Think AI Podcast

Latest Episodes:

Your AI Advisor Should Argue With You | Ep. 23 with Andrew Izyumov (8Figures) Oct 06, 2026

Show notes

🎙️ Your AI Advisor Should Argue With You | Andrew Izyumov

Most AI just tells you what you want to hear. When it's your life savings, that's dangerous.

Andrew Izyumov spent 12 years at Goldman Sachs investing the firm's own money. Then he built an AI advisor with five agents, one of them a risk officer whose whole job is to disagree. It costs a flat $30 a month and never holds your money.

I've spent 30 years telling companies the hard part of tech is trust. This talk proves it.

In this episode:

00:00 Why trust is the real AI problem
01:15 My $10,000 lesson in one day
02:37 From Goldman Sachs to $30 a month
06:39 Five AI agents built to disagree
10:13 Why AI agrees with you, and how to fix it
12:40 The emotional money mistakes we all make
17:21 Real estate, bonds, crypto and startups
22:29 A second opinion, not a crutch
27:31 How to teach kids to invest
31:09 The one thing AI should never decide

Which of these would you trust AI with? Tell me in the comments. And subscribe so you don't miss the next Think AI Podcast.

🔗 Links & Resources
8 Figures: 8figures.com
Andrew on YouTube: @8FiguresHQ
Andrew on LinkedIn: https://www.linkedin.com/in/andrewizyumov/

#ThinkAI #AIinFinance #Investing #AgenticAI #DaveGoyal

AI Tools Don't Win. Culture Does. | Ep. 22 with Prathima Hegde (Del Monte Foods) Sep 29, 2026

Show notes

🎙️ AI Tools Don't Win. Culture Does.
What happens when a can of beans ships with beets inside, right before Thanksgiving? At Del Monte Foods, AI turned it into a moment customers loved and a plant team that owned the fix.
My guest is Prathima Hegde, CIO of Del Monte Foods, with 20+ years leading technology, data, and AI across food, beverage, and pharma, from Tropicana to Abbott. We talk about the part of AI most companies skip. Not the model. The culture.
Prathima shares why the CIO job never really changed, why messy and missing data is still the biggest hurdle, what the AI world can learn from pharma, and the one call she will never hand to an agent.
In this episode:
00:00 Intro
01:07 How agents and Copilot changed the CIO job
03:09 From solo productivity to team value
04:56 The Thanksgiving beets in the beans can story
08:15 Agents in a traditional company: the data problem 11:40 What AI can learn from pharma
16:55 Handling fear and pushback on AI
20:05 The one decision she won't give an agent
23:12 When to use AI and when not to
27:11 Building a dashboard with AI, fast
30:32 Where to find Prathima
If your team puts up with AI instead of working with it, this one is for you. Subscribe for more real conversations on data and AI. What is one decision you would never hand to an agent? Tell me in the comments.
🔗 Links & Resources
Prathima Hegde on LinkedIn: https://www.linkedin.com/in/prathima-b-hegde/
Dave Goyal on LinkedIn: https://www.linkedin.com/in/davegoyal/
#DaveGoyal #ThinkAI #AgenticAI #CIO #AIAdoption

AI Won't Fix Bad Data. It Exposes It. | Ep. 21 with Dave Murray (FXI) Sep 22, 2026

Show notes

🎙️ AI Won't Fix Bad Data. It Exposes It. | Dave Murray
Two reports. Two different numbers. One very long meeting.
Dave Murray has spent 20+ years inside manufacturers fixing the part of AI nobody posts about: the data. He built the data foundation at Bose, then built Welch's AI program from zero, work Bentley University turned into a case study. Now he leads AI enablement at FXI.
We talk about why messy data makes AI worse, how a bedtime story exercise turned casual users into power users, and why he never starts a process conversation by talking about AI.
In this episode:
00:00 Meet Dave Murray
01:47 What changed from Bose to Welch's to FXI
05:28 Two reports, two numbers: how analytics led him to data
09:05 14 revenue metrics and a company that went bankrupt
11:46 How to sell data management to executives
15:08 The Best Buy deadline that made master data matter
18:55 Building Welch's AI program from zero
22:40 The bedtime story trick behind the Bentley case study
27:31 From RPA to AI: train it like a new employee
34:20 The pool ball rule for AI in manufacturing
37:30 Why AI should lay out your three outfits
42:49 Pilot first, data first, foundation first, then build
Guest views are his own and do not represent FXI.
Which part of your business still runs on "my number is right"? Tell me in the comments. Subscribe for more real talk on data and AI.
🔗 Links & Resources
Dave Murray on LinkedIn: https://www.linkedin.com/in/dave-w-murray/
Dave Goyal on LinkedIn: https://www.linkedin.com/in/davegoyal/
#DaveGoyal #ThinkAI #AI #DataGovernance #Manufacturing

Why AI Fails Without Clean Data | Ep. 20 with Doug Saunders (Sara Lee) Sep 08, 2026

Show notes

🎙️ Why AI Fails Without Clean Data
Doug Saunders has spent 28 years running technology in the businesses nobody posts about: waste, ice, coal, cold chain logistics, and now frozen cheesecake. He is CTO at Sara Lee Frozen Bakery, and his position on AI is refreshingly unpopular. You do not throw AI at a business for the sake of it. You find the business problem, you fix the data underneath it, and only then does the technology earn its budget.
In this conversation with Dave Goyal, Doug walks through what that actually looked like in production, including a distribution problem solved with LiDAR sensors and predictive routing that took twenty to thirty million dollars of cost out of an ice company, and a customer service bot that absorbed 500,000 interactions a year.
In this episode:
00:59 A master's in Russian history, then golf course design, then CTO
04:09 Walking into food manufacturing and finding the silos
07:03 Why data has to come before AI
08:49 Building a $180M company off QuickBooks
10:25 Your LLM has no idea what your data means
14:44 Don't throw AI at a business for business sake
16:20 The ice box problem that saved $30 million
21:30 Automating 500,000 customer interactions a year
23:56 Automating to get rid of people is the wrong approach
32:51 Trust versus governance, and the Excel experts who resist
36:20 The end of Excel jockeying
39:21 Fitting master data governance to your culture
If you are being asked to "do something with AI" before your data is ready, this one will give you the language to push back. Subscribe, and tell me in the comments what your organization automated too early.
🔗 Links & Resources
Doug Saunders on LinkedIn: https://www.linkedin.com/in/dgsaunders
Doug Saunders on Youtube: https://www.youtube.com/@Saundersdg
Sara Lee Frozen Bakery: https://saraleefrozenbakery.com/
#DataStrategy #AIinManufacturing #SupplyChain #CTO #PrivateEquity

Fix the Process First: Two Founders on Automating for Real | Ep. 19 with Noemi Kis Sep 01, 2026

Show notes

🎙️ Fix the Process First: Two Founders on Automating for Real
Most founders build a business that ends up owning them. Noemi Kis did the opposite. She built a seven-figure industrial water treatment company with a team of two, systemized it until it ran without her, and now spends about one hour a week on it while teaching 200,000+ non-technical founders how to run lean with AI.
In this episode, Dave and Noemi compare notes on what AI automation actually looks like in production, where humans still have to stay in the loop, and why refining a process before you automate it is the difference between leverage and expensive chaos.
In this episode:
00:00 A seven-figure business run by two people
02:02 The moment she realized effort had stopped equaling results
05:14 Why the business model matters more than the hustle
08:05 Running a company on one hour a week with EOS
09:40 The "lazy CEO" mindset that protects your energy
15:25 Can they do it, and do they want it? Hiring filter
17:22 Don't automate chaos: fix the process first
20:35 Voice DNA, redlining, and how to avoid AI slop
22:34 Creating content for non-followers, not followers
26:57 Her live trend-scouting agent stack with human review
30:35 The $2,000 lesson in AI cost control
37:01 How Dave runs multi-agent memory across Claude, Obsidian and Notion
40:49 What happens to a job description when AI takes the task
If you are sitting on a business that owns your week, this is the one to listen to. Subscribe, drop a comment with the first task you would hand off, and send this to one founder who needs it.
🔗 Links & Resources
Guest website: https://www.fastestgrowingtrends.com/
Noemi on LinkedIn: https://www.linkedin.com/in/noemikis/
Noemi on Instagram: https://www.instagram.com/kis_noemi/
Dave on LinkedIn: https://www.linkedin.com/in/davegoyal/
#AIAutomation #FounderMode #LeanBusiness #AIAgents #Entrepreneurship

Skills Are Teachable. Identity Isn't. | Ep. 18 with Abhijit Bhaduri (Abhijit Bhaduri LLC) Aug 18, 2026

Show notes

🎙️ Skills Are Teachable. Identity Isn't. | Abhijit Bhaduri (Abhijit Bhaduri LLC)

The AI conversation is stuck on skills: learn AI or get replaced. Abhijit Bhaduri says that misses the real threat entirely. AI can learn any skill you bring to the table. What it cannot replicate is what you feel when you do the work, and that is where the identity gap opens up.

Abhijit is CEO of Abhijit Bhaduri LLC and has led talent strategy inside some of the largest companies in the world: Wipro's first Chief Learning Officer, Global Head of Learning & Development at Microsoft, and HR leadership at PepsiCo, Colgate-Palmolive and Tata Steel. He is a LinkedIn Top Voice with over a million followers, SHRM's #1 HR influencer on social media, author of six books including Career 3.0, and his seventh, AIdentity, is coming later this year. In this conversation he and Dave land on the same conclusion from opposite ends of the room: the companies winning with AI are not the ones with the best models. They are the ones solving the people problem underneath.

In this episode:

00:00 Meet Abhijit: from CLO to a million followers

02:03 The guitarist who plays every genre

04:37 The biggest myth in every company: money motivates

06:59 Dave: judge people by their opportunities, not their limitations

09:36 What the identity gap actually is

11:45 Why AI makes everything average (the Picasso test)

14:11 You bought the piano but skipped the lessons

16:45 The man training AI at the cost of his kid's job

20:12 Keystroke logging kills innovation

25:56 Why sharing knowledge is now a superpower

31:07 The new book: AIdentity

34:43 Introduce yourself without your title or employer

36:50 The 80/20 future: work like water, not ice

41:05 Tokens as currency and identity as the new talent layer

44:44 The one failure Abhijit still carries

If this conversation changed how you think about AI, your team or your own work identity, subscribe to the Think AI Podcast, drop a like, and tell us in the comments: how would you introduce yourself without your title?

🔗 Links & Resources
Abhijit Bhaduri on LinkedIn: https://www.linkedin.com/in/abhijitbhaduri/
Abhijit's website and newsletter: https://abhijitbhaduri.com

#ThinkAIPodcast #AIdentity #IdentityGap #FutureOfWork #AIAdoption

Healthcare AI: The Hype Ends Here | Ep. 17 with James Green (Cognome) Aug 11, 2026

Show notes

🎙️ Healthcare AI: The Hype Ends Here
Most hospitals cannot answer one basic question: what AI is running on our network right now? James Green went from Pixar under Steve Jobs, to running the World Series of Video Games, to building the tech behind the NFL first down line, to CEO of Cognome, a healthcare AI company deployed in 20 hospitals including Montefiore and NYU Langone. In this episode, we strip the hype out of healthcare AI and talk about what actually works, what is genuinely dangerous, and the unintended consequence nobody is discussing: a billing system where nurses are expenses and AI is profit.
In this episode:
00:00 From Pixar and esports to healthcare AI
01:46 Why healthcare is adopting AI 2.2x faster than other industries
12:15 AI Sniffer: finding every hidden AI on a hospital network
18:08 Ambient dictation and the wrong leg problem
21:55 The judge and jury system that kills hallucinations
26:17 Why missing context is the second most dangerous thing in clinical AI
29:36 Silent mode: the right way to deploy AI with physicians
34:44 AI already beats doctors 99.9% of the time, with one catch
39:42 Nurses billed like bed linen: the consequence nobody sees coming
43:34 LLMs are now healthcare's fastest growing cyber threat
46:52 The next 3 to 5 years: thousands of AI agents per hospital
49:32 What Steve Jobs was really like: seven reasons in 2.5 seconds
If this conversation made you think differently about AI in your industry, subscribe to the Think AI Podcast, drop a comment with your take on the nurse billing question, and share this with someone in healthcare who needs to hear it.
🔗 Links & Resources
Cognome: https://www.cognome.com
James Green on LinkedIn: https://www.linkedin.com/in/jamesangreen/
#ThinkAIPodcast #DaveGoyal #HealthcareAI #AIGovernance #ArtificialIntelligence

Speed Is No Longer a Moat | Ep. 16 with Alex Galert (BRNZ/DUDE.AI) Aug 04, 2026

Show notes

🎙️ Speed Is No Longer a Moat | Alex Galert, BRNZ

Everyone in AI is racing to ship faster. Alex Galert, CEO of BRNZ, says that race is already over, and speed was never the real advantage. In this conversation he breaks down why accountability, not velocity, is the new moat, and how his studio builds complete AI-powered companies for equity, with a 67% founder floor in writing and zero investors.

In this episode:

00:00 The thesis: why speed stopped being a moat

01:31 The Hero Founder and 10,000 hours in one industry

08:55 Business for equity: how BRNZ actually works

14:14 The anti-VC model: no fees, equity only by shipping

18:54 Inside DUDE.AI and the five levels of AI autonomy

26:08 The dirty secret of AI-generated code, and a real data hole

31:48 The failure that changed how Alex builds

45:31 Can a company run with no humans?

55:02 Five moves you can make Monday morning

If you build with AI, this one will change how you think about shipping. Like, subscribe, and drop a comment with the one move you are taking into Monday.

🔗 Links & Resources Website: [brnz.com] | [DUDE.AI]

Guest LinkedIn: [Alex Galert] (comment BUILD on the pinned post for the BRNZ Playbook)
WhatsApp: message DIAGNOSIS to [wa.me/491711254074] for a Startup Loop Diagnosis ▶️

#ThinkAIPodcast #DaveGoyal #AI #AgenticAI #Startups

There Is No Magic Wand: What AI Can (And Cannot) Actually Do | Ep. 15 with Dilip Bagrecha (Wishtree) Jul 28, 2026

Show notes

🎙️ There Is No Magic Wand: What AI Can (And Cannot) Actually Do
Dilip Bagrecha built mission-critical financial systems at RBS and UBS where failure wasn't an option. Now, as founder and CEO of Wishtree Technologies, he's watching enterprises treat AI like it can solve everything—and it's not working. In this episode, we unpack why only 5% of enterprises have truly adopted AI, the reliability discipline that separates real engineering from hype, and the uncomfortable truth most AI consultants won't say out loud: there is no magic wand.
In this episode:
(00:00) The reliability standard that built global banking systems—and why AI ignores it
(02:30) Why 99.9% uptime is a death sentence for enterprise deployment
(06:15) The shift from "AI tools" to "AI teams"—what actually changes for leaders
(14:00) How to spot which AI use cases will actually work (and which are technical debt waiting to happen)
(20:45) The fixed-pricing trap: why outcome-based contracts don't work yet
(28:15) The CFO mindset killing AI ROI: cost obsession vs. value obsession
(36:00) Advice for the nervous mid-market CEO: think transformation, not tools
(42:45) Why honesty is rare in AI consulting—and why Dilip refuses to play along
If you're leading enterprise AI initiatives, skeptical of the hype, or about to invest in AI and want straight talk instead of magic-wand promises, this conversation cuts through the noise.
Subscribe to Think AI Podcast wherever you listen and send this to a leader in your life who's buying AI or building their first autonomous system. You'll get answers differently.
Links and Resources:
Dilip Bagrecha on LinkedIn: https://www.linkedin.com/in/dilipbagrecha/
Wishtree Technologies: https://wishtreetech.com/
Think AI: https://thinkaicorp.com/
#EnterpriseAI #AIAdoption #FinTech #AIConsulting #ProductEngineering #AINative

The Myth of Too Small to Hack | Ep. 14 with Tom Kirkham (Kirkham IronTech) Jul 21, 2026

Show notes

🎙️ The Myth of Too Small to Hack

Tom Kirkham, founder and CEO of Kirkham IronTech and two-time Amazon bestselling author of Hack the Rich, sits down with Dave to break down how AI has turned phishing and ransomware into a high-volume numbers game, and why he says over 90% of breaches still come down to one thing: human failure.

In this episode:

00:00 Tom's ISIS kill list story and why "why would a hacker want me" is the wrong question

03:37 How AI personalizes phishing emails at scale

08:41 The Colonial Pipeline attack and why small businesses are the real targets

12:43 Why 90%+ of breaches are human failure, not a tech failure

17:51 The three things every business needs: awareness training, EDR, and MFA

27:01 Why your CFO should never run IT

36:35 Shadow AI and why privacy is security

49:02 Is a global cyber pandemic already here?

59:49 Hacking's GDP is bigger than most countries

If you run a business of any size, this episode will change how you think about risk. Like, subscribe, and drop a comment on the one thing you're going to fix this week.

🔗 Links & Resources

Books by Tom Kirkham: Purchase on Amazon

Kirkham IronTech: kirkhamirontech.com

Follow Tom Kirkham on LinkedIn: https://www.linkedin.com/in/tomkirkham/

#CyberSecurity #AI #Ransomware #ThinkAIPodcast #Leadership

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