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How to Make Yourself Hireable for AI Jobs Quickly

If you need to become employable in AI fast, here's the highest-leverage 90-day plan — focused on what actually moves hiring decisions, not what feels productive.

Mherie Vic Palomo Prevendido
Mherie Vic Palomo Prevendido·Jun 9, 2025·3 min read
17+ industry awards · SEO, Paid Ads & Brand Growth
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How to Make Yourself Hireable for AI Jobs Quickly

Sometimes you don't have the luxury of a slow, careful transition. You need to become employable in AI quickly — maybe you're between jobs, maybe your current role is at risk, maybe you just see the window and want to move. As someone who decides who gets hired, let me tell you the highest-leverage way to become hireable fast, focused on what actually moves the decision rather than what merely feels productive.

The principle: optimize for proof, not knowledge

The single biggest mistake people make when trying to get hired quickly is over-investing in learning and under-investing in proof. They take course after course, accumulating knowledge nobody can see. What actually gets you hired fast is demonstrable proof of capability — work a hiring manager can look at. Front-load the proof. The knowledge comes through building, not through endless courses before you start building.

The 90-day plan

Days 1-14: Immerse in the tools

Use AI tools every single day for real tasks. Not tutorials — real work. Rewrite documents, automate something, build a small workflow, generate and refine content. The goal is genuine fluency, the kind that only comes from daily hands-on use. By day 14 you should be comfortable, not fumbling.

Days 15-30: One focused skill + start building

Pick the one skill most relevant to your target role and go deep. If targeting content roles, AI content workflows. If targeting ops, AI implementation. Take one focused free course (Anthropic's prompt tutorial, Google's AI path) while simultaneously starting your first real project. Learn and build in parallel, never sequentially.

Days 31-60: Build three portfolio projects

This is the most important phase. Build three real, documented projects that demonstrate you can solve real problems with AI. Each should have a clear problem, your approach, and a measurable result. These projects are what will actually get you hired. Document each as a one-page case study. This is where most people who fail give up — don't.

Days 61-90: Apply with specificity

Now apply, with your portfolio leading. Target specific roles, tailor each application to show relevant projects, and reach out directly to people where you can. Quality of applications beats quantity. Twenty thoughtful, tailored applications with a strong portfolio beat two hundred generic ones.

What to skip (because you're in a hurry)

Skip long degree programs and expensive bootcamps — no time, and they're not necessary

Skip collecting multiple certifications — one at most, and only while building

Skip trying to learn everything — depth in one relevant area beats shallow breadth

Skip perfectionism on the portfolio — three solid projects beat one perfect one you never finish

The things that actually move hiring decisions fast

From the hiring side, the candidates who become hireable fastest do these things:

They show, don't tell — a portfolio beats any claim

They demonstrate they can take work off my plate reliably

They lead with their existing domain expertise plus new AI fluency

They apply to specific roles with tailored, specific applications

The honest take

You can become hireable for AI-adjacent roles in about 90 days of focused effort — but only if you optimize for proof over knowledge. Immerse in the tools, go deep on one relevant skill, build three documented projects, and apply with specificity. Skip the degree programs, the certification collecting, and the perfectionism. The fastest path to getting hired isn't knowing the most — it's proving you can do the work. Build the proof, lead with it, and move.

Sources

Anthropic, Prompt Engineering Tutorial (June 2024). anthropic.com

Google Cloud Skills Boost, Generative AI Learning Path (since 2023). cloudskillsboost.google

World Economic Forum, Future of Jobs Report 2023 (May 2023). weforum.org

LinkedIn Economic Graph, Jobs on the Rise 2024 (January 2024). linkedin.com

Results shared by Through The Glass Creatives Global and its founders are not typical and are not a guarantee of your success. Ravve Jay Prevendido and Mherie Vic Palomo Prevendido are experienced business owners, and your results will vary depending on your industry, effort, application, experience, and market conditions. We do not guarantee that you will achieve specific outcomes by using our services. Consequently, your results may significantly vary. We do not give investment, tax, or other financial advice. Case studies and client experiences are mentioned for informational purposes only. The information contained within this website is the property of Through The Glass Creatives Global - FZCO. Any use of the images, content, or ideas expressed herein without the express written consent of Through The Glass Creatives Global FZCO is prohibited. Copyright © 2026 Through The Glass Creatives Global FZCO. All Rights Reserved.