When an autonomous drone picks its own target and kills civilians, who’s responsible? The commander, the developer, or the state? Cybersecurity veteran Matthew Rosenquist (36+ years, advisor to governments and corporations) explains why AI weapons need international red lines now.In this episode of Redefining AI, Lauren Hawker Zafer and Matthew discuss his Help Net Security article on autonomous AI weapons:• How weapons went from AI-assisted to fully autonomous, with no human in the loop after launch• Why a consumer AI vision chip ended up in a Russian drone used against Ukrainian civilians• The “plausible deniability” problem, and how autonomy could make war crimes easier to hide• Why banning autonomous weapons isn’t realistic, but red lines are• How the Geneva Conventions model shows international agreements can work even when not everyone signs

If you've watched generative AI over the past few years, you already understand the shift happening in military hardware. You've just seen it with lower stakes.

Weapons are following the same arc. The first generation of AI in warfare was a very capable assistant. Algorithms crunched telemetry, handled navigation, flagged shapes that looked like tanks but a human operator stayed in the loop, looked at the picture, and made the call. The failure modes were human ones: an overloaded operator, a jammed or intercepted comms link.

You hand it a mission objective and let it go. It plots its own route, coordinates with other autonomous assets, picks targets, and strikes. After launch, there's no one in the loop at all. The failure modes change accordingly: model drift, misidentified targets, and collateral damage delivered at machine speed.

In enterprise software, an agent that goes rogue books the wrong flight or deletes a database. On the battlefield, the error bars are measured in lives.

Here's the part that should make the commercial tech industry uncomfortable: none of this requires exotic, classified hardware anymore.

In his Help Net Security article, Rosenquist points to a case in which an Nvidia vision processor, a chip built for low-power edge computing, self-driving cars, and consumer photography drones, turned up inside a Russian military drone used against Ukrainian civilians in Zaporizhzhia.

His analogy is blunt. "I can design the perfect hammer to build homes for the homeless, but somebody can take that hammer and hit their neighbor in the head and commit murder."

The chip did exactly what it was designed to do: see. The problem is what it was told to look for. And because the same silicon underpins cars, factories, and the drone your cousin flies at weddings, choking it off at the source isn't realistic without kneecapping entire civilian industries. The real vulnerability isn't in the fab. It's in how little software it now takes to turn a benign chip into a weapon that thinks for itself.

The military's "kill chain" is the sequence of decisions that ends with something going boom. For decades, international humanitarian law has rested on a simple assumption about that chain: somewhere in it, a person decided.

Play it forward and you can hear the finger-pointing already. The field commander blames an algorithmic anomaly. The developer says the model performed to spec and the deployment context was unforeseeable. The state shrugs and calls it a tragic edge case. Everyone is technically telling the truth, and nobody is responsible.

Don't forget to share this episode with your friends and subscribe to the show to keep up to date with the latest episodes. And, if you feel our vibe, drop us 5* and help us grow.

With love and light, Redefining AI the Tech Podcast.

Six words, banned for thirty minutes: transformation, journey, reimagine, unlock, leverage, AI-native.

Dave Wright (Chief Innovation Officer, ServiceNow) and Brian Solis (Head of Global Innovation, ServiceNow, and 10x best-selling author) agreed to the rules before the conversation started. 

What followed was a plain-language case for why enterprise AI keeps failing. Their argument, from their new book Infinite, is that the problem was never the technology.

It's the company.

In this episode you will find out more about:

• AI-native, AI-first, AI-forward: what the labels actually mean, and why Dave thinks no company could be AI-native before generative AI

• IKEA's €13.4M service-desk automation, and the €1B+ interior design business built from the capacity it freed, with no job losses

• The "iteration trap": using the most innovative technology in history just to do yesterday's work faster

• Why most companies are tracking the wrong AI metrics, and what "token maxing" hides

• The AI tax: people using AI to write documents so long that colleagues need AI to summarise them

• Whether innovation is still possible when intelligence becomes a commodity

Most companies automate what they already do, count the hours saved, and call it a result. Very few reach the second number.

One question to sit with before you press play: the workflows running your organisation were designed around a shortage of people. If that shortage disappeared tomorrow, would anyone notice?

Follow us to keep uptodate and to stay in time for the full episode.

#RedefiningAI #Leadership #ArtificialIntelligence #AIStrategy #FutureOfWork

Six words, banned for thirty minutes: transformation, journey, reimagine, unlock, leverage, AI-native.

Dave Wright (Chief Innovation Officer, ServiceNow) and Brian Solis (Head of Global Innovation, ServiceNow, and 10x best-selling author) agreed to the rules before the conversation started.

What followed was a plain-language case for why enterprise AI keeps failing. Their argument, from their new book Infinite, is that the problem was never the technology. It's the company.

In the upcoming episode you will find out more about:

• AI-native, AI-first, AI-forward: what the labels actually mean, and why Dave thinks no company could be AI-native before generative AI
• IKEA's €13.4M service-desk automation, and the €1B+ interior design business built from the capacity it freed, with no job losses
• The "iteration trap": using the most innovative technology in history just to do yesterday's work faster
• Why most companies are tracking the wrong AI metrics, and what "token maxing" hides
• The AI tax: people using AI to write documents so long that colleagues need AI to summarise them
• Whether innovation is still possible when intelligence becomes a commodity

Most companies automate what they already do, count the hours saved, and call it a result. Very few reach the second number.

One question to sit with before you press play: the workflows running your organisation were designed around a shortage of people. If that shortage disappeared tomorrow, would anyone notice?

Follow us to keep uptodate and to stay in time for the full episode.

#RedefiningAI #Leadership #ArtificialIntelligence #AIStrategy #FutureOfWork

Most of the voices we hear on AI sit in one chair.

Louisa Loran sits in several at once: operator, author, board director, and trusted advisor to Fortune 500 boards navigating once-in-a-generation change.

In episode three of Redefining AI, season five host Lauren Hawker Zafer talks with Louisa about the difference between using AI to hollow out a company and using it to amplify its strengths.

Lauren and Louisa dig into how to protect your core proposition, how to spot a real moat, the generational and gender dynamics shaping adoption, and the four leadership behaviors, envision, expand, steer, embody at the heart of her Amazon-bestselling book, Leadership Anatomy in Motion.

In the episode:

• Why the real AI divide isn’t fast vs. slow

• The three-ring framework for what to protect, match, and rent

• What tacit knowledge and a “data-access culture” mean for your moat

• The one leadership behavior you can’t outsource

• Why the AI gender gap could be an opportunity for women to lead Louisa Loran is the author of Leadership Anatomy in Motion (Fast Company Press).

Louisa has advised Fortune 500 boards, sits on the board of one of Europe’s largest business schools, and helped pivot one of the world’s biggest shipping companies into integrated logistics. Hear how she’d put AI to work, without hollowing your company out.

Follow Redefining AI for more conversations at the intersection of leadership and technology.

#RedefiningAI #Leadership #ArtificialIntelligence #AIStrategy #FutureOfWork

Most of the voices we hear on AI sit in one chair. Louisa Loran sits in several at once: operator, author, board director, and trusted advisor to Fortune 500 boards navigating once-in-a-generation change.

In episode three of Redefining AI, host Lauren talks with Louisa about the difference between using AI to hollow out a company and using it to amplify its strengths. They dig into how to protect your core proposition, how to spot a real moat, the generational and gender dynamics shaping adoption, and the four leadership behaviors, envision, expand, steer, embody at the heart of her Amazon-bestselling book, Leadership Anatomy in Motion.

In the upcoming episode:

• Why the real AI divide isn’t fast vs. slow

• The three-ring framework for what to protect, match, and rent

• What tacit knowledge and a “data-access culture” mean for your moat

• The one leadership behavior you can’t outsource

• Why the AI gender gap could be an opportunity for women to leadLouisa Loran is the author of Leadership Anatomy in Motion (Fast Company Press).

Follow Redefining AI for more conversations at the intersection of leadership and technology. She has advised Fortune 500 boards, sits on the board of one of Europe’s largest business schools, and helped pivot one of the world’s biggest shipping companies into integrated logistics.

Hear how she’d put AI to work, without hollowing your company out.

#RedefiningAI #Leadership #ArtificialIntelligence #AIStrategy #FutureOfWork

Why Most Enterprise AI Projects Hit a "Value Ceiling" — And How to Break Through | Dr. Fern Halper

What separates the companies actually winning with AI from the ones burning budget on chatbots that go nowhere? In this upcoming episode of Redefining AI, host Lauren Hawker Zafer sits down with Dr. Fern Halper — VP of Research at TDWI, Founder of the AI Foundations Group, former Bell Labs lead analyst, and one of the most respected voices in enterprise AI strategy — to unpack the ideas behind her highly anticipated new book, Data Makes the World Go 'Round: The Data, Tech, and Trust Behind AI Success.

With over 30 years bridging deep technical execution and C-suite strategy, Dr. Halper explains why so many organisations are stuck chasing hype instead of value, and what it actually takes to move AI from lab experiments into production systems that drive real ROI.

Inside this episode, you'll learn:

• Why generative AI hits a "value ceiling" without trusted, governed data foundations
• The execution traps that sank AI initiatives at Zillow, Amazon, and others
• How data lakehouses and data fabric architectures unify siloed data for AI
• Why MLOps is so hard — and why every model eventually degrades
• The critical difference between data governance and AI governance
• How agentic AI changes the risk equation when systems start taking autonomous actions
• The shift from controlling what AI produces to overseeing what AI does
• How to tie AI use cases to measurable KPIs instead of vanity metrics
• Embedding fairness, explainability, and EU AI Act compliance without killing innovation
• Defending against shadow AI while democratising analytics across the business

Whether you're a CDO, CIO, VP of Data, AI product leader, or a business executive under pressure from your board to "do something with AI," this is the strategic playbook you've been waiting for.

🎧 Subscribe to Redefining AI for weekly conversations with the people shaping the future of enterprise AI, data strategy, and responsible innovation.

📘 Get the book: Data Makes the World Go 'Round: The Data, Tech, and Trust Behind AI Success by Dr. Fern Halper

#RedefiningAI #ArtificialIntelligence #EnterpriseAI #GenerativeAI #AgenticAI #AIStrategy #DataStrategy #AIGovernance #DataGovernance #MLOps #DataLakehouse #DataFabric #ResponsibleAI #AIEthics #EUAIAct #AIRegulation #DataLeadership #CDO #ChiefDataOfficer #BusinessIntelligence #AIAdoption #DigitalTransformation #FernHalper #TDWI #AIFoundations #AIBook #TechPodcast #AIPodcast #BusinessPodcast #LeadershipPodcast #DataScience #MachineLearning #LLM #AIReadiness #ShadowAI #AlgorithmicBias #ExplainableAI #FairnessByDesign #AIInfrastructure #DataDriven #TrustedAI #AIRisk #AICompliance #DataMining #PredictiveAnalytics #FutureOfWork #AIInBusiness

Why Most Enterprise AI Projects Hit a "Value Ceiling" — And How to Break Through | Dr. Fern Halper

What separates the companies actually winning with AI from the ones burning budget on chatbots that go nowhere? In this upcoming episode of Redefining AI, host Lauren Hawker Zafer sits down with Dr. Fern Halper — VP of Research at TDWI, Founder of the AI Foundations Group, former Bell Labs lead analyst, and one of the most respected voices in enterprise AI strategy — to unpack the ideas behind her highly anticipated new book, Data Makes the World Go 'Round: The Data, Tech, and Trust Behind AI Success.

With over 30 years bridging deep technical execution and C-suite strategy, Dr. Halper explains why so many organisations are stuck chasing hype instead of value, and what it actually takes to move AI from lab experiments into production systems that drive real ROI.

Inside this upcoming episode, you'll learn:

• Why generative AI hits a "value ceiling" without trusted, governed data foundations
• The execution traps that sank AI initiatives at Zillow, Amazon, and others
• How data lakehouses and data fabric architectures unify siloed data for AI
• Why MLOps is so hard — and why every model eventually degrades
• The critical difference between data governance and AI governance
• How agentic AI changes the risk equation when systems start taking autonomous actions
• The shift from controlling what AI produces to overseeing what AI does
• How to tie AI use cases to measurable KPIs instead of vanity metrics
• Embedding fairness, explainability, and EU AI Act compliance without killing innovation
• Defending against shadow AI while democratising analytics across the business

Whether you're a CDO, CIO, VP of Data, AI product leader, or a business executive under pressure from your board to "do something with AI," this is the strategic playbook you've been waiting for.

🎧 Subscribe to Redefining AI for weekly conversations with the people shaping the future of enterprise AI, data strategy, and responsible innovation.

📘 Get the book: Data Makes the World Go 'Round: The Data, Tech, and Trust Behind AI Success by Dr. Fern Halper

#RedefiningAI #ArtificialIntelligence #EnterpriseAI #GenerativeAI #AgenticAI #AIStrategy #DataStrategy #AIGovernance #DataGovernance #MLOps #DataLakehouse #DataFabric #ResponsibleAI #AIEthics #EUAIAct #AIRegulation #DataLeadership #CDO #ChiefDataOfficer #BusinessIntelligence #AIAdoption #DigitalTransformation #FernHalper #TDWI #AIFoundations #AIBook #TechPodcast #AIPodcast #BusinessPodcast #LeadershipPodcast #DataScience #MachineLearning #LLM #AIReadiness #ShadowAI #AlgorithmicBias #ExplainableAI #FairnessByDesign #AIInfrastructure #DataDriven #TrustedAI #AIRisk #AICompliance #DataMining #PredictiveAnalytics #FutureOfWork #AIInBusiness

Dive into the high-fashion frontier where generative AI meets the runway. If you or your team are navigating the future of design and marketing, this is a NOT-TO-BE-MISSED episode, experts unpack the AI Fashion Revolution at Paris Fashion Week 2026, from Pierre Cardin’s futuristic space-bound collections to why brand integrity is the new North Star in a world of synthetic visuals.

Terry Trovato (AI Design Pioneer, Founder of The Darcy Agency) reveals how AI is democratizing the notoriously gatekept fashion industry. She breaks down how tools like Midjourney and Nano Banana are being used by giants like Prada and Chanel to amplify creative vision, while exposing the technical rigor required to keep digital designs "exact," the rise of AI-driven advertising in luxury, and why AI will never replace the magic of a physical runway.

From the Fashion AI Expo insights to creating emotional visual narratives for legendary houses, discover if AI is simply a tool for optimization or the ultimate medium for aesthetic innovation. Perfect for designers, marketers, and C-suite leaders navigating the cutting edge of data and design.

Episode Chapters

00:00 Redefining Fashion: The Aesthetic Revolution with Terry Trovato

01:30 Paris Fashion Week: Live from the Fashion AI Expo

03:20 The Pierre Cardin Debut: Reimagining Legacy in Space

04:50 Brand Integrity: Why AI Designs Must Be Exact

06:40 The Designer’s Toolkit: Midjourney, Nano Banana & Beyond

08:15 Realism vs. Aesthetic: How Prada and Chanel Lean In

09:45 Content in a Pinch: Solving Merchandise & Model Gaps with AI

11:10 Democratization: Opening the Gatekept Doors of High Fashion

12:30 The New Medium: Why AI is the "Photography" of Our Era

13:20 Elevator Pitch: The Future of Luxury Paid Media

Connect With The Thought LeadersHOST: Lauren Hawker Zafer, COO | 🎖️🎖️🎖️ 3X Award-Winning Tech Podcast Host Founder | Host, Redefining AI (Stevie/New York Digital Award Winner)

Terry Trovato Generative AI Designer & Owner of The Darcy Agency Connect with Terry Trovato - www.territrovato.comEvent ShowcaseFASHION AI EXPO Olga Gasnier, Curator, Founder fashionaiexpo.com The Podcast DisclaimerDisclaimer: The following visuals are AI-generated creative concepts developed for storytelling and entertainment purposes

What is Redefining AI?

Redefining AI is a Three-Time Award-Winning Tech Podcast. Join Lauren Hawker Zafer, Chief Operating Officer at Squirro and Stevie Silver Award–winning creator, for a bold, thought-provoking exploration of artificial intelligence. Celebrated as intellectually rigorous, globally relevant, and truly unique, the show examines how AI shapes us socially, psychologically, and even physiologically. Each episode brings together leading academics, authors, executives, and industry innovators for candid conversations that reveal what AI really means for our world!#midjourney #aiart #digitalart #artificialintelligence#midjourneyv8 #cinematicai #aiphotography #promptengineering #midjourneycommunity #AIart #VisualStorytelling #AIvideo#nanobanana #nanobanana2 #googleai #gemini3 #geminiai#physicsawareai #4kai #multilingualai #vibecoding #parisfashionweek #highfashion #fashiondesign #luxurybranding #digitalfashion #aifashion #fashionaiexpo #generativefashion #virtualinfluencer #aidesign

Paris Fashion Week is unique in itself, but what happens when AI comes into play and that unique angle is intensified even more? Redefining AI was invited as a media partner at the Fashion AI Expo in Paris during Paris Fashion Week 26.

Apart from an exclusive interview with Rodrigo Cardin, Lauren Hawker Zafer also spoke to upcoming Generative AI designer Terri Trovato . "I don't have the models. I don't have the money. But I have this tool." Terri Trovato (The Darcy Agency) explains how AI democratization is allowing designers to showcase optimal designs across holograms, digital avatars, and social campaigns without the traditional overhead.

In this interview, discover how Trovato is using AI to take luxury brands into outer space while managing to keep the integrity of brand design representation. Trovato proved that the AI democratization era is here. From the Fashion AI Expo to the runways of Paris, see how generative AI is helping designers without photographers, makeup artists, or massive budgets bring the "impossible" to life.
It’s not just prompting, it’s a revolution in integrity and imagination.  "I’ve always wanted to be a designer. I just can’t sew." Terri Trovato. 

Redefining AI is a Three-Time Award-Winning Tech Podcast. Join Lauren Hawker Zafer, Chief Operating Officer at Squirro and Stevie Silver Award–winning creator, for a bold, thought-provoking exploration of artificial intelligence.

Celebrated as intellectually rigorous, globally relevant, and truly unique, the show examines how AI shapes us socially, psychologically, and even physiologically. Each episode brings together leading academics, authors, executives, and industry innovators for candid conversations that reveal what AI really means for our world!

 #ViralTech #RedefiningAI #GenerativeAI #AIModel #MidjourneyFashion #DigitalAvatar #DemocratizeAI #AIArtist #TechTrends2026 #AIFashionWeek #FashionAIExpo #FashionTech #Shorts #FashionAI #PFW #ParisFashionWeek #AIArt #FutureOfFashion #TechDisruption 

In the episode of Redefining AI, host Lauren Hawker Zafer speaks with Sangeet Paul Choudary, the bestselling author of Platform Revolution and the 2025 Thinkers50 Strategy Award winner for his latest book, Reshuffle.

Sangeet argues that we are currently repeating the early mistakes of the Cloud era, viewing AI through the narrow lens of productivity and intelligence benchmarks (like GPT-5) rather than the structural reorganization of work itself.

Lauren and Sangeet dive deep into why the next 18 months will bring a massive "narrative correction" as organizations move from asking what AI is to what it does to their capital allocation and organizational architecture.

In this episode, you will learn:

 The Intelligence Trap: Why focusing on brute-force AI performance is a distraction from true system restructuring.

The Workforce Split: How to lead through the divide of "Blind Believers" and "Blind Rejectors."

The Reshuffle Framework: Why AI is the "missing glue" for complex systems and how to redistribute work now that knowledge is no longer scarce.

AI-Native vs. AI-Adopter: How to tell if a company is truly transforming or just "tacking on" tools (The Adobe vs. Figma distinction).

Sangeet Paul Choudary breaks down the fundamental shift from AI-adopting to AI-native, and unpacks the most relevant issue in 2026:

In an AI-adopting company, the person is the "node" and AI is the tool. In an AI-native company, the system is the node, and work is redistributed based on where intelligence (human or artificial) is most effective.

Here is a sharp, condensed way to state that principle:

The true shift isn't about augmenting individuals; it’s about rethinking the architecture of the organization itself. If you assume work must still be organized around individual silos, you aren't being AI-native. Real transformation happens when you stop asking how AI helps the person and start asking how work should be redistributed and restructured now that intelligence is a decentralized utility.

00:00 –  Sangeet Paul Choudary, author of Reshuffle, 2025 Thinkers50 Strategy Award winner 

01:30 – The Problem with the "Intelligence-First" AI Narrative

02:50 – Beyond Intelligence: How AI Restructures Organizations

04:00 – The Winners and Losers of the AI Value Pie

05:10 – Moving from Task-Level AI to System-Level Assumptions

06:20 – Lessons from the Cloud: Why History Rhymes with AI

08:00 – Adobe vs. Figma: A Case Study in Native Architecture

09:40 – Reimagining Returns: Breaking the Productivity Optimization Loop

11:15 – 2025 Prediction: The Tension, Transition, and Transformation Phases

12:50 – Avoiding the Split: Blind Believers vs. Blind Rejectors

14:10 – The 18-Month Narrative Correction: From GPT-5 Hype to ROI Reality

15:30 – How to Spot a Genuinely AI-Native Company

17:00 – Rethinking Organizational Design: Distributed vs. Individual Work

18:40 – Why AI is a Strategy and Capital Allocation Decision (Not IT)

19:50 – Closing: Aligning Sales and Leadership with the New AI Architecture 

Spotlight Fourteen

History does not repeat it rhymes. Spotlight fourteen is taken from the upcoming Redefining Episode on The Great AI Shuffle with Sangeet Paul Choudary.

Sangeet Paul Choudary, author of Reshuffle, breaks down how AI is fundamentally transforming workflows, organizational structures, and business strategy. Moving beyond the idea of AI as just an intelligence tool, he explains why AI’s real power lies in restructuring systems and unlocking entirely new sources of value.

In this upcoming episode, Choudary explores what it means to build AI-native companies, why incumbents must rethink their identities, and how examples like Figma versus Adobe illustrate the coming shift.

He also predicts a market correction and narrative reset around AI over the next 3–4 years, offering guidance for leaders on capital allocation, AI investments, and long-term strategy.

The conversation dives into AI’s role in regulated industries, its impact on sales and go-to-market strategies, and what executives must do now to stay competitive in an AI-driven economy.

Topics include:AI-native companies, future of work, workflows, organizational design, enterprise AI, strategy, regulation, sales transformation, and innovation leadership.

Who is Sangeet Paul Choudary

Sangeet Choudary is the best-selling co-author of Platform Revolution and the author of the new book Reshuffle that was awarded the 2025 Thinkers50 Strategy Award for The most impactful idea in the field of strategy.

He has advised CEOs at more than 40 Fortune 500 companies as well as pre-IPO tech firms. He is currently a Senior Fellow at the University of California, Berkeley, and has presented at leading global forums, including the G20 Summit, the World50 Summit, and the World Economic Forum.