• Marie Pabelonio, a Google editorial lead, graduated from college with an English degree in 2009.
• She highlights the value of her English degree in adapting to AI's impact in the tech industry.
• AI helps her meet deadlines and focus on the bigger picture, but a human touch is still essential.

This as-told-to essay is based on a conversation with Marie Pabelonio, a 38-year-old editorial lead at Google, based in the Bay Area. This story has been edited for length and clarity.

I've been at Google since 2019, and as a writer, I knew AI would affect my role.

Looking back on my career trajectory, it feels like nothing short of a miracle that I ended up where I am. I graduated with an English degree in 2009, right after the financial crisis, and I'm now an editorial lead in people operations at Google, where I co-lead a small team that drafts and editorializes about 4,500-plus pages of HR policies. I've used AI to automate processes, refine drafts, templatize, and meet deadlines that would be impossible otherwise.

At this point, anyone, regardless of whether they're a writer or not, has felt it: Is AI going to automate me? Is it going to eventually just replace my job? I don't think I work more or less because of AI; I just work very differently.

I was a humanities major and fell into Big Tech

The job market felt very volatile when I entered it, which I think a lot of young people entering the workforce today feel.

I didn't have a career plan. I was an English major because I loved reading and writing, and if I found a job where I could do that and build a specific skill set on top of it, I would be OK.

My first job was as a fact-checker for the publishing arm of an industrial supply company, and then I became a copywriter in the advertising and marketing space. In 2016, I moved from Chicago to the Bay Area and became an editor at Amazon's subsidiary, Goodreads. I stayed in the Bay Area and made my way to Google by 2019.

I wasn't surprised that AI changed my job right away

We've heard the word "unprecedented" so much in the last six years or so that nothing surprises me anymore, including AI.

My team works with stakeholders and policy designers to interpret and draft policies, whether they're return-to-office, hybrid work, or immigration policies. There are areas where AI is useful in our work, and the tool has helped us regain more strategic time by automating tactical parts of our process.

This includes training the AI on standard article structure, to include four sections like background, key details, process, and related resources, formatting consistencies, including where headlines, a bulleted list, or a table would be used, and five to seven non-negotiable details the user needs to know from the policy.

I think there's still a lot of room for that human touch in that process. Once I have the output, I spend my time on the more strategic pieces, like verifying tone and voice, determining whether the article actually achieves the user goal, and how it fits with the broader content strategy of other articles.

In our writing, the goal is to inject humanity and warmth as much as possible, especially when explaining human resources topics like an employee's health insurance, compensation, performance reviews, and career growth. AI can't do that by itself.

AI saved me when I had a tight deadline

Around the time we started using AI, I had a big project to update existing policies, and I was on a tight deadline. I spent a lot of time upfront strategizing about how I could use AI to accelerate my work and meet my goals.

To address the overwhelming number of first drafts, I used AI to template a structure for readability, created a checklist for tone, style, and quality, and because of that was able to focus more on streamlining stakeholder reviews to check for accuracy. I met my deadline with a few days to spare. This was when it clicked for me that AI was changing things in a huge way, when this deadline looked really impossible, and then it wasn't.

Still, there were many times I had to validate and tweak the outputs. I never felt I could use AI as my secretary and leave it alone to do whatever it wanted.

Studying the humanities gave me a particular edge in the AI job market

I think there will be more of a premium on how we think, not what we know.

When it comes to writing, it's about being able to articulate the reasons behind your choices. Why this phrase and not that? Why put this insight here and not there? There's a rationale behind your judgment.

In job interviews, the question of how you use AI at work will inevitably come up now, and your AI output is only as good as your input. Good writers can get better, but bad writers can get worse, and just because you're writing fluently doesn't mean you're writing well. Studying literature so closely helped me reflect more on questions instead of answers.

This is the time to brag about how you develop your own sound judgment and how you use that judgment in your AI inputs. As good as it is to develop hard skills, it's just as important, now more than ever, to focus on soft skills too.

Do you have a story to share about your writing job in tech or AI? Contact this reporter, Agnes Applegate, at aapplegate@businessinsider.com.

• Tejal Rives hoped adopting AI at work would help keep her safe from tech layoffs.
• However, she lost her job at Amazon during layoffs in October 2025.
• Rives was disheartened but was glad the experience taught her about AI.

This as-told-to essay is based on a conversation with Tejal Rives, 35, who lives in Arizona. The following has been edited for length and clarity.

In October 2025, I read a news article that Amazon was planning to cut jobs. I'd survived other layoffs, but this time my gut told me I'd be affected. Sure enough, not long after, I received an email that my position as a product marketer was being eliminated.

I was one of 14,000 people impacted, and even though I understood the decision wasn't personal, it was very disheartening. I thought up-skilling in AI would make me safer from layoffs, but even though it didn't, I still think professionals should focus on learning this one important AI skill: prompt engineering.

I thought working on AI could safeguard my job

At the time of the October layoffs, there was debate around whether AI was the reason.

The company was encouraging us to use AI at the time, but I don't think it took my job. I wrote descriptions for internal products at Amazon, and when I used AI to help, I'd need to ask it to rewrite its output without fluff words. It didn't sound like how people talk. Despite my ethical qualms, I used AI, but, in my opinion, it was nowhere close to replacing my role.

Before I was laid off, I helped build an internal site for Amazon using AI. I hadn't really coded before, but with a colleague's help, I learned how to vibe code with a lot of trial and error.

I thought using AI for this project and showcasing different skills would make me more valuable to the company, but in the end, it didn't keep me from being laid off.

Initially, I felt like I'd wasted time by learning something I likely wouldn't use again, but overall, I don't think my efforts were wasted. The most important thing the experience taught me was prompt engineering, the practice of asking AI the right questions. I want to be minimal with my use of AI for ethical reasons, including around the water resources needed to power data centers. Efficient prompt engineering helps me ask AI my question once, without needing to clarify three or more times.

I'd highly recommend that other professionals learn prompt engineering to up-skill themselves in the age of AI.

The workforce has shifted, and you're likely going to need to learn AI and use it at your job, regardless of your moral qualms. We need to up-skill to survive.

I have my own business, and use AI very rarely

My husband and I already agreed that if I were laid off, I'd focus on being the primary parent to our child as well as on my career coaching business, called Do My Resume LLC, which I was running on the side of my Amazon job. Before being laid off, I planned to eventually quit my job and focus on it full-time.

I didn't realize how burnt out I was after four years at Amazon, though, and it took me a while to pivot into working on my business. For roughly three weeks, I didn't touch my computer. I took up sewing and house-cleaning projects because I needed separation from my screen.

Now, my life is slower than it was at Amazon. I spend roughly four hours a day, six days a week, on the business, and spend the rest of my time taking care of the house and my family.

The business provides career coaching and résumé-writing services, but we don't use AI to write résumés, because it's humans who read them. Recently, I used AI to give me advice about starting a YouTube series for my business, so I will use this technology to help me flesh out ideas, but very rarely. I haven't vibe-coded since the project at Amazon.

My husband is the breadwinner, and we can survive on his income, but the business is bringing in some fun money for me.

I think people should prepare for layoffs in the age of AI

Being laid off helped me remember that, at the end of the day, your job and company shouldn't be your entire life. It shouldn't come before your well-being.

I wish I hadn't sacrificed time with my child to get projects done towards the end of my time at Amazon. I'm glad I'm no longer sacrificing that time.

I think there will be more layoffs that will be attributed to AI's efficiency, and professionals should always be prepared. Reskilling in the age of AI won't necessarily stop a company from laying you off, but it might help you land a role faster.

Amazon did not provide a statement in response to a request for comment from Business Insider.

Do you have a story to share about being laid off in 2026? Contact this reporter at ccheong@businessinsider.com