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.
In this episode
01 The Hook: The New Excel
- Marina kicks things off with a jab: she saw a job posting asking for 'experience with AI' and started wondering if she's falling behind
- Caio lays out the core thesis: in a few years, 'I know how to use AI' will be as basic as 'I know Excel' — it stops being an edge and becomes a requirement
- Caio recalls how it went with Excel, the internet, the Office suite — the cycle of a skill going from rare to obvious
- Make the episode's angle clear: this isn't futurism, it's what's already happening in the job market right now
02 The Data Behind the Conversation
- Caio brings the number from AI Index 2026, Lightcast and Stanford: AI skills show up in 2.5% of US job postings
- The growth that matters: up 55% in a year and 297% over a decade — proof this is acceleration, not a passing fad
- Mentions of 'Agentic AI' grew over 280% in a year, a signal of where demand is headed
- Marina pushes back: 2.5% still sounds like a little, right? Caio counters by explaining what it means to be on the rise and not at the peak
03 What 'Knowing How to Use AI' Really Means
- Marina asks the question everyone's thinking: is knowing AI just about writing a pretty prompt? Caio takes that apart
- Caio breaks down the levels: using the tool day to day, knowing where to apply it in a process, and being able to build an agent that runs a task
- A concrete example: the analyst who closes out a report in 20 minutes with AI versus the one who spends the whole afternoon
- The turning point: what counts isn't the tool you use, it's the business problem you solve faster with it
04 The Real Risk of Falling Behind
- Caio is blunt: nobody gets fired because of AI — they get replaced by someone who uses AI and delivers more
- Marina raises the legitimate fear: what about people who are 40 or 50 and have never touched this? Caio answers without sugarcoating it
- The key point: the barrier today isn't technical, it's just getting started — the entry curve has dropped way down
- Example of a company that started asking in interviews 'how do you use AI in your work' as a filter
05 How to Build That Resume in Practice
- Caio gives step one: pick one boring, repetitive task from your week and solve it with AI
- Step two: document the gain as a number — time saved or volume delivered — that's what goes on your resume
- Step three: level up, go from being a user to the person who designs the process or builds a simple agent
- Marina asks where a leader should start with the whole team; Caio talks about building a culture of use before buying an expensive tool
06 Practical Wrap-Up
- Caio sums up the thesis: today AI on your resume is an edge, soon it becomes a silent requirement, and those who wait pay more later
- The message for leaders: it's not enough for the employee to learn, the company has to make room for them to actually use it
- A simple call to action: pick one task this week and do it with AI, measure the result, repeat
- Caio closes without the hype: it's not about becoming an expert, it's about not being the last one in line