The Brutal Truth About AI And Your Time

Building Out was set up to help doctors understand the path to time and financial freedom. Two of the most powerful ways to do this are using leverage and building assets through finance and AI.

Right now, it’s the article I read about AI in medicine that makes the same promise. Use this tool that we are selling you, reclaim your time and get your evenings back. This narrative has become so standard recently that no one seems to question it. However, I do want to question it. Because, for a salaried doctor, saving time in their job does have some benefits, but significantly less than if you use AI correctly

That initially does sound wrong, so let me be clearer. Efficiency is obviously useful day-to-day, and I use it for multiple things. It does help me free up time at work. However, efficiency on its own will not help you change your position, your income, or your options. And it will certainly not help you build a life of time and financial freedom.

My own journey began with using some of these tools to become ruthlessly efficient. But it became clear to me that the best thing you can do with some of these AI tools is to build assets that replace your income. Combining that with real efficiency is when the needle starts to move.

The reabsorption problem

Here’s the brutal truth. The time you save in a salary role doesn’t belong to you.

You can finish your discharge letters at 45, and it’s early in the department. Does not send you home 45 minutes early.  The rotor doesn’t get smaller as you get more efficient.  Instead, the space fills with more work — another patient, another referral, another job that was going to land with somebody else. Your capacity goes up, but your compensation often doesn’t. Hospitals know this.  Electronic records were sold on the promise of less paperwork, and digital dictation was going to free up clinic time.

In reality, both raised output expectations while the workday stayed the same. I call this the reabsorption problem.  In any system with unlimited demand, the system absorbs time saved rather than returning it to the person who saved it. This isn’t cynicism about the NHS; it’s just what happens when demand permanently exceeds supply. It means that the standard AI pitch of being more efficient and doing the same job faster means it delivers benefits to your employer, not to you.

Income is a flow. Capital is a stock.

Here’s an idea from my old life as a financial advisor that transfers perfectly

Income is flow. It arrives, it gets spent, and stops the moment that you stop. Capital is a stock. It sits there, compounds, and keeps working whether you turn up or not. Most people grasp this idea when the subject is money. A high income with no accumulated stock is just a fast-moving river. I’ll apply that same idea to your work output. A saved hour is flow. It arrives once, gets absorbed, and leaves with nothing behind. An asset is stock: you build it once, and it keeps producing.

The useful question about any AI tool at work is not “How much time did this save me?” It’s “What did it leave behind?”, compounding and building without me being there

What actually counts as an asset

An asset is anything that keeps working after you stop touching it.

For a doctor, the list of what I consider an asset is longer than most people assume:

• A teaching resource that you build once and now use every rotation
• A written framework colleagues keep asking you to send to them
• A course, a revision guide or an e-book on a topic that you know well
• A documented system that runs without you having to explain it, I’m doing this one at the minute. It’s like magic.
• An audience that reads what you publish
• A template pack, a checklist, or a piece of software (software is so much easier to produce these days using AI tools that were never possible before without understanding coding)

It’s what I call the sleep test.  Does whatever you have produced produce value while you sleep?  It’s brutally clarifying.  A well-organised, efficient clinic list or theatre list fails the test because, as soon as you stop doing what you do, it falls apart.  A mediocre guide that 300 people download, get value from, and can pay you for. Passes the sleep test comfortably

Same tool, same year, completely different outcomes

So, how does this work in practice?

Picture two registrars both using AI daily,  both for 12 months down the line. The first uses it for admin and becomes ruthlessly efficient. Discharge summaries. Referrals. Meeting notes. Tidying up audit write-ups— they say 45 minutes a day, which adds up to 160 hours over the year. This looks impressive on paper. But at the end of the year, their income is the same, their options are identical, and they own nothing that they didn’t own before.

The second uses AI very differently. They already teach the same three topics to every new cohort, so they spend an hour a week turning that into a structured resource that others outside their workplace can use. They build these resources, and progress feels slower  [That’s because often progress is slower], but by the end of the year, they hold something real: a resource, a small audience, and proof that they can do work outside of their current rota.

Same tool, same speciality, same 12 months. One became a faster employee, and the other started building an exit toward a life of time and financial freedom. But when you look at these two registrars, something feels uncomfortable. The first doctor probably worked harder. They used AI tools and, by any conventional measure, became significantly more productive; however, productivity doesn’t compound.

The bottleneck moved, and it moved in your favour.

The bottom line is that this opportunity is new, and it genuinely wasn’t available five years ago. Building an asset used to require skills most doctors don’t have and, more importantly, don’t have time to acquire.  Writing at volume. Editing. Design. Basic code.  For most doctors, 5 years ago, the idea was never what held them back; it was the time required to execute it. Most doctors have something genuinely valuable to teach but no realistic way to package it, so it often stayed in their head or was only valuable to two groups of people when they gave their lecture twice.

AI has significantly reduced execution costs.  First drafts of anything are free, and formatting, structure, editing, and layout are very close behind.  The bottleneck has therefore moved upstream to judgement.  Knowing what is worth saying, what is clinically sound, what the reader or student needs, and what has been dangerously oversimplified online, all comes down to judgement.  That is where your years of experience come in.

I call it the judgement premium. Senior clinicians often have it in excess, and a large language model doesn’t always have it. For the first time, the scarce input that is required to produce quality assets is something you already own, and the expensive input of having time, energy, and money to learn and develop the skills you can now rent for pennies.

You already built the asset. You didn’t keep it.

Here’s the great thing.  You probably already have the asset.

Think about something that you have explained repeatedly. Your tutorial on the crashing asthmatic, the way you structure a difficult conversation with a family, or how you talk a junior through a tricky ECG.  You’ve done this before, often dozens of times, to an audience of two or three, and every time, as soon as the session ends, the knowledge evaporates. It wasn’t that the thing you produced was less valuable. You just created it over and over again, and then it disappeared when you delivered it.  Many colleagues have PowerPoints, frameworks, or teaching sessions on their work hard drives and only pull them out when they need to deliver a session.

The good news is that it’s the cheapest asset available to you because the hard part is already done.  You’ve already applied your thinking, judgement, and clinical filtering. All that’s missing is capturing this and sharing it with others using AI tools and online resources.

Where to start this week

1. Audit last week honestly. Split your AI use into two columns: time saved and assets built. Most people find the second column empty.
2. Pick one thing you already explain repeatedly. Not a new idea — an old one you have delivered many times and never kept.
3. Capture it once. Record yourself explaining it out loud in a single take, then use AI to structure the transcript into something usable. Your judgement, its execution.
4. Apply the Sleep Test. If it can’t produce value without you in the room, keep shaping it until it can.
5. Protect the hour deliberately. Reabsorption is the default setting, so block the time, defend it, and treat it as the only hour of your week that compounds.

None of this argues against efficiency. Save the time — don’t mistake saving it for spending it well. Ultimately, the doctors who get their freedom back won’t be the ones who finished their notes fastest. They’ll be the ones who quietly built something while everybody else was optimising.

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This post is for educational purposes only and does not constitute financial advice. Always do your own research and, if needed, ask for advice from a qualified financial adviser regulated by the FCA.