25 AI Creators Worth Following: Marketing, Finance, Engineering, and More
Disclaimer: This list is editorial, not sponsored, and will be updated quarterly.
LinkedIn has quietly become the best platform for AI professionals who want signal over noise. While X/Twitter moves fast and Reddit gets deep into niche topics, LinkedIn delivers something different: AI insights filtered through professional experience, real-world implementation stories, and frameworks you can apply Monday morning.
But with thousands of people posting about AI daily, finding voices worth following can feel overwhelming. That's why we created this category-based guide. Whether you're in marketing wondering how to use AI for campaigns, a finance professional exploring automation, or an engineer building AI tools, there's a curated list here for you.
How to use this guide: Jump to your category using the table of contents below. Follow 3-5 voices from your primary category, then explore adjacent areas. Use LinkedIn's Favorites feature to prioritize these creators in your feed without the noise.
How We Picked and Ranked These AI Voices
We evaluated each creator using a simple, defensible scoring rubric (0-10 points total):
- Relevance to Category (0-3 points): Does this person consistently post about AI within their specific domain? Do they bring unique industry perspective?
- Credibility Signals (0-3 points): Current role, publications, speaking engagements, notable work, LinkedIn "Top Voice" badge, company they've built or led.
- Posting Consistency (0-2 points): Do they post regularly (at least weekly)? Is their content reliably valuable?
- Practicality (0-2 points): Do they share templates, breakdowns, frameworks, or actionable insights you can use immediately?
What counts as an "AI Voice": Someone who posts consistently about AI topics within their category, offering original insights rather than just resharing news. They connect AI to real-world applications in their domain.
Update Cadence: This list is reviewed and updated quarterly to reflect new voices, changing posting patterns, and evolving expertise.
Category 1: AI for Marketing & Growth
These creators focus on practical AI applications for marketers, growth professionals, and content strategists. Expect tool reviews, workflow automations, campaign frameworks, and real implementation stories.
Paul Roetzer
Best for: Strategic AI adoption in marketing organizations
Why follow:
- Founder & CEO of Marketing AI Institute—has been tracking AI in marketing since before ChatGPT made it mainstream
- Co-author of "Marketing Artificial Intelligence" and hosts The AI Show podcast
- Shares realistic assessments of AI tools without the hype—tells you what actually works
Topics you'll see: AI strategy, marketing automation, content AI, tool evaluations, industry trends, enterprise adoption
Mike Kaput
Best for: Weekly AI news digests and content marketing applications
Why follow:
- Chief Content Officer at Marketing AI Institute—curates the signal from the noise
- Co-hosts The AI Show with Paul Roetzer, breaking down weekly AI developments
- Translates complex AI news into marketing implications you can act on
Topics you'll see: AI news analysis, content creation, writing tools, marketing tech, weekly roundups
David Berkowitz
Best for: AI and marketing leadership perspective with agency experience
Why follow:
- Decades of marketing leadership experience at agencies and brands—brings institutional knowledge
- Bridges the gap between AI capabilities and marketing strategy
- Thought-provoking takes on how AI is reshaping the marketing profession
Topics you'll see: Marketing transformation, AI ethics in advertising, creative AI, industry commentary
Ruben Hassid
Best for: AI automation demos and practical tool tutorials
Why follow:
- Creates viral video content showing AI tools in action—see before you buy
- Massive following for a reason: his content is immediately applicable
- Focuses on automation workflows that save real time
Topics you'll see: AI tool demos, automation workflows, productivity hacks, ChatGPT tutorials, video AI
Category 2: AI in Finance, Investing & Markets
These voices focus on AI applications in financial services, fintech, banking, investing, and market analysis. Expect discussions on algorithmic trading, risk assessment, regulatory implications, and digital transformation in finance.
Theodora Lau
Best for: Fintech innovation and AI in banking
Why follow:
- Founder of Unconventional Ventures—deep expertise in fintech and financial inclusion
- Author and speaker who connects AI innovation to real banking challenges
- Focuses on responsible AI adoption in financial services
Topics you'll see: Fintech trends, banking AI, financial inclusion, responsible innovation, digital transformation
Maik Klotz
Best for: European fintech perspective and AI in finance podcasting
Why follow:
- Brings a European lens to AI in finance—valuable for global perspective
- Podcast host covering AI applications in financial services
- Connects payment innovation with AI capabilities
Topics you'll see: Payments, European fintech, banking innovation, AI regulation, digital banking
Eddie Donmez
Best for: Finance professional applying AI to investment analysis
Why follow:
- Practitioner perspective—shows how finance professionals actually use AI tools
- UK-based voice bringing international market insights
- Shares real workflows and tool applications
Topics you'll see: Investment analysis, AI tools for finance, market insights, productivity
David Conde Sayans
linkedin.com/in/davidcondesayans
Best for: AI and finance intersection with Spanish/European focus
Why follow:
- Positions AI within broader financial services context
- European regulatory perspective on AI in finance
- Connects technology innovation to financial strategy
Topics you'll see: Financial AI, European markets, banking technology, digital strategy
Sharad Gupta
Best for: Banking growth and AI-driven transformation
Why follow:
- Focus on how banks can leverage AI for growth and customer experience
- Practical insights on digital banking transformation
- Bridges strategy and technology implementation
Topics you'll see: Banking strategy, AI implementation, customer experience, digital transformation
Category 3: AI Startups, Product, and Builders
These creators are building AI companies or advising those who are. Follow them for startup insights, product development strategies, fundraising perspectives, and real talk about what it takes to build in AI.
Allie K. Miller
Best for: AI business strategy and enterprise adoption
Why follow:
- Former Amazon AI leader—has enterprise implementation experience at scale
- One of the most followed AI voices on LinkedIn for good reason
- Breaks down complex AI concepts into actionable business insights
Topics you'll see: AI strategy, enterprise adoption, career advice, industry trends, startup ecosystem
Arvind Jain
Best for: Enterprise AI product building and startup leadership
Why follow:
- Founder & CEO of Glean—building one of the leading enterprise AI search companies
- Former Google engineering leader with deep technical credibility
- Shares real insights on building AI products for the enterprise
Topics you'll see: Enterprise AI, product development, startup building, knowledge management, search AI
Aishwarya Srinivasan
linkedin.com/in/aishwarya-srinivasan
Best for: AI developer relations and hands-on building
Why follow:
- AI/ML professional focused on developer education and community
- Creates accessible content for those learning to build AI applications
- Balances technical depth with practical applicability
Topics you'll see: AI tutorials, developer tools, ML engineering, learning resources, coding best practices
Category 4: AI Engineering, Research, and Tooling
These are the researchers, engineers, and educators pushing AI forward. Follow them for technical insights, research breakdowns, engineering best practices, and understanding where AI is actually heading.
Andrew Ng
Best for: AI education and practical ML implementation
Why follow:
- Founder of DeepLearning.AI and Coursera—has taught millions to understand AI
- Former Google Brain and Baidu AI leader—impeccable research credentials
- Shares thoughtful commentary on AI progress without the hype
Topics you'll see: AI education, machine learning, research updates, industry analysis, practical tutorials
Yann LeCun
Best for: Deep learning research and AI future directions
Why follow:
- Turing Award winner and Chief AI Scientist at Meta—top-tier research credibility
- Pioneer of convolutional neural networks—shaped modern AI
- Offers unfiltered takes on AI progress, limitations, and future directions
Topics you'll see: AI research, deep learning, AGI debate, open source AI, scientific commentary
Fei-Fei Li
Best for: Human-centered AI research and responsible development
Why follow:
- Stanford professor and co-director of Human-Centered AI Institute
- Created ImageNet—foundational dataset that enabled modern computer vision
- Bridges technical research with human and societal implications
Topics you'll see: Computer vision, human-centered AI, research ethics, healthcare AI, education
Chip Huyen
Best for: ML systems engineering and practical implementation
Why follow:
- Author of "Designing Machine Learning Systems"—the go-to book for ML engineering
- Former NVIDIA and Snorkel AI—real production ML experience
- Shares frameworks and best practices for building ML systems that work
Topics you'll see: MLOps, system design, production ML, LLM engineering, practical tutorials
Kirk Borne
Best for: Data science leadership and AI/ML industry trends
Why follow:
- Chief Science Officer with decades of data science and astrophysics background
- Prolific curator of data science and AI content
- Connects technical concepts to business applications
Topics you'll see: Data science, machine learning, analytics, industry trends, educational resources
Category 5: AI Governance, Risk, and Ethics
As AI scales, governance becomes critical. These voices focus on responsible AI, risk management, policy implications, and ethical frameworks. Essential follows for anyone implementing AI in regulated industries or caring about AI's societal impact.
Ravit Dotan, PhD
Best for: AI ethics education and practical governance frameworks
Why follow:
- PhD in AI ethics—deep academic grounding with practical focus
- Translates complex ethical concepts into actionable guidance
- Helps organizations implement responsible AI practices
Topics you'll see: AI ethics, responsible AI, governance frameworks, risk assessment, policy implications
Peeyush Tiwari
Best for: AI governance implementation and risk management
Why follow:
- Focused on practical AI governance frameworks for organizations
- Bridges regulatory requirements with implementation reality
- Shares actionable governance checklists and processes
Topics you'll see: AI governance, risk management, compliance, policy frameworks, organizational change
Edosa Odaro
Best for: AI value creation balanced with risk management
Why follow:
- Positions AI governance as enabler, not just risk mitigation
- UK-based perspective on AI regulation and compliance
- Connects governance to business value and competitive advantage
Topics you'll see: AI value, risk governance, compliance, UK/EU regulation, data strategy
Frequently Asked Questions
What does "LinkedIn Top Voice" mean?
LinkedIn Top Voice is a badge awarded by LinkedIn to creators who demonstrate expertise and engagement in specific topics. It's earned through consistent, high-quality posting that generates meaningful engagement. While it's a credibility signal, we don't weight it heavily in our scoring—substance matters more than badges.
How do I follow these creators without cluttering my feed?
LinkedIn offers several features to manage your feed:
- Favorites: Add creators to your Favorites list—their posts will appear in a dedicated Favorites feed you can check separately
- Bell Notifications: Click the bell icon on someone's profile to get notified when they post—great for must-read creators
- Mute vs. Unfollow: If you're following someone who posts too frequently, you can mute them temporarily rather than unfollowing
Pro tip: Follow 3-5 people from each relevant category, add the most valuable to Favorites, and check that feed weekly for concentrated insights.
How do I find more AI voices in my country or region?
To find region-specific AI voices:
- Use LinkedIn's search with location filters—search "AI" + your city/country
- Check who the creators in this list are engaging with—regional voices often appear in their comments
- Look at attendee lists from local AI conferences or meetups
- Follow local tech publications and see who they're quoting on AI topics
How often is this list updated?
We review and update this list quarterly. The AI landscape moves fast, and posting patterns change. Some creators become less active, new voices emerge, and expertise evolves. Check back each quarter for the latest recommendations.
Suggest Someone to Add
Know an AI voice we're missing? We're always looking to discover new creators who bring unique perspectives and practical value to their categories.
What we're looking for:
- Consistent posting (at least weekly) about AI within a specific domain
- Original insights rather than just resharing news
- Real-world experience or credentials in their category
- Practical content that readers can act on
To suggest someone, email us with:
- Their LinkedIn profile URL
- Which category they belong to
- A brief note on why they'd be valuable to follow
Contact: suggestions@visionarytalks.com
Related Resources:
- Top AI Podcasts to Subscribe To
- Best AI Newsletters for Professionals
- AI Communities and Slack Groups Worth Joining