The AI Overoptimization Trap

JOB SEARCH STRATEGY WITH EARLY.

I’ve noticed a trend among job seekers in 2026.

Just a year ago, someone using AI in their job search was the exception, not the rule.

Today, everyone is using it.

That’s likely not shocking to anyone reading this. I assume that some of you are having this newsletter summarized by an AI agent and fed into your morning brief instead of reading it yourself.

But with the increase in AI usage has come another, more troubling trend. I’ve experienced it personally, and I’ve seen it more and more as we’ve helped people with their job searches this year.

The trend I’m seeing is AI Overoptimization.

I define AI Overoptimization as the desire to optimize every part of your work, life, and, in this case, your job search by leveraging AI.

AI is an incredible force multiplier.

I can run the Early Accelerator with only one full-time team member and a handful of part-time contractors and deliver great results for our members because of AI.

But if you’re trying to run every process, task, and thought through AI. If you’re constantly switching tools and trying to find the hot new program that will change everything, it can paralyze you and make you less effective instead of empowering you and making you more efficient.

In this week's newsletter, I’ll share the stories of three job seekers.

One was feeding her networking call transcripts into ChatGPT and couldn’t figure out why the calls kept falling flat.

Another was stuck because she didn’t know a more efficient way to identify and apply to more roles.

The third has 12 ongoing interviews with top companies just two months after starting her search and shared where she’s leveraging AI and what she believes is the secret to her success.

Through these stories, my goal is to show you where AI can be a force multiplier in your job search and where it needs to be put aside.

IN THIS ISSUE:

1. THE AI NETWORKING FLOP

2. THE AI APPLICATION FREEZE

3. 12 TOP COMPANY INTERVIEWS IN 2 MONTHS

4. WHAT AI IS GOOD AT (AND WHAT IT’S TERRIBLE AT)

5. JOB SEARCH SPEED VS EFFICIENCY

1. THE AI NETWORKING FLOP

Jen is making a career transition.

She spent over a decade investing in startups but wants to spend the next stage of her career operating inside of a startup and building the product, not just investing and watching from the sidelines.

Given that she’s located in Silicon Valley and has built a strong reputation in startups, warm networking calls have been easy to come by because everyone is seemingly one degree of connection away.

But despite a calendar full of networking calls, something felt off.

She felt like she was doing everything right.

She had fed her LinkedIn network into ChatGPT, and it had surfaced relevant people to speak with. It had even given her questions to ask during the call.

But despite all of that, she exited every call feeling like nothing was accomplished.

After ten calls, maybe one turned into a real relationship. The rest ended with a thank-you email and nothing else. No follow-up and no actionable takeaways.

She couldn’t even remember what was said on half of them.

So I asked some simple questions: 

“What did you actually want to accomplish with the networking calls?” 

“What was your goal going in?” 

“What was the genuine curiosity behind the outreach, other than hoping the person could be the gateway into a job?”

I could see the realization sink in as I asked those questions.

The answer was… she didn’t know.

She was joining the calls without knowing what she wanted out of them, and hoping AI would tell her.

She had outsourced the entire thought process, strategy, and interest to a computer program that predicts the best next word.

AI is great at gathering information, but it cannot tell you what you’re actually curious about.

And you know what?

The person on the other side of the call can tell within minutes whether you’re curious or reciting a script.

The thing that makes networking work is genuine interest and curiosity, not what you should be curious about, not the questions you should ask.

(If you want to go deeper into networking strategy, I wrote a deep dive into how my networking strategy led to 10-20 networking calls each week and ultimately landed me a VP role at a Series A startup with top VC investors - READ IT HERE)

After a few minutes of digging in, I could see the switch flip in Jen’s mind.

“If I spent a few minutes reading his LinkedIn myself, it would be a better conversation, because I saw the content instead of AI summarizing it for me. I’ve been asking AI to prep me for the calls as if it were my human analyst and outsourcing the intent behind the call to AI.”

While a personal review of someone’s profile may seem manual in the age of AI, what I’ll tell you is that within a few seconds of reading the right person’s profile, you’ll likely have sparks of curiosity emerge.

• What was it like when they made the transition from Company A to Company B?

• What led them to leave Company A?

• What does it actually look like inside of Company B, what are the biggest problems they’re solving, and how does your background align with what they’re actually working on?

• How did they land the job at Company B, and what did they feel set them apart from the competition?

• How do they know the person you used to work with who’s a mutual connection?

If there’s no genuine reason to reach out, if there’s no curiosity, then there’s a simple solution.

Don’t reach out.

Don’t force the call just because ChatGPT is telling you to jump on a call with this person and ask a set of questions.

If this sounds familiar, remember this.

Networking is a relationship process built on genuine human interest and curiosity.

Before you touch a tool, write one sentence about what you hope to gain from the call outside of a job.

If you can’t write it, don’t book the call.

2. THE AI APPLICATION FREEZE

Allison is seven years into her career.

She spent the first seven years working in social media agencies, helping companies scale their ads, and has worked with some of the top brands in the US.

While agency work has taught her a lot, she has the itch to embed with one company and help its product and business scale from the inside.

Just a few weeks into her search, she’s already seeing success. Receiving inbound interest from startup recruiters.

But for some reason, she still feels anxious.

On this week's call, she shared where she felt stuck.

“It took me a few days to put together 20-30 job openings that I’m interested in. I just feel stuck because it took me a while to find those initial roles, and I want to figure out if there’s a way that I can be doing what I’m doing but in higher volumes by leveraging AI.”

This is where the AI Overoptimization raises its head.

First, she feels like the manual work that she did wasn’t efficient enough, and that’s making her worried. But she’s ignoring everything she gained from doing the manual work.

She went through the process of finding roles, unsure whether to stick to the safe agency path or pursue founding growth roles at startups. She came away realizing that every founding growth job description she read asked for almost the same thing, and that she already had the skills to do it.

That built significant confidence to go after what she really wanted.

With that confidence and sense of direction, she can now use those job descriptions to train a simple AI scraper to find similar roles for her and add them to a living list of target jobs.

Could she spend the next week building a complex, beautiful, but complicated AI job-search tool that identifies roles, pulls all the company information, identifies contacts, and gives her positioning recommendations? Sure. But if she has limited time because she’s working a full-time job and she’s not particularly technical, that can distract from the work that will actually move her closer to landing her next role. Mainly, networking, crafting applications, and writing personalized outreach to people on the team.

As we talked through where she was today, how the manual work wasn’t wasted, and how she could leverage it with AI in a light, non-overwhelming way, I could see a smile creep across her face.

“You’re smiling. What did you realize just then?” I asked.

“I’m just remembering how I landed my last job.” She said.

“I’ve been so worried that I’m not doing enough, and I need to do more, but I landed my last job by sending highly personalized emails to three specific founders. That led to the interviews and ultimately the offer.”

She realized AI could help with some of the search and remove manual tasks, like identifying future roles. But it wouldn’t be pure volume or AI-assisted writing that would land her the next job. It would be leveraging what was already inside her and keeping a highly tailored, personalized approach when going after the roles she wanted.

If you find yourself in a similar position to Allison, starting a spreadsheet of job postings with your heart beginning to race as you think, “I need to add all these other features and scale this thing up, so I’m not missing anything,” just pause for a moment and take a breath.

Pick five roles from your spreadsheet. Go to LinkedIn and find five people from each company to reach out to. Tailor your application for the role, apply, and send your networking messages.

That is the actual work that will land you your role. Not obsessing over how you can make your AI job search tool more efficient.

3. 12 TOP COMPANY INTERVIEWS IN 2 MONTHS

Natasha spent almost 10 years at a top consulting firm before transitioning into startups. She joined the Early Accelerator to support that initial transition.

The move from consulting to startups was challenging because she needed to focus on how she told her story and how she translated her consulting experience in a way that showed she had what it took not just to create the plan, but to execute the A-to-Z implementation.

After tightening her story, she landed a partnerships role with a Series A startup backed by top VC investors like Lightspeed, Founders Fund, and Kleiner Perkins in just 90 days. Unfortunately, after a year and a half, the company pivoted its go-to-market approach and cut the entire partnerships division.

As she started the new search, she reached back out to me to check in, and we chatted about her approach. She’s been job searching for almost exactly two months, so I messaged her to see how things were going.

“I’m in final rounds at a bunch of great companies this week and next, so hoping to land something soon.” She replied.

I asked her where she was interviewing, and she rattled off 12 top companies that most everyone reading this who’s plugged into the startup and tech world would recognize.

NVIDIA, Salesforce, Harvey, LiveKit, Mixpanel, Microsoft, Perplexity, Stripe, Legora, Gumloop, Sierra, and Unity.

“Damn girl! What’s working for you?” I responded.

“I think it’s a combo of clarity about what I’m looking for, strong activation of my network, and just running a really consistent daily practice of recruiting (running it more like nurturing a sales funnel). 

3 of these roles, I was the first one in the funnel because a close colleague referred me directly.

Using AI to prep company/role briefs and as a brainstorming partner has also been a game changer.”

See what she listed?

• Clear, specific role targeting

• Large focus on networking

• Consistency of execution

• Using AI to augment her preparation and thought process

See what she didn’t mention?

• A complex AI role identification system.

• Mass applications and messaging leveraging AI

• AI job search automations

I’m not saying that building AI tools to assist you with your job search is a bad thing.

All I’m saying is that they’re not absolutely necessary to land interviews and jobs, so don’t let AI paralyze you from taking the actions that will materially move your job search forward.

JOIN THE EARLY ACCELERATOR & LAND THE JOB YOU WANT

Natasha has landed more interviews in a few months than most people land in a year, and she did it with the playbooks, coaching, and community inside the Early Accelerator.

Here are some recent member wins:

• One member landed an SVP, Growth role at a profitable startup and negotiated a $50k increase in base salary from the initial offer

• Another member landed a Senior Agent Operations role and negotiated an additional $10k from the initial offer

• Another member transitioned from an old-school manufacturing company to a product role at a startup in 3.5 months and increased his compensation by 36%

These come from the playbooks, mentorship, coaching, company research, and community we provide.

Learn more and apply today (click here).

4. WHAT AI IS GOOD AT (AND WHAT IT’S TERRIBLE AT)

AI is very good at gathering information and making predictions. It’s terrible at creativity and personal intuition.

Here's what I’ve seen it help with in the job search process.

1. The research dossier on a person before a networking call or interview. Every podcast, post, and job change pulling into a career narrative.

2. Company and role briefs before an interview. Plus interview prep with voice mode.

3. Reading your call transcripts and interview recordings back to you. Record everything (I’m not a lawyer, so check your state’s laws), feed it into one project with all your context, and let it spot patterns that you haven’t been able to identify.

4. Scraping job boards and tagging anything posted in the last 24 hours so you can go after the freshest ones first.

5. A second pass on your LinkedIn connections to find people you missed after you’ve gone through them manually.

Here are things I’ve seen you own better.

1. Deciding what you want to get out of a conversation. You can ask AI, “Why am I having this call?” and it’ll give you an answer. It just won’t be YOUR answer.

2. Crafting three to four questions to ask in a 30-minute conversation. The best questions come from what’s burning in you about this person’s path, company, role, etc. Not the most logical questions provided by a prompt.

3. Writing your outreach messages. When someone writes solely or mostly using AI, we can tell immediately, and it gets ignored.

4. The first pass on anything. Going through an initial list of 20 to 30 target roles by hand. Taking a manual pass through your connections on LinkedIn to identify who you want to reach out to. This manual work helps you identify what you’re actually looking for and better informs an AI process or workflow.

5. Your own post-mortem after every call. Record how it felt, your takeaways, where you felt underprepared, and what you felt went well. Write that down first, then let AI add anything that you missed.

My two underlying recommendations are:

1. Don’t overengineer your job search where complexity isn’t warranted.

2. Don’t outsource yourself, your thinking, your curiosity, or your soul to AI.

5. JOB SEARCH SPEED VS EFFICIENCY

I find that a lot of the AI Overoptimization and paralysis comes from conflating job search speed with efficiency.

Most people don’t enjoy the job search process and don’t believe we can enjoy the process, so we want it to go fast so we can get back to work.

But an efficient job search isn't necessarily the fastest.

I love how Joe Hudson (executive coach to Sam Altman, the OpenAI research team, and other top Silicon Valley founders) explains that people confuse efficiency with speed.

Look at a Ferrari. Ferraris are beautiful and fast, but you wouldn’t call them efficient.

Look at a Prius. They may be ugly, but they’re incredibly efficient vehicles.

They both get to the same destination, but one uses far fewer resources than the other. Hence, it is more efficient.

That’s what we’re going for in the job search.

We want to arrive at the same destination (a new role) using fewer resources.

It’s not about “how can I apply to the most jobs” or “how can I network with the most people”.

The real way to win is to approach it this way: how can I go through a full day of job searching, be exhausted, and still look forward to taking action tomorrow?

Instead of using AI to identify 50 roles, craft all your networking messages, and fire off 50 applications and 200 emails in a week, use that same energy and effort focusing on 5 roles.

You’ll gain more traction, the process will get easier, you'll put less pressure on yourself, and it will become more enjoyable.

As the process gets easier and you learn what works, you’ll get more efficient. Soon you’ll find that you can increase from 5 roles to 10 roles in a week without expending more energy or sacrificing quality. That’s the point where volume actually works, because YOU know what’s working. You’re not just relying on AI to tell you what might work.

Jen realized her personal connection with people would improve her networking.

Allison realized her focus on handcrafted personalized outreach was how she landed her last role.

Natasha has seen firsthand that focus and consistency are the real reason she’s in the interview process with 12 top companies.

AI can augment those things, but when you look to optimize or replace the human element with AI, you’ll fall flat.

As you plan your networking outreach for next week, before you open any AI tool, write down what you hope to gain from the call beyond landing a job.

What are the three questions you’re actually curious to learn about?

Then, and only then, run the research prompt and build the dossier on the person or company.

After the call, write down your own post-mortem in five sentences.

Feed your reflection and the transcript into one project. 

Run that process for every call this month and watch what starts to happen.

And if you’ve built some elaborate AI job search machine, hit reply and tell me what it does. I’d love to see it.

But for everyone else, don’t get bogged down trying to overoptimize your job search with AI.

Allow it to help and augment the search, but make sure you keep the human element alive and ever-present.

Not everything gets better with more AI.

Let's go get you that job! 🏆

Kyle

Founder of Early

P.S. Whenever you're ready, here are the three more ways I can help you this week:

1. Apply to join the Early Accelerator - Get coached directly by me, surrounded by a community of hundreds of badass startup operators. This is everything I learned when landing my role as Uber employee 250 and transitioning post-layoff to a Series A with top VC investors. We give you everything you need to make your startup job search a success. Structure, accountability, strategies, investor-grade company data, target company lists, negotiation assistance, everything to help you win.

2. Download the Clarity Playbook (FREE) - the exact process I walk every Accelerator member through to lock in their Role, Impact, and Company before they ever write a post or send a resume.

3. Use the Proof of Work Finder (FREE) - finds the highest-leverage Proof of Work you can create for a target startup, builds it with you, and pressure-tests it so it doesn't read as generic.