S3E1 The Staggering Depth of Thin UI Layers with Paul English, Co-founder of Kayak and GetHuman

Before enterprises can deploy AI agents that actually work, they need something most organizations don't have: a single, authoritative source of truth. Joe DosSantos, Workday’s VP of Enterprise Data and Analytics, joins Robb and Josh for a wide-ranging conversation about canonical knowledge, the semantic layer, and why data governance, a concept from the 1990s, has suddenly become essential for AI deployment.Large language models are predictive engines modeled to anticipate what users probably likely mean. For B2C applications where multiple interpretations are acceptable, this works fine. But enterprises need deterministic truth, not probabilistic guesses. The trio outline a solution in three layers: establishing canonical knowledge, building a semantic layer to translate between human definitions and machine-readable formats like YAML, and using LLMs as an interface to deterministic back-end systems.For leaders evaluating AI investments, this episode clarifies what actually needs to be built before agents can deliver value: not flashy use cases, but the unglamorous, essential work of data governance and semantic translation.---------- Support our show by supporting our sponsors!This episode is supported by OneReach.aiForged over a decade of R&D and proven in 10,000+ deployments, OneReach.ai’s GSX is the first complete AI agent runtime environment (circa 2019) — a hardened AI agent architecture for enterprise control and scale. Backed by UC Berkeley, recognized by Gartner, and trusted across highly regulated industries, including healthcare, finance, government and telecommunications.A complete system for accelerating AI adoption — design, train, test, deploy, monitor, and orchestrate neurosymbolic applications (agents). - Use any AI models- Build and deploy intelligent agents fast- Create guardrails for organizational alignment- Enterprise-grade security and governanceRequest free prototype: https://onereach.ai/prototype/utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s7e2&utm_content=1 ---------- The revised and significantly updated second edition of our bestselling book about succeeding with AI agents, Age of Invisible Machines, is available everywhere: Amazon — https://bit.ly/4hwX0a5Chapters - 0:00 – Welcome to Invisible Machines1:28 – Why AI Agents Fail Without a Source of Truth2:34 – Canonical Knowledge Is More Than Feeding Data to an LLM3:16 – LLMs Are Good at Language, Not Truth4:16 – The Convergence of Governance and Generative AI5:48 – Implicit vs Explicit Knowledge Explained7:31 – Why Accuracy Breaks Down in AI8:37 – The Real Launchpad for AI: Get the Facts Right9:42 – Alignment, Not Intelligence, Is the Hard Problem10:53 – Semantic Layers: Teaching Machines Meaning12:38 – LLMs Are Interfaces, Not Systems14:26 – Routing Questions: Inference vs Deterministic Answers16:21 – Canonical Knowledge Requires Human Ownership18:16 – There Is No ROI for Data (It’s the Foundation)23:59 – From Use Cases to Systems ThinkingEpisode Credits:Robb Wilson - HostJosh Tyson - HostElias Parker - Executive ProducerVishal Menon - ProducerMaksym Zlydar - Audio/Video EditorMykhailo Lytvynov - Audio/Video Editor Eugen Petruk - Graphic DesignAlla Slesarenko - Copy Vira Prykhodko - Web Development #InvisibleMachines #Podcast #TechPodcast#AIPodcast#AI #AgenticAI#AIAgents#DigitalTransformation#AIReadiness #AIDeployment#AISoftware#AITransformation#AIAdoption#AIProjects#EnterpriseAI#CanonicalKnowledge#DataGovernance#SourceOfTruth#AIArchitecture#DeterministicAI

Ben Goertzel, the researcher who helped popularize the terms "AGI" and “singularity”, as one of the most influential modern champions and systematizers of AGI, returns to Invisible Machines to discuss the decentralization of AI and what's actually missing from today's most advanced systems with Robb Wilson and Josh Tyson.As enterprises rush to deploy AI agents and LLMs reshape workflows, a critical question emerges: who controls the infrastructure? Goertzel argues that while big tech dominates model development, a tension is building between centralized hegemony and decentralized, open systems — the same dynamic that shaped the internet itself.In this wide-ranging conversation, Goertzel discusses his current work on Hyperon (the successor to OpenCog) and the ASI Chain, systems designed to enable decentralized AGI development. He explains why the rapid cycles of AI hype and disappointment — the traditional "AI winters and summers" — no longer slow progress the way they once did. The speed of change has accelerated into what he calls a "mathematical singularity," where six-month cycles replace decades-long shifts.---------- Support our show by supporting our sponsors!This episode is supported by OneReach.aiForged over a decade of R&D  and proven in 10,000+ deployments, OneReach.ai’s GSX is the first complete AI agent runtime environment (circa 2019) — a hardened AI agent architecture for enterprise control and scale. Backed by UC Berkeley, recognized by Gartner, and trusted across highly regulated industries, including healthcare, finance, government and telecommunications.A complete system for accelerating AI adoption — design, train, test, deploy, monitor, and orchestrate neurosymbolic applications (agents). Use any AI modelsBuild and deploy intelligent agents fastCreate guardrails for organizational alignmentEnterprise-grade security and governanceRequest free prototype: https://onereach.ai/prototype/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s7e1&utm_content=1 ---------- The revised and significantly updated second edition of our bestselling book about succeeding with AI agents, Age of Invisible Machines, is available everywhere: Amazon — https://bit.ly/4hwX0a5#InvisibleMachines #Podcast #TechPodcast#AIPodcast#AI#AGI#ArtificialIntelligence#AgenticAI#DecentralizedAI#AIInfrastructure#AIAgents#FutureOfAI#Singularity

We’re in a moment when organizations are approaching agentic AI backwards, chasing flashy use cases instead of building the scaffolding that makes AI agents actually work at scale. Erika Flowers, who led NASA’s AI Readiness Initiative and has advised Meta, Google, Netflix, and Intuit, joins Robb and Josh for a frank and funny conversation about what's broken in enterprise AI adoption. She dismantles the myth of the "big sexy AI use case" and explains why most AI projects fail before they start. The trio makes the case that we're entering a post-software world, whether organizations are ready or not. Listen and learn why the scaffolding— or agent runtime — matters more than use cases, why organizational gaps kill AI projects, how to move projects from pilot to production, and what "post-software" actually means for enterprises.Check out Erika’s podcast, “Flower Power Hour”: https://open.spotify.com/show/15BTSl9fWiH3QTmVAYj6FdLearn more about Erika at www.helloerikaflowers.com/0:09 - NASA AI Readiness Explained | Erica Flowers on Agentic AI & Runtimes1:48 - Why the “Big Sexy AI Use Case” Is a Lie2:42 - AI Didn’t Start with ChatGPT: What NASA Has Been Doing for 30 Years4:24 - Why AI Runtimes Matter More Than Any Single Use Case5:21 - The Hidden AI Problem: Legacy Data, Silos & Organizational Reality7:13 - The Boring AI That Actually Works (And Why Enterprises Ignore It)8:10 - The AI Arms Race Nobody Understands9:22 - AI Scaffolding Explained: The Metaphor Every Leader Needs to Hear12:12 - AI Readiness Is Cultural Change, Not Just Technology14:38 - From Parking Lots to Companies: How Simple AI Agents Quietly Scale17:01 - Why Most AI Features Feel Useless in Real Products19:08 - Stop Automating Spreadsheets: Ask AI the Question Instead25:06 - The Post-Software Era: Why Designers Aren’t Enough Anymore28:33 - UI Is a Medium: How AI Will Absorb Interfaces Entirely46:24 - Infinite Content, Human Creativity, and the Future After AI---------- Support our show by supporting our sponsors!This episode is supported by OneReach.aiForged over a decade of R&D  and proven in 10,000+ deployments, OneReach.ai’s GSX is the first complete AI agent runtime environment (circa 2019) — a hardened AI agent architecture for enterprise control and scale. Backed by UC Berkeley, recognized by Gartner, and trusted across highly regulated industries, including healthcare, finance, government and telecommunications.A complete system for accelerating AI adoption - design, train, test, deploy, monitor, and orchestrate neurosymbolic applications (agents). Use any AI modelsBuild and deploy intelligent agents fastCreate guardrails for organizational alignmentEnterprise-grade security and governanceRequest free prototype: https://onereach.ai/prototype/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s6e12&utm_content=1  ---------- The revised and significantly updated second edition of our bestselling book about succeeding with AI agents, Age of Invisible Machines, is available everywhere: Amazon — https://bit.ly/4hwX0a5#InvisibleMachines #Podcast #TechPodcast#AIPodcast#AI #AgenticAI#AIAgents#DigitalTransformation#AIReadiness #AIDeployment#AISoftware#AITransformation#AIAdoption#AIProjects#NASA#AgentRuntime#Innovation#AIUseCase

As 2025 draws to a close, Robb and Josh look back on some of the conversations they had this year both on the podcast and advising major enterprises and government leaders to offer their predictions for agentic AI in 2026. With major disruptive forces like outbound AI in the hands of consumers and agent runtime environments allowing organizations to create scalable infrastructure for AI agents, next year could see seismic changes in the way investors look at companies, and the ways companies look at themselves. Featuring a look at the components of an agent runtime, as well as previews of upcoming episodes with returning guest Ben Goertzel of SingularityNET and Joshua Gans, co-author of Prediction Machines, this episode is required viewing for anyone charged with finding ROI with agentic AI. 00:00 – Introduction to 2026 Agentic AI Predictions01:12 – Outbound AI Arrives02:30 – Scaling vs. Inventing AI04:55 – Ben Goertzel Preview06:45 – Scrappy Innovation in AI08:20 – Invisible Work Explained10:00 – Agents Job-Hunting for You11:15 – Bottom-Up AI Adoption13:10 – Layoffs, Knowledge Loss & AI15:00 – The “Fake AI Expert” Problem16:25 – Why Runtimes Matter18:00 – What IDWs Actually Do20:00 – Canonical Knowledge for Agents28:20 – Invisible Work Demo37:10 – Simulation Becomes the Next Frontier---------- Support our show by supporting our sponsors!This episode is supported by OneReach.aiForged over a decade and proven in 10,000+ deployments, OneReach.ai’s GSX is the first complete AI agent runtime environment (circa 2019) — a hardened AI agent architecture for enterprise control and scale. Backed by UC Berkeley, recognized by Gartner, and trusted across highly regulated industries, including healthcare, finance, government and telecommunications.A complete system for accelerating AI adoption - design, train, test, deploy, monitor, and orchestrate neurosymbolic applications (agents). Use any AI modelsBuild and deploy intelligent agents fastCreate guardrails for organizational alignmentEnterprise-grade security and governanceRequest free prototype:https://onereach.ai/prototype/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s6e11&utm_content=1 ---------- The revised and significantly updated second edition of our bestselling book about succeeding with AI agents, Age of Invisible Machines, is available everywhere: Amazon — https://bit.ly/4hwX0a5#InvisibleMachines #Podcast #TechPodcast#AIPodcast#AI #AgenticAI#AIAgents#DigitalTransformation#AI2026#2026Predictions#ArtificialIntelligence#FutureOfWork#AITrends#AIRuntime#IntelligentDigitalWorkers#AIInvestment#EnterprisAI#AIStrategy#AIROIStrategy#AITransformation#InvisibleMachines#AIRuntime

How did a Dutch company most people haven’t heard of come to hold the fate of AI? Marc Hijink, author of Focus — The ASML Way joins Josh and Robb to explore the insatiably precise process of producing the chips that power GPUs, and with them the AI taking shape all around us. Marc is a financial reporter and technology columnist for the Dutch daily newspaper NRC, and Focus is the result of decades of uncompromising, embedded reporting on ASML, which produces 90% of all chips worldwide. Operating out of a quiet town in the Netherlands, their extreme ultraviolet (EUV) lithography machines produce a steady stream of chips working with an accuracy of within a few atoms. The trio explores how the EUV process is as much probabilistic as it is deterministic, as well as the impact that different cultures have on ASML’s partnerships and pipeline. Relying on lenses that have to be grown from crystals, lithography is a high-stakes endeavor that requires a delicate balance of tooling and advanced engineering. We need it to power everything from smartphones to washing machines to traffic lights. With China looking for inroads into this foundational technology that has been controlled by the western world, this conversation is as timely as it is fascinating.Chapters -00:00 - Inside ASML01:12 - How ASML Makes the World’s Chips03:20 - Chip Supply Chain Fragility04:55 - Marc Hijink’s ASML Reporting07:00 - The Hidden Hardware Layer08:20 - Chips & Geopolitics11:00 - Chips Are Physical Matter12:40 - Error Correction & Precision14:30 - ASML x TSMC Partnership16:45 - ASML’s Chaos Culture19:40 - Dutch vs. German Engineering28:20 - Moore’s Law Goes 3D32:10 - ASML + Mistral AI40:00 - Why ASML Can’t Be Copied49:00 - How ASML Prioritizes Orders55:10 - Agentic AI & Complexity1:02:00 - Humans Adapting to AI---------- Support our show by supporting our sponsors!This episode is supported by OneReach.ai — creators of Generative Studio X (GSX), the first complete AI Agent Runtime Environment (V1 circa 2019). Forged over a decade of R&D and proven in 10,000+ deployments, GSX lets enterprises design, build, and orchestrate secure, scalable AI agents and systems. Trusted across healthcare, finance, government, and telecom. Use any AI modelsBuild and deploy intelligent agents fastCreate guardrails for organizational alignmentEnterprise-grade security and governanceAvoid vendor lock-in.Backed by UC Berkeley and recognized by Gartner.Before you build or buy another AI solution, think about getting an AI system.Book a Demo: https://onereach.ai/book-a-demo/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s6e9&utm_content=1 ---------- The revised and significantly updated second edition of our bestselling book about succeeding with AI agents, Age of Invisible Machines, is available everywhere: Amazon — https://bit.ly/4hwX0a5#InvisibleMachines #Podcast #TechPodcast#AIPodcast#AI #AgenticAI#AIAgents#DigitalTransformation#Cybersecurity#AIInfrastructure#AIOrchestration#AIManagement#TechLeadership#Innovation#ResponsibleAI#AIStandards#OpenAI#Technology

Omar Santos is a Distinguished Engineer directing AI Security at Cisco. He’s here for a frank conversation about the realities of security in the agentic era. As more software is created on-the-fly by AI agents at the request of humans, security has to become an ever-present layer. Security will be built into complete agent runtime environments and will require constant human oversight and intervention, augmented by the ability to simulate outcomes to avoid risk. Omar is also the Co-Chair of the Coalition for Secure AI, and these are the things he’s thinking about on a daily basis. He sits down with Robb and Josh at the end of a travel blitz that included work surrounding OpenAI’s Stargate Project, a four-year $500b plan for new AI infrastructure in the United States. The trio discuss how the ongoing training of models and the rising demand for inference continue to push the demand for security across burgeoning technology ecosystems. ---------- Support our show by supporting our sponsors!This episode is supported by OneReach.ai — creators of Generative Studio X (GSX), the first complete AI Agent Runtime Environment (V1 circa 2019). Forged over a decade of R&D and proven in 10,000+ deployments, GSX lets enterprises design, build, and orchestrate secure, scalable AI agents and systems. Trusted across healthcare, finance, government, and telecom. Use any AI modelsBuild and deploy intelligent agents fastCreate guardrails for organizational alignmentEnterprise-grade security and governanceAvoid vendor lock-in.Backed by UC Berkeley and recognized by Gartner.Before you build or buy another AI solution, think about getting an AI system.Book a Demo: https://onereach.ai/book-a-demo/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s6e9&utm_content=1 ---------- The revised and significantly updated second edition of our bestselling book about succeeding with AI agents, Age of Invisible Machines, is available everywhere: Amazon — https://bit.ly/4hwX0a5Chapters - 00:00 - Intro and episode setup00:33 - Meet Omar Santos and his role in AI security01:00 - Security as the new programming02:20 - Coalition for Secure AI and security as a new language04:45 - Identity, access, and AI agents06:09 - Scaling models and mega data centers09:04 - Training vs inference and the compute explosion12:54 - Budgets, compute, and hybrid human–AI security teams15:16 - Checklists, guardrails, and spec-driven development20:00 - From IDEs to agent swarms and background agents25:19 - CodeGuard, rules for coding agents, and secure SDLC32:00 - Why doing nothing is the biggest AI security risk39:30 - Validating AI, AI safety levels, and open source dilemmas46:00 - Private networks, insider AI agents, and embedded security51:00 - Simulation, digital twins, and business-wide risk modeling#InvisibleMachines #Podcast #TechPodcast#AIPodcast#AI #AgenticAI#AIAgents#DigitalTransformation#Cybersecurity#AIInfrastructure#AIOrchestration#AIManagement#TechLeadership#Innovation#ResponsibleAI#AIStandards#Cisco#OpenAI#StargateProject#AISecurity#Technology

As the CEO and Co-founder of Apollo GraphQL, Matt DeBergalis has a lot to say about the ways that organizations can confront their inherent complexity and build reliable systems for AI to flourish. He joins Robb and Josh to talk about how GraphQL has made it easier for developers to build meaningful, AI-powered solutions.As an open-source language for APIs, GraphQL makes data fetching more precise and flexible. When utilized within an agent runtime environment, GraphQL gives organizations the ability to build their own tools. As Matt explains, this gives orgs an enormous edge with agentic AI, and helping teams move light on their feet, experiment, and adjust quickly.The trio also reminisces about the early days of the internet and agrees that ChatGPT was the mother of all demos.Looking for the Agent runtime episode - https://youtu.be/CddjTUWSaHA?si=86dSwjyE3uZGYY8FHere is recent news Apollo announced at Summit last week :https://www.apollographql.com/newsroom/press-releases/apollo-expands-platform-to-power-the-agentic-future-at-graphql-summit-2025Chapters - 00:00 - Intro and episode setup02:10 - Unsung hero moment for GraphQL and agent energy03:12 - GraphQL basics for APIs in an agent runtime04:36 - Why GraphQL won - types, tooling, developer velocity05:20 - API design UX - REST vs GraphQL for developers06:54 - From developers to builders - laypeople using agents07:00 - Will the term developer fade - future of dev work12:28 - Edit over scratch - tools that elevate product taste15:35 - Personalized small-batch software and 3D-print analogy17:31 - Agent-personalized apps beyond siloed UIs18:46 - GraphQL as business language - nouns, verbs, capabilities29:04 - Deterministic rails vs non-deterministic models in finance32:01 - Real guardrails with MCP to Agent to GraphQL51:00 - Graph as backbone of agentic AI ---------- Support our show by supporting our sponsors!This episode is supported by OneReach.ai - creators of GSX, the first complete AI Agent Runtime Environment (V1 circa 2019).Forged over a decade of R&D and proven in 10,000+ deployments, GSX lets enterprises design, build, and orchestrate secure, scalable AI agents and systems. Trusted across healthcare, finance, government, and telecom.Use any AI modelsBuild and deploy intelligent agents fastCreate guardrails for organizational alignmentEnterprise-grade security and governanceAvoid vendor lock-inBacked by UC Berkeley and recognized by Gartner.Before you build or buy another AI solution, think about getting an AI system.Book a Demo: https://onereach.ai/book-a-demo/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s6e6&utm_content=1--------------------> The revised and significantly updated second edition of our bestselling book about successful adoption of AI agents, Age of Invisible Machines, is now available anywhere you buy your books:Amazon — https://bit.ly/4hwX0a5#invisiblemachines#podcast #techpodcast #aipodcast #ai #agenticai #digitaltransformation #graphql #opensource #softwareengineering #techinnovation #digitaltransformation #futureofai #emergingtech #developertools #techtalk #MCP#ApolloGraphQL

Josh and Robb get together to share a short but deep dive into agent runtime environments. Agent runtimes are the missing piece in the many AI projects out in the world that never reach production. Robb explains how runtimes allow businesses to orchestrate AI agents so they can collaborate around business objectives and drive real ROI. Runtimes also give agents access to canonical “source-of-truth” knowledge bases and tools like MCP and A2A that allow them to pull the levers of existing software. Robb and Josh discuss the major investments in time and money required to build a runtime from scratch and why finding a complete agent runtime lets organizations make quick strides with the complex technologies associated with AI.---------- Support our show by supporting our sponsors!This episode is supported through partnership with OneReach.ai. Experience the first complete runtime for AI agents - a turnkey private architecture and tools for building enterprise-grade agentic solutions. Use any AI modelsCreate guardrails for organizational alignmentEquipped with enterprise grade security Avoid vendor lock-in.OneReach.ai’s award-winning AI agent orchestration platform meets the many requirements for seizing powerful new technologies in this pivotal moment.Interested in implementing an Agent Platform for your organization? Book a Demo: https://onereach.ai/book-a-demo/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s6e6&utm_content=1 ---------- The revised and significantly updated second edition of our bestselling book about successful adoption of AI agents, Age of Invisible Machines, is now available anywhere you buy your books: Amazon — https://bit.ly/4hwX0a5 #agentruntimes#AIruntime#InvisibleMachines #Podcast #TechPodcast#AI #AgenticAI#AIPodcast#DigitalTransformation#AIDisruption #AIAdoption#FutureOfWork #DigitalTransformation #InnovationLeadership #AIInBusiness#BusinessInnovation #onereach

Brian Solis, is a digital anthropologist and futurist who serves as the Head of Global Innovation at ServiceNow and is the former Head of Global Innovation at Salesforce. Brian is a bestselling author of Lifescale, The End of Business as We Know It, and Mindshift, which helps leaders learn how to see emerging trends, harness disruptive forces, and use them to fuel growth. Brian joins Robb and Josh to talk with us about the importance of self-disruption in AI adoption. With so many genAI projects failing to reach production, this episode looks at approaches taken by IKEA and Airbnb that have induced the kind of mind shift that invites self-disruption. Brian, who's been called the CEO whisperer, also talks about the nuanced difference between “aha” and “uh-oh” moments and the pitfalls of hopeless optimism.Brian Solis’s works: https://briansolis.com/books/Key Chapters0:00 — Intro: Josh & Rob set the stage0:34 — Guest intro: Brian Solis (ServiceNow futurist, author of Mindshift)1:07 — Why AI adoption requires self-disruption1:26 — Aha vs Uh-oh moments with AI5:30 — Why Brian is called the “CEO Whisperer”8:30 — Rethinking failure & success (beyond SV mantras)12:11 — Storytelling as strategy: Disney & Airbnb lessons21:40 — MindShift: disruption as a deliberate choice23:10 — Embrace complexity (the VC decision lens)25:10 — Iteration vs innovation: redefining growth29:00 — ROI vs “Return on Ignorance” (cost of not acting)34:01 — Multiple futures & scenario planning39:08 — Organizational AGI: companies as futurists43:28 — IKEA case study: automation + augmentation46:12 — NVIDIA & the power of simulations---------- Support our show by supporting our sponsors!This episode is supported through partnership with OneReach.ai. Experience the runtime for AI agents — a turnkey private architecture and tools for building enterprise-grade agentic solutions. Use any AI modelsCreate guardrails for organizational alignmentEquipped with enterprise grade security Avoid vendor lock-in.OneReach.ai’s award-winning AI agent orchestration platform meets the many requirements for seizing powerful new technologies in this pivotal moment.Interested in implementing an Agent Platform for your organization? Book a Demo: https://onereach.ai/book-a-demo/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s6e6&utm_content=1 --------------------> The revised and significantly updated second edition of our bestselling book about successful adoption of AI agents, Age of Invisible Machines, is now available anywhere you buy your books:Amazon — https://bit.ly/4hwX0a5#InvisibleMachines #Podcast #TechPodcast#AI #AgenticAI#AIPodcast#DigitalTransformation#AIDisruption #AIAdoption#FutureOfWork #DigitalTransformation #InnovationLeadership #AIInBusiness#BusinessInnovation 

As Global Head of AI at PayPal, Prakhar Mehrotra is looking deeply at the ways agentic AI is affecting commerce — particularly timely given PayPal and Google’s recent announcement of a multiyear strategic partnership to advance various commerce solutions. He joins Josh and Robb for a layered conversation that speculates on the shape of future marketplaces, where machines are bidding and setting prices on behalf of individuals and businesses. The trio also discuss the ways that AI is reworking the plumbing of technology within organizations and how agent runtime environments hold the key to successful adoption of AI. As the world evolves into one with more AI agents than websites, digital interactions might become simplified for users in ways that add complexity for businesses. Prakahr shares his insights into how humans might interact with technology in the future and how technology will change commerce in ways that are hard to fathom but crucial to confront.---------- Support our show by supporting our sponsors!This episode is supported through partnership with OneReach.ai. Experience the runtime for AI agents — a turnkey private architecture and tools for building enterprise-grade agentic solutions. Use any AI modelsCreate guardrails for organizational alignmentEquipped with enterprise grade security Avoid vendor lock-inOneReach.ai’s award-winning AI agent orchestration platform meets the many requirements for seizing powerful new technologies in this pivotal moment.Interested in implementing an Agent Platform for your organization? Book a Demo: https://onereach.ai/book-a-demo/?utm_source=soundcloud&utm_medium=social&utm_campaign=podcast_s6e5&utm_content=1 --------------------> The revised and significantly updated second edition of our bestselling book about successful adoption of AI agents, Age of Invisible Machines, is now available anywhere you buy your books: Amazon — https://bit.ly/4hwX0a5 Chapters -0:00 — Intro & guest: Prakhar Mehrotra, PayPal1:46 — Galaxy Quest, aliens & how LLMs “learn”3:46 — When AI gets a wallet: true agency begins6:42 — Marketing to humans vs marketing to AIs8:19 — From the information age to the intelligence age10:25 — Decision hierarchies: bots, assistants & concierge agents13:05 — Hyper-personalized pricing in the LLM era17:20 — Merchants vs consumers: who wins when agents decide19:09 — Human vs tech today, AI vs AI tomorrow (electricity wars)25:11 — Marketplaces where agents set prices (the PayPal angle)51:41 — Identity, fraud & trust: why payments need a gatekeeper54:27 — Micropayments & sub-penny agent-to-agent economies1:02:04 — PayPal as the “clearing house” of agentic commerce1:17:16 — Closing thoughts & outro#InvisibleMachines #Podcast #TechPodcast#AI #AgenticAI#AIPodcast#DigitalTransformation#AIFirst#AIAdoption#TechLeadership#Commerce#PayPal#Innovation