AI doesn’t just make products smarter — it makes them more powerful.
And with that power comes a responsibility that Product Managers can’t ignore: ethics.
In this episode of Product Bakar, Rishikesh Kankal tackles one of the most uncomfortable — yet unavoidable — topics in modern product management: AI ethics and the PM’s role in drawing boundaries.
We explore:
Why AI ethics is not a legal or engineering problem — but a PM problem
The real ethical questions AI products force on teams, whether they’re ready or not
The three biggest ethical fault lines in AI: bias, transparency, and harm
How PMs can bake ethics into requirements, not slide decks
Why trust, not just accuracy or engagement, determines long-term product success
This episode isn’t about slowing innovation. It’s about making sure what you build is defensible, trustworthy, and sustainable.
If you’re a PM working on AI-powered products — this conversation will change how you think about responsibility and leadership.
AI product teams don’t look like traditional product teams anymore.
Designers and software engineers are now joined by data scientists, ML engineers, and research-heavy roles — and for many Product Managers, this shift can feel intimidating.
In this episode of Product Bakar, Rishikesh Kankal breaks down how PMs can work effectively with data-heavy AI teams — without being data scientists themselves.
You’ll learn:
The real difference between data scientists, ML engineers, and software engineers
Where PMs add the most value in AI product teams
How to frame problems instead of prescribing technical solutions
Why data availability and feasibility matter more than flashy AI ideas
How to define success beyond model accuracy — focusing on adoption, trust, and business impact
Practical ways to build strong collaboration and protect your team from “AI magic” expectations
If you’re a PM working with AI teams — or about to — this episode will help you lead with clarity, credibility, and confidence.
Episode Tags / Keywords
Product Management, AI for PMs, Data Scientists, Machine Learning Engineers, AI Product Teams, Generative AI, Product Leadership, AI Strategy, PM Skills, AI Collaboration
Building AI products isn’t just about models, prompts, or metrics — it’s about people.
In this episode of Product Bakar, Rishikesh Kankal dives into one of the hardest challenges Product Managers face today: stakeholder management in the age of AI.
On one side, you have AI evangelists pushing for AI everywhere, fast.
On the other, AI skeptics worried about risk, bias, hallucinations, and compliance.
As a PM, your job isn’t to pick a side — it’s to bridge the gap.
In this episode, we break down:
How to manage over-enthusiastic AI evangelists without derailing your roadmap
How to win over skeptics using evidence, guardrails, and small experiments
Practical frameworks PMs can use to balance speed and safety
Why stakeholder trust is becoming a core PM skill in AI-driven products
If you’re building, shipping, or even talking about AI inside your organization, this episode will help you stay credible, calm, and in control.
Getting real users for interviews is hard. AI is changing that.
In this episode, we break down how synthetic users and AI-driven UX research are reshaping product discovery. Learn how PMs and designers can instantly test flows, simulate edge cases, and accelerate insights — without waiting weeks for recruitment.
But we also unpack the limits: bias, false confidence, and why humans can’t be replaced.
If you’re building in AI or pushing for faster discovery, this episode is a must-listen.
Keywords (SEO): synthetic users, AI UX research, AI in product management, UX automation, user research at scale, product discovery, AI personas, PM AI workflow, synthetic testing, AI product tools
Search as we know it is collapsing. AI is transforming how people discover information—from typing keywords into Google to simply asking and getting one clear, personalized answer.
In this episode of Product Bakar, Rishikesh breaks down the shift from “10 blue links” to AI-driven answer engines. You’ll learn why traditional search is failing, what a post-search world looks like, and how product managers can design for natural language discovery, personalization, and AI-native decision support.
Whether you’re building consumer apps, SaaS tools, marketplaces, or internal platforms—this episode will reshape how you think about discovery and product strategy in the age of AI.
Keywords / SEO Tags:
AI search, answer engines, post-search world, product discovery, conversational interfaces, AI design, personalized recommendations, AI product management, LLMs in products, future of search, ChatGPT, Perplexity AI
AI is no longer about one model answering your question — it’s about many AIs working together. In this episode, we dive into the world of multi-agent systems and why they’re becoming the next big leap in AI.
You’ll learn:
What multi-agent systems actually are (think: a digital team of specialized AIs)
How multi-agent collaboration can automate entire workflows end-to-end
Why specialization beats one giant “super AI”
How emergent behaviors like negotiation and cooperation reshape product decisions
What PMs must rethink: user journeys, interoperability, business models, and agent-to-agent decision making
We’re moving from “AI as a tool” to “AI as a team.”
And that shift will challenge every assumption in product strategy.
This is Product Bakar, Episode 34 — The Rise of Multi-Agent Systems.
Stick around for the next episode: AI and the Death of Search — Designing for a Post-Search World.
If you’ve ever opened Netflix and instantly found the right show — or hit play on a Spotify playlist that felt designed for you — you’ve seen AI at its best: discovery and personalization.
In this episode of Product Bakar, we break down how AI transforms the way users discover products, content, and experiences. From collaborative filtering and contextual recommendations to the rise of generative personalization, we explore practical frameworks PMs can use to design smarter, more intuitive products.
We also tackle the big challenge: How do you personalize without creeping users out?
You’ll learn how to build transparency, trust, and control into the experience — and why great personalization should feel like a service, not surveillance.
Perfect for Product Managers, founders, designers, and anyone building AI-first experiences.
Keywords: AI personalization, product discovery, product management, recommender systems, user experience, generative AI, contextual AI, PM podcast, AI in product management.
Agentic Commerce is coming — and it’s about to rewrite how products are discovered, evaluated, and purchased. In today’s episode, we unpack the rise of autonomous AI agents that don’t just recommend… but actually transact on our behalf.
From AI travel agents booking full trips to procurement bots negotiating supplier contracts, agentic commerce reshapes funnels, loyalty, differentiation, and decision-making itself.
As a PM, learn:
What Agentic Commerce really means
How autonomous buying/selling will change competition
Why brands must now persuade AI agents, not humans
How to design for AX (Agent Experience)
The trust, API, data, and ethical foundations you need to build
If you want to understand the next wave of AI-driven product disruption, this episode is your edge.
Most Product Managers building AI features get obsessed with one number — accuracy. But here’s the truth: accuracy doesn’t tell you if your AI product actually works for users.
In this episode of Product Bakar, Rishikesh breaks down the five real metrics that define success for AI products — adoption, trust, effort reduction, task completion, and business impact.
We’ll explore how to connect model metrics (like precision and recall) with product outcomes (like user satisfaction and ROI), and why focusing too narrowly on technical performance can hide what truly matters.
Tune in to learn:
If you’re a Product Manager, builder, or founder working with AI — this episode will change how you measure success.
Keywords: AI metrics, AI product management, Product Manager podcast, accuracy vs adoption, AI success metrics, product KPIs, user trust in AI
LLMs are everywhere — ChatGPT, Claude, Gemini — and every PM is being asked, “Can we build something with them?”
In this episode of Product Bakar, we cut through the hype and talk about what really works (and what doesn’t) when building products powered by Large Language Models.
You’ll learn:
If you’re a Product Manager, founder, or builder navigating the AI wave — this episode helps you understand where to double down and where to draw the line.
🎧 Listen to Product Bakar: Building with LLMs — What Works and What Doesn’t for PMs.
Keywords: Product Management, AI Products, LLMs, ChatGPT, Building with AI, PM Podcast, Product Bakar, AI Strategy, Product Design, Responsible AI
Episode Description
AI is powerful — but it’s also a black box. Users don’t always know how it works, why it made a decision, or whether to trust it.
In this episode of Product Bakar, Rishikesh Kankal dives into one of the most critical — and overlooked — aspects of AI product design: trust.
You’ll learn why adoption depends more on confidence than accuracy, and how product managers can embed Explainability, Transparency, and Control into their AI experiences.
👉 Here’s what we cover:
Because in the world of AI, the question isn’t “Can it work?” — it’s “Will users trust it enough to use it?”
Tags and Keywords:
Product Management, AI, Explainability, Transparency, Trust in AI, UX, Product Design, Machine Learning, Human-AI Interaction, Responsible AI, Product Bakar, Rishikesh Kankal, Product Strategy, PM Podcast
Your CEO wants AI in the product. Your engineers are excited. Customers are asking for it.
Now there are dozens of AI ideas on the table — but which ones actually create user and business value?
In this episode, Rishikesh Kankal shares a clear, actionable framework for prioritizing AI use cases in your product roadmap using three lenses: Value, Feasibility, and Risk.
You’ll learn how to evaluate which AI ideas matter most, identify quick wins that drive impact fast, and choose strategic bets that align with your long-term vision — all while avoiding hype-driven decisions.
Because great product management isn’t about adding AI everywhere — it’s about using AI where it truly makes a difference.
🎧 Key Topics Covered:
Framework: Value × Feasibility × Risk for AI prioritization
How to spot “AI for show” vs “AI that solves real problems”
Balancing short-term wins with long-term innovation bets
Keeping your roadmap focused on users, not hype
🧠 AI & SEO Keywords (for discovery):
AI product management, AI roadmap prioritization, product strategy, product leadership, AI frameworks, AI use cases, feature prioritization, AI-driven innovation, PM and AI, AI product lifecycle, AI feasibility, AI value assessment, AI risk management
#ProductBakar #AI #ProductManagement #Prioritization #Roadmapping #TechLeadership #ArtificialIntelligence #ProductStrategy
Should AI be a feature in your product — or should AI be your product? 🤔
It’s a subtle difference that completely changes your product strategy, roadmap, and even your business model.
In this 5-minute episode, Rishikesh Kankal breaks down how product managers can make this call with clarity — using real-world examples like Gmail, Canva, ChatGPT, and Notion.
You’ll learn:
When to use AI as a feature to improve existing workflows
When to build AI as the core product itself
3 guiding questions to decide the right approach
The risks and upsides of each path
How PMs can avoid the “AI for the sake of AI” trap
💡 Key Takeaway:
AI as a feature improves your product.
AI as a product defines your product.
Your job as a PM is to know the difference — and make that call intentionally.
🎙️ Product Bakar brings weekly 5-minute episodes that spark sharper thinking for modern product managers.
Next up: How to Prioritize AI Use Cases in Your Roadmap.
🔖 Tags:
#ProductManagement #AIProducts #ProductBakar #ProductStrategy #ArtificialIntelligence #ProductManager #TechPodcast #AIFeatures #ProductDesign #Roadmapping #Innovation #PMCareer #AIForPMs #RishikeshKankal
Once upon a time, every product became mobile. Then cloud. Then data-driven. Now it’s AI’s turn.
In this episode of Product Bakar, host Rishikesh Kankal breaks down why it’s inevitable that every product will soon be an AI product — and what this shift means for Product Managers.
You’ll learn:
The 3 stages of AI adoption (Invisible, Assistive, Autonomous)
Why AI is moving from feature to fabric
How PMs can stay ahead by designing for AI-native workflows
🎙️ Tune in to understand the mindset shift every PM needs:
Stop asking “Should we use AI?”
Start asking “What happens if we don’t?”
#ProductManagement #AI #ProductBakar #ProductTank #ProductManagers #AIinProducts
Most product managers today are AI tourists — they explore AI, experiment with it, maybe even launch a few features. But thinking like an AI-native PM? That’s a different game.
In this short, crisp episode of Product Bakar, we unpack what it really means to be an AI-native product manager — someone who builds with AI as the foundation, not as an afterthought.
You’ll learn:
How to shift from adding AI on top to designing from AI up.
The three traits that define AI-native PMs:
1️⃣ Curiosity about data, not just features.
2️⃣ Comfort with probabilistic, “imperfect” systems.
3️⃣ Focus on human + AI collaboration instead of replacement.
How to reframe your product questions with an AI-first mindset — from measuring trust to designing for model errors.
If you’re a PM, founder, or builder trying to stay ahead of the AI curve — this one’s for you.
Tags / Keywords
AI Product Management, Product Thinking, Data Strategy, Product Leadership, PM Mindset, Product Bakar, AI-native PM, Artificial Intelligence, Product Management Podcast, Rishikesh Kankal
We’ve always designed products for humans. But in an AI-first world, not all of your product’s “users” are human anymore. Increasingly, AI agents are researching, comparing, and even transacting on behalf of people.
In this episode of Product Bakar, we explore:
The shift from UX to AX isn’t optional — it’s already happening. The real question is: is your product ready for agents as well as people?
🎧 Follow Product Bakar for more episodes in our AI season — from building with LLMs to rethinking product metrics in an AI-first world.
Tags / Keywords:
Product Management, AI, Artificial Intelligence, Agent Experience, UX vs AX, PM Skills, Product Strategy, AI for PMs, Product Bakar, Tech Innovation
Show Notes / Links:
AI is everywhere — from boardroom conversations to the apps we use every day. But for product managers, the challenge isn’t keeping up with hype — it’s cutting through it.
In this first episode of our AI season on Product Bakar, we explore what AI really means for PMs:
Why AI feels overwhelming right now
The three lenses to think about AI — Enabler, Differentiator, and Disruptor
What PMs should focus on beyond accuracy: trust, adoption, and impact
If you’re a PM wondering how to move from “AI is cool” to “AI is useful”, this episode is for you.
Follow the show for more episodes in this season where we’ll dive into use cases, agentic commerce, and the future of PM in an AI-first world.
Keywords:
Product Management, AI, Artificial Intelligence, PM Skills, Product Strategy, AI for PMs, Product Bakar, Tech, Product Managers, Innovation
Welcome back to Product Bakar! 🚀
This season is different. We’re diving headfirst into AI and Product Management — not the hype, but the real shifts every PM needs to understand.
Over 30 sharp, practical episodes, we’ll explore:
How AI changes the way we build, design, and measure products
Whether AI is just a feature or the product itself
The rise of agentic commerce, synthetic users, and the death of search
Lessons from Spotify, Netflix, Duolingo — and failed AI products
The tough questions: ethics, bias, regulation, and will AI replace PMs?
By the end of this season, you’ll think like an AI-native PM — someone ready to cut through noise and build what really matters.
Follow Product Bakar to join the journey — and share this season with a fellow PM who’s curious (or worried) about AI.
👉 This is the AI Season. Let’s go.
We’ve reached the end of this season of Product Bakar! 🎙️
In this short wrap-up episode, Rishi shares:
A big milestone: Product Bakar just crossed 1,000 streams & downloads 🎉
What you, the listeners, had to say about the show — 45% find it super valuable, 5% want it to go deeper, and 55% haven’t explored it enough yet.
A sneak peek into what’s next: a brand-new season focused entirely on AI for Product Managers.
Thank you for tuning in, sharing, and building with us. This is just the beginning 🔥
👉 If you enjoyed this season, share your favorite episode with a teammate or friend.
Every PM talks about UX and UI — but let’s be honest, most of us confuse the two.
In this episode of Product Bakar, host Rishi Kankal breaks down what PMs really need to know about UX and UI design — without jargon or design-speak.
👉 UX ≠ UI: what they actually mean and why the difference matters
👉 The PM’s role in shaping flows, consistency, and user delight
👉 6 timeless principles of good design
👉 The most common UX/UI mistakes PMs make
👉 Real-world examples: Airbnb, Notion, Spotify, WhatsApp
👉 How AI is already shaping design — and how to use it responsibly
👉 Inspiration from legends like Dieter Rams, Jony Ive, Mathias Duarte & Don Norman
Whether you’re collaborating with designers, shipping features, or reviewing flows — this episode will sharpen your eye for design and make you a better PM.
🎧 Listen now and learn how to build products that are not just functional, but delightful.
Tags: Product Management, UX, UI, Design Thinking, AI, PM Skills, Don Norman, Material Desig