LinkedIn Introduces Rotating Slideshow Banners: A New Way To Showcase Your Personal Profile

You May also be interested in

How To Use LinkedIn Articles And Newsletters To Scale Employee Thought Leadership

In this exclusive guide, we'll show you how B2B marketing and HR teams can use LinkedIn long-form content, specifically Articles and Newsletters, to build scalable employee thought leadership that drives trust, discoverability, and pipeline signals.Purpose: Practical steps to launch and scale employee-written LinkedIn Articles and Newsletters.Outcome: Increased discoverability, shareable assets, and repeatable workflows for employee advocates.Who this helps: Marketing managers, internal comms, and HR teams running employee advocacy programs.Why long-form content matters for employee personal brandsShort posts amplify reach, but Articles and Newsletters create lasting assets.They index on LinkedIn and search engines, demonstrate expertise, and give employees a reusable content hub for speaking, sales enablement, and recruiting.LinkedIn’s own guidance on newsletters and articles shows they help authors build a subscriber base and extend reach beyond a single post. See LinkedIn’s help center for how LinkedIn newsletters work.Three reasons to include Articles and Newsletters in your employee advocacy playbookSearchable credibility: Articles live on the author’s profile and can be found via Google and LinkedIn search.Subscriber momentum: Newsletters create an opt-in audience that notifies subscribers when new issues publish.Repurposable assets: Long-form pieces feed shorter posts, videos, and sales enablement collateral.How to run a low-risk pilot for employee Articles and NewslettersStart small with a 6-week pilot that focuses on coaching, templates, and measurement.Week 0: Select authors and set goalsChoose 4 to 8 employees across sales, product, and customer success.Set simple goals: subscribers, article views, and lead signals from comments or messages.Week 1-2: Train and templateRun a two-hour workshop on topic selection and storytelling. Use practical templates: intro hook, 3 insight sections, and action items.Provide a headline swipe file and SEO tips for LinkedIn Articles.Week 3-6: Publish and amplifyPublish one article per author and convert it into a weekly or biweekly newsletter issue if traction appears.Amplify through employee networks with a simple share kit: suggested post copy, hero image, and tagging guidelines.Editorial and governance rules that keep the program scalableLong form introduces brand and compliance risk if unmanaged.Put straightforward governance in place:Lightweight editorial review for claims and sensitive content.Ownership rules: authors own voice, company reviews for legal or customer references.Republishing policy: who can repurpose company blog content and how to credit sources.Measurement: metrics that matterMeasure both direct and downstream impact.Direct: article views, read time, newsletter subscribers, and engagement rate.Downstream: inbound messages, demo requests mentioning content, and link clicks to gated assets.Track a small set of KPIs and add qualitative win stories from sales and recruiting.Repurposing playbook: get more from each long form pieceExtract 3–5 short posts promoting key quotes or stats.Create a 60–90 second video summarizing the article for LinkedIn native video.Convert article sections into a downloadable slide or checklist for lead capture.Tools such as an employee advocacy platform can automate content distribution and track amplification across the team.Best practices and examplesEncourage authenticity and useful takeaways. HubSpot’s guide to LinkedIn Articles is a practical resource for structure and optimization.Also, review industry thought leadership research to understand what audiences value in long-form content.Tip: Start with customer problems, lessons learned, or unique frameworks rather than promotional pieces. Readers subscribe for insights, not pitches.Questions AnswersQ: Who should own editorial coaching for employee newsletters?A: A cross-functional content lead or communications manager should coach authors, supported by subject matter reviewers.Q: How often should employees publish newsletters?A: Start with biweekly or monthly cadence. Frequency should match the author's bandwidth and the audience response rate.Q: Can company content be republished as employee articles?A: Yes, with clear attribution and small edits to reflect the author voice. Include a republishing clause in your governance doc.

Learn More

Loading



LinkedIn Simplifies Thought Leader Ads For Easier Discovery

LinkedIn has made it simpler for brands to discover and sponsor user-generated content (UGC) with a new, streamlined discovery feature in Campaign Manager.This update helps marketers find relevant posts that mention their brand or event across 1st, 2nd and 3rd+ degree connections - then request permission to promote them as Thought Leader Ads.What’s new in Campaign ManagerEasier content discovery: A built-in search and highlight function surfaces posts, articles and newsletter pieces that mention your brand or event.Wider reach: You can now discover content from beyond your immediate network (including 3rd+ degree connections).Partnerships tab: Sponsored content opportunities are shown in a dedicated “Partnerships” area, and you can filter by content type to streamline outreach.Why brands should careThought Leader Ads let companies amplify authentic voices, not just company posts, by sponsoring organic content created by others.LinkedIn reports these ads see about 2x higher click-through rates than comparable single-image ads, making them an attractive option for boosting engagement and credibility.Key benefits:Authenticity: Boosting real users’ posts can feel more trustworthy than brand-only messaging.Efficiency: Built-in discovery reduces time spent hunting for promotable content.Scale: Access to 3rd+ degree posts expands potential sponsorship candidates.How to use LinkedIn Thought Leader Ads (step-by-step)1) Find relevant contentUse the new discovery tools in Campaign Manager’s Partnerships tab to surface posts, LinkedIn articles or newsletters that mention your brand or event.2) Get permissionBefore promoting anything, request sponsorship permission from the content creator. LinkedIn’s workflow in Campaign Manager makes it easier to send and track those requests.3) Launch a campaignOnce approved, you can convert the organic post into a Thought Leader Ad and run it with your chosen targeting and budget.Creator monetization: a possible next stepWhile the current process focuses on sponsorship permission, the improved discovery flow could lay groundwork for future monetization for creators.If LinkedIn decides to share ad revenue with creators whose posts are sponsored, it could create a new incentive for posting brand-positive content.That said, brands and platforms should balance monetization with authentic dialogue; paid incentives can unintentionally skew commentary.Coverage and context on LinkedIn’s broader creator efforts:Best practices for brandsPrioritize relevancy: Sponsor posts that genuinely align with your messaging and values.Be transparent: Clearly communicate sponsorship terms with creators.Measure performance: Compare Thought Leader Ads’ CTR and engagement to other ad types to understand ROI.Respect authenticity: Avoid pressuring creators into overly promotional content; authentic endorsements perform best.LinkedIn’s updated discovery tools make Thought Leader Ads easier to find and activate, opening up new opportunities to amplify user voices and boost campaign performance.As this feature rolls out to more countries, it’s worth testing Thought Leader Ads alongside existing ad formats to see how UGC-driven promotions perform for your brand.

Learn More

Loading



Top Jobs Rising in 2026: AI Leads the Way

LinkedIn's annual Jobs on the Rise report tracks which roles are gaining momentum based on changes in user profiles between 2023 and 2025.The clear headline for 2026: AI-related roles are surging.From AI engineers to data annotators, the list reflects how rapidly businesses are adopting and adapting to new AI tools.This isn't speculation about future trends. It's based on actual hiring patterns and career transitions happening right now.The World Economic Forum's Future of Jobs Report predicted this shift, estimating that 23% of jobs would change by 2027 due to AI and automation. LinkedIn's data suggests we're already seeing that transformation accelerate.The top rising roles (U.S.): a quick snapshotAI Engineers - Building and deploying AI systemsAI Consultants and Strategists - Helping businesses apply AI effectivelyNew Home Sales Specialists - Real estate roles adapting to market shiftsData Annotators - Ensuring AI training data qualityAI/ML Researchers - Advancing the science behind AI modelsHealthcare Reimbursement Specialists - Navigating complex healthcare billingStrategic Advisors and Independent Consultants - Flexible expertise on demandAdvertising Sales Specialists - Adapting to changing media landscapeFounders - More professionals launching their own businessesSales Executives - Enterprise sales remains in high demandWhat's notable: six of the top ten roles are either directly AI-related or reflect broader shifts in how work is organised (consultants, founders, specialists).Gartner's research supports this pattern, showing AI technologies moving rapidly from hype to practical implementation across industries.Why AI roles are growing so fastAI tools that didn't exist a few years ago are now mainstream. ChatGPT reached 100 million users faster than any consumer application in history, and enterprise adoption has followed.Organisations now need:Technical talent to build and maintain AI models. The U.S. Bureau of Labor Statistics projects computer and information technology jobs will grow 15% through 2031, much faster than average.Strategists to apply AI effectively. Building AI is one thing. Knowing where it creates value is another. McKinsey's research estimates generative AI could add $2.6 to $4.4 trillion annually to the global economy, but only if organisations deploy it strategically.Quality-control roles like data annotators to ensure training data is reliable. AI models are only as good as their training data. MIT Technology Review has highlighted how data quality directly impacts AI reliability.Beyond technical jobs, the report highlights a rise in founders and independent consultants. More professionals are choosing flexible or self-employed paths as the market shifts. LinkedIn's Workforce Report shows self-employment and contract work growing steadily across industries.What this means for your careerDon't panic. Adapt thoughtfully.AI isn't simply a replacement for human expertise. These systems extend what people can do, but they don't "understand" outputs the way a trained professional does.Research from Stanford's Human-Centered AI Institute consistently shows that AI performs best when paired with human judgment, not when left to operate autonomously.That means:If you already have domain expertise, learning how to use AI tools will boost your productivity and opportunities. You understand context that AI cannot.If you lack core knowledge in your field, relying solely on AI can produce risky or sub-par results. AI can generate plausible-sounding content that's factually wrong or contextually inappropriate.Focus on complementary skillsSkills that combine domain knowledge, critical thinking, and AI fluency will be the most valuable. Harvard Business Review's analysis puts it simply: "AI won't replace humans. But humans with AI will replace humans without AI."The most valuable skill combinations include:Data literacy - Understanding how to interpret, question, and apply data insights. Data Literacy Project research shows only 24% of employees feel confident working with data.Model evaluation - Knowing when AI outputs are reliable and when they need verification.Prompt engineering - OpenAI's best practices show that how you ask AI matters as much as what you ask.Human judgment - The ability to spot where AI outputs need correction, context, or ethical consideration.Practical steps to prepare and upskillStart with purposeIdentify how AI could augment your current role rather than replace it. Ask yourself: What repetitive tasks consume my time? Where could AI handle first drafts while I focus on refinement?Anthropic's research on AI-assisted work suggests the biggest productivity gains come from using AI for structured, repeatable tasks while reserving human effort for judgment-intensive decisions.Mix learning modesCombine technical tutorials with real-world projects and mentorship. LinkedIn Learning's research shows that employees who apply new skills immediately retain significantly more than those who only complete courses.Online courses for foundational knowledgeSide projects for hands-on practiceMentorship for context and career guidanceCommunity participation for ongoing learningTake advantage of free resourcesLinkedIn Learning is offering free courses tied to the "Jobs on the Rise" skills through February 6 (check the full report for details).Other quality free resources:Google's AI Essentials courseMicrosoft Learn's AI modulesCoursera's AI for Everyone by Andrew NgWhere to learn more (trusted resources)LinkedIn's full Jobs on the Rise 2026 report - The primary source for this analysisWorld Economic Forum Future of Jobs Report - Global perspective on workforce transformationMcKinsey Future of Work insights - Research on AI adoption and workforce implicationsO*NET OnLine - U.S. Department of Labor's detailed job descriptions and skill requirementsBureau of Labor Statistics Occupational Outlook - Official U.S. job growth projectionsHow organisations can respondCompanies should invest in reskilling programmes that pair AI tool training with domain-specific knowledge. PwC's Global Workforce Hopes and Fears Survey found that 74% of workers are ready to learn new skills, but only 40% feel their employer provides adequate upskilling opportunities.The gap between employee willingness and employer investment represents both a risk and an opportunity.Internal mobility matters. LinkedIn's Workplace Learning Report shows employees at companies with strong internal mobility stay nearly 2x longer.Storytelling accelerates culture change. Employee advocacy platforms can help amplify upskilling stories, highlight internal mobility, and showcase how teams are evolving. This makes it easier to attract talent in a competitive market where candidates increasingly research company culture before applying.When employees share their learning journeys and career growth publicly, it signals that your organisation invests in people. Glassdoor research shows 86% of job seekers research company reviews and ratings before applying.The 2026 Jobs on the Rise report is a reminder that change is accelerating. AI roles are rising, but the winners will be professionals and organisations that combine human expertise with the right AI tools.The opportunity isn't about becoming an AI expert overnight. It's about understanding how AI fits into your domain and developing the judgment to use it effectively.Start where you are. Learn continuously. Share what you discover.Curious how employee advocacy can help your team ride this wave?Explore how Vulse can amplify skills, share success stories, and attract top talent. Book a demo to see how employee advocacy supports your workforce development goals.

Learn More

Loading