Artificial Intelligence and Marketing Speakers

An artificial intelligence and marketing speaker is a subject matter expert who delivers talks, workshops, or interviews focused on the intersection of AI technologies and marketing strategies. These speakers help audiences understand how machine learning, automation, data analytics, and generative AI are transforming the way brands connect with customers.

They often come from diverse backgrounds-some are data scientists who've transitioned into marketing, while others are marketers who've embraced AI tools to scale their campaigns. What unites them is their ability to translate complex AI concepts into actionable insights for marketers, business owners, and decision-makers.

Unlike general AI speakers, artificial intelligence and marketing speakers tailor their content specifically to marketing use cases. This might include topics like AI-driven customer segmentation, predictive lead scoring, or how to use ChatGPT for content creation. Their goal is to make AI feel less intimidating and more accessible to marketing professionals at any level.

You'll find these speakers at conferences like Web Summit, INBOUND, or niche virtual summits hosted on platforms like Zoom. They're also popular guests on marketing podcasts, webinars, and YouTube channels where they break down trends and tools in real time.

When you're navigating the fast-evolving world of AI in marketing, having a guide who can speak your language is more than helpful-it's essential. That's where artificial intelligence and marketing speakers come in.

These speakers serve as translators between two often disconnected worlds: the technical realm of AI development and the practical world of marketing execution. Without them, marketers might miss out on powerful tools simply because they don't understand how they work or how to apply them.

They also help cut through the noise. With so many AI tools flooding the market, it's easy to get overwhelmed. A skilled speaker can highlight what actually matters-like how a B2B SaaS company used AI to reduce churn by 30%, or how a DTC brand automated 80% of its email workflows without losing personalization.

Beyond tools and tactics, these speakers often raise critical ethical and strategic questions. Should you use facial recognition in your retail marketing? How do you ensure your AI doesn't reinforce bias? These are the kinds of conversations that elevate a marketing team from reactive to visionary.

In short, artificial intelligence and marketing speakers help businesses stay competitive, informed, and responsible in a rapidly shifting landscape.

Artificial intelligence and marketing speakers wear several hats-but not in the cliché sense. Their work spans education, strategy, and inspiration, tailored to audiences who want to understand how AI is reshaping marketing.

Here's what they typically do:

- Deliver Keynotes and Workshops. They speak at conferences, corporate events, and virtual summits to share insights on AI trends, tools, and tactics. For example, they might explain how generative AI is changing content marketing or how predictive analytics can improve customer retention.

- Break Down Complex Concepts. These speakers simplify technical jargon so that marketers, business owners, and creatives can understand and apply AI without needing a computer science degree.

- Provide Real-World Case Studies. They showcase how brands across industries-from fashion in Milan to fintech in Singapore-are using AI to personalize campaigns, optimize ad spend, or automate customer service.

- Spark Strategic Thinking. Great speakers don't just teach tools-they challenge assumptions and encourage audiences to think differently about data, automation, and customer experience.

- Consult or Collaborate Post-Talk. Some speakers offer follow-up consulting or training, helping teams implement what they've learned. Others partner with platforms like Talks.co to stay accessible to hosts and organizers.

Whether they're on stage, on Zoom, or on a podcast, artificial intelligence and marketing speakers are catalysts for smarter, more innovative marketing.

Becoming an artificial intelligence and marketing speaker isn't just about knowing your stuff. It's about building credibility, visibility, and connection. Here's a step-by-step guide to help you get started:

1. Develop Deep Expertise in AI and Marketing.
- Start by mastering the fundamentals of artificial intelligence: machine learning, natural language processing, and data analytics.
- Combine that with marketing know-how: digital strategy, consumer behavior, and performance metrics.
- Stay current. Subscribe to AI newsletters, attend marketing webinars, and follow thought leaders like Andrew Ng or Neil Patel.

2. Build a Unique Point of View.
- What's your angle? Maybe you specialize in AI for e-commerce or predictive analytics for B2B marketing.
- Create a signature framework or methodology that sets you apart.
- Use case studies or industry-specific insights to make your message resonate.

3. Create a Speaker Page.
- Use platforms like Talks.co to showcase your expertise. Add a bio, sample talk titles, testimonials, and a speaking reel.
- Include links to past interviews, podcasts, or webinars.
- Make it easy for event organizers to contact you.

4. Start Small, Then Scale.
- Pitch local meetups, virtual summits, or niche podcasts. These are great practice grounds.
- Use Talks.co to connect with hosts looking for AI and marketing experts.
- Once you've got a few gigs under your belt, aim for larger conferences like Web Summit or AI Expo.

5. Leverage Your Talks for More Visibility.
- Repurpose your talks into blog posts, LinkedIn articles, or YouTube videos.
- Ask for audience feedback and testimonials after each event.
- Build relationships with event organizers for repeat invites.

Consistency is key. The more you speak, the more you get invited to speak. And the more value you deliver, the faster your reputation grows.

To be an artificial intelligence and marketing speaker, you need more than just technical knowledge or marketing flair. You need the right mix of expertise, communication skills, and visibility. Let's break it down:

1. Subject Matter Expertise
You must understand both AI and marketing at a strategic and tactical level. That means:
- Knowing how AI tools like GPT, computer vision, or predictive analytics apply to real-world marketing.
- Understanding marketing funnels, customer segmentation, and digital ad platforms.
- Being able to bridge the gap between technical teams and business stakeholders.

2. Communication Skills
Even the smartest insights fall flat if you can't explain them clearly. Great speakers:
- Use storytelling to make complex ideas relatable.
- Tailor their message to different audiences, from C-suite execs to startup founders.
- Practice delivery techniques: pacing, tone, visuals, and audience engagement.

3. A Personal Brand
You need to be discoverable. That means:
- Having a professional speaker page on platforms like Talks.co.
- Publishing content that showcases your perspective: think LinkedIn posts, Medium articles, or podcast interviews.
- Building a network of event organizers, podcast hosts, and fellow speakers.

4. Proof of Value
Event planners want to know you'll deliver. So:
- Collect testimonials from past events.
- Share video clips or reels of your talks.
- Offer clear, actionable takeaways in your presentations.

5. A Platform to Connect
Use tools like Talks.co to connect with hosts looking for experts. It's a great way to get discovered, especially if you're just starting out.

Being a speaker is part educator, part entertainer, and part strategist. Nail all three, and you're on your way.

Yes, artificial intelligence and marketing speakers do get paid, but how much and how often depends on several factors: experience, audience size, event type, and perceived authority.
Let's look at the variables:
- Experience Level: New speakers might speak for free or for travel reimbursement. Seasoned experts can command $5,000 to $25,000 per keynote.
- Event Type: Corporate events and industry conferences usually pay more than community meetups or academic panels.
- Audience Size: A 10,000-person tech summit will likely pay more than a 50-person workshop.
- Geographic Region: U.S. and Western Europe tend to offer higher fees than some other regions, though virtual events are leveling the playing field.
Pros of Paid Speaking:
- Builds authority and opens doors to consulting or product sales.
- Generates leads and partnerships.
- Pays well once you're established.
Cons:
- It can take time to reach the paid tier.
- Travel and prep time can be intensive.
- Not all events have a budget.
Example Fee Ranges:

Speaker Level	Typical Fee Range
Beginner	$0 - $1,000
Mid-Level	$1,000 - $5,000
Expert	$5,000 - $15,000
Celebrity	$15,000 - $50,000+

So yes, they get paid. But it's not automatic. You need to prove your value and market yourself effectively.

Artificial intelligence and marketing speakers don't just rely on speaking fees. They build multiple income streams around their expertise. Here's a breakdown of how they monetize:

1. Keynote and Panel Speaking Fees
- Paid gigs at conferences, corporate events, and summits.
- Virtual events often pay less, but they scale better.

2. Workshops and Training
- Offering in-depth sessions for marketing teams or tech departments.
- These can be one-off or part of a recurring training package.

3. Consulting and Advisory Services
- Many speakers use their talks to attract consulting clients.
- For example, a speaker on AI-driven personalization might advise a retail brand on implementation.

4. Online Courses and Digital Products
- Platforms like Teachable or Kajabi make it easy to sell courses on AI marketing.
- Some bundle templates, toolkits, or frameworks as upsells.

5. Books and Publications
- Publishing a book can boost credibility and generate royalties.
- Self-publishing is common, but traditional publishing adds prestige.

6. Affiliate Marketing and Sponsorships
- Promoting tools like Jasper, HubSpot, or ChatGPT plugins during talks.
- Sponsored webinars or branded speaking engagements.

7. Event Hosting or Co-Hosting
- Hosting your own virtual summit can generate revenue through ticket sales, sponsorships, and upsells.

In short, speaking is often the tip of the iceberg. The real money comes from what you do before and after you step off stage.

Earnings for artificial intelligence and marketing speakers vary widely depending on their niche, reputation, and business model. Let's break it down:
1. Speaking Fees
- Entry-level speakers might earn $500 to $2,000 per talk.
- Mid-tier professionals can command $3,000 to $10,000.
- High-demand experts or authors may earn $15,000 to $30,000 per keynote.
- Top-tier names (think Gary Vaynerchuk or Amy Webb) can exceed $50,000.
2. Additional Income Streams
- Consulting: $200 to $500+ per hour.
- Online courses: $10,000+ per launch depending on audience size.
- Book royalties: $1 to $5 per copy, or more with bulk sales.
- Affiliate revenue: Varies, but can be significant with the right audience.
3. Annual Estimates

Speaker Type	Estimated Annual Income
Part-time Speaker	$10,000 - $50,000
Full-time Professional	$75,000 - $250,000+
Celebrity Speaker	$500,000+

4. Factors That Influence Income
- Niche specialization (e.g., AI in healthcare vs. general marketing).
- Geographic reach and language skills.
- Platform presence (e.g., Talks.co, LinkedIn, YouTube).
So while some speakers treat it as a side hustle, others build six- or seven-figure businesses around it. The key is diversification and consistent branding.

Hiring an artificial intelligence and marketing speaker can cost anywhere from a few hundred dollars to tens of thousands, depending on several key factors:
1. Speaker Experience and Reputation
- New or emerging speakers: $500 - $2,000.
- Mid-level professionals with a few years of experience: $3,000 - $7,500.
- Established experts with books, media appearances, or high demand: $10,000 - $25,000.
- Celebrity-level speakers or bestselling authors: $30,000 - $75,000+.
2. Event Type and Format
- Virtual events are generally more affordable.
- In-person keynotes often include travel, lodging, and prep time.
- Workshops or multi-day engagements cost more due to the depth of involvement.
3. Customization and Deliverables
- A pre-recorded webinar might cost less than a live, interactive session.
- Custom content, audience research, or follow-up consulting can increase the fee.
4. Location and Travel
- International travel adds to the cost.
- Some speakers charge flat rates, others bill expenses separately.
Sample Pricing Table:

Format	Typical Cost Range
Virtual Keynote	$1,000 - $7,500
In-Person Keynote	$5,000 - $25,000+
Workshop	$3,000 - $15,000
Panel Appearance	$500 - $5,000

Always clarify what's included: prep calls, slide decks, post-event access, etc. And don't forget to check platforms like Talks.co to compare speaker profiles and fees.

1. Andrew Ng. Co-founder of Coursera and former head of Google Brain. Known for making AI accessible and practical.

2. Amy Webb. Founder of the Future Today Institute. Her talks blend AI foresight with business strategy.

3. Neil Patel. While primarily a marketing expert, he often discusses AI's role in SEO and content automation.

4. Gary Vaynerchuk. Not a technical AI expert, but a top marketing voice who integrates AI trends into branding and consumer behavior.

5. Kai-Fu Lee. Former president of Google China and author of 'AI Superpowers'. Bridges East-West perspectives on AI.

6. Tameka Vasquez. A rising voice in AI ethics and marketing strategy, especially around inclusive technology.

7. Brian Solis. A digital anthropologist who speaks on AI's impact on customer experience and brand innovation.

8. Cathy Hackl. Known for her work in spatial computing and AI-driven marketing in the metaverse.

9. Seth Godin. While not an AI specialist, his insights on permission marketing and automation remain highly relevant.

10. Rohit Bhargava. Trend curator who often explores AI in consumer behavior and storytelling.

1. Amy Webb (USA). A futurist with a sharp lens on AI's role in business and marketing. Her TED Talks are must-watch.

2. Andrew Ng (Global). His ability to demystify AI makes him a favorite at both tech and marketing conferences.

3. Tameka Vasquez (USA). Known for her intersectional approach to AI, ethics, and brand strategy.

4. Tom Goodwin (UK). A marketing provocateur who often challenges how AI is used in advertising and media.

5. Purna Virji (USA/India). A voice in AI-powered search and digital advertising, formerly at Microsoft.

6. Cathy Hackl (USA/LatAm). Blends AI, AR/VR, and marketing into a compelling future-focused narrative.

7. Dr. Ayesha Khanna (Singapore). Co-founder of ADDO AI, she speaks globally on AI transformation in business.

8. Bernard Marr (UK). A data and AI strategist who frequently speaks on AI's role in customer experience.

9. Shivvy Jervis (UK). Focuses on human-centered innovation and how AI can enhance marketing empathy.

10. Christopher Penn (USA). Known for his data-driven marketing talks and practical AI applications for marketers.

Myth 1: 'Artificial intelligence and marketing speakers are just tech geeks who talk code.'
This one's easy to believe if you've only seen AI panels at developer conferences. But the best AI and marketing speakers are translators, not technicians. They bridge the gap between complex algorithms and real-world business outcomes. Take someone like Katie King, who speaks globally on AI in marketing-she doesn't dive into neural networks. She talks about customer journeys, ROI, and how AI tools like chatbots or predictive analytics change the way brands connect with people.

Myth 2: 'You need to be a data scientist to speak about AI and marketing.'
Not true. While technical knowledge helps, it's not a requirement. Many successful speakers come from marketing, psychology, or even journalism. What matters is your ability to contextualize AI's impact on marketing strategy. Think about speakers like Neil Patel-he's not a machine learning engineer, but he understands how AI tools affect SEO, content personalization, and customer segmentation.

Myth 3: 'AI in marketing is only relevant to big tech companies.'
This myth ignores the reality that small businesses are using AI every day-often without realizing it. Email automation, dynamic pricing, and AI-powered CRMs are accessible to solopreneurs and startups alike. Speakers who address rural entrepreneurs or small business owners often highlight tools like Mailchimp's AI subject line generator or Canva's Magic Write. These aren't Silicon Valley exclusives-they're global tools.

Myth 4: 'AI speakers just recycle the same buzzwords.'
Sure, some do. But the standout speakers go beyond the hype. They bring case studies, failures, and nuanced takes. They talk about algorithmic bias, data privacy, and ethical marketing. They challenge assumptions. If you're hearing the same 'AI will revolutionize everything' line over and over, you're not listening to the right speakers.

Myth 5: 'Audiences don't care about AI unless they're in tech.'
Actually, audiences care deeply-when it's relevant to them. A speaker who shows how AI can help a local bakery increase foot traffic through predictive analytics? That lands. It's all about framing. The best speakers tailor their message to the audience, whether it's a room full of real estate agents in Sydney or nonprofit marketers in Nairobi.

In 2019, Ash Fontana took the stage at Web Summit in Lisbon. He wasn't there to dazzle with jargon. Instead, he told the story of how a mid-sized logistics company in Brazil used AI to optimize delivery routes, cutting fuel costs by 30 percent. The audience? A mix of marketers, founders, and investors. The takeaway? AI isn't just for Silicon Valley-it's for supply chains in São Paulo too.

Then there's Katie King, a UK-based speaker who has advised governments and global brands. At a conference in Dubai, she walked through how a Middle Eastern telecom used AI to personalize customer offers in real time. Her storytelling focused on the human side: the marketing team that feared being replaced, the cultural nuances of targeting offers, and the eventual boost in customer retention. It wasn't just a tech talk-it was a transformation story.

In Southeast Asia, Rishi Rawat, known for his blend of humor and insight, captivated a room of e-commerce entrepreneurs in Kuala Lumpur. He shared how a Thai skincare brand used AI-generated product descriptions to increase conversions by 18 percent. But what made it memorable? He played side-by-side comparisons of human vs. AI copy and let the audience guess which was which. It was fun, interactive, and educational.

And let's not forget the grassroots speakers. In Nairobi, a local marketing strategist named Grace Muthoni built her reputation speaking at community business events. She showed how AI-driven WhatsApp bots helped small retailers manage customer service with zero extra staff. Her talks weren't flashy, but they were powerful-especially for entrepreneurs juggling multiple roles.

These speakers didn't just talk about AI. They made it real. They told stories of people, not platforms. And that's what made them successful.

Looking ahead, artificial intelligence and marketing speakers are going to need more than slides and stats. The landscape is shifting, and audiences are expecting deeper insights, more interactivity, and global relevance. Here's what's coming:

- Hyper-localization of content. Speakers will need to tailor examples and case studies to specific regions, industries, and even languages. A talk on AI in retail will look very different in Tokyo than in Toronto.
- Ethics and transparency as core themes. As AI becomes more embedded in marketing, concerns about data privacy, algorithmic bias, and consent will dominate. Speakers who can navigate these topics with clarity and nuance will stand out.
- Live AI demos on stage. Expect more real-time showcases-like generating ad copy with GPT-4 or analyzing audience sentiment using AI tools during the talk itself. It's not about gimmicks. It's about showing, not telling.
- Cross-disciplinary storytelling. The best speakers will blend marketing with psychology, sociology, and even philosophy. Why? Because AI touches everything. Talks that explore how AI affects human behavior, trust, and decision-making will resonate more.
- Audience co-creation. Interactive formats will rise. Think: live polls, AI-generated audience questions, or real-time feedback loops. Speakers will become facilitators, not just presenters.

In short, the future belongs to those who can make AI personal, ethical, and engaging. Not just informative. And as AI tools evolve, so too must the way we talk about them.

- Talks.co. A fantastic platform for matching podcast hosts with expert guests. If you're just starting out, this is a great way to get speaking experience, build authority, and test your messaging in front of diverse audiences.
- SlidesCarnival. Need to make your AI talk visually engaging? This site offers free, professional slide templates that are perfect for tech-meets-marketing topics. Tip: Choose clean designs that let your data and stories shine.
- OpenAI Playground. Want to demo AI live or generate marketing copy on the fly? This tool lets you experiment with GPT-based models in real time. Great for showing audiences how AI can support creative workflows.
- Google Trends. Use this to research what AI-related marketing topics are gaining traction in different regions. Helps you tailor your talk to what people actually care about.
- AIContentfy. A content generation platform that helps you create blog posts, product descriptions, and more using AI. Useful for building your own brand as a speaker-and for showing real-world applications of AI in content marketing.
- Canva Magic Write. A user-friendly AI writing assistant built into Canva. Ideal for showing non-tech audiences how AI can support everyday marketing tasks like social captions or email headlines.
- SpeakerHub. A directory where you can list yourself as an AI and marketing speaker, find events, and connect with organizers. Tip: Optimize your profile with keywords like 'AI in retail' or 'ethical marketing automation' to get discovered.
- Coursera - AI for Everyone by Andrew Ng. If you're still building your foundational knowledge, this free course is a goldmine. It's non-technical and perfect for marketers who want to speak confidently about AI without diving into code.