About
I run practical AI Workshops for marketing teams
Most companies don’t struggle…
Most companies don’t struggle…
Articles by Zubin
Activity
32K followers
-
Zubin Kutar shared this2 years ago, most people had never heard of Claude. Today? KPMG is putting it in front of 276,000 people. That’s how power shifts happen. Quietly. Not through flashy launches. Not through social media noise. But by becoming useful enough for serious companies to trust it at scale. And honestly That’s what makes Claude fascinating right now. It doesn’t feel like it’s trying to “win the internet.” It feels like it’s trying to win work. While everyone else is chasing attention Claude is quietly becoming: - The AI for consultants - The AI for researchers - The AI for thoughtful work - The AI sitting inside enterprise workflows - The AI teams actually use for deep execution This week alone: - KPMG expanded Claude access globally - Claude for small businesses opened up - Claude Code became more powerful - Anthropic partnered with the Gates Foundation - Enterprises doubled down on adoption That is not random momentum. That is positioning. And I think Anthropic understands something many people still miss: The future AI winner may not be the loudest model. It may be the model people trust with important work. That’s a completely different game. As someone training marketing teams on AI adoption, I’m seeing this shift happen in real time. Teams initially come for speed. But they stay for reliability. They want: - Better thinking - Better outputs - Better workflow integration - Less hallucination anxiety - More confidence in decision making That’s where Claude is building a strong reputation. Especially among professionals doing high-context work. The AI race is no longer: “Who can generate content fastest?” It’s becoming: “Which AI can professionals trust for real work?” And Claude is positioning itself very intelligently there. Because the next phase of AI will not be won by novelty. It will be won by trust. P.S. The smartest thing Anthropic did was not building another chatbot. It was building an AI that feels safe enough for enterprises to adopt at scale. 📌 I help marketing teams become AI ready through practical AI workshops. Saving 10+ hours per marketer every week. The team walks out with: -Prompt frameworks for content, research, analytics and campaign planning -Real use cases applied to your own marketing funnel -Using AI for decisions not just content Fill the form in the comments below to get started
-
Zubin Kutar reposted thisMost marketers are learning AI tools. Very few are learning the language behind them. That’s the real gap. Because the moment AI moves beyond “fun experiments” into actual business workflows Words like RAG, embeddings, inference, fine-tuning, vector databases, agents, AEO, GEO suddenly start showing up in every room. Boardrooms. Vendor pitches. Marketing meetings. Product roadmaps. And most people quietly nod pretending they understand. I’ve seen this happen in workshops across companies. The biggest blocker to AI adoption is not technology. It’s vocabulary. The moment teams don’t understand the language, they stop asking questions. The moment they stop asking questions, they stop experimenting. The moment they stop experimenting, competitors move ahead. That’s why I made this simple AI vocabulary guide for marketers. Not for engineers. For marketers. Founders. Business teams. Decision makers. Because the future belongs to people who can connect: Business + AI + execution. A few terms every marketer should absolutely understand right now: -LLM The brain behind tools like ChatGPT, Claude, Gemini -RAG AI pulling information from your own documents/data before answering -Multimodal AI understanding text, images, audio and video together -Embeddings How AI “understands” similarity and meaning -Inference The moment AI actually generates an answer/output -AI Agents Autonomous systems executing workflows with minimal human intervention -AEO/GEO The future of discoverability beyond traditional SEO The AI advantage will not come from using more tools. It will come from understanding how the ecosystem actually works. That’s when you stop being AI-curious. And start becoming AI-fluent. Save this guide. Your future marketing meetings are going to sound very different. What AI term confused you the most when you first heard it? P.S. The companies winning with AI are not necessarily the ones with the best tools. They’re the ones whose teams understand the language fastest. 📌 I help marketing teams become AI ready through practical AI workshops. Saving 10+ hours per marketer every week. The team walks out with: -Prompt frameworks for content, research, analytics and campaign planning -Real use cases applied to your own marketing funnel -Using AI for decisions not just content Fill the form in the comments below to get started
-
Zubin Kutar reposted thisEveryone in marketing is asking: “What AI tool should I use?” Wrong question. Last week, at Informa Markets events I heard Pops KV Sridhar say something that cut through all the AI noise instantly: “Products are made in factories. Brands are made in people's hearts.” And honestly? That explains why so much AI generated marketing feels empty today. Because most teams are using AI to produce more content. Very few are using it to understand humans better. That distinction changes everything. I started my advertising career as an intern at Chaitra Leo Burnett. Pops was the Creative Chief. I never interacted with him directly. But I remember watching him and his team work on the tiny creative details. A word. A feeling. A consumer insight. A human emotion. At that time, I thought marketing was about ads. Later I realised it was about understanding people deeply enough to move them. That lesson matters even more in the AI era. Because AI has now removed the hard part of execution. Anyone can generate: Posts. Campaigns. Emails. Creatives. Strategies. Execution is becoming commoditised. Human understanding is not. Which means the competitive advantage is shifting. The best marketers of the next decade won’t win because they know more tools. They’ll win because they understand people better than everyone else. AI will amplify that advantage. Or expose the lack of it. That’s the real shift happening right now.
-
Zubin Kutar reposted thisZubin Kutar reposted this🚀 1 Year FREE Lovable Subscription? Yes, you read that right. Imagine building apps & websites… without writing code. without wasting time. without hiring big teams. Now imagine doing it FREE for 1 year. 👇 💡 With Lovable, you can: ✨ Build apps just by chatting with AI ⚡ Launch faster than ever 🌍 Scale without limits 🔥 Join 100K+ builders creating the future 🎁 We’re giving away LIMITED 1-Year Free Access (Yes… limited. Not everyone will get it.) Here’s how to unlock it 👇 👉 Rules to Get 1 Year FREE Subscription: 1️⃣ Like this post & comment “FREE” 2️⃣ Follow me (I’ll DM you the access) Amlesh Kumar ✅ 3️⃣ Repost for priority access 4️⃣ Get added to our Paid AI Community Group ⚠️ Person who Has LinkedIn Premium. If you're ready to build something real — this is your chance. 💬 Comment “FREE” below and let’s get you started. #AI #NoCode #Startups #free #website #web #Entrepreneurship #BuildInPublic #SaaS #AIBuilders #Tech #Innovation #LinkedInGrowth #ArtificialIntelligence #AITools #AIAutomation #FutureOfWork #TechStartups #StartupLife #DigitalTransformation #GrowthHacking #OnlineBusiness #PassiveIncome #SideHustle #FounderLife #IndieHackers #BuildInPublic #CreatorEconomy #ContentCreators #PersonalBranding #BusinessGrowth #ScaleYourBusiness #MarketingStrategy #AutomationTools #lovable #ProductivityHacks #NoCodeTools #LowCode #WebDevelopment #AppDevelopment #TechEntrepreneur #Innovate #AICommunity #DigitalCreators
-
Zubin Kutar reposted thisMost marketers are learning AI tools. Very few are learning the language behind them. That’s the real gap. Because the moment AI moves beyond “fun experiments” into actual business workflows Words like RAG, embeddings, inference, fine-tuning, vector databases, agents, AEO, GEO suddenly start showing up in every room. Boardrooms. Vendor pitches. Marketing meetings. Product roadmaps. And most people quietly nod pretending they understand. I’ve seen this happen in workshops across companies. The biggest blocker to AI adoption is not technology. It’s vocabulary. The moment teams don’t understand the language, they stop asking questions. The moment they stop asking questions, they stop experimenting. The moment they stop experimenting, competitors move ahead. That’s why I made this simple AI vocabulary guide for marketers. Not for engineers. For marketers. Founders. Business teams. Decision makers. Because the future belongs to people who can connect: Business + AI + execution. A few terms every marketer should absolutely understand right now: -LLM The brain behind tools like ChatGPT, Claude, Gemini -RAG AI pulling information from your own documents/data before answering -Multimodal AI understanding text, images, audio and video together -Embeddings How AI “understands” similarity and meaning -Inference The moment AI actually generates an answer/output -AI Agents Autonomous systems executing workflows with minimal human intervention -AEO/GEO The future of discoverability beyond traditional SEO The AI advantage will not come from using more tools. It will come from understanding how the ecosystem actually works. That’s when you stop being AI-curious. And start becoming AI-fluent. Save this guide. Your future marketing meetings are going to sound very different. What AI term confused you the most when you first heard it? P.S. The companies winning with AI are not necessarily the ones with the best tools. They’re the ones whose teams understand the language fastest. 📌 I help marketing teams become AI ready through practical AI workshops. Saving 10+ hours per marketer every week. The team walks out with: -Prompt frameworks for content, research, analytics and campaign planning -Real use cases applied to your own marketing funnel -Using AI for decisions not just content Fill the form in the comments below to get started
-
Zubin Kutar shared thisMost marketers are learning AI tools. Very few are learning the language behind them. That’s the real gap. Because the moment AI moves beyond “fun experiments” into actual business workflows Words like RAG, embeddings, inference, fine-tuning, vector databases, agents, AEO, GEO suddenly start showing up in every room. Boardrooms. Vendor pitches. Marketing meetings. Product roadmaps. And most people quietly nod pretending they understand. I’ve seen this happen in workshops across companies. The biggest blocker to AI adoption is not technology. It’s vocabulary. The moment teams don’t understand the language, they stop asking questions. The moment they stop asking questions, they stop experimenting. The moment they stop experimenting, competitors move ahead. That’s why I made this simple AI vocabulary guide for marketers. Not for engineers. For marketers. Founders. Business teams. Decision makers. Because the future belongs to people who can connect: Business + AI + execution. A few terms every marketer should absolutely understand right now: -LLM The brain behind tools like ChatGPT, Claude, Gemini -RAG AI pulling information from your own documents/data before answering -Multimodal AI understanding text, images, audio and video together -Embeddings How AI “understands” similarity and meaning -Inference The moment AI actually generates an answer/output -AI Agents Autonomous systems executing workflows with minimal human intervention -AEO/GEO The future of discoverability beyond traditional SEO The AI advantage will not come from using more tools. It will come from understanding how the ecosystem actually works. That’s when you stop being AI-curious. And start becoming AI-fluent. Save this guide. Your future marketing meetings are going to sound very different. What AI term confused you the most when you first heard it? P.S. The companies winning with AI are not necessarily the ones with the best tools. They’re the ones whose teams understand the language fastest. 📌 I help marketing teams become AI ready through practical AI workshops. Saving 10+ hours per marketer every week. The team walks out with: -Prompt frameworks for content, research, analytics and campaign planning -Real use cases applied to your own marketing funnel -Using AI for decisions not just content Fill the form in the comments below to get started
-
Zubin Kutar reposted this14% of job postings in India now require AI skills. A year ago it was 9%. Next year it will be higher. I speak to marketing leaders everyday Most still think AI upskilling is optional. "We'll get to it next quarter." Next quarter is already here. The Nasscom report just confirmed what I see on the ground every day: -86% of employers say AI has already changed job roles -73% of employees say their work has been altered -11% say their jobs have been completely transformed This is not a future problem. This is a right now problem. And here is the uncomfortable truth nobody wants to say out loud: Companies not training their teams today are not falling behind slowly. They are falling off a cliff. AI skills are no longer a bonus on a CV. They are the baseline. The floor. Not the ceiling. Marketing leaders, ask yourself this: What percentage of my team is genuinely AI capable right now? Not AI curious. AI capable. Drop your honest answer in the comments. Fill the form in comments if you need a reason to prioritise AI training this quarter. P.S. Singapore is currently ahead of India in AI linked job postings. That gap will close fast. The question is whether your team is on the right side of it when it does.
-
Zubin Kutar shared this14% of job postings in India now require AI skills. A year ago it was 9%. Next year it will be higher. I speak to marketing leaders everyday Most still think AI upskilling is optional. "We'll get to it next quarter." Next quarter is already here. The Nasscom report just confirmed what I see on the ground every day: -86% of employers say AI has already changed job roles -73% of employees say their work has been altered -11% say their jobs have been completely transformed This is not a future problem. This is a right now problem. And here is the uncomfortable truth nobody wants to say out loud: Companies not training their teams today are not falling behind slowly. They are falling off a cliff. AI skills are no longer a bonus on a CV. They are the baseline. The floor. Not the ceiling. Marketing leaders, ask yourself this: What percentage of my team is genuinely AI capable right now? Not AI curious. AI capable. Drop your honest answer in the comments. Fill the form in comments if you need a reason to prioritise AI training this quarter. P.S. Singapore is currently ahead of India in AI linked job postings. That gap will close fast. The question is whether your team is on the right side of it when it does.
-
Zubin Kutar reposted thisEveryone in marketing is asking: “What AI tool should I use?” Wrong question. Last week, at Informa Markets events I heard Pops KV Sridhar say something that cut through all the AI noise instantly: “Products are made in factories. Brands are made in people's hearts.” And honestly? That explains why so much AI generated marketing feels empty today. Because most teams are using AI to produce more content. Very few are using it to understand humans better. That distinction changes everything. I started my advertising career as an intern at Chaitra Leo Burnett. Pops was the Creative Chief. I never interacted with him directly. But I remember watching him and his team work on the tiny creative details. A word. A feeling. A consumer insight. A human emotion. At that time, I thought marketing was about ads. Later I realised it was about understanding people deeply enough to move them. That lesson matters even more in the AI era. Because AI has now removed the hard part of execution. Anyone can generate: Posts. Campaigns. Emails. Creatives. Strategies. Execution is becoming commoditised. Human understanding is not. Which means the competitive advantage is shifting. The best marketers of the next decade won’t win because they know more tools. They’ll win because they understand people better than everyone else. AI will amplify that advantage. Or expose the lack of it. That’s the real shift happening right now.
-
Zubin Kutar liked thisZubin Kutar liked thisLast month I cancelled every other AI subscription I had for LinkedIn. And moved my entire workflow into Claude. Here is exactly what Claude replaced. Level 1: Claude Chat for writing posts. Paste your best posts, ask Claude to analyze your style. Level 2: Claude Projects for memory. Upload your voice blueprint, ICP, and banned words list once. Level 3: Claude Skills for your content team. Build a Post Writer, DM Writer, and Engagement Helper all trained on your voice. Level 4: Claude Code and Design for carousels and infographics. Describe what you want, Claude builds it, and exports a PNG ready to upload directly to LinkedIn. Level 5: Cowork for research and scheduling. Set it to run every Monday morning and ten post ideas from your niche are waiting before you sit down at your desk. AI tools multiply fast and subscriptions add up even faster. The moment I went deep on one, everything changed. Claude is not just a chat tool. It is a full system if you build it right. And building it right costs $20 a month. And Claude is not paying me to say any of this. I just love this tool so much I cannot stop talking about it:) P.S. Which of these five levels are you not using yet?
Experience & Education
-
AI Fluency Labs
View Zubin’s full experience
See their title, tenure and more.
or
Licenses & Certifications
Honors & Awards
-
Jury Member - Digital Media Awards 2019
Exchange4Media
-
Jury Member - M3 Model Marketing Awards
M3 Marketing
-
100 Smartest Digital Marketing Leader
CMO Asia
-
50 Most Influential Digital Marketing Leader
World Marketing Congress
-
Panelist at Social Media Marketing Forum
World Digital Marketing Congress
-
100 Smartest Digital Marketing Leader
CMO Asia
-
Panelist at Digital Marketing Forum
Digital Marketing Congress
-
India's Greatest Chief Digital Office 2017
Asia One
-
50 Most Influential Digital Marketing Professional - 2015
Mobile & Digital Marketing Summit
Languages
-
French
-
Recommendations received
36 people have recommended Zubin
Join now to viewOther similar profiles
Explore more posts
Explore collaborative articles
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Explore More