The future of marketing isn't AI vs. Career Opportunities. It's career opportunities amplified by AI. 🤖🤝 The share of job postings requiring AI Literacy skills are up +51% over the past year. For marketing jobs, it’s up +113%. Adobe for Business and LinkedIn have launched AI Essentials for Marketers on that insight: 📚 5 FREE, role-based learning paths that layer AI onto marketer expertise— from content and creative to data and analytics, communications and digital marketing. Your skills still matter. Your next opportunity begins here. Check out the link in the comments to dive in!
LinkedIn's Economic Graph
Technology, Information and Internet
San Francisco , CA 286,582 followers
A digital representation of the global economy.
About us
The Economic Graph is a digital representation of the global economy based on over 1.2 billion members; 41,000 skills; 69 million companies; and 140,000 schools. In short: it’s all the data on LinkedIn. Through mapping every member, company, job, and school, we’re able to spot trends like talent migration, hiring rates, and in-demand skills by region. These insights help us connect people to economic opportunity in new ways. And by partnering with governments and organizations around the world, we help them better connect people to opportunities.
- Website
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https://economicgraph.linkedin.com
External link for LinkedIn's Economic Graph
- Industry
- Technology, Information and Internet
- Company size
- 10,001+ employees
- Headquarters
- San Francisco , CA
- Founded
- 2003
Updates
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LinkedIn's Economic Graph reposted this
Europe’s energy transformation needs talent. According to LinkedIn's Economic Graph, electrician hiring across France, Italy and Germany grew 16% between 2019 and 2025. From managing the digital solutions underpinning our energy systems, to installing and servicing hardware in homes, on the road, or on the factory floor – we need to equip people with the right skills to power Europe’s future. Schneider Electric does this through a range of training programs and collaborations with universities and other partners across Europe. But we need more awareness and action across the board. We are happy to collaborate with LinkedIn to reveal some of the talent trends shaping the future of energy. Look out for our research report coming soon. #LinkedInSchneiderElectricResearch
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LinkedIn's Economic Graph reposted this
The big question I heard last week at Talent Connect wasn't if work is changing. It was how to keep pace with the change, and know what's real.
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Our newly released data explores what the next generation of talent needs to thrive as AI reshapes the way we work… and we had the chance to take those insights off the page and into a room full of young professionals. At the Empire State Building, 100+ people came together for an evening hosted by Superhuman and LinkedIn, grounded in new research on how the early-career skill set is changing in an AI-enabled workforce. Economic Graph’s very own Sharat Raghavan walked young professionals through the data in a tangible, relatable way with the opportunity for Q&A alongside Superhuman exec Leah Pincsak and creator + founder Morgan Young. The data tells an interesting story: AI is changing how we work, but it’s also putting a sharper spotlight on the skills AI can’t replace — the ability to communicate clearly, build relationships, exercise judgment, connect the dots, and understand the bigger picture. The future of work will require AI fluency. It will also require something much harder to automate: human fluency.
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Job titles usually tell us what someone does. But in AI, one increasingly popular title shows how quickly both the work and the way we define it are changing. A recent The New York Times article explored the rise of “Member of Technical Staff,” (MOTS) a once less-common title that is increasingly being used across AI companies for everyone from engineers and researchers to product leaders. It got us looking at what we’re seeing on LinkedIn, and it’s clear that a shift is underway. In the United States, we saw 38% year-over-year growth in people starting jobs as Members of Technical Staff in 2025. At the current pace, that growth is on track to reach 58% in 2026. These roles are also highly concentrated: just 10 companies employ roughly 45% of U.S. LinkedIn members with the title. Our data suggests this growth may reflect the versatility companies increasingly need from their technical talent. A company may be looking for a data scientist or engineer, but once someone is hired, their role can evolve into the broader “Member of Technical Staff” title, giving them room to move between technical problems and focus on whatever work is most critical to the business. And that versatility is valuable. MOTS roles are among the highest-paying jobs in the emerging AI economy, with typical listed pay around $223,000. The bigger takeaway is this…MOTS is an early sign of what fast-paced companies value most in their technical talent: it's not coding or a linear career experience anymore — it's people who can move across problems and roll up their sleeves to solve them.
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What does it take to start a career in the age of AI? Superhuman partnered with us to reveal our latest LinkedIn research that explores how young workers are entering an AI-enabled labor market, and what their changing skills can tell us about the future of work. The answer may be more human than you think. As AI takes on more technical execution, LinkedIn data suggests that communication, problem solving, leadership, business context, and industry knowledge are becoming increasingly important parts of the early-career skills stack. Among 22- to 25-year-olds, the share listing communication skills grew 11 percentage points from 2022 to 2026. At the same time, business and industry skills grew from 57% to 65% of all skills listed by this group. And AI literacy is rising quickly, too. The emerging picture isn't one of technical skills simply giving way to AI. It's a new combination: knowing how to use AI, understanding the context in which to apply it, and bringing the human judgment and capabilities that technology can't replace. Read the article to learn more ⬇️ #LinkedInSuperhumanPartnership
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LinkedIn's Economic Graph reposted this
Since returning to LinkedIn a few months ago, I’ve spent a lot of time talking with business leaders about AI, hiring and the labor market. There’s still plenty of uncertainty about where all of this is headed, but one thing is becoming increasingly clear in the data: the labor market is being reshaped in real time. Globally, hiring is down 30%, while applications per applicant are up 30%, compared to pre-pandemic levels. Companies are navigating a flood of applications while trying to identify candidates with the right mix of emerging skills and experience, and moreover who has the right mentality to bring it all together for transformation. Since 2023, AI has helped create nearly 2 million jobs globally, including roles that barely existed a few years ago. In the past year alone, demand for forward-deployed experts has grown 226%, AI forensic analyst roles are up 169%, and AI safety roles have increased 91%. Even in existing roles, skill change is underway. AI literacy requirements in job postings grew roughly 80% year over year, while human skills like critical thinking, collaboration and adaptability are also among the fastest-growing capabilities companies seek. That’s changing the questions talent leaders need to answer. What skills will our organization need next? Who has those skills today? And how do we identify trusted signals that tell us who is the right fit? It’s expanding the role of talent leaders themselves. Increasingly, they’re helping organizations think beyond individual jobs to the bigger question of how work should get done as technology, jobs and skills evolve together. We're seeing that shift reflected in the labor market itself, with Talent Intelligence emerging as one of the fastest-growing job categories on LinkedIn, and Strategic Talent Advisor roles continuing to grow rapidly. LinkedIn's new Future of Talent report looks into what these shifts mean for talent leaders and what's next in hiring: https://lnkd.in/e-qnxr7V
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LinkedIn's Economic Graph reposted this
Later this week is AI at Work Day and we have an updated beat on how workers feel about the latest tech in the current climate. Overall, while more workers feel confident upskilling in AI, there is still a lot of uncertainty around how it will impact jobs and careers, especially Gen Z. These sentiments are telling for business leaders looking to lead their workforce through AI experimentation and on to true implementation. Below is a video with more insights around our latest AI Confidence Index and see the LinkedIn News story around how sentiments shape worker experiences. https://lnkd.in/ep2KDxuJ
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LinkedIn's Economic Graph reposted this
As we mark 20 years of the World Economic Forum’s Global Gender Gap Report, progress has been real, but it is not guaranteed or linear. 69% of the gender gap has been closed, but a reversal of progress in areas like political empowerment and leadership mean we’re still 120 years away from full gender parity, and 90 years away in leadership. Put simply, this means that if we stay on the track we’re on, a girl born today will not see gender parity in her lifetime. Saadia Zahidi and I sat down to discuss what 20 years of data tells us about the progress we’ve made, its fragility in the face of external shocks, and what needs to happen next to close the gap. #gendergap26
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LinkedIn's Economic Graph reposted this
📕 Friday reading reccomendations: new work on how AI is being governed, adopted, and experienced across economies and workplaces. Earlier this week, as part of the Global Forum for AI and the Social Sciences, four publications were announced that bring together new research examining: ➡️ National AI strategies across countries in Africa ➡️ The workers and capabilities that support AI adoption ➡️ The use of collective bargaining to regulate AI and algorithmic management in Europe ➡️ How workers and labour markets are adapting to AI Find out more about the publications: https://lnkd.in/er7n8md2 Contributors include: James Lee, Rosie Hood, PhD, LinkedIn's Economic Graph, Fola Adeleke, Global Center on AI Governance, African Observatory on Responsible AI, International Development Research Centre (IDRC), Christophe Combemale, Ed Teather, AI Adoption Initiative, Carnegie Mellon University, Silvia Rainone, Wouter Zwysen, European Trade Union Institute (ETUI)