’s been a substantial gap between small and large companies. Big companies typically have all the specialist teams they need—engineers for innovation, marketers for outreach, and legal, supply chain, and compliance experts for issues beyond their core. Smaller companies often can’t compete because they lack these resources. It’s a huge hurdle for starting up or scaling quickly. AI agents level the playing field, giving small businesses access to enterprise-level resources. This means smaller firms can grow faster and experiment more. Startups can now launch marketing campaigns, conduct market research, deliver new features, manage sales, and provide customer support—ways that were hard to afford before. In the past, though some tasks might have been outsourced or done in-house, many either weren't up to par or just didn’t happen. With this boost, small companies will actually create more jobs. They'll need people for roles that AI can't fill, in various support areas. AI isn’t just about replacing jobs; it’s about enabling businesses to do more, leading to job growth in areas AI can’t cover. #ai #jobs

𝗧𝗟;𝗗𝗥: History shows AI's impact on jobs will follow a familiar pattern of disruption and growth, but on a compressed 10-15 year timeline. Understanding past technological transitions helps us prepare for both the challenges and opportunities ahead. This is part 3 on the #EconomicsofAI. In one of prior posts (https://bit.ly/40tVLRI), I wrote about the history of economic value generation in tech transformations. But what does AI do for jobs? Read on: Looking at 250 years of technological disruption reveals a consistent pattern that will likely repeat with AI, just faster. My analysis of employment data across four major technological waves shows something fascinating: while specific jobs decline initially, total employment ultimately grows significantly – often 2-3x higher than pre-disruption levels. Here's what history tells us about AI's likely impact on jobs: 𝗧𝗵𝗲 𝗣𝗮𝘁𝘁𝗲𝗿𝗻 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲𝘀 𝘄𝗶𝘁𝗵 𝗘𝗮𝗰𝗵 𝗪𝗮𝘃𝗲: • 𝗙𝗶𝗿𝘀𝘁 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 (𝟭𝟳𝟲𝟬-𝟭𝟴𝟰𝟬): 40% initial job decline, 80 years to full transformation • 𝗦𝗲𝗰𝗼𝗻𝗱 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 (𝟭𝟴𝟳𝟬-𝟭𝟵𝟭𝟰): 30% decline, 44 years to transform • 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 (𝟭𝟵𝟱𝟬-𝟭𝟵𝟴𝟬): 25% decline, 30 years • Digital Revolution (1980-2000): 15% decline, 20 years • 𝗔𝗜 𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 (𝟮𝟬𝟮𝟰-𝟮𝟬𝟯𝟱): Projected 20% initial disruption, 10-15 years to transform 𝗧𝗵𝗲 𝗔𝗜 𝗧𝗿𝗮𝗻𝘀𝗶𝘁𝗶𝗼𝗻 𝘄𝗶𝗹𝗹 𝗹𝗶𝗸𝗲𝗹𝘆 𝗳𝗼𝗹𝗹𝗼𝘄 𝘁𝗵𝗿𝗲𝗲 𝗽𝗵𝗮𝘀𝗲𝘀: • 𝟮𝟬𝟮𝟰-𝟮𝟬𝟮𝟲: 𝗜𝗻𝗶𝘁𝗶𝗮𝗹 𝗗𝗶𝘀𝗿𝘂𝗽𝘁𝗶𝗼𝗻 Expect focused impact on knowledge workers, particularly in areas like content creation, analysis, & routine cognitive tasks. Unlike previous waves that started with manual labor, AI begins with cognitive tasks. • 𝟮𝟬𝟮𝟲-𝟮𝟬𝟯𝟬: 𝗥𝗮𝗽𝗶𝗱 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 New job categories emerge rapidly as AI enables new business models. Just as the internet created roles like SEO specialists & social media managers, AI will spawn entirely new professional categories. • 𝟮𝟬𝟯𝟬-𝟮𝟬𝟯𝟱: 𝗚𝗿𝗼𝘄𝘁𝗵 𝗮𝗻𝗱 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 Employment should exceed pre-AI levels as the economy reorganizes around AI capabilities, similar to how manufacturing employment grew 4x during the Second Industrial Revolution. 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗳𝗮𝘀𝘁𝗲𝗿 𝘁𝗵𝗮𝗻 𝗽𝗿𝗲𝘃𝗶𝗼𝘂𝘀 𝘄𝗮𝘃𝗲𝘀: • Digital infrastructure already exists • Global talent pool can adapt more quickly • Market pressures demand faster adoption This will only happen if we treat AI as Augmented Intelligence! 𝗔𝗰𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝗟𝗲𝗮𝗱𝗲𝗿𝘀: The data shows that organizations that invest in workforce transformation during disruption emerge strongest. Focus on: • Identifying which roles will transform vs. disappear • Building internal training using resources from Anthropic Amazon Web Services (AWS) etc. • Creating new job categories that combine human+AI capabilities • Planning for the growth phase

How will jobs evolve as AI models become more powerful? Will human workers be displaced faster than the new roles emerge? AI and government leaders talk a lot about how AI—like all general purpose technologies before it—will create new jobs, and often speak in generalities about what those jobs could be and when they’ll appear. My belief is that the disruption and displacement will come faster than the economy and society are prepared for, but I also believe there’s still time to do something about it. We have to be proactive by conducting AI impact assessments on our teams (and ourselves), and start envisioning the future of work so we can reimagine businesses and career paths. Enter JobsGPT v2. JobsGPT, a ChatGPT-powered tool that I first introduced in August 2024 (and has ~10,000 conversations to date), has been updated to v2 and has three primary functions: 1) Enter a job title. Provide a job title. JobsGPT analyzes the job, breaking it down into a collection of tasks. You can also ask it to break the tasks into subtasks for further analysis. 2) Submit a job description. Enter or upload a job description with actual responsibilities. JobsGPT delivers personalized, task-level impact assessments. 3) Forecast new jobs. Enter an industry, profession or college major. JobsGPT brainstorms AI-powered versions of existing jobs, and imagines completely new jobs that could emerge due to rapid advancements in AI models and AI agent autonomy. “Forecast new jobs” is new to v2 and has shown tremendous potential in early testing to provide inspiration and ideas across industries and professions. JobsGPT is trained on an AI Exposure Key that assesses how jobs will change at the task level as AI models become smarter and more generally capable. "Exposure" means the ability for the AI to reduce the time it takes to complete tasks with equivalent or greater quality than an average skilled professional. E0 – No exposure E1 – Direct exposure E2 – Exposure by LLM-powered applications E3 – Exposure given image capabilities E4 – Exposure given video capabilities E5 – Exposure given audio capabilities E6 – Exposure given voice capabilities (new to v2) E7 – Exposure given advanced reasoning capabilities E8 – Exposure given persuasion capabilities E9 – Exposure given digital world action capabilities (AI Agents) E10 – Exposure given physical world vision capabilities (AI Vision Devices) E11 – Exposure given physical world action capabilities (Humanoid Robots) JobsGPT is capable of going beyond an initial impact assessment. Think of it as an AI planning assistant. Have a conversation with it, and push it to help you turn your chat into an actionable plan. Give it a try. It’s available now to all ChatGPT users. https://lnkd.in/ghu9f335