How to Avoid Being Replaced by AI

Many of us are worried AI will take our jobs.

Truth be told, that may happen someday. But I would like to think we may have opportunities for jobs we didn’t ever anticipate. Maybe that’s a bit overly optimistic, but I’ll bank on the future I try to create for myself rather than the one handed to me.

But most people miss the bigger story: the future of work isn’t about replacement—it’s about augmentation. Doing things in the past we couldn’t do due to lack of time, or even other technical capabilities.

Think of the tractor. When it arrived, farmers feared it. In reality, it replaced muscle with horsepower.

Fast-forward: no one’s asking to go back to shovels and sweat. 

We’re at a similar crossroads today. AI won’t make you irrelevant—it’ll make the right worker unstoppable. The divide won’t be between AI and humans but between those who adapt—and those who are replaced by them.

In twenty years, I think how we spend our days will be much different. I hope that when that time comes we’ll be spending more time doing more meaningful things than replying to mindless emails or sitting in meetings that are way too long and way too inefficient.

Until then, let’s focus on what we can do today. There’s a big opportunity for most of us should we take the steps to do it.

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How to Avoid Being Replaced by AI

Learn how to stay relevant, productive, and 10x more valuable with AI tools and strategies.

The 40-hour workweek wasn’t a carefully thought-out all-encompassing work strategy—it was hammered into existence by labor unions and industrialists negotiating over factory floors. In 1926, Henry Ford shocked American industry by trimming the standard workweek from six days to five, declaring that shorter hours made workers more productive—and gave them more time to buy cars. Congress followed suit in 1938, enshrining the 40-hour week into law through the Fair Labor Standards Act.

That was nearly a century ago. And yet, in today’s knowledge economy—where value is measured in ideas, not units of output—most companies still run on a factory-era clock.

But what made sense on the assembly line makes little sense in front of a screen. Time spent is no longer a reliable proxy for value created. A 2024 global survey by Clockify found that workers spend only 2 hours and 34 minutes per day on high-value, focused work, while the rest is consumed by meetings, email, chat, and administrative overhead.

The problem isn’t just inefficiency—it’s fragmentation. The average knowledge worker couldn't go more than 13 minutes without being interrupted or switching tasks, leading to shallow focus and constant context-switching.

Asana’s Anatomy of Work report reveals that workers switch between 10 apps an average of 25 times per day. The cost of that switching is shown in research from UC Irvine, which shows it takes 23 minutes to fully regain focus after an interruption.

Meanwhile, McKinsey & Company estimates that workers spend up to 61% of their time on “work about work”—a mix of communication, coordination, and information retrieval. It’s not a time management issue—it’s a structural problem.

AI makes that more obvious. With the right tools, teams can offload routine tasks—summarizing meetings, generating first drafts, writing code, and analyzing documents—in minutes. According to Microsoft’s 2023 Work Trend Index, employees using generative AI report saving an average of 1.2 hours per day, with the largest gains coming from writing, researching, and summarization.

In short, AI isn’t just going to accelerate productivity—it’s going to allow us as workers to focus on opportunities we lacked the time and ability to pursue before.

Strategic Insight for Knowledge Workers

That rewiring is already underway—but not fast enough.

According to the 2025 Accenture Technology Vision report, 90% of global executives believe foundation models will be central to their strategies within the next three years. Yet only 36% have successfully scaled AI systems, and fewer than 15% report significant business impact.

The gap isn't tools. It’s talent—and trust. Most organizations lack experienced operators to guide this transformation at scale.

And the payoff is real. Deloitte’s 2025 Global Human Capital Trends shows that AI is actively reshaping work—automating routine tasks, reducing entry-level roles, and accelerating decision-making. Companies that adapt gain operational speed and strategic advantage.

The talent signal is clear: the Stanford HAI 2024 AI Index found a 5x increase in AI-related job postings since 2020, with sharp growth in healthcare, finance, and law.

Ways to Become an AI Leader—Not an AI Casualty

So the best way to get replaced by AI (or someone using AI) is to do nothing. Here is a list of opportunities for you to upskill and stay on top. 

1. Learn While Applying Your Expertise
   You don’t need to become an engineer. Instead, use your knowledge to shape AI outputs—review contracts, analyze sales data, and test ad campaigns using real-world context.

2. Rewire Your Workflows
   Start small: automate status reports (create an agent that does this using Obot), meeting notes (my favorite tool for this is Fireflies), and inbox triage (I am using Fyxer and SaneBox to do this). Track improvements. Iterate. Make AI part of your process, not an afterthought.

3. Build a Reusable Prompt Library
   Capture repeatable prompts: "Summarize this call." "Draft a follow-up." "Build a slide outline." Share them internally. Standardize AI leverage (my tool for this is a combination of Notion and PromptForge).

4. Show and Tell
   My friend Timm recently received a company award—not for his prime job around web optimization, but for teaching coworkers how to use AI. He’s now the internal go-to for AI at a billion-dollar firm. Follow his lead, share one workflow or AI tip a week, demo an app at your team meetings, or keep a prompt library and share prompts that can help your coworkers. Small moves compound. Timm didn’t ask for recognition. He earned it.

5. Set Aside Time to Learn

   I know this would normally be hard. Learning a new programming skill or other tools in the past didn’t result in a huge bump in productivity. Take an online class (I am working on something new but take a look at my free 14-day email course if you haven’t already), add a new AI skill, or implement a new app that can improve your productivity and let you recoup your investment. You’ll be less stressed and your boss will be happier.

I believe that these skills are the key to a positive change in our careers. But it’s a matter of you taking the initiative to add them.

How to Stay Relevant with AI

AI isn’t here to take your job. But someone who knows how to use it—is.

Think back to the arrival of the tractor. It didn’t eliminate farmers; it reshaped the work and widened the gap between those who modernized and those who didn’t. We’re at that same inflection point—only now it’s happening in offices, not fields.

The job now isn’t to outthink or outwork the machine. It’s to direct it.

Start small. Pick one task—just one—that AI can handle for you this week. Offload it. Improve it. Build the muscle.

Because staying relevant in the AI era doesn’t mean doing more. It means working smarter, not harder.

In case you didn’t know, that’s the tagline for The AIE Network. 😉

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• Tavrn Copilot – Tavrn provides robust, best-in-class AI-powered demand letters within 24 hours, helping attorneys settle cases quicker and for more.

I hate meetings. Largely they are inefficient and too long.

Meetings alone aren’t the problem.

It’s what happens after that kills productivity: scattered notes, unclear tasks, and no synthesis. Multiply that by five meetings a week, and your thinking disappears into noise.

I use Fireflies to transcribe conference calls. But here’s another use: turn your meeting notes into strategic content. After a good strategy session, I use ChatGPT to turn the transcript into a blog post or briefing.

I strip the private stuff, then prompt like this:

"Take this meeting transcript and generate a 1,000-word blog post based on the main topic discussed. Focus on making it useful for a general business audience. Strip out information that might be confidential."

Sometimes I leave a voice note saying, “That part is private.” That helps with confidentiality, but I also review the output to ensure I don’t share anything sensitive.

I use Fireflies.

Afterwards, I use some prompt chaining as I noted in an earlier AI Lesson, to improve or direct the updates. 

• "Frame the intro with a real-world challenge."

• "Pull bullet takeaways from the last section."

• "Keep the tone clear, confident—not salesy."

This is a great way to leverage the work you already did and let your AI minions do your work without writing from scratch.

I appreciate your support.