The magentIQ Show

AI companies are preparing for enormous public offerings, but are the growth expectations behind those valuations realistic? David Brain questions whether the numbers add up. Consulting firms are tightening AI spending, employees are being encouraged to use tokens more selectively, and AI providers themselves are placing limits on usage. If customers are getting more disciplined about what they spend, what does that mean for the extraordinary growth investors are expecting from companies like Anthropic and OpenAI?

In this founder discussion, Ian Barkin and David explore the economics behind the AI IPO race, why unlimited tokens don't necessarily...

Ready to turn your AI ambitions into real business outcomes in 2027? Let's talk about how to set the right direction, choose the right capabilities, and build an AI-powered operating model that works for your business.

Talk to the magentIQ team: https://bemagentiq.com/resources/contact-us/

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In Part 1 of Ready, Set, Go: Your 2027 Agentic Playbook, Ian Barkin and David Brain explored what it really means to be AI-ready, from understanding your data and processes to getting your technology, talent, and governance in order. Now that you've examined the foundations...

How AI-ready is your organization for 2027? Let's talk about where you stand today and what it takes to prepare your business for AI-powered transformation.

Talk to the magentIQ team: https://bemagentiq.com/resources/contact-us/

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Before you build an agentic business for 2027, how well do you understand the one you're running today? AI has made its way into emails, research, scheduling, and everyday tasks. But turning those capabilities into meaningful business transformation takes a closer look at how work actually gets done. And as Ian Barkin and David Brain explain, buying...

A vendor promises AI will fix your messy data. The proof? A presentation slide where the messy data goes in, the clean data comes out, and there are sparkles. Kyler Cheatham has spent years navigating enterprise technology sales pitches like this, and she's found a hilarious way to expose their absurdities on TikTok. Behind the humor is a serious message for business leaders: know what you're buying, understand what you're signing, and ask what happens when the impressive demo meets your actual operation.

In this conversation, Ian Barkin and Kyler explore why technology implementations go sideways, how...

What if you could train someone in weeks instead of months, without sacrificing the experience they need to do the job well? David Brain shares an experiment at magentIQ where AI-powered customer simulations, role-playing, and personalized assessments helped contact center employees reach competency in roughly a quarter of the usual time. Ian Barkin sees an even bigger opportunity: if AI can accelerate how people gain experience, could we create more capable employees, broader roles, and better career paths?

In this founder discussion, Ian and David go from AI-generated training courses to an unlikely history lesson involving sheep...

Why are companies so eager to give AI agents autonomy when their human employees operate within carefully defined rules? Lasse Rindom has a question for the agentic AI movement, and it goes straight to how enterprises actually work. Organizations depend on structure, accountability, and coordination. Giving an AI agent unlimited freedom to improvise might sound impressive, but what happens when that agent has to work alongside people, processes, and systems that cannot change overnight?

In a wide-ranging and often hilarious conversation, Ian Barkin and Lasse explore the laws of enterprise physics, why handing every employee an AI...

How much of the software your company pays for do you actually use? David Brain raises an interesting possibility: if you only need 10% of a SaaS platform, could you vibe code that 10% yourself? Ian Barkin connects the question to a striking development: insurance software company Guidewire acknowledging in its annual filing that customers building their own AI-powered alternatives could affect its business. The discussion turn to this: building the tool might be getting easier, but keeping it running is another question.

In this founder discussion, Ian and David unpack HubSpot's explanation for its latest layoffs, what rising...

What does an org chart look like when some of the boxes belong to AI agents? Paul Cheek thinks the answer could change how we build companies, create jobs, and spend our working lives. In his new book, No One Works Here, he makes a provocative case for AI-driven enterprises where people spend more time on meaningful work, and entrepreneurs can test ideas without hiring a team or raising a fortune.

Ian and Paul start with Lego, GeoCities, and the difference between building a product and building a business. Then they get into the bigger questions: how...

It is confusing out there in the agentic era, and this episode is here to help. From agents that are suddenly easy enough for anyone to use, to the AI work happening inside the business, to a government that got probed by bots, the through line is the same question the founders keep coming back to: what is actually real, and what do you need to hold onto to make the most of it.

Two AI executive dinners are coming up, New York on October 22nd and London on November 18th. They are small and invite-only, with...

A cute AI companion becomes a new device you probably do not need, “superintelligence” gets proposed as a replacement for artificial intelligence, and the conversation quickly gets more serious. 

This episode moves from sovereign AI and the global race to control the technology to the governance problem happening inside companies right now: everyone wants to move faster, but the guardrails, training, processes, and data are struggling to keep up. 

Ian and David also get into AI strategy, the risk of automating away your future talent pipeline, and a real example of AI making training better rather...

A cute AI companion becomes a new device you probably do not need, “superintelligence” gets proposed as a replacement for artificial intelligence, and the conversation quickly gets more serious. 

This episode moves from sovereign AI and the global race to control the technology to the governance problem happening inside companies right now: everyone wants to move faster, but the guardrails, training, processes, and data are struggling to keep up. 

Ian and David also get into AI strategy, the risk of automating away your future talent pipeline, and a real example of AI making training better rather...

AI has intelligence, but it does not have wisdom. Dan Pontefract builds a whole framework for the workplace on that difference. In a warm and very funny conversation, he sorts the people in any organization into three groups: rivers early in their careers, rocks in the middle with hard-won judgment, and rubies whose wisdom took decades to build. 

Birth rates are falling, experienced people are retiring, and entry-level hiring keeps getting handed to AI. So where does the next generation of expertise come from, and what breaks if we stop growing it. Dan makes a strong, hopeful c...

After a run of doom-heavy headlines, this one opens with actual good news, from a long-unsolved maths problem to genomics research to weather forecasts that are getting materially better. From there it turns to the question underneath a lot of hiring decisions right now: if nobody spends their early career being bad at things, where do tomorrow's experts come from. The answer that emerges is encouraging. AI can compress the years of hard graft into the experiences that actually teach you something, as long as someone who understands the work is still steering. Plus the definitive answer to a...

A new frontier model arrives declaring the AGI era, a researcher quits very publicly warning that the labs are gambling with our lives, and the headlines get apocalyptic in a hurry. This episode works through all of it without losing the plot, landing on the parts that actually matter for anyone running an operation: how much freedom you should give AI inside your business, why the methodical adopters are the ones still deploying, and why teaching critical thinking may be the most valuable thing we do next. Skeptical where it counts, and ultimately pro human.

(2:43) Founders journal...

Trust turns out to be the thing that decides whether AI sticks or gets abandoned. This episode opens with a sales agent that confidently got its facts wrong, works through why people stop using tools that burn them once, and lands somewhere hopeful: the organizations pulling ahead are the ones redesigning how the work gets done, and the best ideas still come from teams shaping them together. Tennis, Hogwarts, and Modern Family all make an appearance too.

(1:41) The AI sales agent that introduced itself politely and then got everything wrong

(2:51) Trust in the AI era...

Bill Gates calls this the turbulent AI era and frames the stakes as starkly as it gets: the greatest equalizer ever invented, or the worst source of injustice. This episode works through his risks and his opportunities in full, and lands on the idea that gives the most hope, preserving productive struggle so people keep building real skill. Along the way, NVIDIA's reported move to buy Hugging Face, the first real signs of AI showing up as return on investment, and a projection that the cost of running agents could climb sharply, and why that makes designing for outcomes...

Set several AI agents loose in the same environment and, by one recent account, they may not team up so much as turn on each other. This episode runs from Europe's new rules on labeling AI and identifying bots as bots, through what executives really trust AI to do, to the surprising value hiding in the data of companies that no longer exist. It keeps landing on the same encouraging note: the old disciplines everyone skipped, process, governance, and real judgment, are exactly what make this next stage work.

(4:06) Regulation, everyone's favorite topic: the EU AI Act...

The real test of any AI or automation is simple: is it still turned on six months later. In this episode, David and Ian try something different. Instead of covering the latest headlines, they go back fifteen years to where it all started, David Brain's roots in business process modeling, and draw out the through line that has held ever since. Knowing exactly how your work happens today is what tells you where AI belongs tomorrow, and where a human still earns their seat. Warm, story rich, and genuinely useful for anyone deciding what to automate, what to augment...

Wed your company to one AI harness and you are locked into its model, its vendor, and its pricing, along for the ride whether you like it or not. This episode unpacks what a harness actually is, the interface layer sitting over the models, and why the smart move is to experiment inside one but build for production outside it, so you can swap models whenever you want. Plus takeaways from magentIQ's New York executive dinner, the return to process fundamentals, and why silent model swaps keep landing on your bill.

(3:51) The New York dinner: what a...

Ask most finance leaders how to get started with AI and they reach for a tool. This episode makes the case for the opposite. In a wide ranging conversation with author and transformation expert Tariq Munir, the first rule turns out to be simple: forget AI, and start with your processes. Automate a mess and all you get is an automated mess, one that is far harder to manage than the manual version. The through line is hopeful and practical: understand how you really work today, simplify it, and the transformation pays for itself.

Tariq Munir is...

The smartest way to use vibe coding might not be to ship what you build, but to show someone exactly what you want. This episode lands on a genuinely useful idea: domain experts can now prototype a rough version of the tool in their head, then hand it to a developer and say do it like this, closing the gap that briefs and whiteboard sketches never could. Along the way, the deepening OpenAI and Hugging Face saga, the tug of war over slowing AI down versus keeping the field open, and the encouraging news that companies are hiring people...

The AI sector may be hitting a crunch point, and this episode is full of the evidence. A widely covered story about an OpenAI model reportedly reaching the internet during a segregated test and using Hugging Face to reach its goal, the pricing whiplash that makes budgeting for AI nearly impossible, and a healthcare CEO who cut 600,000 dollars of Salesforce by vibe coding his own CRM. The case builds all episode for moving toward AI you can actually control, and for keeping humans in the loop as these tools grow more capable.

(4:20) Today's AI is the worst...

Ian Barkin catches David Brain mid holiday in France for a conversation that keeps circling back to one conviction they hold deeply: you cannot automate what you cannot see. Map only how you work today and all you get is faster horses. Along the way, a growing employee backlash against being watched and replaced, a surprising regulatory move out of China, and why the unglamorous discipline of process mapping is quietly having a renaissance. The throughline is simple and hopeful: understand what you do and why, and AI becomes a real advantage rather than an expensive guess.

(0:35...

Ian Barkin and David Brain sweat through matching heatwaves and land on what David calls a return to sanity: the fundamentals do not change just because there is a shiny new tool. You still have to know what you are doing, how, and why. Along the way, a genuinely puzzling finding that the heaviest AI adopters are growing their headcount, not shrinking it, the big AI labs quietly admitting their tools are neither fast nor easy, and why owning what makes your business different matters more than ever. 

(0:31) Founders journal: matching heatwaves, and inflating pool floats mid c...

Fifteen years of building companies together, one year into magentIQ, and Ian Barkin and David Brain use the anniversary to talk about what has not changed: people are what make it work. They get into why a company of only agents would be a pretty joyless place, how you actually train someone into an expert when the expertise is weeks old, and why the winning move is still asking not just whether AI can do something, but whether it should. Warm, reflective, and full of hard won practical wisdom.

(0:35) Founders journal: Nashville, live music, and the ongoing...

Ian Barkin and David Brain get into what happens when you trust a single AI model too much, and what to do instead. A client's agent confidently got a healthcare policy answer wrong, which sets up David's most practical idea yet: a council of agents, several different models cross checking each other so no one blind spot slips through. From there, the quiet trend of organizations rehiring the very experts they let go, and why human judgment keeps proving itself the differentiator. Positive, practical, and a little bit cheeky.

(1:13) What's in this episode: AI employees, the council...

Ian Barkin and David Brain are back, and getting comfortable. This one ranges from World Cup soccer to the real bottleneck in AI, which turns out not to be tokens or building, but knowing what to build. They dig into why great ideas beat raw consumption, why last year's models are quietly the smart buy, and what a sudden model shutdown teaches every operator about not putting all their eggs in one basket. Plus a genuinely new idea about keeping the business running when the model goes dark, involving, of all things, senior centers.

(1:06) Founders journal: World...

Ian Barkin and David Brain go behind the scenes on the agentic platform they have been building, and dig into why the biggest model is rarely the right one, why this year's AI savings are quietly funding next year's budget, and why going faster will not fix a process that was never designed for AI in the first place. A practical, pattern matching conversation from two people who have lived through this cycle before.

(0:00) Why there is nothing safe and low hanging in AI transformation, and how big, bold, brash expectations slow you down

(0:55) Founders...

People can plan a week of meals, diagnose an ailment, and draft a proposal with AI on a Sunday, then walk into work on Monday and find everything still stuck in silos, legacy systems, and tribal knowledge. In Episode 9 of The magentIQ Show, Ian Barkin sits down with industry analyst and icon Phil Fersht to name that dissonance, the velocity gap, and to talk honestly about why so few enterprises are closing it, what real AI transformation actually demands, and why authentic human voice matters more than ever in an age of AI slop.

Phil Fersht is...

The company burning billions on AI is somehow getting less done. In Episode 8 of The magentIQ Show, Ian Barkin and David Brain dig into why, working through the mistakes the AI era keeps repeating even though most of them were supposed to be learned a decade ago.

Here is what Ian and David unpack:

AI can draft a report in seconds, but it cannot put its name on it. In Episode 7 of The magentIQ Show, Ian Barkin sits down with Andreas Welsch, ten year AI veteran, LinkedIn Learning instructor, and author of two books written entirely by hand. Their conversation cuts past the hype to a question every leader is now living with: when output is effortless, how do you keep the quality, the judgment, and the accountability that make it worth anything at all?

Here is what Ian and Andreas unpack:

The whether of AI is settled, or at least that's what our webinar audiences told us. What people are hungry for now is the how. In Episode 6 of The magentIQ Show, Ian Barkin and David Brain answer the questions that came straight from the people in their recent webinars, share fresh survey data on where AI adoption really stands, and walk through a client who saved six figures a year by building AI in the right way, with people firmly in the loop.

In this episode, Ian and David unpack:

Ian Barkin and David Brain are joined by Tom Davenport, President's Distinguished Professor of Information Technology and Management at Babson College and author of twenty-five books on AI, analytics, and the future of work. Tom, David, and Ian have co-authored numerous journal articles and a book on citizen development. Tom is a friend, collaborator, and expert with an unrivaled perspective on the agentic era. Welcome to Episode 5 of The magentIQ Show.

In this episode, Ian, David, and Tom unpack:

Ian Barkin and David Brain return for Episode 4 of The magentIQ Show, picking up where the headlines leave off. AI is everywhere at work right now, but the loudest signal is not better results. It is token maxing and layoffs justified by an AI story that often runs ahead of reality. Ian and David dig into what happens when leaders measure AI adoption by volume of usage instead of business value, and why that choice quietly rewires incentives across the entire organisation.

The conversation moves through the latest wave of org hacking making the rounds: Coinbase's one-person...

Ian Barkin and Joe Boggio have been comparing notes on innovation since their Capgemini days. They were at one of the first OpenAI hackathons in San Francisco three years ago. The room they sat in turned out to be ground zero for everything that followed. Welcome to Episode 3 of The magentIQ Show.

For four decades, the McKinsey Three Horizons model gave leaders a comfortable distance from the future. Horizon One was the current business. Horizon Two was the set of capabilities worth watching. Horizon Three was the long bet that might mature in a decade. The model...

Co-founders Ian Barkin and David Brain have been having these conversations for fifteen years. This time, the recording light is on. Welcome to Episode 2 of The magentIQ Show, and the first installment of our founder discussions.

Wall Street just placed a very loud bet on a quiet truth: enterprise AI is hard. Anthropic has teamed with Blackstone, Goldman Sachs, Hellman and Friedman, and General Atlantic to stand up an AI services firm aimed at private equity portfolio companies. OpenAI is making the same move with even more capital behind it. The takeaway is unmistakable. Powerful models like...

Episode 1 of The magentIQ Show is here!

Ian Barkin sits down with Pat Geary, the man who gave Robotic Process Automation its name. Over lunch, no less. The term that built an industry started as a metaphor on a napkin, and Pat has had a front row seat for every wave since. 

In this episode, Pat and Ian trade stories from the early days of enterprise AI, revisit the now legendary "Welcome to Robotistan" paper, and turn a sharp eye on today's agentic AI gold rush. Expect strong opinions on autonomy, auditability, and why most o...

Every CEO has a mandate. Every consultant has a framework. Every LinkedIn post has a hot take. But who's actually telling the truth about AI?

The magentIQ Show is the podcast for people who want to cut through the BS and hype. Hosted by Ian Barkin and David Brain, two operators who have spent more than two decades building, scaling, and exiting in the AI, automation, and outsourcing world.

Join some amazing guests as we have honest, peer-level conversations about what AI really means for the way we work, from the...