My Job Faces 70% Automation Risk. My Wife's? Almost Zero. Here's What We Learned About AI and Careers.

My wife and I have very different relationships with artificial intelligence.

Me? I'm a knowledge worker in a specialized industry. When I honestly assessed my role last year, I realized that roughly one-third of my daily responsibilities could be handled by AI right now. Looking five years out, with the likely adoption of agentic AI by my employer? Probably 70% to 80% of what I currently do.

My wife is a chiropractor with 25 years of experience. Her assessment? AI might streamline her scheduling and paperwork, but it has virtually zero impact on her core work—the hands-on patient care, physical assessment, and relationship building that define her practice.

We have conversations about this that would probably sound absurd to someone listening in. She's curious, but not losing any sleep. I'm... quite concerned. And that contrast, that gap between our two experiences, is exactly what led us to build AI Awareness Report—a job automation risk assessment for professionals navigating AI disruption.

Because here's what we realized: many people have no idea which category they're in.

The Wake-Up Call That Changed Everything

Before ChatGPT launched in late 2022, I thought about AI the way most people did: it was something happening in research labs and the subject of a few movies, not something that would affect my daily work anytime soon.

My wake-up call came in November 2024. During my busiest time of year, I was slogging my way through a mountain of documents, trying to identify important provisions among hundreds of pages of boilerplate language. On a whim, I pulled up Copilot, uploaded the documents, and started asking questions.

In 15 minutes, I had a summary of the key items I needed addressed. Had I gone through the documents using my standard approach, I was probably looking at two to three hours.

The output wasn't perfect. But it was 80% there. And with minor edits, it was indistinguishable from my usual work.

That's when I knew.

My Testing Phase: What AI Can Actually Do

I realized I had to better understand the limits of what AI could do relative to my job duties. So I started testing tools against my actual work:

Document review: Reduced my time spent by 50% to 70%.

Data analysis: Reduced time spent by about 30%.

Report writing: Here I started to see real limitations, as the LLMs required very detailed prompts to draft usable report language, and getting output into table formats was nearly impossible. While there were some time savings, it was likely between 10% and 20%.

It became clear to me that I wasn't just playing with new technology. I was methodically identifying which parts of my job were vulnerable. The answer? Probably more than I wanted to admit.

Though I was heartened by the fact that the part of my job that I enjoy most—and the part that is most impactful to my clients—was largely immune from existing AI tools. Communicating the results of my analyses and helping clients navigate the implications was not something that could be readily replicated.

The final tally: In the near term, with current AI capabilities, roughly 30% to 35% of my daily tasks could be automated or AI-assisted.

But that wasn't the concerning part.

The concerning part was looking five years ahead. With agentic AI—systems that can plan, execute workflows, and make autonomous decisions—I arrived at my 70% to 80% estimate of automation risk.

So what remained? Fortunately for me, the 20% to 30% that remained happens to be the work I most enjoy.

My Wife's Completely Different Reality

At the other end of the continuum is my wife, who has been a chiropractor for 25 years. When we analyzed her role the same way I analyzed mine, the results were completely different.

Here's why AI has minimal impact on chiropractic:

Physical component: Her work requires hands-on manipulation, physical assessment, and manual adjustment. No algorithm can perform a spinal adjustment remotely.

Diagnostic complexity: Each patient presents differently. She reads subtle physical cues, interprets X-rays in context, and adjusts treatment in real-time based on patient response.

Trust and relationship: Patients come to her because they trust her judgment and experience. That relationship, built over years, can't be replicated by an AI interface.

Regulatory barriers: Healthcare faces strict regulations around AI adoption, especially as it applies to hands-on treatment.

That said, AI isn't irrelevant to chiropractors.

AI-powered tools can be used for scheduling and appointment reminders, billing and insurance claims, patient communication, and administrative paperwork. Not only do these tools save time, but crucially, they free doctors up to spend MORE time doing the actual skilled work—the part AI can't touch.

Her job isn't threatened. It's optimized.

The Dinner Table Conversations

This contrast has led to some surreal conversations.

Me: "I spent three hours today on a task that Copilot could probably do in 90 seconds."

Her: "So... use Copilot?"

Me: "I am. But what happens when AI agents start doing half my job?"

Her: "Then you focus on the work AI can't do."

She's not wrong. But here's what worried me: I saw talented colleagues and professional contemporaries largely ignoring the writing on the wall.

Not because they were lazy or uninformed. But when you're buried in the day-to-day work, it's nearly impossible to step back and ask: Will this work still exist in five years?

What also concerned me was that this pattern wasn't limited to my industry.

I'd talk to friends in legal services (paralegals facing massive disruption), accounting (junior analysts being replaced by AI), and marketing (content writers struggling to compete).

And I'd hear the same thing: awareness without urgency. People knew AI was coming. They just weren't doing anything strategic about it.

That's when the idea hit me.

Using AI to Solve the AI Awareness Problem

I spent most of a weekend during the holidays researching studies on AI's impact on careers.

And then it hit me.

I was using AI tools to research how AI would impact careers. I was prompting Copilot to analyze occupation data. I was having Claude help me break down task-level automation risk.

Why wasn't I using AI to help OTHER people understand their own situation?

The irony was almost funny.

I started building a simple assessment tool. Nothing fancy—just a questionnaire that asked about daily tasks, work environment (digital vs. physical), routine vs. creative work, and current AI exposure.

I used AI to analyze the responses and generate a personalized impact score.

I tested it on myself: 73/100 (High Impact). Checked out.

I tested it on my wife: 18/100 (Low Impact). Also accurate.

I shared it with a few colleagues. The responses surprised me.

"That's not good." (the assessment results, not the tool!)

"This is exactly what I needed to see."

"What do I do now?"

That last question—"What do I do now?"—is what led to the full report.

What We Learned Testing With More Professionals

As we tested the tool with more people, we started seeing patterns:

Pattern 1: The Awareness Gap is Real

Knowledge workers in high-automation-risk roles (legal, accounting, data analysis) frequently scored 65 to 85 on our scale.

But many weren't worried. Why?

"I'm good at my job." (True, but irrelevant)

"My work requires expertise." (Also true, also irrelevant)

"AI makes mistakes." (Getting better every month)

Meanwhile, some professionals in physical roles (healthcare, skilled trades) were actively preparing—even though they faced minimal risk.

Pattern 2: It's About Job Structure, Not Intelligence

This is crucial to understand.

It has everything to do with the structure of your job:

• Is it primarily digital or physical?
• Is it routine or creative?
• Does it require human relationships?
• Can it be broken into repeatable steps?

Two equally smart people can have completely different AI futures.

Pattern 3: Proactive Adaptation Wins

After I recognized the risk, I became an aggressive adopter of AI tools available to me.

I learned to use AI to streamline routine tasks, focus my time on strategic and relationship-focused work, position myself as the person who leverages AI (not fights it), and relentlessly focus on skills in areas AI can't easily replicate.

For example, I now spend two hours a week on tasks that used to consume 8-10 hours. That freed-up time? I redirect it toward the strategic work only I can do.

My role hasn't disappeared. If anything, I may be more valuable than before. But that's because I saw it coming and adapted proactively.

What will happen to people who ignored the shift? They'll be left scrambling as employers roll out AI systems they should have been learning months ago.

The Core Problem: Lack of Clarity

Most professionals don't have an honest, data-driven assessment of where they stand. They're operating on vibes and assumptions.

That's what we built AI Awareness Report to fix.

Why We're Qualified to Build This

We're not career coaches. We're not AI researchers with PhDs. We're not consultants with a methodology to sell.

We're two people living through this transformation in real-time.

One of us is navigating a high-risk role, learning to adapt. The other is in a low-risk role, using AI as an optimization tool.

We've spent countless hours reviewing academic studies and government occupation data, while researching the AI capabilities of Anthropic, OpenAI, and Google, and real-world adoption patterns across industries.

But our real qualification? We have skin in the game. We're figuring this out for ourselves, and we wanted to share what we've learned.

That's it. No fancy credentials. Just honest research and lived experience.

What We Built

AI Awareness Report answers two questions:

1. "Where do I stand?" (Free 5-minute assessment)

You answer questions about your role, tasks, and work environment. Our AI analyzes your responses and gives you a personalized score:

• 0-39: Low Impact (like my wife's chiropractic practice)
• 40-69: Moderate Impact (adapt proactively)
• 70-100: High Impact (strategic repositioning urgent)

You see immediately where you stand.

2. "What do I do about it?" (Comprehensive Report - $29)

For those who want the full playbook:

• Task-by-task automation risk breakdown
• 6 strategic skills to develop for YOUR specific role
• 12-month action plan with quarterly milestones
• LinkedIn profile optimization (signal AI-resistant value)
• Industry outlook and salary trends
• Career pivot options if needed

It's the report I wish I had when I first realized my job was changing.

We're Not Alarmists

Our goal isn't to scare people. It's to provide clarity.

Because here's the truth: some roles WILL be heavily automated. Others won't. And most fall somewhere in between.

The professionals who thrive won't be the ones who ignored AI or feared it. They'll be the ones who:

• Understood their specific position
• Adapted strategically and early
• Focused on high-value work AI can't replicate
• Used AI as a tool, not a competitor

That's what we're here to help with. Honest assessment. Strategic guidance. No fear-mongering. No false reassurance.

Just clarity.

Your Turn

So where do you fall on the spectrum?

Are you closer to my 70% automation risk, or my wife's <10%?

More importantly: do you actually know?

You don't need to guess. You can find out.

Take the free 5-minute assessment. Get your AI impact score. See specifically which parts of your work are vulnerable and which are defensible.

If you're in a low-risk role like my wife, you'll have peace of mind.

If you're in a high-risk role like me, you'll have a clear action plan.

We built this because we needed it ourselves. If it helps you navigate your own AI future, that's exactly why we're here.