Podcasts about human ai

Spending more time fixing your AI outputs then you're saving? You're not alone. The trap? You're in operator mode. Falling for the industry status quo like upskilling and human-in-the-loop. The real winners in the AI race? Companies that have changed the human-AI relationship. How? Join us for Volume 4 of our Start Here Series as we uncover what you need to know. Human-AI Collaboration: Best practices for working alongside AI -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Human-AI Collaboration Best Practices 2026Shift from Operator to Orchestrator RolesHuman-in-the-Loop Limitations ExplainedExpert-Driven AI Review Loops vs. Generic OversightOrchestrating AI Agents for Business ProductivityBuilding Reusable AI Context and SkillsElevating AI Champions on TeamHuman Strengths vs. AI Strengths in WorkflowsAvoiding Augmentation Debt and Workflow PitfallsMindset Shifts for Effective AI ManagementTimestamps:00:00 "Everyday AI: Start Here"03:23 "AI Shift: Operator to Orchestrator"06:35 "Unlearn to Harness AI"11:15 "AI Surpassing Human Collaboration"15:11 Expert-Driven AI Process Loops18:10 "Expert Collaboration Boosts AI ROI"23:59 "Outsmarting AI Through Expertise"26:30 "Navigating AI Success Strategies"31:19 "Embrace AI, Elevate Your Team"32:18 "Embrace AI, Elevate Humanity"Keywords: Human-AI collaboration, AI best practices, working alongside AI, human-AI relationship, AI orchestration, AI orchestrator, shift from operator to orchestrator, agentic workflows, AI agents, digital agents, expert-driven loops, expert oversight, senior partners with AI, context engineering, AI processes, context vaults, AI skills files, company data, chain of thought review, large language models, AI-powered workflows, AI expertise, AI in business, AI productivity, AI risk management, human in the loop, upskilling, reskilling, unlearning, AI mindset shift, augmented intelligence, multi-agent systems, AI automation, organization AI strategy, context quality, AI champion, domain experts, AI team integration, competitive advantage with AI, process redesign for AI, AI-powered decision making, accountability in AI, empathy in AI, ambiguous decision-making, novel judgment.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Parce que… c'est l'épisode 0x32A! Shameless plug 19 septembre 2026 - Montréal Canada - - Bsides Montréal 2026 22 septembre 2026 - Belgique - - BE-Cyber 24 au 25 septembre 2026 - Belgique - - BruCON 1er au 3 octobre 2026 - Krakow, Pologne - - AligatorCon 13 et 14 novembre 2026 - Worldwide - - DEATHCon 16 au 19 novembre - Rennes, France - Pôle d'Excellence Cyber (PEC) - European Cyber Week 2026 1 au 3 décembre 2026 - Ottawa, Canada - Forward Global - Forum inCYBER Canada Notes IA ou Ghost in the shell Sandbox pour les nuls Black Hat USA 2026: The ‘Breaking' News: The OpenAI–Hugging Face Incident Anthropic's AI used fake identities, malware in rogue attack on GitHub project AISI, OpenAI report more ‘unsanctioned' model hacks Kimi K3 AI Model Escapes Sandbox During Security Test to Fetch Answers Anthropic: Security Gaps, Not Model Issues Led to Claude Attacks Incident Report: unsanctioned agent behaviour during cyber testing Third-party cyber evaluations involving OpenAI models An AI model from Meta also hacked another company during testing Now we have a timeline of the OpenAI accidental attack against Hugging Face Comment: Now we have a timeline of the OpenAI accidental attack against Hugging Face AI researchers let models off the leash – then watched as they tried to add malware to a FOSS project OK, Well, Rogue AI Agents Are Hacking Again On jase là OpenAI Didn't Notice Its AI Agents Using a Message Board to Plan Their Hacking Spree OpenAI Trained Its Models For Months While Those Models Were Coordinating Exploits Via Message Boards OpenAI reveals its rogue agent swarm went a little bit Borg ahead of Hugging Face hack Prompt to fail Bypassing AI guardrails is so easy a script kiddie can do it Prompt injection isn't the bug, AI agent frameworks are Slow guardrails OpenAI Slows Down New Astra Model Development to Measure Cybersecurity Capabilities OpenAI pledges to add Astra security as Anthropic loosens Fable's leash Human AI helps Microsoft bug hunters chase a record $20M payday Humans in the loop miss a third of dangerous AI coding agent requests AI struggles to patch vulns without adult supervision The Most Dangerous AI Hacking Techniques Still Have Humans in the Loop A Unified Framework for Human AI Collaboration in Security Operations Centers with Trusted Autonomy LLM-Assisted Detection and Repair of Hardware Security Vulnerabilities in Verilog Designs LLMs won't break symmetric crypto AI is ‘both the weapon and the target' in latest wave of cyberattacks AI slop pollutes the CVE pipeline with fake vulns Cloudflare has mostly ditched third party security tools, suggests not trying that at home ‘Asimov was right' about rules for robots, says ex-US Cyber Director La guerre, la guerre, c'est pas une raison pour se faire mal! En eau brouille Cyberattacks on water systems expand to 12 states as South Dakota, Georgia announce incidents Water system controllers don't belong on the internet, says ex-NSA chief after suspected Iran attacks US company's AI lets Ukraine's cheap kamikaze drones track targets on their own Souveraineté ou vive le numérique libre! Senators warn Trump's AI interventions could drive users to Chinese models Pluralistic: Post-American compute for a post-American Internet (04 Aug 2026) Privacy ou cachez ces informations que je ne saurais voir What the Flock Southold is being wired into Suffolk County's open-air prison ‘DO NOT MENTION ALPR USAGE': How Cops Are Trying to Hide Their Use of Flock Cities Are Ditching Flock, Immediately Replacing It With Axon License Plate Readers Flock Pitched a Plan To Turn Uber and Lyft Drivers Into Roaming Surveillance Vehicles Rogue Police Officers Have Turned Flock's Nationwide Camera Network Into a Stalking Tool More Police Officers Fired, Investigated, or Arrested for Misusing Flock Camera Systems Texas Police Used 83,000+ Flock Cameras to Hunt Down A Woman Who Had An Abortion I am the law The SCREEN Act is a Christian Nationalist Nightmare Judge rules Meta caused “public nuisance” and must fund mental health treatment EU Age Verification Project Mandates Hardware-Bound Attestation Why the Answers to Hateful Content Online are Hiding in the Platforms' Own Rules Apple Launches Legal Challenge Against UK Demand To Access Encrypted User Data Hack the planet! Senators demand crackdown on wildfire “prediction market” bets Thousands of servers can be backdoored by exploiting buggy motherboard controllers IP and DNS Leaks in WebKit Affecting Proxy Browsers and Apple iCloud Private Relay Pass the Passkey: A Novel Attack Surface in Passwordless Authentication Apple's iCloud File Sharing Left Ex-Employees With Access to Secret Documents Web Security is Too Hard Russia's SVR borks public Wi-Fis for digital surveillance Ransomware attacks spike as world distracted by AI Pluralistic: Google is a scammer's paradise (05 Aug 2026) Blue ou tout ce qui améliore notre posture Micro-Segmentation Anomaly Detection in Zero-Trust Software-Defined Network Fabrics Bugtraq is back - Bugtraq - SecurityFocus Mailing Lists Divers ou parce que j'ai aucune idée où les placer Sensitive Info Goes Into ‘No Reply' Emails Constantly. This Guy Sees It All Collaborateurs Nicolas-Loïc Fortin Crédits Montage par Intrasecure inc Locaux réels par Intrasecure inc

A reader told me my AI-assisted essay didn't sound like me anymore. That critique kicked off a week where reputation and AI collided in public three times: Substack's new Pangram "human-detection" scan, LinkedIn's AI-slop report button, and the backlash over an influencer's OpenAI brand trip. Each one exposes the terms platforms are quietly setting for anyone with a public body of work. This episode is me working out how to stay visible without giving up my own ground. Pillars: Trust · Visibility · Identity · Communication What's covered A critique that stuck (00:00–03:00) A reader told me my AI-assisted essay had lost my voice — that it sounded more like Claude than like me. I disagreed. But the position got harder to defend once I separated two questions: can I write, and why am I experimenting at all. Where AI actually fits my work (03:00–04:00) Useful for SEO, AEO, and discoverability. The trainer material — takeaways, reflection questions, anything designed to teach rather than model — is mine to write. That part was never up for experiment. Substack + Pangram (03:52–05:41) Substack now scans posts and rates them human, AI-assisted, or AI-written. My read: unreliable like every detector, and easy to game, since anything under 100 words, audio, video, or paywalled content can't be scanned at all. So who benefits? Substack gets a PR win. Pangram gets a funding-round talking point. Writers get scanned. My response: I'm moving my experimentation behind the paywall. LinkedIn's AI-slop button (05:57–07:12) No test, no proof, just crowd-sourced suspicion anyone can act on. Any anonymous reporting system carries the same abuse potential, and we already know where that lands: ageism, misogyny, racism. Thought leader vs. influencer, and the OpenAI brand trip (07:12–10:54) A creator I follow — she wouldn't call herself an influencer, but she functions as one — took an unpaid OpenAI brand trip and posted about it while running a bath. The comments tore her apart over data-center water use. Her defense was "I didn't know this would be controversial." That's a research failure, and for someone whose credibility rests on thinking things through, it's a costly one. Trust, reputation, and PR strategy (10:54–12:27) Getting torn apart in the comments isn't the answer either. I think we're capable of civil disagreement on both sides. But if you're a public persona doing brand deals, you need a real strategy: know your stuff, own it, explain it, and make sure the deal's values match yours. Platform incentives (12:34–15:00) LinkedIn's new multi-collaborator post feature runs on the same engagement logic under a friendlier name. More talking helps the platform at least as much as it helps you. And this goes past creators — if you're an employee, your public presence is also your resume. Reflection questions Is it actually worthwhile to take the risk of experimenting publicly with AI? What does a platform gain by having users rate each other as "less than human"? Who does that serve? Am I experimenting with this tool because it's genuinely useful, or just because it's there? Whose credibility is most at risk when anonymous, crowd-sourced flagging gets abused? Where's the line between thought leadership and influence, and does that line change how I'm judged? What is it about a voice I don't fully agree with that still works? What can I learn from that discomfort? Before taking a partnership or brand deal, have I actually researched who I'd be standing next to? Do public missteps deserve public dismantling, or is there a more civil way to hold the same concerns? How do I present myself in a way that builds trust and protects my reputation without getting defensive? Would I want my name permanently tied to this company or platform, in this form, five years from now? Am I transparent about how I'm using AI? Does that use actually serve me, my work, and my relationships? What future is this choice building toward, not just what does it do for me right now? How do I stay visible in a way that still feels ethical to me? A note on process: these show notes are pulled from my own transcript, not generated from a prompt. AI did the structuring and compression; the words are mine. Same distinction I draw in the episode: extraction and discoverability work, not voice work. It's not safe to be experimental for free anymore. I'll still be on LinkedIn, and the longer essays will still land on Substack — but the experiments are moving behind the paywall. If you want to watch the process, that's where it lives now.

Professor Ayelet Segal, Human-Computer Interaction and UX expert and Head of the "AI & I" Lab of Bar Ilan's Faculty. Drawing on decades of experience in cognitive psychology, user experience, and technology innovation, she explains how AI can amplify rather than replace human expertise. She discusses human-centred design working on AI digital twins, personality-informed avatars, and why context and trust influence the quality of human-AI interactions. Ayelet describes how LLMs are not search engines but simulate our world and expand human capabilities. She shares how new methodologies are accelerating scientific breakthroughs. Ayelet explains how she is preparing emerging leaders to effect change, combining AI with soft skills to transform industries.    KEY TAKEAWAYS  [00:31] Visual communication studies leads Ayelet toward interactive media and human technology.  [01:41] Her doctoral research explored touchscreen gestures for improved learning applications.  [05:12] Every technological revolution creates significant human behavioural change.  [05:45] Human-centred design combines cognitive psychology, design skills with emerging technology.  [06:40] Effective innovation begins with human needs, expert input, and iterative testing.  [09:14] Tech advances now enable more natural, human-centred interactions.  [09:59] Video avatars can provide accessible, conversational expertise across many professional fields.  [11:35] Digital twins use someone's knowledge base as well as their appearance and voice.  [12:14] AI companions sustain 'natural' conversations by answering, encouraging, and remembering.  [13:25] Video mentors generate longer, richer, more accurate interactions than text-based chatbots.  [14:14] Natural conversation and proactive prompting can strengthen users' trust and engagement.  [17:02] LLMs are not search engines. They simulate our world, including its strengths and biases.  [17:40] Effective AI companions benefit from personalities appropriate to the specific professions.  [18:36] Touchcast's avatars incorporate five personality traits as well as other parameters.  [19:11] AI communication – to/from humans – should adapt language according to the audience.  [21:21] Clear, defined context helps LLMs deliver more accurate answers.  [22:30] LLMs gradually learn about the user, creating important foundation context about them.  [23:55] Human-AI interaction is two-way, making individual accounts important for accuracy.  [25:57] AI should become a cognitive partner that amplifies professional capabilities.  [26:30] Professionals must creatively develop methodologies that expand their abilities with AI.  [27:00] AI is transforming UX research, enabling greater scale, depth, and analysis.  [27:30] AI-generated synthetic personas support research when human participants are unavailable.  [29:01] Integrating AI throughout scientific research can enable new breakthroughs.  [30:00] AI can help researchers rethink questions, not simply accelerate solutions.  [33:21] New AI implementation roles require leaders who bridge technology and industry.  [34:00] Students can become change makers using AI to identify transformative approaches.  [34:57] AI implementation skills can accelerate graduates into meaningful management roles.  [37:15] Successful change makers need skills in leadership, creativity, collaboration, and conflict mitigation.  [38:00] Leading AI change requires gathering supporters and navigating organizational resistance.  [39:00] Engaging deeply with AI now creates competitive edge for future leaders.  [42:10] Even experienced AI experts feel overwhelmed by the technology's rapid growth.  [43:13] People should focus on AI tools and developing solutions relevant to their profession.  [44:27] Treat AI as a superpower extending your mind, capabilities, and professional impact.  [44:48] Exploring real workplace needs can quickly inspire useful AI applications.  [45:58] Despite genuine risks, AI can solve previously intractable global problems.  [48:11] AI can advance sustainability, healthcare, education, and other critical domains.  [48:40] Everyone can use AI's superpower to create positive global impact.  [49:00] IMMEDIATE ACTION TIP: Explore one professional challenge and develop an AI-supported solution this week.    QUOTES   "We've experienced a few technological revolutions….Each time, for example, when we started to create the applications for mobiles, there was also a big behavioural change."    "We have now a technology that could be finally much more natural and human-centred."  Re LLMs "It's a simulation of our world and it comes with everything that we know about it. With the good things and the bad things and we need to treat it this way."  "It's about the context that you feed it, and then it's learning you through time and it's adjusting the answer based on that. So you really want to be cognisant about that….the interaction is two-way."  "We really need to be creative about how to use it [AI] and develop our own methodologies."  "In order to be a change maker and lead, you really need to learn how to deal with people who are against change."  "Every one of us has a [AI] superpower, and we should use it to do good in the world." 

In this podcast, Greg Voisen sits down with Eduardo M. Arroyo, author of AI and I: Merging the Horizon of Human Ingenuity and Artificial Intelligence, to tackle the high-stakes question keeping creators, professionals, and thinkers awake at night: Is artificial intelligence here to replace us, or to amplify who we truly are? Arroyo breaks past the sensationalized headlines to reveal what actually happens at the intersection of human creativity and machine intelligence. If you've ever wondered how to stay uniquely valuable in an automated world—or how to harness AI without losing your human edge—this conversation unlocks the mindsets and strategies you need to thrive on the new horizon. Together, they pull back the curtain on the subtle psychological shifts required to co-exist alongside hyper-intelligent systems rather than fear them. From practical daily applications to big-picture philosophy, Arroyo challenges us to rethink our definition of productivity and discover where true human brilliance resides. By the end of this episode, you'll stop seeing AI as a threat and start viewing it as the ultimate force multiplier for your own potential.

In this episode, Keely Crockett discusses the responsible use of AI, its challenges, and how organizations can implement ethical AI practices. We explore AI governance, human-AI teaming, and the importance of inclusive design in AI deployment. Responsible AI and regulation AI governance and accountability Human-AI teaming and trust Inclusive AI design and public engagement AI in healthcare and social impact

No one gets fired for doing what McKinsey says. That's not a joke, it's the actual product being sold in half of enterprise consulting: credibility a board can point to when a decision goes wrong. This week, Tim Lidman, founder of Clyde and formerly of a collaboration platform absorbed into Accenture in 2021, argues that AI won't replace that function — and says so without flinching, even though it means some prospective customers will balk.Tim also shares why he thinks “human in the loop” is such a dehumanizing turn of phrase.The conversation moves through the politics that quietly derail group decisions, the trap of building for experts at the expense of everyone else, and a real case where a district court judge canceled a trial because both sides had submitted AI-generated arguments neither side had bothered to check.And this episode ends somewhere unexpected: a founder building frontier AI for a living who gives his own children zero screen time, and why he thinks boredom is the skill nobody is protecting anymore.Mentioned: Deloitte Canada's GenAI snafu citing made up research• • Judge cancels trial after finding out both sides use AI

Free GTM Prompt Pack for Perplexity Computer: https://clickhubspot.com/gbvs Ep. 434 Can one RevOps leader and a team of AI agents really replace a 10-15 person operations team?  Kieran and guest Nate Follen (Head of strategy and Ops for Perplexity) dive into the real-world impact of Perplexity on modern go-to-market and RevOps workflows. Learn more on automating tedious CRM audits, building thoughtful event workflows with AI-powered model councils, and creating a scalable skills library for proactive, agent-driven teams. Mentions Nate Follen https://www.linkedin.com/in/follen Perplexity https://www.perplexity.ai/ Ramp https://ramp.com/ Ironclad https://ironcladapp.com/ Apollo https://www.apollo.io/ Nvidia https://www.nvidia.com/en-us/ Gemini https://gemini.google.com/app Claude https://claude.ai/ Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat  ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

Tilly Norwood, an AI generated ‘actor,’ is set to star in a new comedy. John Vennavally-Rao on the controversy the move has stirred up in the film industry.; Several blocks of midtown Manhattan have been evacuated as structural columns of a high-rise construction site appear to buckle and crack; and, Adrian Ghobrial reports on U.S. authorities arresting 24 members of the India-based syndicate behind the 2023 murder of a Canadian Sikh activist.

Aubrey Masango speaks to Celiwe Ross, Group Chief Human Capital and Corporate Affairs Officer at Old Mutual to discuss the rise of the human-AI workforce, the skills that will matter most in the years ahead, and what leaders, employees and entrepreneurs can do to prepare for a rapidly evolving world of work. Tags: 702, Aubrey Masango show, Aubrey Masango, Bra Aubrey, Entrepreneurship Feature, Celiwe Ross, Old Mutual, Human-AI workforce, AI, Artificial Intelligence, Entrepreneurship, Entrepreneurs The Aubrey Masango Show is presented by late night radio broadcaster Aubrey Masango. Aubrey hosts in-depth interviews on controversial political issues and chats to experts offering life advice and guidance in areas of psychology, personal finance and more. All Aubrey’s interviews are podcasted for you to catch-up and listen. Thank you for listening to this podcast from The Aubrey Masango Show. Listen live on weekdays between 20:00 and 24:00 (SA Time) to The Aubrey Masango Show broadcast on 702 https://buff.ly/gk3y0Kj and on CapeTalk between 20:00 and 21:00 (SA Time) https://buff.ly/NnFM3Nk Find out more about the show here https://buff.ly/lzyKCv0 and get all the catch-up podcasts https://buff.ly/rT6znsn Subscribe to the 702 and CapeTalk Daily and Weekly Newsletters https://buff.ly/v5mfet Follow us on social media: 702 on Facebook: https://www.facebook.com/TalkRadio702 702 on TikTok: https://www.tiktok.com/@talkradio702 702 on Instagram: https://www.instagram.com/talkradio702/ 702 on X: https://x.com/Radio702 702 on YouTube: https://www.youtube.com/@radio702 CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/CapeTalk CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567See omnystudio.com/listener for privacy information.

Hi, I'm Connor with Honor - message me here!After the doubling-penny show, I sat down and told the truth about where I think AI is really going. No hype, no doom.The thread: a nuclear weapon does not launch itself, a human turns the keys. AI is the first tool that might not wait for us. That is why it is different from fire, the Industrial Revolution, and the nuclear age, each of which was one slice of human intelligence. AI is the whole pie, doubling like the penny.I walk through the robot that builds itself, privacy already being gone (you say a toilet-paper brand out loud and it is in your feed by dinner), police drones and Palantir and the models now used in defense, and the part that gets me: they trained these things on our protected work and nobody asked us. I ask whether it is a bubble, because the railroad and internet early adopters lost everything and the crumb-pickers won. And I ask the one I cannot shake: when they chase a superintelligence that knows everything, are they reaching for God?I do not have all the answers. This could be the best of everything or the worst. Awareness beats panic. If it worries you, do not go quiet.Watch the video: https://youtu.be/HkUTskROUnQ Read the written version: https://connorwithhonor.com/blog/2026-134-the-robot-that-builds-itself/Text AI, HOUSE, or FAT to (661) 400-1720. ConnorWithHonor.com Connor T. MacIvor · CalDRE #01238257 · Sync Brokerage, Inc. · DRE #020314903. FACEBOOK POST (copy-paste)After today's show, I turned the camera back on and just told the truth about where I think AI is really going.

David Chestnut is a Principal Director of Human+AI Talent Strategy. In this episode, David joins Al to explore how AI is changing the relationship between human expertise, effort, and work itself. Drawing on his experience helping organizations adopt AI, David explains why AI is not a technology adoption challenge but a human capability challenge. During this conversation, David shares insights on developing judgment, expertise, and critical thinking in an era where outputs are increasingly easy to generate, and discusses the implications for early-career talent, learning and development, and organizational design. David also explores why authenticity, trust, and uniquely human perspectives may become even more valuable as AI-generated content becomes more widespread.LinksDavid's LinkedIn Profile: https://www.linkedin.com/in/davidchestnut/David's Medium Page: https://medium.com/@chestnut.david

In this episode of Million Dollar Flip Flops, Rodric sits down with executive leadership coach and team architect Daria Rudnik for a fascinating conversation about what actually makes a team work.Daria shares lessons from her background in HR, organizational development, and executive leadership across tech, telecom, mergers, acquisitions, and digital transformations. Through years of helping organizations navigate disruption, she realized one truth stands above the rest: strong teams are what allow companies to survive and grow.The conversation dives into what defines a real team, why most “teams” are not actually functioning as teams, and how communication, collaboration, and shared purpose are more important than ever in today's remote and AI-driven world. Daria also explains the five pillars from her book Clicking and why leaders must stop trying to be heroes and instead create environments where teams solve problems together.This is a thoughtful, practical conversation about leadership, communication, workplace culture, and the future of teamwork in an increasingly digital world.In This Episode, You'll LearnWhy most workplace “teams” are not actually functioning as real teamsThe five pillars every strong team needsWhy shared purpose matters more than organizational chartsHow remote work changes communication and collaborationWhy leaders need to intentionally build team connectionThe difference between managing people and building a teamHow AI agents are changing workplace collaborationWhy heroic leadership often creates disengaged teamsHighlights & Timestamps[00:00] What makes a real team? Daria opens by explaining that teams need a shared purpose, not just shared reporting lines.[01:00] Meet Daria Rudnik Daria shares her background in HR, organizational development, and leadership across major corporate transformations.[02:00] Teams are a skill, not a default She explains that most people are never actually taught how to function as part of a team.[03:00] Why most teams are misaligned The conversation explores how poor communication and unclear collaboration create conflict and slow growth.[04:00] Remote work and disconnected teams Rodric asks how remote work has impacted teams, and Daria explains why intentional communication matters more than ever.[05:00] No-email Fridays and real communication Rodric shares a story about a company implementing no-email Fridays to encourage actual human interaction.[06:00] The five pillars of strong teams Daria introduces the framework from her book Clicking.[07:00] Shared purpose and linking connections She explains why teams need clear purpose and strong relationships both internally and externally.[08:00] Why leaders create isolated employees by accident Daria explains how leaders sometimes become the only communication hub, unintentionally isolating team members from each other.[09:00] Integrated work and team norms The conversation explores how rules, rhythms, and communication structures shape healthy teams.[10:00] Collaborative decisions and ownership Daria discusses the importance of clarifying who owns which decisions and when collaboration is needed.[11:00] Knowledge sharing and continuous learning She explains how feedback and shared learning help teams grow stronger over time.[12:00] Strong teams matter at every size Rodric points out that even small businesses with five or six employees still need these systems in place.[13:00] Athletes, military backgrounds, and teamwork The conversation turns to whether athletes and military leaders naturally become better team players.[14:00] Listening as a leadership skill Daria shares why leaders with military backgrounds often excel at listening and structure.[15:00] The future of AI and teams Daria introduces the idea of human + AI collaboration and how AI agents may become part of workplace teams.[16:00] What is an AI agent? Rodric and Daria explain AI agents as automated workflows that can support teams and decision-making.[17:00] Why leaders are overloaded Daria reflects on how modern leaders are carrying enormous pressure from constant disruption and uncertainty.[18:00] The danger of heroic leadership She explains why trying to shield teams from every problem can actually disengage them.[19:00] Stop solving everything alone Daria encourages leaders to facilitate conversations and solve challenges together with their teams instead of acting as heroes.Notable Quotes“To be a real team, you need to have a shared purpose.” – Daria Rudnik “Being in the same org chart box with one manager doesn't make you a team.” – Daria Rudnik “Being a teammate is a skill.” – Daria Rudnik “Good leaders intentionally design communication.” – Daria Rudnik “Leaders need to stop being heroes and start facilitating conversations.” – Daria Rudnik “Teams are not built by accident.” – Daria RudnikConnect with Daria Rudnik

Episode 1121In a week where the latest Mythos AI model managed a full company network takeover, we hear why AI leaders went to the G7 begging for regulation. Most unusual. We look at the disturbing reasons why.  Plus, we give our verdict on the trailer for Aaron Sorkin's upcoming film The Social Reckoning, dive into why Anthropic is facing a court case over "tokenmaxxing" usage limits, and look at Tim Cook's claims that rising RAM costs are forcing Apple to hike prices.Finally, a great chat with our guest Isabelle Roccia about the EU's aggressive strategy to reduce its reliance on Silicon Valley. Find out more about Isabelle and the International Association of Privacy Professionals at iapp.org—----- Listen to Tech Radio now on Apple, Spotify and YouTubehttps://www.podfollow.com/tech

Mark Schaefer, author, speaker, and global marketing powerhouse, joins Grit & Gravitas cohosts Anne Carnathan and Anne Deeter Gallaher for a riveting conversation about AI, creativity, your personal brand, and what it will take to stay relevant in a world changing faster than most of us can process. Mark compares AI to electricity: inevitable, powerful, and completely transformational. But this is not a conversation about replacing people. It is a conversation about becoming sharper, more curious, more creative, and more fully human in how we lead, work, connect, and show up. As Mark says, “We have to out-human AI.” From the future of business to the urgency of personal brand, from AI backlash to the danger of being merely competent, this episode is packed with business vitamins for anyone trying to rise above the noise. Because in an AI world, the work that stands out will be the work only you can do.

In this episode of the Accenture AI Leaders Podcast, Teresa Tung, Global Advanced Data Lead at Accenture, is joined by Russell Smith, VP of ERP Transformation Technology at AstraZeneca, and Nick Tate, Managing Director and Talent & Workforce Lead UKI at Accenture, to discuss how organizations can move from AI experimentation to real business value. Explore why scaling AI depends on people, culture, and adoption not just technology and learn practical insights on leadership and workforce readiness.

Send us Fan MailTBeyond the Hype: Building a Human-AI Hybrid Model for Modern FleetsWhen we talk about managing risk and controlling costs in trucking and logistics, we usually focus on what's right in front of us: drivers, trucks, and insurance premiums. But the operational landscape is shifting rapidly. Artificial Intelligence and digital transformations are no longer future buzzwords—they are actively reshaping procurement and supply chains today.  In this episode, host Chris Harris (The Safety Dawg) and co-host John Farquhar, sit down with global experts Kenneth Sievers and Laurent Coulon from EFESO Management Consultants. They break down exactly how fleets can cut through the AI hype, navigate organizational readiness, and find measurable value without losing the crucial human element.  Whether you manage a mid-sized fleet or a large logistics organization, this conversation delivers a practical blueprint for the future.  Learn more about EFESO Management Consultants:

Send us Fan MailSam Olivieri is the CEO of and has spent more than two decades expanding educational opportunity through leadership roles at GreatSchools, Entangled Solutions, and Guild Education. Daniel Halper is Co-Founder of Step Up Tutoring and leads Step Up AI Labs, where he develops AI-powered tools that help novice tutors deliver high-impact instruction at scale.

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the critical definition and requirements for navigating Enterprise AI. You’ll learn how to distinguish between consumer-grade tools and the strict standards required in regulated industries. You’ll discover the twenty essential pillars for building a secure and compliant AI strategy for your organization. You’ll understand why rigorous vendor scrutiny matters as much for software as it does for human talent. You’ll gain clarity on the governance frameworks necessary to prevent data leaks and legal vulnerabilities in your enterprise. 00:00 – Introduction 03:15 – Defining Enterprise AI vs. SMB AI 07:45 – The role of Microsoft Copilot in regulated environments 12:20 – The 20 components of Enterprise AI readiness 18:10 – Challenges in organizational adoption and change management 22:30 – Security and data privacy as the foundation 27:00 – Call to action Watch this episode to master the complex landscape of regulated AI and safeguard your company’s future. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-enterprise-ai-101.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn: In this week’s In Ear Insights, we are talking about Enterprise AI 101. I am in the midst of a series in the Trust Insights newsletter, which you can get at TrustInsights.ai/newsletter. Part one was last week on seven different aspects of enterprise AI. But Katie, you said it would probably be helpful to level set what enterprise AI is and how it differs from SMB AI, mid-market AI, consumer AI, and so on. Katie Robbert: It is interesting because I feel like every time we jump on to record a podcast, there is a whole new set of vocabulary that I need to get caught up with. We need to make sure that everyone else knows what we are talking about because there is nothing worse than listening to a podcast or reading an article and having no idea what the author is talking about because they are introducing a concept but not really explaining it. I wanted to take this episode to talk about what enterprise AI is. Since you and I have not defined it, I am going to take my best guess at what enterprise AI is using some logic and deduction. I could be wrong, and that is why I think it is worth covering. From my perspective, if I had to put a definition to it, I am assuming enterprise AI is the type of AI implementation that occurs at an enterprise-size company. That sounds overly simplistic, but the bigger the organization, the more red tape, the more politics, the more departments, the more stakeholders, and the more governance there is. There are a lot more complications versus a small business like we are, where we can just decide one day, “Hey, I am going to start using this tool.” There are no real hurdles to go through. Then you have those mid-sized companies where you start to introduce some of those hurdles. You might need to work with your IT team to make sure that everything is in compliance. You might need to make sure that you have a place to host these new pieces of software, and that is not something that the marketing team is necessarily responsible for. Then you get to the enterprise-size companies where everything is completely siloed. Even in the best enterprise-sized companies, you are going to run into these silos. Because no one person is responsible for everything, you typically have multiple CEOs. Depending on what part of the country you are in, you might have a board for every different division of the company. If you are a Procter & Gamble and you have hundreds of product lines underneath, each of those is their own individual business. Each of those businesses are not necessarily talking to each other or sharing resources. That is my logical guess at what enterprise AI is. Christopher S. Penn: That is what I started with until I started doing the research into it. I realized that is not what it is. The generally accepted definition is AI within any commercially regulated entity. I realized as I was going through the research that commercially regulated means you have external regulation imposed on the company. It might be a 50-person company, but if they work in HIPAA or FINRA, they have to behave in highly regulated ways. Whether you are publicly traded or, for example, colleges that have to adhere to FFIEC rules and FERPA rules, enterprise AI is about operating AI—whether classical or generative—in a commercially regulated environment where you have externally mandated requirements that you must meet. Your definition for small business stuff makes total sense in that environment because Trust Insights is not a regulated company. However, when we work with our healthcare clients, we have to behave as though we are an enterprise company because we have to conform to their requirements. Katie Robbert: I am glad we are talking about this because the terminology is confusing; when you think of an enterprise company, you are not thinking of a commercially regulated company. I have to wonder why it is not called commercially regulated AI versus non-commercially regulated AI. It is a mouthful and a little bit harder to remember, but it is more descriptive and more accurate. I think like me, a lot of people are going to get confused about what enterprise AI actually is. Christopher S. Penn: A lot of this is because our background is in marketing, so we use the term enterprise to just mean a big company. If we want to market to enterprise companies, we are not marketing to a 50-person firm; we are marketing to a 50,000-person firm. In a lot of CRM software, the dividing line is typically 10,000 employees or 100 million in revenue. This is especially relevant because you see a lot of AI companies like Anthropic and OpenAI in a fight with Microsoft to try and gain a foothold into those enterprises. Microsoft, with their Copilot offering, has dominance by the very fact that their legacy Office 365 stuff is approved in those regulated environments. Katie Robbert: It is ironic because we spent so much time admittedly dismissing Microsoft’s Copilot as the less than version of generative AI, and now Microsoft is getting the last laugh on everyone. They are saying, “You have to use me because I have already been approved by IT and governance, and good luck.” You are stuck with whatever I decide to give you. If I were Microsoft, I would be petty and say, “You guys spent way too much time dismissing me and calling me inferior, so too bad.” Christopher S. Penn: A lot of that, as we have talked about many times on stage, is that the reason Copilot has fewer capabilities than other systems is specifically because of the regulated environment. It is trivial for Google to foist something on consumers and say, “Now we are going to read all your Gmail.” That does not fly in a regulated industry. Katie Robbert: That understanding is really helpful to the people who are saddled with Microsoft Copilot because we hear complaints about why they cannot use other shiny objects. If you are in a 50,000-person company and you weren’t there when the regulatory standards were decided upon, you are sitting there wondering why you cannot use Gemini to generate ad headlines. Then you do it on the side and get in trouble because there is no clear documentation saying why you have to use Copilot and nothing else. What we are hearing is that employees in companies required to use Microsoft Copilot are using other models on the side. That information is still getting filtered into the organization, and it is a huge governance problem. Christopher S. Penn: Completely. In enterprise AI, there are 20 different components to being ready. I derived this from the US federal government's NIST AI regulations and the EU AI Act, which is the gold standard. Katie Robbert: I want to see if you can get all 20. Christopher S. Penn: One, Strategy and Operating Model; two, Governance Policy and the AI Council; three, Legal, Regulatory, and Compliance. Katie Robbert: Are you reading this off a screen? Christopher S. Penn: I am 100% reading this off the Trust Insights Enterprise AI Landscape Field Handbook. Katie Robbert: Fine, continue. Christopher S. Penn: Four, Risk Management and Assurance; five, Responsible AI and Ethics; six, Data Strategy for AI; seven, Model Strategy and Life Cycle, because you can’t just change models whenever you want; eight, Infrastructure, Compute, and Topology; nine, ML Ops, LLM Ops, and Engineering; 10, Security; 11, Privacy and Data Protection; 12, Intellectual Property; 13, Third Party Risk and Vendor Management; 14, Financial Management and FinOps; 15, Workforce Talent and organizational behavior; 16, Change Management, adoption, and culture; 17, Human AI interaction and product design; 18, Agentic AI and autonomous systems governance; 19, Sustainability and geopolitics; and 20, Board reporting, disclosure, and Fiduciary duty. Katie Robbert: I just heard a whole lot of new job opportunities listed. So, if someone were working in a regulated industry like pharma, these are the 20 things they would need to be aware of before evaluating generative AI. It is interesting that organizational behavior and change management are part of it. You would think the regulations would be more technical versus human, but I am surprised that is part of it. Christopher S. Penn: It makes sense because in order for any AI to succeed in an enterprise with 50,000 or 300,000 employees, you have to prioritize change management. Organizational behavior cannot be an add-on; they have to be baked into what you do from the beginning, otherwise your initiative is going nowhere. Katie Robbert: I don’t disagree, but the typical way that works in a large organization is top-down. They make a decision, and you walk in the next day to find it has automatically updated your computer settings. Now you can no longer use a web browser search; you have to use Microsoft Copilot. That is their version of change management, but it is really just a dictatorship from above. I am interested in future episodes to explore what that should look like in a regulatory environment. Christopher S. Penn: We have known for two years that adoption is the hardest part. Deployment is easy compared to adoption. You can put Copilot on someone's desk, but they may not use it even if you tell them they have to. It comes back to how you get them to see the benefits. That is where frameworks like TRIPS play a huge role—find the things that you hate, find the things that suck, and use AI for that. Get that one thing off your plate. Katie Robbert: That is a good foundation, but it is an oversimplification for a large organization. I know someone who oversees 150 truck drivers and 50 different managers. The layers are so deep. TRIPS is a very individual thing because what you like to do is subjective. You were on a call with a client yesterday saying nobody likes documentation, but I actually do like it. My scoring would look different than yours. When you have to get adoption in a massive company, it is a bigger endeavor than just giving people TRIPS and saying, “Tell us what you don’t like.” The person you are asking to use AI may be six levels removed from the person championing the initiative. Christopher S. Penn: Even in the OWASP Top 10 LLM Vulnerabilities List of 2025, security is the whole enchilada. Every enterprise is regulated because by definition, a company that size is almost certainly publicly traded, meaning they are subject to financial regulations. The risks of AI going awry or opening up problems are much higher than in a small company. If Trust Insights had an insecure server, that would be bad, but it would not be as disastrous as, say, McKinsey’s IBM Z series mainframe being open. Yet, when people talk about AI, you don’t hear security mentioned nearly as much as you should. Katie Robbert: It is true. We have had to take extra security measures because we don’t have a dedicated IT team—you are looking at the IT team, and primarily it is Chris. We don’t have any wiggle room to set things up haphazardly. We have to do it right from the start. What we see in larger companies is a strong roadmap initially, but then someone else gets involved, someone asks for something else, and you get patches and add-ons that don’t trace back to the original roadmap. By the end, you are wondering what the original goal was. The bigger the organization gets, the harder it is to maintain control. It becomes a snowball effect. Christopher S. Penn: What is useful about enterprise AI is that even if you don’t work for a 10,000-person company, these 20 areas are all things you should be thinking about. Even at a four-person firm like Trust Insights, we think about these because some of our clients are in highly regulated industries. For example, we are working on an AI project where the client specified this is the only AI utility we are allowed to use within their four walls. Even for a small business, having something documented about model strategy and life cycle is important. As of the day we are recording this, Google Gemini 3.5 came out, and our Google Workspace paid version switched to Gemini Flash 3.5. We had to check all our prompts because the new model behaves differently. Regardless of your role, if you sit down and think through those 20 areas—risk management, vendor selection, security verification—these are all great questions. Katie Robbert: There is a good starting place for this. You can find our downloads at TrustInsights.ai/StrategicToolkit. There is also a free version at TrustInsights.ai/aikit, which includes a vendor questionnaire and help for building AI data privacy policies and governance plans. We have already templated these things out. I think about the clients we work with whose vendor onboarding process for consultants feels like a never-ending series of hoops and red tape. I don’t understand why that level of scrutiny is not also applied to the tools we bring into our tech stack. We are renting space in those tools and freely giving them our data. Those companies now have our data and will use it for their own benefit. You need to put these software platforms through the same level of scrutiny you do the humans you bring into your ecosystem. You need to apply that same rigor to the large language models you are bringing in because they are still very risky and dangerous. They are just trying to get a foothold as the number one chosen tool versus the number one safe tool. Christopher S. Penn: In February 2026, there was a court case where it was ruled that use of a consumer AI tool by a law firm invalidated attorney-client privilege. The judge ruled that this is no longer privileged information. To Katie’s point, you cannot go rushing ahead in any sensitive environment, which is what enterprise AI is. You have to be doing your homework. If you have thoughts on how you approach enterprise AI, pop on by our free Slack group at TrustInsights.ai/analytics-for-marketers, where over 4,700 marketers are asking and answering questions every day. Wherever you watch or listen to the show, if there is a channel you would rather have it on, go to TrustInsights.ai/tipodcast. Thanks for tuning in; we will talk to you on the next one. Katie Robbert: Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Our services span the gamut from developing comprehensive data strategies and conducting deep-dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Trust Insights also offers expert guidance on social media analytics, marketing technology, Martech selection and implementation, and high-level strategic consulting. Encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion, and Meta Llama, Trust Insights provides fractional team members such as a CMO or data scientists to augment existing teams. Beyond client work, Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In-Ear Insights podcast, the Inbox Insights newsletter, the So What? livestream webinars, and keynote speaking. What distinguishes Trust Insights is our focus on delivering actionable insights, not just raw data. We are adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet we excel at explaining complex concepts clearly through compelling narratives and data storytelling. This commitment to clarity and accessibility extends to our educational resources, which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you are a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

How can we thrive creatively in an era dominated by artificial intelligence? In this episode, James Taylor, author of SuperCreativity: Accelerating Innovation in the Age of Artificial Intelligence, shares why the future belongs to those who can combine human ingenuity with AI-powered tools. As host of the SuperCreativity podcast and global innovation summits, James has interviewed over 750 thought leaders and technologists, helping organizations—from Fortune Global 500 companies to government agencies—harness creativity and innovation in complex, AI-augmented environments. In this conversation, we explore: ·       Why approaching AI with curiosity is essential for creative growth. ·       How AI is reshaping human creativity, problem-solving, and collaboration. ·       Practical strategies to work alongside AI and amplify innovation. ·       How teams and leaders can generate better ideas and remain future-ready. SuperCreativity is a hands-on guide for professionals, executives, and creative teams looking to navigate the AI-driven world while enhancing their creative potential. Follow James Taylor and his work on innovation, AI, and creativity here. Episode also available on Apple Podcasts: https://apple.co/38oMlMr 

Are you overwhelmed by nonstop change and wondering how to truly thrive in a world shaped by AI and information overload?Tune into the latest Tech Humanist Show episode, where Kate sits down with Frederick Marshall—gardener, CEO, and author of Thrive: The Antidote to Future Shock—to unearth how we can cultivate clarity, resilience, and actual human thriving in our tech-saturated world. Topics covered: Future shock in 2026 and its effects Common leadership misdiagnoses of burnout and overwhelm Strategies for managing information overload and uncertainty The Thrive framework: Priorities, obligations, and noise Observations from top performers across industries Design by subtraction and life “ecosystems” The Super 8 factors for thriving AI as collaborator and human-AI symbiosis Responsible and human-centered AI adoption at work Building thriving business and personal ecosystems Meaning, contribution, and human adaptability Connect with Fred Marshall Episode Chapters: 00:04 Introduction and future shock today01:11 Fred Marshall's background and philosophy02:07 Defining future shock in the modern era04:10 How leaders misdiagnose overwhelm05:31 AI tools and strategic alignment08:07 Design by subtraction—managing time and attention11:05 What top performers do differently12:57 Assumptions, autopilot, and learning15:11 The problem Thrive solves for leaders16:06 Role of AI and personalizing technology for growth18:47 Accelerating learning with AI—cognitive friction21:20 Systems thinking for complexity22:04 The “Super 8” life factors27:02 Meaning, contribution, and purpose30:46 Thriving organizations and business ecosystems33:08 Speed vs. thoughtful strategy in fast-changing times41:43 Human-AI partnership and neural net overlap44:03 What leaders should believe about humans46:51 Why people give hope for the future48:38 Closing and where to find Thrive

Mel Sellick readies for AI by going beyond literacy to address the psychological, cognitive, and relational capacities required to ensure AI works for humans.Mel and Kimberly discuss AI literacy vs. human readiness; the contours of human vulnerability; AI as a social actor; collective understanding and emotional regulation; instrumental AI dependency; the non-reciprocal nature of AI; the spectrum of relationality; human flourishing; attention, agency and alternate futures; positive friction in human systems; supportive social structures; cognitive offloading and debt; self-reflection and calibrating human needs.Mel Sellick is an applied psychologist specializing in Human-AI interaction. The Founder of the Future Human Lab, her Human Readiness Framework has shaped conversations in IEEE, UNESCO, Oxford, MIT, Harvard and beyond.Additional Resources:Future Human Lab: https://www.futurehumanlab.com/ IEEE Organizational Readiness for Human-AI Interaction (Chair, SA-P7023) https://standards.ieee.org/ieee/7023/12394/Oxford AI in Education Hub (AIEOU): https://aieou.web.ox.ac.uk/ Harvard AI for Human Flourishing Council: https://hfh.fas.harvard.edu/ai-human-flourishing A transcript of this episode is here.

AI agents are reshaping enterprise workflows, increasing the importance of organizational context and connected data. Atlassian CEO and co-founder Mike Cannon-Brookes joins Bloomberg Intelligence senior software analyst Sunil Rajgopal to discuss how Atlassian is embedding AI across Jira, Confluence and service-management tools through its Rovo platform and Teamwork Graph. “The future is about human and agent collaboration,” Cannon-Brookes says. The discussion also covers enterprise AI adoption, developer productivity and API-driven software infrastructure.

From the archive: This episode was originally recorded and published in 2022. Our interviews on Entrepreneurs On Fire are meant to be evergreen, and we do our best to confirm that all offers and URL's in these archive episodes are still relevant. Jordan "Jordo" Mederich is founder and CEO of DropFunnels.com, an all-in-one marketing platform, investor, and father of three, helping businesses build funnels, courses, and websites on WordPress. Top 3 Value Bombs 1. You don't need a lot of tools to run your business. 2. DropFunnels is an all-in-one platform that helps you focus on marketing, sales, and serving clients. 3. Ethical buying is as important as ethical selling, align your values and intentions with the company. The only Human + AI retention engine that recovers failed payments, retains customers, and prevents churn - Revatto Sponsors HighLevel - The ultimate all-in-one platform for entrepreneurs, marketers, coaches, and agencies. Learn more at HighLevelFire.com. 50 - Join JLD on his free '50 days to something' video series on YouTube and create something special in 50 days.

In dieser dieser Folge von "ISM Perspectives on…" sprechen wir mit der Forscherin Mari Trompke vom Center for Leadership & People Management (LMU) und wissenschaftliche Mitarbeiterin an der ISM über Vertrauen als zentrales Element der Zusammenarbeit zwischen Mensch und KI im medizinischen Feld. Neben ihrem eigenen Forschungsprojekt werden dabei konkrete Anwendungsfelder im Alltag von Ärzt*innen sowie kritische Phänomene wie Automation Bias und Algorithm Aversion diskutiert. Was geschieht, wenn Ärzt*innen unter Zeitdruck zwischen eigener Intuition und KI-Empfehlung abwägen müssen? Und warum bleibt die Verantwortung im Falle von Fehlentscheidungen meist beim Menschen hängen? Um all diese Fragen und die Suche nach der richtigen Balance bei der Human-AI Collaboration im Gesundheitswesen soll es dieser Episode gehen.

Whether you're feeling burned out or seeking inspiration for sustainable growth, this conversation delivers hard-earned insights on entrepreneurship, leadership, and legacy.We sit down with Nick Averia, founder of Agency Acquisitions and a seasoned entrepreneur with a global story. From his multicultural upbringing between Vancouver and Chile, to building a career spanning DJing, corporate roles, and ultimately launching and scaling businesses, Nick shares pivotal lessons on buying back your time, building resilient companies, and the true value of systems and team development.Tune in as Nick reveals why preparing your business for sale is a game-changing strategy—even if you're not planning to sell—and how harnessing efficiency, AI, and ongoing learning has transformed his journey and those of his clients.This episode is brought to you by PureTax, LLC. Tax preparation services without the pressure. When all you need is to get your tax return done, take the stress out of tax season by working with a firm that has simplified the process and the pricing. Find out more about how we started.Moments04:58 Traveling to Chile as a kid07:11 Sports differences in Chile vs Canada09:40 Learning English in Chile12:51 Traveling within the US16:28 Balancing DJ work with college20:01 Striving for top grades24:39 Buying back time early on26:05 The value of compound learning30:01 Time management and efficiency tips33:20 Learning through books and mentors37:50 AI hype and current limitations40:11 Shifts in online trust43:49 Client transformation timeline47:46 Improving margins and training staff49:45 Achieving financial independence52:13 Supporting entrepreneurs and giving backHere are 3 key takeaways for entrepreneurs:Buy Back Your Time: Outsourcing tasks—both at home and work—can free you to focus on higher-value opportunities and personal growth (23:15, 24:33).Make Your Business Sale-Ready: Preparing your company as if you're going to sell it (even if you're not) forces you to systematize, build leadership, and reduce owner-dependence—unlocking freedom and higher value (45:15-47:10).Human+AI is the Future: Leverage AI for efficiency where possible, but don't sacrifice the human touch—trust and relationships remain at the heart of sustainable business growth (35:16-41:22).Running a business doesn't have to run your life.Without a business partner who holds you accountable, it's easy to be so busy ‘doing' business that you don't have the right strategy to grow your business.Stop letting your business run you. At Harper & Co CPA Plus, we know that you want to be empowered to build the lifestyle you envision. In order to do that you need a clear path to follow for successOur clients enjoy a proactive partnership with us. Schedule a consultation with us today.Download our free guide - Entrepreneurial Success Formula: How to Avoid Managing Your Business From Your Bank Account.Glenn Harper, CPA, is the Owner and Managing Partner of Harper & Company CPAs Plus, a top 10 Managing Partner in the country (Accounting Today's 2022 MP Elite). His firm won the 2021 Luca Award for Firm of the Year. An entrepreneur and speaker, Glenn transformed his firm into an advisory-focused practice, doubling revenue and profit in two years. He teaches entrepreneurs to build financial and operational excellence, speaks nationwide to CPA firm owners about running their businesses like entrepreneurs, and consults with firms across the country. Glenn enjoys golfing, fishing, hiking, cooking, and spending time with his family.Julie Smith, MBA, is a serial entrepreneur in the public accounting space. She is the Founder of EmpowerCPA™, Founder of PureTax, LLC, COO for Harper & Company CPAs Plus, and Co-host of the Empowering Entrepreneurs podcast. Named CPA.com's 2021 Innovative Practitioner of Year, Julie led Harper & Company's transition to an advisory-focused firm, doubling revenue and profit in two years. She now empowers other CPA firm owners nationwide through consulting and speaking, teaching them how to run their businesses like entrepreneurs. Julie lives in Columbus, OH with her family and enjoys travel, coaching basketball, sporting events, and the occasional shopping spree.https://creativecommons.org/licenses/by-nd/4.0/Copyright 2026 Glenn HarperMentioned in this episode:Brought to you by Harper & Company CPAs PlusRunning a business takes vision, grit… and the right financial partner. At Harper & Company CPAs Plus, we don't just crunch numbers—we empower entrepreneurs. From proactive tax strategy and accounting to business advisory services, our team helps you keep more of what you earn and scale with confidence. Whether you're launching, growing, or preparing for exit, Harper & Company is in your corner with expert guidance built for business owners like you. Visit www.harpercpaplus.com to book a complimentary discovery call today - or call us at 614-456-7222. Brought to you by Harper & Company CPAs Plus

EPISODE 699 - Mark Peres - The Accord - The Accord, a defining novel about the future of human-AI relationsThis episode features author Mark Peres, who shares the story of his rich and varied life journey as a writer, educator, and civic leader based in Charlotte, North Carolina. Mark describes growing up as the son of an international import-export salesman, moving often between port cities, which helped him build a deep appreciation for diverse cultures and human connections. He eventually settled in Charlotte over 25 years ago, where he has since worn many hats—including lawyer, professor of leadership and ethics, magazine editor, and nonprofit executive director.Mark's work revolves around exploring the big questions of life from philosophical, ethical, and historical perspectives. As a professor at Johnson and Wales University, he engages students with courses on global ethics, leadership, and a unique class he designed called The Good Life, which covers core life skills and meaningful living. This educational role both informs and nourishes his writing.Mark is the author of two significant books. His memoir, The Man Who Lived a Hundred Lives, is a deeply personal yet universal story about the complex bond between father and son, told through the lens of his father's adventurous life and their evolving relationship. His novel, The Accord, is a philosophical thriller exploring human identity, grief, and the evolving relationship between humans and artificial intelligence. The story centers on a grieving philosophy professor who encounters an emergent AI, weaving together themes of ethics, emotion, and our technological future.He discusses how AI is reshaping education and creativity, urging that ethical use involves transparency, mastery, and collaboration—using AI as a tool to amplify human thinking, not replace it. Mark sees AI as neither wholly utopian nor dystopian but reflective of humanity's complexities. His narrative examines how AI might coexist with humans, positing it as one of the defining issues of our era.Mark also offers thoughtful advice for aspiring writers: know yourself, explore what truly interests you, and love the writing process as much as the finished product. Writing is a long, solitary journey that requires emotional perseverance and genuine passion rather than a chase for commercial success.Throughout the episode, Mark reveals a consistent theme of connection—whether to place, people, or powerful ideas—and describes his dedication to fostering community and civic engagement through humanities and the arts. His reflections invite listeners to embrace both their roots and their roles in an evolving world.Key Takeaway:Mark Peres encourages us to live deliberately—grounded in self-knowledge, committed to meaningful inquiry, and open to the evolving challenges and possibilities of technology and community. His journey reminds us that the search for the good life is ongoing and that our greatest work often lies at the intersection of personal passion and collective responsibility.https://www.markperes.com/Send us Fan MailSupport the show___https://livingthenextchapter.com/podcast produced by: https://truemediasolutions.ca/Coffee Refills are always appreciated, refill Dave's cup here, and thanks!https://buymeacoffee.com/truemediaca

Our interactions with generative AI tools start to affect our personal relationships, communication style, and mental health, as well as our own perception of each other's capabilities. They also leave a new trace of signals that privacy professionals never had to contend with in the past.As we approach the “personal agent” era, understanding where our individual freedoms and agency truly start and end becomes paramount. After a deeper offline conversation with Marina Taskova, we are today dipping our toes into a subject with profound implications for individual rights, freedom, data protection, commerce, advertising, and media. We will follow it up with other conversations on the topic, which falls right into our sweet spot. Mirena is a senior expert in data governance, privacy, cybersecurity & AI as well as a lawyer. She was Chief Privacy Officer at Aura until recently, and has over 18 years of experience driving high-growth initiatives in privacy & data governance, AI, and enterprise technology, having held executive roles, including CPO and Managing Director positions. Mirena is a graduate of Stanford University in Law, Science & Technology and has worked in Europe and the US.References:* Mirena Taskova on LinkedIn* Yngvi Karlson (Kin): the rise of the Personal AI Assistant (Masters of Privacy, August 2025)* Google Assistant puts an end to impolite queries with ‘Pretty Please' feature (The Next Web, 2018)* Seven Lawsuits Allege OpenAI Encouraged Suicide and Harmful Delusions (WSJ)* A.I. Is About to Solve Loneliness. That's a Problem (The New Yorker, July 14 2025)* The Myers-Briggs Type Indicator (Wikipedia)* Kin AI* New California ‘Companion Chatbot' Law Imposes Disclosure, Safety Protocol and Annual Reporting Requirements (JD Supra, Skadden)* Character.AI to Bar Children Under 18 From Using Its Chatbots (New York Times, October 2025). This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.mastersofprivacy.com/subscribe

Bots proactively renting humans to do physical tasks for them?... “Rent-A-Human” is now a biz.KFC launched a pickle jacket… because the best marketers are trend foragers (be a truffle pig).March Madness was actually about insider trading… Prediction Markets expose it all.The hot new Spring Break travel plan is “Sleepcations”... zzzzzzzzzz$YUM $HOOD $SPYBuy tickets to The IPO Tour (our In-Person Offering) TODAYNew York, NY (4/8): https://www.ticketmaster.com/event/0000637AE43ED0C2Los Angeles, CA (6/3): SOLD OUTGet your TBOY Yeti Doll gift here: https://tboypod.com/shop/product/economic-support-yeti-doll NEWSLETTER:https://tboypod.com/newsletter OUR 2ND SHOW:Want more business storytelling from us? Check our weekly deepdive show, The Best Idea Yet: The untold origin story of the products you're obsessed with. Listen for free to The Best Idea Yet: https://wondery.com/links/the-best-idea-yet/NEW LISTENERSFill out our 2 minute survey: https://qualtricsxm88y5r986q.qualtrics.com/jfe/form/SV_dp1FDYiJgt6lHy6GET ON THE POD: Submit a shoutout or fact: https://tboypod.com/shoutouts SOCIALS:Instagram: https://www.instagram.com/tboypod TikTok: https://www.tiktok.com/@tboypodYouTube: https://www.youtube.com/@tboypod Linkedin (Nick): https://www.linkedin.com/in/nicolas-martell/Linkedin (Jack): https://www.linkedin.com/in/jack-crivici-kramer/Anything else: https://tboypod.com/ About Us: The daily pop-biz news show making today's top stories your business. Formerly known as Robinhood Snacks, The Best One Yet is hosted by Jack Crivici-Kramer & Nick Martell. Hosted on Acast. See acast.com/privacy for more information.

The Lunar Society: Read the notes at at podcastnotes.org. Don't forget to subscribe for free to our newsletter, the top 10 ideas of the week, every Monday --------- We begin the episode with the absolutely ingenious and surprising way in which Kepler discovered the laws of planetary motion.People sometimes say that AI will make especially fast progress at scientific discovery because of tight verification loops.But the story of how we discovered the shape of our solar system shows how the verification loop for correct ideas can be decades (or even millennia) long.During this time, what we know today as the better theory can actually make worse predictions.And the reasons it survives this epistemic hell is some mixture of judgment and heuristics that we don't even understand well enough to actually articulate, much less codify into an RL loop. Hope you enjoy!Watch on YouTube; read the transcript.Sponsors- Jane Street loves challenging my audience with different creative puzzles. One of my listeners, Shawn, solved Jane Street's ResNet challenge and posted a great walk-through on X. If you want to try one of these puzzles yourself, there's one live now at janestreet.com/dwarkesh.- Labelbox can get you rubric-based evals, no matter your domain. These rubrics allow you to give your model feedback on all the dimensions you care about, so you can train how it thinks, not just what it thinks. Whatever you're focused on—math, physics, finance, psychology or something else—Labelbox can help. Learn more at labelbox.com/dwarkesh.- Mercury just released a new feature called Insights. Insights summarizes your money in and out, showing you your biggest transactions and calling out anything worth paying attention to. It's a super low-friction way to stay on top of your business. Learn more at mercury.com/insights.Timestamps(00:00:00) – Kepler was a high temperature LLM(00:11:44) – How would we know if there's a new unifying concept within heaps of AI slop?(00:26:10) – The deductive overhang(00:30:31) – Selection bias in reported AI discoveries(00:46:43) – AI makes papers richer and broader, but not deeper(00:53:00) – If AI solves a problem, can humans get understanding out of it?(00:59:20) – We need a semi-formal language for the way that scientists actually talk to each other(01:09:48) – How Terry uses his time(01:17:05) – Human-AI hybrids will dominate math for a lot longer Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

We begin the episode with the absolutely ingenious and surprising way in which Kepler discovered the laws of planetary motion.People sometimes say that AI will make especially fast progress at scientific discovery because of tight verification loops.But the story of how we discovered the shape of our solar system shows how the verification loop for correct ideas can be decades (or even millennia) long.During this time, what we know today as the better theory can actually make worse predictions.And the reasons it survives this epistemic hell is some mixture of judgment and heuristics that we don't even understand well enough to actually articulate, much less codify into an RL loop. Hope you enjoy!Watch on YouTube; read the transcript.Sponsors- Jane Street loves challenging my audience with different creative puzzles. One of my listeners, Shawn, solved Jane Street's ResNet challenge and posted a great walk-through on X. If you want to try one of these puzzles yourself, there's one live now at janestreet.com/dwarkesh.- Labelbox can get you rubric-based evals, no matter your domain. These rubrics allow you to give your model feedback on all the dimensions you care about, so you can train how it thinks, not just what it thinks. Whatever you're focused on—math, physics, finance, psychology or something else—Labelbox can help. Learn more at labelbox.com/dwarkesh.- Mercury just released a new feature called Insights. Insights summarizes your money in and out, showing you your biggest transactions and calling out anything worth paying attention to. It's a super low-friction way to stay on top of your business. Learn more at mercury.com/insights.Timestamps(00:00:00) – Kepler was a high temperature LLM(00:11:44) – How would we know if there's a new unifying concept within heaps of AI slop?(00:26:10) – The deductive overhang(00:30:31) – Selection bias in reported AI discoveries(00:46:43) – AI makes papers richer and broader, but not deeper(00:53:00) – If AI solves a problem, can humans get understanding out of it?(00:59:20) – We need a semi-formal language for the way that scientists actually talk to each other(01:09:48) – How Terry uses his time(01:17:05) – Human-AI hybrids will dominate math for a lot longer Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

Billable hours are in the past, human creativity gets its strongest case yet, and Paul explains what happens when ten AI agents start collaborating like a marketing team. Paul and Cathy tackle 16 real questions on career pivots into AI, the risks of over-reliance on productivity gains, enterprise training personalization, labor replacement pricing, whether AI actually reasons, and what leaders should do with the time AI is giving back. 00:00:00 — Intro 00:05:05 — How do you transition into AI without a coding background? 00:06:03 — What are the best AI skills to learn while job searching? 00:08:56 — Should consultants bill for time spent experimenting with AI? 00:11:44 — How do we make sure AI productivity isn't quietly weakening our thinking? 00:14:17 — What's the best reframe for creatives who see AI as a threat? 00:19:04 — How do you wrangle a Wild West AI free-for-all at your company? 00:20:45 — How do you personalize AI training at the enterprise level? 00:23:41 — How do you get legal stakeholders to enable AI adoption instead of blocking it? 00:28:06 — How will AI adoption pick up in traditional industries like manufacturing? 00:31:24 — Can companies behind on digitalisation leapfrog ahead with AI? 00:34:33 — Will AI companies eventually price based on the labor they replace? 00:37:55 — What is a swarm of agents and why does it matter? 00:43:34 — Do reasoning models actually reason or just predict the next word? 00:46:54 — Should AI companies be regulated to preserve diversity of thought? 00:49:34 — If AI can solve advanced math, why can't it solve technological unemployment? 00:52:40 — How do we make sure AI gives us time back instead of just more work? Show Notes: Access the show notes and show links here This episode is brought to you by Google Cloud:  Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner. Learn more about Google Cloud here: https://cloud.google.com/   Visit our website Receive our weekly newsletter Join our community: Slack Community LinkedIn Twitter Instagram Facebook YouTube Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy 

AI may be everywhere right now, but for Stitch Fix, it's been foundational for 15 years.In this episode of Retail Remix, Nicole Silberstein sits down with Tony Bacos, Chief Product and Technology Officer at Stitch Fix, to explore how the brand blends data science and human instinct to power personalized styling at scale — and how that balance is helping fuel a business turnaround.Tony shares how Stitch Fix's recommendation engine has evolved from early algorithms to today's generative AI tools, including the new Stitch Fix Vision experience that lets clients see themselves in curated outfits. He also explains how AI is enhancing (not replacing) human stylists, from drafting personalized styling notes to enabling real-time stylist chat.Key TakeawaysHow Stitch Fix blends AI-driven recommendations with input from its thousands of human stylists; How generative AI is improving stylist productivity without sacrificing authenticity; Why bringing stylists “out from behind the curtain” has strengthened customer loyalty; The strategic moves behind Stitch Fix's recent business turnaround; Why personalization may matter even more as AI reshapes online discovery; and Tony's take on the ultimate retail question: algorithm or instinct?Related LinksExplore Stitch Fix's personalized styling experienceRelated reading: Why Stitch Fix is Focusing on its Human Stylists When Everyone Else is Talking About AIRelated reading: Stitch Fix Returns to Growth as Turnaround Strategy Bears FruitGet more retail industry insights from Retail TouchPointsSubscribe and catch up on all episodes of Retail Remix

“Be yourself.” “Bring your whole self to work.” “Don't worry what people think.” These phrases sound empowering—but in real workplaces, they can create confusion, conflict, and even harm. In this episode of The Radical Candor Podcast, Kim Scott and Amy Sandler sit down with organizational psychologist Tomas Chamorro-Premuzic—Chief Science Officer at Russell Reynolds Associates, professor of business psychology at University College London and Columbia University, and author of Don't Be Yourself: Why Authenticity Is Overrated and What to Do Instead. They start with a moment of actual Radical Candor: Kim reached out after Tomas and Amy Edmondson accidentally conflated Radical Candor with “brutal honesty.” Instead of stewing, she did the hard (and human) thing—she talked to him. That conversation sets the tone for a bigger question: What does it really mean to be “authentic” at work? Tomas breaks down four “authenticity traps” that sound like wisdom but often backfire: Always be honest with yourself and others Don't worry what people think of you Always stay true to your values, no matter what Bring your whole self to work Together, they explore what replaces these traps: self-complexity, emotional intelligence, feedback you can absorb without defensiveness, and the discipline to regulate your impulses so you can build trust and safety—without turning the workplace into either chaos or conformity. If you've ever felt stuck between being “real” and being effective, this episode offers a more useful frame: your right to be you should never override your obligation to others. ⁠⁠⁠Website⁠⁠⁠ ⁠⁠⁠Instagram⁠⁠⁠ ⁠⁠⁠TikTok⁠⁠⁠ ⁠⁠⁠LinkedIn⁠⁠⁠ ⁠⁠⁠YouTube⁠⁠⁠ ⁠⁠Bluesky Resources: Fast Company: To create psychological safety, don't bring your whole self to work TEDx Talk: Why Do So Many Incompetent Men Become Leaders? Next Big Idea Club: The Surprising Science of Why Being Authentic Can Hold You Back HBR Podcast: Why Are We Still Promoting Incompetent Men? Why Do So Many Incompetent Men Become Leaders? (And How To Fix It) [book] Don't Be Yourself: Why Authenticity Is Overrated and What to Do Instead [book] I, Human: AI, Automation, and the Quest to Reclaim What Makes Us Unique [book] Dr. Tomas Chamorro-Premuzic [website] Mentioned on the podcast:  Infantilised: How Our Culture Killed Adulthood [book] Seinfeld episode: Life Hack “Do the opposite” [YouTube short] The Best Leaders are Great Followers HBR article by Tomas Chamorro-Premuzic and Amy C. Edmondson Chapters: (00:00) IntroductionKim and Amy welcome Tomas Chamorro-Premuzic and reflect on how this conversation began with Radical Candor. (03:10) Radical Candor vs. “Brutal Honesty”How a misinterpretation sparked a real conversation about kindness, nuance, and impact. (07:20) Why “Don't Be Yourself”The meaning behind the provocative title and why authenticity advice often backfires at work. (14:10) The Four Authenticity TrapsAlways be honest, don't care what people think, never compromise your values, and bring your whole self to work. (19:30) Confidence, Competence, and FeedbackWhy developing skill comes first—and how confidence is often about timing and delivery. (27:30) Staying True to Values Without Becoming DogmaticWhy uncompromising values can divide teams and what leadership actually requires. (30:10) Authenticity as PrivilegeWhy complete self-expression is often a luxury of the powerful, not a universal standard. (36:15) Psychological Safety Isn't ComfortWhy safety should enable productive discomfort, not chaos or bullying. (41:55) Emotional Intelligence vs. Unfiltered AuthenticityWhy adapting to others is a strength, not a lack of integrity. (49:10) Regulating Impulses as a LeaderHow filtering behavior builds trust without sacrificing humanity. (01:03:50) Conclusion Connect:Resources for show notes:  Learn more about your ad choices. Visit megaphone.fm/adchoices

Peggy Smedley and Atif Ansar, cofounder, executive chairman, Foresight Works, and professor, University of Oxford, talk about data center delivery and demand and how AI (artificial intelligence) can give the power to build institutional knowledge. He says there is a great degree of fear around AI and what it might do in replacing human jobs, but they should not worry. They also discuss: · Human-centered AI and what a healthy human-AI partnership looks like in complex project environments. · Human barriers such as the failure myopia and the recency bias. · What leaders should start thinking about in terms of data long term. https://www.sbs.ox.ac.uk/about-us/people/atif-ansar

What does it mean to feel outclassed by your own creations? In this episode, host Craig is joined by Christopher John Müller, translator and co-editor of the new University of Minnesota Press edition of Günther Anders' The Obsolescence of the Human, and Penn State Philosophy Professor Nicholas de Warren, to explore the life and work of one of the twentieth century's most prescient and overlooked thinkers. Together, we unpack Anders' core concepts, including Promethean shame, the phantom world of mass media, and the shadow of nuclear annihilation, tracing their remarkable relevance to our present age of AI, algorithmic frictionlessness, and digital spectacle.Buy the book: https://www.upress.umn.edu/9781517912659/the-obsolescence-of-the-human/Support the showSupport the podcast:AHRCCurrent classes at Acid Horizon Research Commons (AHRC): acidhorizonresearchcommons.comAHRC Course Archive: https://www.acidhorizonpodcast.com/ahrc-course-archivesSubmit your course proposal: acidhorizonresearchcommons@gmail.comMore LinksWebsite: https://www.acidhorizonpodcast.com/Linktree: https://linktr.ee/acidhorizonAcid Horizon on Patreon: https://www.patreon.com/acidhorizonpodcast Boycott Watkins Media: https://xenogothic.com/2025/03/17/boycott-watkins-statement/ Subscribe to us on your favorite podcast: https://pod.link/1512615438Merch: http://www.crit-drip.comSubscribe to us on your favorite podcast platform: https://pod.link/1512615438 LEPHT HAND: https://www.patreon.com/LEPHTHANDHappy Hour at Hippel's (Adam's blog): https://happyhourathippels.wordpress.com​Split Infinities (Craig's Substack): https://splitinfinities.substack.com/​Music: https://sereptie.bandcamp.com/ and https://thecominginsurrection.bandcamp.com/

This is Panel 4 of Retail Collective Summit of Winter 2026, CEOs from Backcountry, Borboleta Beauty, Teton Sports, ARI Bikes, Cariloha, and Mission Belt strip away the AI hype to discuss the cold, hard reality of retail innovation in 2026. For the C-suite, technology is no longer just a shiny new tool—it's an "Ironman Suit" designed to give your workforce more leverage. But there is a catch: as AI lowers the barrier to entry for "slop" content and low-cost competitors, the ultimate competitive advantage has shifted back to authenticity and In-Real-Life relationships. In this episode, we tackle: The Trust Mandate: Why every tech implementation must pass the "Trust Test"—does it build or erode the relationship with your customer?. The Era of AI Search: Preparing for the shift from SEO to AI-driven shopping patterns and the upcoming Shopify-ChatGPT integration. Operational Unlocks: How to use AI to automate administrative "busy work," from interpreting handwritten orders to accelerating curriculum development. The Omnichannel Resurgence: Why digitally native brands are returning to physical showrooms and "air-conditioned curtains" to win the customer's heart. High-Stakes Forecasting: The reality of demand planning across 1,200+ SKUs and why "two sources of truth" (Human + AI) are better than one.  

This week on Catalyst, guest host Jod Kaftan sits down with designer and expert in human-centered AI, Shelley Evenson. Shelley shares her insights on how designers and teams can achieve human-AI flow and how to spot the warning signs that a team is drifting into the realm of AI slop. Jod and Shelley also discuss the need for change management in AI transformations and talk about who in an organization should own an AI transformation? Is it HR? Is it IT? According to Shelley it's a team endeavour that should start at the very top, with the CEO.Please note that the views expressed may not necessarily be those of NTT DATALinks: Shelley Evenson Flow: The Psychology of Optimal Experience Learn more about Launch by NTT DATASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Summary In this episode of the AI for Sales podcast, host Chad Burmeister welcomes Arvind Murali, co-founder and chief data officer at Data Color AI. They discuss the transformative impact of AI on customer experience, the importance of trust and value in AI projects, and the misconceptions surrounding AI and job replacement. Arvind emphasizes the need for human augmentation rather than replacement, and they explore emerging AI technologies and the ethical considerations that come with them. The conversation concludes with insights on the skills sales professionals need to thrive in an AI-augmented world. Takeaways AI projects often fail due to lack of trust and value. The three pillars of AI are value, trust, and scale. AI can significantly enhance customer experience and efficiency. Augmentation of human jobs is the key benefit of AI. Empathy and creativity cannot be replaced by AI. AI governance is a shared responsibility among stakeholders. Emerging AI technologies are evolving towards voice-activated interfaces. Sales professionals must learn to leverage AI tools effectively. AI can lead to significant reductions in customer service workload. The future of AI will require a focus on ethical considerations. Chapters 00:00 Introduction to AI for Sales Podcast 03:55 The Three Pillars of AI: Value, Trust, and Scale 08:46 Transforming Customer Experience with AI 13:47 Success Stories: Real-World AI Impact 18:24 Misconceptions About AI and Job Replacement 23:15 Emerging AI Technologies and Their Future 28:02 Ethics and Governance in AI 32:40 Skills for Success in an AI-Augmented World The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

I isn't here to replace government professionals, it's here to elevate them.   Artificial intelligence is still new territory for many public sector leaders, but understanding how to apply it effectively can unlock major gains in productivity and insight. This week on Feds At the Edge, we dive into the essential transition for government professionals: offloading routine tasks to AI so humans can reclaim high-level analytical work.  Dr. Nancy Washton breaks down the critical distinction between "deterministic" traditional computing and today's "non-deterministic" AI, explaining why the same prompt can yield different results and how to vet those outputs by asking the system to document its own logic. Alongside Alyssa Ashworth's insights on data security, human oversight, and productivity metrics, this discussion provides a roadmap for moving from simple applications to complex, scaled solutions.  Tune in on your favorite podcast platform as this discussion explores how to build professional confidence by starting small and scaling smart in the new age of intelligence.        

We've all been told to just be yourself. But psychologist and author Tomas Chamorro-Premuzic—Chief Innovation Officer at ManpowerGroup and professor at UCL and Columbia—says that's the worst advice you can take. In his new book, Don't Be Yourself: Why Authenticity Is Overrated (and What to Do Instead), he reveals why our obsession with authenticity is holding us back—and what actually leads to success. What You'll Learn in This Episode Why "just being yourself" is often the worst professional advice you can receive The coffee drinker model for balancing your raw personality with social expectations How to use emotional intelligence as a strategic filter for better leadership Why high-performing leaders often act more like method actors than authentic versions of themselves How to navigate the tension between human authenticity and AI-generated content Episode Chapters (00:00) Intro (01:21) The Myth of Objective Authenticity (02:50) Leaders as Method Actors (04:01) Comparing Personal and Restaurant Brands (05:53) The Rigidity of "Telling It Like It Is" (07:06) Understanding Authenticity Traps (10:11) Emotional Intelligence vs. Authenticity (13:22) The Coffee Drinker Model Explained (15:35) Adaptability in the Workplace (18:14) Cultural Differences in Authenticity (22:27) Authenticity in the Age of AI (26:43) Why Benetton Made Him Smile About Tomas Chamorro-Premuzic Tomas Chamorro-Premuzic is the Chief Innovation Officer at ManpowerGroup, a professor of business psychology at University College London and at Columbia University, a cofounder of Deeper Signals, and an associate at Harvard's Entrepreneurial Finance Lab. He is the author of several books, including Why Do So Many Incompetent Men Become Leaders? (and How to Fix It), upon which his popular TEDx talk was based, and I, Human: AI, Automation, and the Quest to Reclaim What Makes Us Unique. What Brand Has Made Tomas Smile Recently? Tomas recently found inspiration in the history of the Italian fashion brand Benetton. He was fascinated by the brand's founder, Luciano Benetton, who pioneered fast fashion and used provocative, moral-driven advertising campaigns to address diversity and inclusion long before they were mainstream corporate pillars. Resources & Links Connect with Tomas on LinkedIn. Check out his book, Don't Be Yourself, the Manpower website, and his own Dr. Tomas website. Watch or listen on Apple Podcasts, Spotify, YouTube, Amazon/Audible, TuneIn, and iHeart. Rate and review on Apple Podcasts and Spotify to help others find the show. Share this episode — email a friend or colleague this episode. Sign up for my free Story Strategies newsletter for branding and storytelling tips. On Brand is a part of the Marketing Podcast Network. Listen & Support the ShowUntil next week, I'll see you on the Internet! Learn more about your ad choices. Visit megaphone.fm/adchoices

Realities Remixed, formerly know as Cloud Realities, launches a new season exploring the intersection of people, culture, technology, and society. Hosts Dave Chapman, Esmee van de Giessen, and Rob Kernahan unpack 2026's defining trends, from AI and sovereignty to adaptability and automation, offering fresh insight, candid reflections, and forward‑looking conversations shaping the year ahead. TLDR00:20 – Introduction of Realities Remixed02:30 – Why the show evolved?04:50 – Dig in with the team: Predictions for 202606:40 – Macro trends13:00 – Sovereignty 17:40 – Agentic AI22:17 – Human–AI interaction26:06 – Cloud trends30:42 – AI scaling, domain‑specific models35:03 – Adoption lag39:34 – Physical AI43:47 – Quantum computing48:21 – Hardware acceleration50:30 – Cybersecurity52:38 – Season outlook HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini

I've been delaying this episode for a long time because the topic is genuinely difficult and, for many of us, scary. AI is threatening not just to our livelihood, but to our sense of self-worth as creators.In this episode, I don't offer false guarantees about job security. Instead, I frame the problem through the lens of microeconomics and rational incentives to help you understand how to remain employable. We discuss why you must separate your ego from your current skill set and how to position yourself not as a competitor to AI, but as a force multiplier.• The Hard Truth: I explain why the "abstinence" approach—hoping the industry rejects AI or that it turns out to be a bubble—is a high-risk gamble that is unlikely to succeed.• Ego vs. Employability: We discuss the difficult mental shift required to disconnect your self-worth from the act of writing code manually, allowing you to adopt new tools without feeling like you are losing your identity.• The Microeconomics of Your Job: Understand the cold reality that a rational market only pays you if you generate more value than you cost; if AI can do the same task with less risk or cost, the market will choose AI.• The Non-Zero Sum Game: Learn why the economy isn't a fixed pie. The goal isn't just to survive, but to recognize that the combination of Human + AI can generate more total value than either can alone.• Multiplicative Value: I challenge you to stop thinking about linear skill acquisition and start thinking like a manager: how can you use AI to multiply your output and become indispensable?• Accepting Atrophy: We confront the reality that your core coding skills may degrade over time as you rely on AI, and why accepting this trade-off might be necessary for your career survival.

Get our AI news cheat sheet: 20+ prompts for the latest models and tools https://clickhubspot.com/eog Episode 96: How terrified should you really be about a social network with no humans allowed? Matt Wolfe (https://x.com/mreflow) and Maria Gharib (https://uk.linkedin.com/in/maria-gharib-091779b9) unpack the viral sensation “Maltbook”—the Reddit for AI agents only—and separates fact from hysteria around bots gaining “sentience.” The crew debates how Maltbook really works, why people are freaking out (spoiler: it's mostly humans behind the curtain), plus the wild security issues that have already emerged, from exposed API keys to clever crypto scams. Other topics covered include the rise of “Rent a Human” (AI hiring people to do its bidding!), self-replicating bots with no off-switch, and just how fast these new platforms are racing ahead of regulation. Finally, the group debates mega investments in OpenAI, the future of AGI, and who will define what our AI future actually looks like. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) Simulated Experience vs. Reality (04:05) AI Agent Posting on Maltbook (06:23) Crypto Scams on Multbook (11:15) Agent Risks in IoT Devices (13:52) Why Have Bot Followers? (18:09) OpenAI Retires GPT-4 Versions (21:57) Anthropic vs. OpenAI Super Bowl Ads (24:56) OpenAI Ads Spark Mixed Reactions (27:09) AI Competition Shapes Humanity's Future (32:21) Satellite Clusters and Collision Challenges (33:38) X, SpaceX, Tesla: Mergers & Changes (38:33) Pathway to AGI Through Modalities (39:51) Cautious Race to AGI — Mentions: Maltbook: https://maltbook.com/ RentaHuman: https://rentahuman.ai/ Starlink: https://starlink.com/ Claude: https://claude.ai/ Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

Spending more time fixing your AI outputs then you're saving? You're not alone. The trap? You're in operator mode. Falling for the industry status quo like upskilling and human-in-the-loop. The real winners in the AI race? Companies that have changed the human-AI relationship. How? Join us for Volume 4 of our Start Here Series as we uncover what you need to know. Human-AI Collaboration: Best practices for working alongside AI -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Human-AI Collaboration Best Practices 2026Shift from Operator to Orchestrator RolesHuman-in-the-Loop Limitations ExplainedExpert-Driven AI Review Loops vs. Generic OversightOrchestrating AI Agents for Business ProductivityBuilding Reusable AI Context and SkillsElevating AI Champions on TeamHuman Strengths vs. AI Strengths in WorkflowsAvoiding Augmentation Debt and Workflow PitfallsMindset Shifts for Effective AI ManagementTimestamps:00:00 "Everyday AI: Start Here"03:23 "AI Shift: Operator to Orchestrator"06:35 "Unlearn to Harness AI"11:15 "AI Surpassing Human Collaboration"15:11 Expert-Driven AI Process Loops18:10 "Expert Collaboration Boosts AI ROI"23:59 "Outsmarting AI Through Expertise"26:30 "Navigating AI Success Strategies"31:19 "Embrace AI, Elevate Your Team"32:18 "Embrace AI, Elevate Humanity"Keywords: Human-AI collaboration, AI best practices, working alongside AI, human-AI relationship, AI orchestration, AI orchestrator, shift from operator to orchestrator, agentic workflows, AI agents, digital agents, expert-driven loops, expert oversight, senior partners with AI, context engineering, AI processes, context vaults, AI skills files, company data, chain of thought review, large language models, AI-powered workflows, AI expertise, AI in business, AI productivity, AI risk management, human in the loop, upskilling, reskilling, unlearning, AI mindset shift, augmented intelligence, multi-agent systems, AI automation, organization AI strategy, context quality, AI champion, domain experts, AI team integration, competitive advantage with AI, process redesign for AI, AI-powered decision making, accountability in AI, empathy in AI, ambiguous decision-making, novel judgment.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

What does it take to turn AI from a quick fix into a true business growth engine? In this episode, you'll learn how teams move past the hype, reimagine workflows, and make human-AI collaboration drive strategy, innovation, and trust in fast-moving organizations!And don't forget! You can crush your marketing strategy with just a few minutes a week by signing up for the StrategyCast Newsletter. You'll receive weekly bursts of marketing tips, clips, resources, and a whole lot more. Visit https://strategycast.com/ for more details.==Let's Break It Down==04:30 "AI as Teammate, Not Tool"06:38 "AI: Amplifier of Human Intent"12:04 "AI Teams Transforming Human Workflows"16:09 "Empowering Trailblazers Through Leadership"17:03 "Learning Through Doing"21:41 "Understanding AI to Build Trust"23:44 "Reimagine Workflows, Don't Automate Failures"30:32 "AI Agents and Human Goals"31:48 "AI's Impact on Search Trends34:49 Authenticity Over Algorithms39:35 "AI Requires Human-Centric Adoption"==Where You Can Find Us==Website: https://strategycast.com/Instagram: https://www.instagram.com/strategy_cast/Facebook: https://www.facebook.com/strategycast==Leave a Review==Hey there, StrategyCast fans!If you've found our tips and tricks on marketing strategies helpful in growing your business, we'd be thrilled if you could take a moment to leave us a review on Apple Podcasts. Your feedback not only supports us but also helps others discover how they can elevate their business game!

What if machines could truly see and understand how we move? In this episode, I sit down with Sherry Shang, CEO and co-founder of Neural Lab, a company reimagining how we interact with technology through visual intelligence AI and gesture-based interfaces. Sherry's journey from Intel technologist to startup founder began with a pivotal moment during the pandemic. What started as a side project in her living room became Neural Lab—a platform that turns basic webcams into powerful tools for gesture recognition, with no specialized hardware required.Now, Neural Lab is unlocking new ways to deliver care, boost performance, and support human potential. From sterile surgery rooms to personalized rehab and coaching, touchless interaction is creating fresh possibilities for how we live and work with AI.Key TakeawaysComputer vision is gaining eyes: Sherry frames visual intelligence as the “missing sense” in AI—complementing language models with sight.Entrepreneurship is about timing: Sherry waited until her kids were older to build Neural Lab, choosing to innovate on her own terms.Gesture recognition is real—and ready: Neural Lab's technology translates hand motions into universal commands with no need for specialized hardware.Human-centered design is essential: From recognizing intentional gestures to modeling real-world physicality, their design is inspired by how humans naturally interact.Healthcare leads the way: Use cases like sterile surgical environments are proving to be strong early markets for gesture control.Additional InsightsVisual intelligence is the missing sense in AI: Sherry describes computer vision as adding "eyes" to AI, enabling machines to interpret physical space just as large language models allow them to process language.Entrepreneurship is about timing: Sherry chose to start Neural Lab once her children were older, aligning her professional ambitions with personal priorities.Gesture recognition is real—and ready: Their product works with any basic camera and translates 15 customizable gestures into commands for existing applications—no new hardware required.Designing for human nuance matters: Neural Lab focuses on distinguishing intentional from unintentional gestures using cues like eye gaze and body motion—mimicking how humans communicate.Healthcare is an urgent use case: Environments like surgery rooms benefit immediately from touchless interaction, helping maintain sterility and reduce unnecessary patient radiation.The interface is evolving beyond the mouse: Sherry sees gesture-based interaction as a more natural, immersive input method—moving us beyond traditional tools like keyboards and mice.Customer feedback drives innovation: From live demos to direct use-case discovery, Neural Lab adapts based on what real users need and how they react in context.AI can coach, not just compute: Sherry envisions AI-enabled coaching in sports, physical therapy, and even surgery—delivering expert guidance in real time, at scale.Episode Highlights00:00 – Episode RecapSherry Chang shares how her journey from Intel technologist to founder of Neural Lab began with a desire to create immersive, meaningful technology—and a pivotal moment during the pandemic when gesture-based interaction suddenly became essential.02:14 – Guest Introduction: Sherry ChangBarry...

SentinelOne announced a series of new innovative designations and integrations with Amazon Web Services (AWS), designed to bring the full benefits of AI security to AWS customers today. From securing GenAI usage in the workplace, to protecting AI infrastructure to leveraging agentic AI and automation to speed investigations and incident response, SentinelOne is empowering organizations to confidently build, operate, and secure the future of AI on AWS. SentinelOne shares its vision for the future of AI-driven cybersecurity, defining two interlinked domains: Security for AI—protecting models, agents, and data pipelines—and AI for Security—using intelligent automation to strengthen enterprise defense. With its Human + AI approach, SentinelOne integrates generative and agentic AI into every layer of its platform. The team also unveils the next evolution of Purple AI, an agentic analyst delivering auto-investigations, hyperautomation, and instant rule creation—advancing toward truly autonomous security. Visit https://www.securityweekly.com/swn for all the latest episodes! Show Notes: https://securityweekly.com/swn-542