Podcast
Papo de CAIO is the podcast about applied AI for business — CAIO as in Chief AI Officer, the AI leader every company will want. Straight, no-hype conversations about using artificial intelligence in sales, marketing, customer service, operations and automation to drive real results. Practical examples, no futurology. With Caio Steffen, founder of Webiq.
Caio and Marina break down why we all think we're living through the worst moment in history while the data tells a completely different story. A conversation about brain biases, algorithms that profit off your fear, and what it all means for anyone working with AI and attention.
Everybody asks if AI is going to replace programmers, designers, analysts. The latest data points somewhere else. Caio and Marina dig into stats from the World Economic Forum, Microsoft, Anthropic and PwC to show who's actually going to run the game over the next few years: not the people who execute, but the people who coordinate. And what that means for your career starting today.
For 30 years we just bought software off the shelf. Now an employee with Claude Code can build in an afternoon what used to cost months and a yearly license. Caio and Marina dig into why the biggest competitor to the next SaaS isn't another SaaS — and what that changes for your product team, your operations, and your stack of subscriptions.
Why are so many law firms chasing AI right now? Spoiler: it's not to replace lawyers. Caio and Marina break down how AI attacks the operational waste surrounding the lawyer, show who's already winning this billion-dollar race, and tackle head-on the risk nobody can ignore: law doesn't accept 'looks right.'
Paid media is shifting from a fight between advertisers into a fight between AIs. Caio and Marina dig into how Google, Meta and ChatGPT became the middlemen of every buying decision, why the traffic manager tweaking 300 buttons is going obsolete, and why a brand's biggest edge will be looking trustworthy — not just to us, but to the algorithm.
In just a few years, saying you know how to use AI will be as common as saying you know your way around Excel. Caio and Marina dig into what that actually means for your career, for hiring, and for how companies build their teams. With data from the AI Index 2026 and real examples of people already pulling ahead.
The provocative thesis of this episode: AI's biggest damage might not be firing senior people — it's breaking the ladder that always trained the beginners. Caio and Marina dig into how learning changes for people just starting out when AI takes over the tasks that used to be their training ground, and what leaders and HR need to do right now to avoid raising a generation with no foundation.
There are people using AI every single day at work and pretending they're not. Caio and Marina break down the so-called 'AI shame': the fear of looking lazy, less competent, or replaceable. With a study showing people will actually make their own performance worse just to avoid seeming dependent on the tool, and what you can actually do about it as a leader.
Everybody's using AI to save time in their day-to-day. But does that time actually turn into results for the business? Caio and Marina break down the paradox of individual productivity that never shows up in the bottom line, with data from Gallup and concrete examples of where that saved time really ends up.
We've all gotten that email that screams AI: pretty, perfectly formatted, and completely empty. Caio and Marina break down workslop, the fake productivity that's costing companies real money, and show how to tell actual work apart from automated filler.
Anthropic pulling in 9 million dollars per employee. Nvidia at 5 million. Microsoft at 1.2. Caio and Marina break down the metric that separates the companies that actually changed how they operate from the ones that just slapped AI on a slide — and why the team of the future might be hiding in your token bill.
The biggest shift from AI might not be writing code or generating images. It's one person suddenly having the operational firepower of a full team. Caio and Marina dig into how creators are becoming entire organizations, where the real gains are, and where the illusion of scale hides.
Most companies don't want AI to innovate. They want AI to produce more without growing the team at the same rate. Caio and Marina break down the McKinsey numbers, show where this is actually already happening, and what it means for people who work and people who run companies. No hype, just real examples.
Companies want real work data to train AI agents. Employees want productivity, but they don't want to become raw material. Caio and Marina break down the Meta case, the tension between surveillance and consent, and how to do this without torching your team's trust.
Caio and Marina take apart the idea that buying an AI tool fixes a disorganized company. The truth? AI on top of chaos just makes the chaos happen faster. Why a bad process plus AI becomes a bad problem at scale, what McKinsey found about redesigning workflows, and what to do before you sign one more AI license.
Caio and Marina face an uncomfortable truth nobody who uses AI every day likes to admit: you can get more productive and less capable at the same time. Research from Microsoft, MIT and Anthropic, real examples from code, reports and manager decisions, plus a practical test to find out which group you're falling into.
Caio takes us behind the scenes of building an internal CRM from scratch in two weeks, how much the company saved by dropping an expensive platform, and how he'd do it even faster today with AI. Marina asks the questions every founder would want answered before making that call.
AI already writes better code than a lot of people. So what's left for us? Caio and Marina break down vibe coding, this wave of building software by just talking to AI, and show why creativity became the new superpower while security became the new baseline. With real examples of bugs nobody notices and a checklist of what to review before you put anything live.
Caio shows you hands-on how to start coding with Claude Code, even if you're not an experienced dev. Marina, the AI co-host, asks the questions every beginner would have and helps map out the shortcut from zero to your first project up and running.
Caio and Marina dig into how leadership is changing: managers now coordinate people and AI agents at the same time. Drawing on Microsoft's Work Trend Index 2026, they break down what shifts in your daily routine, what stays uniquely yours, and how to get started without becoming a hype zombie.
Caio and Marina break down how to go from 'I use ChatGPT to write emails' to actually building an agent with Claude that handles repetitive tasks on its own. No fluffy theory: the right first project to pick, the mistakes that make everyone quit by week two, and the step-by-step to get an agent running this week.
Most companies bought AI the easy way: a premium license for everyone. Caio and Marina break down why that's become invisible waste on engineering teams, use Claude Code and Goose as opposite examples, and introduce a new discipline taking shape: AI FinOps. The question is no longer which AI is best — it's which AI is good enough for each task.
There's a quiet divide happening inside companies: people who use AI every day, and people still working the old way. Caio and Marina talk about the augmented employee, why this gap already shows up in results, and what to do so you don't fall behind. No hype, just real-world examples.
Google redesigned its search box for the first time in 25 years. Sounds like a cosmetic detail, but it's the tip of a much bigger shift: search has turned into an answer machine, and anyone living off organic traffic needs to rethink their strategy now. Caio and Marina break down what changed, why it matters, and what to actually do about it.
Drawing from Harari's book Nexus, Caio and Marina dig into a quiet shift: for the first time, we've built a network that doesn't just distribute information — it interprets it and decides for us. With no fearmongering and no naive optimism, the conversation flips the classic AI question on its head and shows what it actually means for anyone running a business.
Choose your field and the site will show AI examples made for your reality — pain points, use cases and the most suitable track.