There is a real problem with keeping up in AI right now.
The pace is fast. Something meaningful happens almost every week. If you are using AI seriously, falling behind by even a month means you are missing context that actually matters for your work.
Most people respond by reading more. More newsletters. More articles are bookmarked to read later, which slowly pile up into a reading queue that never gets shorter.
I did that for a while. It did not work. I was always behind, and every piece of new information just reminded me of five other things I had not gotten to yet.
I do something different now.
The Three-Step Workflow
When I want to stay on top of AI news and updates, I do this:
- Download whatever I want to absorb: AI newsletters, article roundups, product update notes, PDFs, whatever has accumulated
- Drop everything into NotebookLM
- Generate a podcast from the source material, then listen during my workout
That is the whole thing.
By the time I am done at the gym, I have covered everything I needed to. Not skimmed. Actually absorbed. And I have not spent a single extra minute sitting at my desk to do it.
Why NotebookLM Works for This
NotebookLM podcast generation is genuinely good, and I think it is underused for this specific purpose.
You give it source material and it generates a conversational audio discussion based on that content. Not text-to-speech reading. An actual back-and-forth between two voices that discusses, explains, and contextualizes what is in the material.
The quality surprised me when I first tried it. It handles nuance reasonably well. It connects ideas across your different sources. And because it is conversational, it is much easier to follow when you are doing something physical than a dense written summary would be.
I have found it more useful than most actual podcasts on AI topics, because it pulls from exactly what I want to know about, not whatever a host decided was interesting that week.
The Real Shift: Learning Without Separate Time
The deeper reason this workflow matters is not the tool. It is the mindset behind it.
Most people treat learning as a separate activity. Something that requires sitting down, opening a browser, carving out focused time. And that framing is fine for some things.
But staying current is different. That is mostly about exposure and absorption, not deep analysis. And you can do exposure and absorption during time that is already allocated to something else.
I work out anyway. The workout was going to happen. Adding the AI news podcast to it costs me nothing.
This is the One Tweak a Week principle applied to how you consume information. You are not adding a new habit. You are layering something useful onto a habit that already exists. The friction is almost zero because the anchor activity is already happening.
What to Put In It
For source material, I typically use AI newsletter roundups, update notes from tools I use regularly, transcripts from AI talks I have not had time to watch, and occasional long-form articles I want to understand but have not read.
A handful of good sources generates enough material for a 20 to 30 minute podcast. That is about one gym session.
You can also get specific. If you are trying to understand one particular topic, feed it targeted material and generate a focused episode on that.
Setting It Up
NotebookLM is free via Google. Create a notebook, upload your sources, and use the Audio Overview feature to generate the podcast. Takes maybe ten minutes to set up the first time.
From there, the process repeats. When new updates come in, drop them in, generate, listen.
One setup. Ongoing payoff.
The AI space is not slowing down. But saying you do not have time to keep up is increasingly a choice, not a constraint.
Looking for a structured approach to building AI into your workflow one step at a time? The 4-Day AI Sprint is built exactly for that.
