Product Impact Podcast | Secrets to unlocking the value of AI
No-nonsense advice and strategies from AI product leaders, designers, and researchers. Learn how to overcome adoption barriers and scale impact across teams and customer bases. The audience learns powerful insights that shift how they think about and leverage AI. At the core is improving the UX of using AI and enhancing the quality and consistency of products.
Episodes
15. Playbook for Increasing AI Adoption & Value Creation
Four data reports from 2026 tell a consistent story, and none of it matches the adoption narrative. Writer surveyed 2,400 global workers and C-suite leaders: 97% of executives deployed AI agents in the past twelve months, 29% reported significant ROI. Glean's Work AI Index found a name for what most knowledge workers are actually experiencing: botsitting — spending more time supervising and correc
14: AI Adoption is the Problem Everyone is Desperate to Solve — Dr. Molly Sands, Atlassian
Six months of research into the world's leading AI-powered organizations reveals a consistent split: a handful of people are seeing 10x or 20x gains, most are seeing some movement, and a significant portion of the workforce is drowning in forced change — trying to keep up with tools and mandates while watching colleagues get laid off. The organizations pulling ahead aren't pushing harder.
13. Why Managing AI Agents Is More Like Supervising Labor Than Using a Tool [Jonathan Su, Procurify]
Managing an AI agent isn't using a tool — it's supervising labor. Most companies skipped that step. In Procurify's recent survey of finance leaders, 35% said trust — not model capability — is the single biggest factor in whether their organization can actually deploy agents. The teams already shipping report 63% ROI from time savings and 60% from improved data accuracy, but only after they did the
12. How Atlassian's Chief Design Officer Builds for Agents
Every 1% increase in the context your agents receive produces a 0.38% improvement in output quality. LangChain's State of AI Agents 2026 report makes that measurable — and it makes interface design the highest-leverage investment most product teams aren't treating it as. At Atlassian Team '26 in Anaheim last week, Chief Design Officer Charlie made the case: the interface is what determines how con
11. Context Graphs Will Reshape How We Work [Jamil Valliani - VP AI, Atlassian]
The fastest teams didn't switch to a better AI model. They gave their AI memory. At Atlassian Team 2026 they showed us the next evolution of AI capabilities: 150 billion connected objects across an organization, an agent reviewing 2 billion lines of code in 2 minutes, and 44% better answers using half the tokens. Inside teams, the change is concrete: a junior analyst gets years of knowledge in
10. Why Most AI Customer Experiences Fall Flat [Rikki Singh, Twilio]
Most enterprise AI investments in customer experience are stuck somewhere between a demo and a disappointment. The Qualtrics 2026 Customer Experience Trends Report found that nearly one in five consumers who used AI customer service saw zero benefit from the interaction. The bar for what enterprises are calling AI innovation is shockingly low, and customers feel it every time they're routed to
9. Shipping AI Fast Without Breaking Everything [John Willis, 6x author]
Most companies are running AI in production right now without any plan to govern and secure their businesses. This week Claude Code wiped out a business' entire database in 9 seconds. Anything is possible when an agent is given access to everything without governance. John Willis co-wrote The DevOps Handbook a decade ago because software teams were shipping code the same way — fast, manual, no vis
8. The Most Important Data Points in AI Right Now
Stanford's 2026 AI Index just dropped. China closed a thirty-point AI performance gap to under three percent — on twenty-three times less investment. Apple picked their head of hardware as the next CEO. Anthropic's Mythos model found 271 zero-day vulnerabilities in Firefox. And Vercel and Lovable both got breached this month.We break down the numbers that should be on every product leader,
7: $490 Billion in AI Spend Is Delivering Nothing — Orchestration Is the Fix
A small cohort of engineers — Andrej Karpathy, Mitchell Hashimoto, Simon Willison — are producing in a week what used to take a month. Meanwhile, seventy-eight percent of enterprise AI deployments show no bottom-line impact. Ninety-five percent of pilots fail within six months. The gap between the people getting extraordinary results and the organizations getting nothing is not talent. It's ar
6. Robert Brunner Was the Secret to Beats' & Apple's Success — Now He's Redefining AI for the Physical World
The Apple Industrial Design Group. The original PowerBook. Beats by Dre. The June Oven. The Polaroid Cube. Square Stand. Lyft Amp. One designer is behind all of them. Now Robert Brunner is turning his attention to something the entire AI industry is getting wrong: how intelligence should actually feel in the physical world.In this episode of the Product Impact Podcast, Robert Brunner — founder of
5. The Human Impact of AI We Need to Measure [Helen & Dave Edwards]
We have benchmarks for model performance, metrics for productivity, and KPIs for everything the economy can quantify. But the impact of AI on how we think, who we become, and what we lose in the process? Nobody's measuring that — because nobody knows how.Helen and Dave Edwards have spent a decade studying what AI does TO humans, not just what it can do for us. In this episode, they challenge t
4. The AI Agent Era Will Change How We Work
AI went from chatbots to assistants to agents in three years — and each era moved the failure one layer deeper. First we got wrong answers, then wrong context, now wrong actions. The tools are moving at an extraordinary pace, and almost nobody is keeping up.In this episode of the Product Impact Podcast we tackle The Agents Era Will Change How We Work:* Why vibe coding was the proof of concept for
3. Win The AI Context Wars — Unlock The Value of Data [Juan Sequeda ]
Benchmark wars are over. Claude Code just proved it — the AI products winning right now aren't the ones with the best models, they're the ones that know their customers best. Context is the new moat.Juan Sequeda has spent 20 years solving the problem most product teams don't even know they have: your AI is only as powerful as your business's ability to predict what a customer wants
2. Five steps to defend your AI product value
AI is entering an abundance era: models get smarter, faster, and cheaper—so capability alone is no longer defensible. Feature cloning accelerates, pricing compresses, and many application-layer products get sampled and abandoned unless they prove measurable outcomes and earn long-term commitment. In this episode of the Product Impact Podcast, we break down why defensibility now matters more than c
1. Why Your AI Metrics Are Lying to You - Framework for improving AI product performance
How is it that Microsoft and OpenAI’s CEOs are telling us to panic because white collar jobs are going to be replaced by AI,Then there’s endless evidence of the opposite: Most companies that implement AI see little gains, with execs from over 80% of companies reporting no productivity gains at all.In this episode of the Product Impact Podcast we tackle Why Your AI Metrics Are Lying to You. We’ll p
Why Design of AI is becoming the Product Impact Podcast
We started the Design of AI podcast at the end of 2023 at a time when GenAI was a black box of possibilities. Our focus was to help people working in tech navigate a great time of change and unpack how to experiment this new technology. We've now moved into the next era of AI —scaling value and our podcast must adapt too. Where season one was focused on explaining AI and how roles will be forc
52. Clawd Bot & Moltbook: When Demos Hijack Reality [Jim Love]
Viral agent demos are training product teams to trust spectacle instead of outcomes—and that’s how unsafe automation slips into real workflows. In this episode we welcome Jim Love, one to the most respected voices in technology news to unpack what “Claude Bot / open claw” and Moltbook-style experiments actually prove, what they exaggerate, and why the hardest problems aren’t capability—they’re con
51. Agents Will Disrupt Search & Shopping [Devi Parikh, CEO Yutori, ex Meta
While the world is obsessed with the Moltbot/Clawdbot AI agent, founders like Devi Parikh are laying the foundation for how agents will transform search and shopping—agents that monitor, negotiate, and navigate on behalf of users, securely.Search is becoming proactive. Shopping is becoming delegated. And the next interface won’t be a results page—it’ll be agents running quietly in the background,
50. Designing AI for 2026: Trust, Cost, Orchestration [Yaddy Arroyo]
2026 will reward AI products that get three things right: trust, cost, and orchestration. This episode looks ahead at how those forces are reshaping AI product strategy—and what teams need to pay attention to now.Brittany and Arpy are joined by Yaddy Arroyo, who has spent a decade designing multimodal AI systems in financial services, where reliability and governance are table stakes. She's al
49. AI Was Supposed to Help Humans. What Happened? [Ovetta Sampson]
If you’re building your product on private large language models, you are outsourcing control of your business—your data, your roadmap, and your long‑term defensibility—to companies whose incentives do not align with yours.Ovetta Sampson is a tech industry leader who has spent more than a decade leading engineers, designers, and researchers across some of the most influential organizations in tech
48. AI Trap: Hard Truths About the Job Market
2025 is almost over, and it’s time to stop pretending everything is fine.If you work in design, writing, product, research, or agencies, you’ve felt it: fewer jobs, lower rates, shrinking teams—and an industry telling you AI is here to free you while quietly replacing you.In AI Trap, Episode 48, we break down the biggest myths we’ve been sold:AI will free creatives to do more meaningful workAI wil
47. The Future of Human–AI Creativity [Dr. Maya Ackerman]
AI is threatening creativity, but that's because we're giving too much control to the machine to think on our behalf.In this episode, Dr. Maya Ackerman — AI-creativity researcher, professor, and author of Creative Machines: AI, Art & Us — explains why the danger isn’t AI itself, but the way we’re designing AI products. She breaks down how today’s tools are unintentionally flattening or
46. The AI Commercialization Playbook: Stop Selling Tech, Start Delivering Value [Jessica Randazza Pade, Neurable]
The hardest part of building an AI product isn’t the model, it’s the market.Jessica Randazza Pade, one of today’s leading experts in AI commercialization and Head of Brand Activation & Commercialization at Neurable, joins us to share why most AI products fail and how to build ones that don’t.She explains how to close the gap between engineering and adoption, why “AI” is not a value proposition
45. Agentics: Rebuilding How We Think, Work, and Create with AI [Kwame Nyanning, Author of Agentic]
The next revolution in AI isn’t another tool, it’s a reconstruction of how organizations think, act, and create meaning. Strategist and designer Kwame Nyanning (Partner & Chief Design Officer at EY Seren) argues that the companies who win the agentic era won’t be the fastest to automate — they’ll be the first to redesign their ontology: the invisible system of goals, relationships, and decisio
44. AI Won’t Save Your Product—Discovery Will [Teresa Torres - Product Talk]
Product teams are moving fast on AI—but speed without discovery is a trap. Teresa Torres—author of Continuous Discovery Habits and one of the most trusted voices in modern product thinking—reveals why teams that skip real customer contact are building faster and failing faster.In this episode, you’ll learn how to:Avoid the AI discovery trap: Don’t fall for synthetic users, fake insights, and “disc
43. Play Unlocks the Next Billion‑Dollar AI Market [Michelle Lee, IDEO]
Product teams and founders are under pressure, stuck in incremental roadmaps and burning out on short‑term wins. Michelle Lee—Partner & Executive Managing Director of IDEO’s Play Lab—shows why play is the hidden driver of markets that reshape industries. In this episode you’ll learn how to:Break the trap of incremental roadmaps: discover how playful divergence helps teams and founders uncover
42. HubSpot’s Head of AI on How AI Rewrites Customer Acquisition & Marketing
Product and growth teams are under pressure: reps spend most of their time not selling, marketers juggle every stage of the funnel at once, and new products struggle to even be seen as LLMs start deciding who shows up.Nicholas Holland, SVP of Product & Head of AI at HubSpot, explains how AI-assisted teams are already changing that—and what happens to teams that don’t adapt.In this episode you’
41. Vibe Coding Will Disrupt Product — Base44’s Path to $80M Within 6 Months
It took 30 years to build and design an easy-to-use internet. But it took Vibe Coding one year to challenge the foundations of the internet. We’re entering an era where you can build websites and apps by talking to an AI agent and they take care of the front end and back end. Today we’re speaking with Maor Shlomo, the Founder of Base44 – we’re discussing the disruptive potential and gaps of vibe c
40. Secrets to Successful Agents: Atlassian’s Strategy for Success
There’s no denying that AI agents will transform work, but there’s no roadmap for how to design successful agents. Jamil Valliani, Atlassian’s VP & Head of Product AI, joins us to share his secrets for building AI products in one of the most respected ecosystems in tech —Jira, Confluence, Bitbucket, Trello, and more. He also spent 15 years leading products a Microsoft. In this episode you’ll l
39. The Intelligence Layer That Unlocks Your Business' Biggest Problems [Jochem van der Veer, TheyDo]
Your biggest business problems are hiding in plain sight—scattered across customer service calls, survey responses, app store reviews, and sales conversations. Our guest is Jochem van der Veer, CEO of TheyDo, reveals how organizations can unlock their biggest problems by using AI to connect data sources that were previously unimaginable. In this episode you’ll learn how to:➤ Unlock the power of yo
38. Co-Designing the Future of AI Products [Savannah Kunovsky, IDEO]
Product teams are under pressure to deliver value from AI immediately and most are failing to achieve monetization. But when large enterprises want to deliver industry-changing products, they go to IDEO, the most prestigious design consultancy in the world. Our guest is Savannah Kunovsky, Managing Director of IDEO’s Emerging Technology Lab. Savannah brings businesses from today’s realities to the
37. Emotional AI will Transform Sales, Support & Training [Paula Petcu, Interhuman AI]
What if AI had emotional intelligence? What if it could interpret our non-verbal cues? Try to use a chat bot and all of this sounds far-fetched right now, but there are startups and researchers developing specialized models that add emotional intelligence to AI-powered products. In this episode we had a discussion with the founder of Interhuman AI about use cases and possibilities of this new inte
36. Apple's Intelligence Shocks AI and How to Harness Power of Deep Research
What does it mean when the largest consumer tech company in the world says AI isn't so intelligent after all? Over the last week Apple has dominated AI headlines and not for the reason you'd expect. Their research team released a paper called "The Illusion of Thinking." (Authors: Parshin Shojaee, Iman Mirzadeh, Keivan Alizadeh, Maxwell Horton, Samy Bengio, Mehrdad Farajtabar)This
35. How AI Expands Creativity & Innovates Design [Tuhin Kumar, Luma, ex Apple Airbnb, Facebook]
There’s no doubt, AI will be able to automate product, marketing, and sales workflows. But GenAI’s greatest achievement could be expanding our creative potential. In this episode you’ll learn about:➤ How AI’s ability to understand context and intent will change everything➤ That communicating via visuals instead of words will innovate decision-making➤ The differences in working in a design-led cult
34. Bullshit Mountain: Unmasking AI's Empty Promises w/ The AI Con authors Emily M. Bender & Alex Hanna
We have two special guests. Dr. Emily M. Bender & Dr. Alex Hanna, the authors of The AI Con: How to Fight Big Tech’s Hype and Create the Future We Want. This review best captures why you should read this book:A smart, incisive look at the technologies sold as artificial intelligence, the drawbacks and pitfalls of technology sold under this banner, and why it’s crucial to recognize the many way
33. Rating AI Design to Code Products + Hacks for ChatGPT & Claude [Roger Wong]
Designers are overwhelmed with too many AI products that promise to help them simplify workflows and solve the last mile of design-to-code. With the announcements of Figma Site and Figma Make at the the Config conference, the amount of options to consider has increased even more. In this episode you’ll discover:1. Ranking of which AI design-to-code products are recommended by a UX expert2. Assessm
32. Overreliance on AI is a Problem that only Expertise can Solve [Brittany Hobbs & Arpy Dragffy]
Employers and the media are pressuring us to adopt AI quickly. But overreliance on large language models poses huge risks. Not only is GenAI highly likely to make mistakes, we’re putting the entire data set of our businesses at risk if we take AI results as immediate truth.In this episode we discuss and debate the risks and remedies for businesses rushing to adopt AI for core work flows and servic
31. AI is Disrupting Architecture and Lessons for Digital Product Teams [Matthew Krissel]
AI is changing how we design and the types of products we build. It’s still unclear exactly what the future of design looks like, but architecture reveals important lessons about how AI will transform the creative process and how it can improve the efficiency of major development projects. Matt Krissel, the Co-Founder of the Built Environment Futures Council, joins us to discuss how AI is disrupti
30. Take Control of AI’s Predictive Power [Tyler Hochman, FORE]
What seemed unimaginable a few years ago is now possible because AI is becoming cheaper and more accessible to any entrepreneur. Unlocking your data & building point solutions are the key.By focusing on high value, repeating business problems you can leverage AI’s predictive capabilities to solve any use case.This is episode 30 and our guest is Tyler Hochman, CEO of FORE Enterprise. We’re disc
29. Trust is a Double-edged Sword: AI will Transform Services [Sarah Gold]
Which products and services should we trust? How can brands earn our trust? As we enter the AI agentic era, we’re going to be faced with increasing concerns about trustworthiness. Our guest was described by John Maeda in 2024 as "the great mind of our time for services earning trust."This is episode 29 and we’re discussing: Trust is a double-edged sword: How AI will Transform Services wi
28. AI will Transform Product Research [John Whalen, Author of Design for How People Think]
AI may replace many of our jobs. UX Research is one of the roles most at risk because the technology is increasingly automating many of the tasks.. John Whalen is one of the researchers working at the forefront of leveraging AI. He joins us to map out the future of research and how anyone in product can ride the AI-augmentation wave to better individual and team results.This is episode 28 and we’r
27. Implementing AI in Creative Teams: Why Adoption Will Surge [Jan Emmanuele, Superside]
How are the world’s largest brands leveraging AI? Where are they getting the greatest ROI? What are the biggest fears and barriers to adopting AI at scale? To answer these questions we invited one of the world’s leading AI consultants to explain what’s happening today and shifts he expects in the near future. This is episode 27 and our guest is Jan Emmanuele, Director of Generative AI Consulting a
26. Designing a New Relationship with AI: Critical Mindset Shifts for Success [Sara Vienna, Metalab]
What we design and how we design are changing because of AI. It’s happening faster than anyone could imagine. Our guest Sara Vienna has been designing a new relationship with AI and she’s been doing it for years ahead of others.She is Chief Design Officer at Metalab, one of the top design consultancies in the world, she leads exceptional design talent who are leveraging AI to its fullest. Sara has
25. Faster, Cheaper, Better: AI’s Transformation of Insights & Strategy [David Boyle, author of PROMPT]
Every product, design, and business decision we make is powered by insights. Will AI help all of us to make better strategic decisions?
For two decades David Boyle has been working with the biggest brands in the world to deliver insights that inform global strategies. We discuss the future of insights & strategy in the era of AI.
➤ AI is transforming the speed and impact of research
➤ How we’r
24. Adding AI to Miro: Case Study in Improving the UX of Existing Products [Ioana Teleanu]
We’re two years into the GenAI era and there’s still plenty of uncertainty about how to best leverage AI to improve existing products. Ioana Teleanu will walk through her advice to designers and product teams looking to improve existing products. She was the lead designer, AI at Miro and runs the AI Goodies newsletter.
This is episode 24 and we’re discussing how to leverage AI to improve the UX of
23. AI in Healthcare: Challenges of Implementing in Complex Industries [Spencer Dorn, UNC, Forbes]
Healthcare is crucial. Yet healthcare systems in North America are falling behind. That’s why healthcare is constantly highlighted as the industry that will most benefit from AI. What can other industries learn from healthcare’s past and future implementations of AI?
Our guest is Spencer Dorn, the Vice Chair and Professor of Medicine at the University of North Carolina.
This is episode 23 and we’
22. Author of AI Value Playbook: Strategies & Lessons from Corporate Leaders [Lisa Weaver-Lambert]
After our recent episodes about how AI will change design, we thought it was time to hear about how AI is changing business. Our guest is Lisa Weaver-Lambert, the author of The AI Value Playbook: How to make AI work in the real world. She interviewed the leaders of 35 businesses who were early adopters of AI to define where it delivers the most value and how they’ve had to shift their strategies.
21. Redefining Design: Peter Merholz on AI and Organizational Change for Product Teams
After our last episode where Phillip Maggs outlined a vision for automating design production work, we asked ourselves,How might design organizations need to change as a result of AI? To answer this we spoke to the best in the industry, Peter Merholz who co-authored the book “Org Design for Design Orgs.” While our focus is on design, what we discuss will help anyone working on product teams.
01:4
20. Future of Design: Leveraging Design Systems & Brand to Automate Workflows [Phillip Maggs, Superside]
What’s the future of design? After seeing creative technologist, Phillip Maggs, present at Figma’s Config conference, we had to interview him. We’ll discuss industry-disrupting design automations & how they will empower human decision making.
In episode 20 we answer the questions that have been worrying designers and products teams:
➤ Which types of design will be automated
➤ Design systems &a
19. Authors of Sentient design: AI-powered self-aware experiences [Josh Clark & Veronika Kindred]
Sentient Design is the already-happening future of intelligent interfaces. Josh Clark & Veronika Kindred are here to discuss their upcoming book & vision of AI-powered experiences.
In episode 19 the authors of the upcoming book, Sentient Design, tackle the biggest topics impacting product teams:
➤ The types of intelligent experiences that generative AI enables
➤ Moving beyond the chatbot:
18. Immersive GenAI experiences: Video games' KPIs & path to joy (PlayStation's Kristie J. Fisher)
We’re exploring the intersection of video games, emerging technologies, and product team KPIs with Kristie J. Fisher, PhD, the Sr. Director of Global User Research, PlayStation Studios.
In episode 18 we explore Kristie’s experience at Playstation, Google, and Xbox and dive into how teams can build more engaging AI product experiences:
➮ Similarities, differences, and key learnings of working in ga
17. Spotify’s former data alchemist: Evaluating when & how to use GenAI [Glenn McDonald]
Episode 17. Our guest is Glenn MacDonald who was Spotify’s Data Alchemist, building it into an algorithmic powerhouse.
We’re critically evaluating algorithms' effectiveness and why GenAI probably isn’t the best technology for many problems.
The episode is hosted by:
Arpy Dragffy Guerrero (Founder & Head of product strategy, PH1 Research) https://www.linkedin.com/in/adragffy/
Brittany Hobbs (VP Ins
16. Service design of AI: Designing the first Copilot w/ Microsoft & OpenAI [Yasemin Cenberoglu]
Our guest is Yasemin Cenberoglu, who was the first designer to work on Microsoft’s Copilot, all in secret, before the world was exposed to ChatGPT for the first time.
Yasemin is a Principal Design Manager at Microsoft, leading the Copilot product for Teams Meetings, Calling, and Devices. She’s the first designer to shape what Copilot is today. Previously, she served as the Director of Design at Di
15. Futures design: Build AI products that customers want & find valuable use cases [Arpy Dragffy - PH1]
Product teams are struggling to find the use cases which deliver the most value to customers and where the technology can be effective. And teams that have built AI products are finding that there’s often a mismatch between what customers find valuable and what the technology can do. Our guest is Arpy Dragffy Guerrero, the founder of PH1 Research where he has consulted Spotify, Microsoft, Mozilla,
14. Researching & building responsible AI within tech’s biggest platforms [Jess Holbrook, Head of UX
What is the path to building responsible AI products? We have a special guest: Jess Holbrook, the Head of UX Research for Microsoft AI.
We discuss:
‣ Responsible AI: What it is and how orgs need a clear vision for it
‣ Data transparency: Ensuring you are communicating appropriately
‣ Becoming one of Google’s first user researchers working on machine learning
‣ Philosophical differences to user res
13. Unlocking AI product success: Coaching teams to navigate uncertainty & design risks [Scott Jenso
AI is changing the role of the designer and shifting how product teams succeed. We have a special guest: Scott Jenson, formerly from Apple, Google, and Frog Design.
We discuss:
• Why designers feel like their entire job will go away
• What advice he offers to the teams and individuals he coaches
• How AI is over--hyped and where it will have impact
• Lessons from working at the forefront
12. Content design: How creatives are leveraging prompt engineering to innovate ecommerce platforms
This conversation is a deep case study into what the capabilities of the technology are today and how product teams must leverage both creative experts and these emerging technologies, side-by-side. Our guest is Trisha Causley from Shopify.
Topics we discuss:
▪ Why Trisha went from an AI skeptic to a champion
▪ What types of creative tasks GenAI is best at
▪ Tactical lessons for leveraging GenAI a
11. Innovation lessons for brands and product teams investing into AI [Design of AI podcast]
Why are brands investing into AI? How can they succeed? What can we learn from how experts in the field of innovation lead transformation projects? Where will AI actually deliver impact in the near term? Joining us is Nick Sherrard, who is involved in digital innovation conversations across Fortune 500, government, and startups.
He is a co-founder of Label Sessions, the global innovation expert ne
10. AI is disrupting the design & product delivery process [Lessons for startups, enterprise & UX]
Building products with GenAI brings powerful new capabilities but also a whole new set of uncertainties. Teams can't rely on best practices because the technology is changing so quickly and users are cautiously adopting change. Designing and shipping products can no longer be thought about as a linear process.
Alexandra Holness, Senior Lead Product Designer at Klaviyo, joins to share lessons, caut
9. AI can innovate behavior change strategies & transform personalization [Amy Bucher Ph.D]
Tech has been promising personalized experiences for a decade. Now GenAI can finally deliver on that. Amy Bucher Ph.D joins us to discuss how she leverages AI for behavior change and the technology’s potential for delivering meaningful outcomes. We go into how product teams should leverage AI for best results and the types of outcomes you should design for. Dr. Amy Bucher is the Chief Behavioral O
8. Case studies: Leveraging AI to build conversational bots & analyze conversations [Design of AI po
How can AI make our workflows and products more effective? It’s a question every product team is asking itself as they decide to invest into developing or licensing products. Let’s learn from two building and leveraging AI today.
Two case study presenters from the upcoming Rosenfeld Design with AI Conference (June 4 & 5) will be with us to detail out how they leveraged GenAI. Savannah Carlin, Staf
7. The secrets to researching potential emerging tech products
Building products using emerging technologies is more difficult. As we’re seeing with building AI products today, teams are often chasing which use case and customer profiles to focus on. It’s harder because the new technologies make us obsess over what’s possible rather than what people actually need. Dr. Llewyn Paine joins us to share lessons and strategies from her advising teams working on spa
6. Venture building: Why AI products may fail w/ Ben Yoskovitz
There are so many new GenAI products coming to market that it is hard to believe even a fraction of them will become sustainable businesses. Ben Yoskovitz, Founding Partner of Highline Beta and author of Lean Analytics, joins us to discuss how many of these startups will fail to find a product-market fit. By rushing to get to market they’re likely skipping key steps that would typically improve th
5. GenAI's copyright problem: Training & derivative copies
AI has the potential to be a transformational technology. But how is it trained and how can you track authenticity? Virginie Berger, Chief Business Development and Rights Officer at Matchtune, joins us to discuss the developments with copyright issues related to creative fields in hopes of shedding light on what this means for other industries. A particular issue is what happens to business models
4. How AI is reshaping UX and the new role for designers
Emily Campbell joins us to discuss the future of UX. Her Shape of AI newsletter and community have become the go-to resource for AI product design patterns. She sees AI products getting to market with far less involvement from design than they should have. Design will undoubtedly experience shocks —with roles changing, and anti-patterns emerging— but also entirely new opportunities for design to s
3. The future of music in the era of generative AI
Maarten Walraven-Freeling, co-editor of MUSIC x and the co-CEO of Symphony Media joins the Design of AI podcast to discuss how AI will impact the music industry. We look at how digital streaming platforms and algorithmic discovery have already led to monumental changes to the business and what to expect now that generative AI tools, like Suno, are making music creation easier and more accessible.
2. How AI is changing ad agencies & the creative process
Ad agencies have always had to be ahead of their curve. They need to predict what clients need tomorrow. But AI has the potential to change everything about their workflows, business models, and value. We speak with JP Holecka, CEO of POWERSHIFTER, to find out how agencies will need to adapt. He's spent the last year training agencies on GenAI capabilities, as well as pushing the limits of the too
1. Designing AI products: Building effective products with LLMs
Peter Van Dijck, Founding Partner of AI agency Simply Put joins us to discuss how his team designs and builds AI products. Peter —formerly of Huge and Work & Co— share insights from how his background as an information architect and designer enable his team to see opportunities to discover and build the right product for orgs. We discuss the growing potential of LLMs to take on more use cases and
