How to Use AI in Your Job Search

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Learning how to use AI to apply for jobs may help you overcome a competitive job market. Headlines warn that the big quit of America’s early 2020s has increased job seeker numbers.

The resultant hiring pool, packed with candidates, could make landing a job challenging for even the most qualified. An increase in online job searches has also raised applicant numbers for positions. After all, applying may be as simple as a few clicks.

But we know this simplicity doesn’t mean looking for a job is easy. That’s why we’ve created this guide to help you understand and utilize AI for your job search.

What Does AI Stand for and Mean?

AI stands for artificial intelligence. It refers to computer systems and apps designed to simulate human thought and behavior. A robot serves as a classic example of AI in action. But AI has innovated far beyond Roombas that vacuum while we work. Now AI can even do parts of our job for us too.

That’s why corporations and individuals get excited but also nervous about artificial intelligence and its potential . Why nervous? Replacing humans in the workplace is an idea that’s built into AI’s purpose. But AI must prove it can work as well as we do for this shift to manifest in reality.

That might sound implausible but companies are using artificial intelligence more every day. In fact, nearly 2/3 of surveyed organizations in 2023 explored generative AI usage. Here we explain different kinds of AI. Let’s also investigate how it may assist your job search.

What is generative AI?

Traditional AI works by doing tasks within clear rules and defined patterns. What is generative AI in comparison? Generative AI works in a more iterative way. That means it’s progressive and creative. This kind of AI builds new content off networks of information and activity as it works.

It’s as if the machine is teaching itself how to answer a query. This AI acts much like a human doing an online query may. In such cases you might input a search engine question and then reformulate the results you find into your own words.

A simple example of AI doing this might be a chatbot in action. On many websites chatbots are designed to answer customer queries within the range of the site’s neural network. AI does this thanks to language process programming. Usually, a chatbot’s language encircles only the realm of the organization. That’s why a chat with customer service might feel a bit limited in scope.

More extensive chatbots, such as Chat GPT, use the entire internet. Because they aren’t limited to a single source, their capabilities are greater. Here we list potential drawbacks and benefits for generative AI where the language neural network reaches across the internet.

Potential Benefits:

  • AI upgrades skills and capabilities for content creators with experience gaps.
  • Generative AI provides simple summaries for complex subject matter.
  • AI automates work progress to help increase productivity and efficiency.

Potential Drawbacks:

  • False or illogical reasoning and data can result from backend mislabeling.
  • Outdated sources may lead to content errors.
  • AI algorithms could discriminate and show biases against marginalized groups.
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What is AI in action like when using generative apps? The user experience for generative AI begins with a thoughtful query. As a large language model (LLM) generative AI responds specifically to your input words. Choose them with care for optimal results.

For instance, think about your ideal results. Are you seeking a list of facts? Comparison sets of data? Perhaps a paragraph about a specific topic? Or character studies from your favorite novel? The possibilities are vast and varied. So, get specific about what you want.

Then construct a detailed query to fill in the blanks of that structure with exactly what you seek from generative AI. Keep in mind that you’ll be molding the results to suit your objectives. For instance, if you’re looking for sets of data it may help to use a generative AI program that includes verified sources.

What is AGI AI?

Ever heard of the Singularity? Many speak of this with a foreboding tone. But it’s just a technical term for when AI gets smarter than humans.

So, what is AGI AI? It’s machine learning that raises AI to a human level of intelligence. AGI stands artificial general intelligence. If this elevated to a Singularity level of intelligence, that surpassed human, it would meet the definition for ASI, artificial super intelligence.

What is AGI AI’s significance then? In the 2020s, AGI defines the next goal point for AI innovators. Some researchers predict that computer science will achieve AGI as early as 2030. Others think it’s utterly impossible. Most agree, though, that AGI doesn’t exist yet.

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How does Artificial Intelligence work?

AI works as a system. It progresses through data using algorithms. Algorithms are sets of problem-solving operations that follow a set of rules or specific process. These are common in computers. So, how does artificial intelligence use algorithms differently?

Machine learning sets AI apart from other computer systems. AI systems include algorithms that can acquire skills. It adapts as it processes to let the data do the programming. Essentially, AI teaches itself, learning even from the humans who use it.

That’s how computers can learn how to play games against humans and recommend products we may like. Some may interpret these kinds of actions as computers pretending to be human.

The prospect of robots feigning humanity like this might raise questions about how ethical AI is. Many also have safety concerns about artificial intelligence.

Is AI ethical?

Ethics are moral principles that influence the behavior of responsible parties. AI hasn’t achieved the status of a responsible party. We leave that to humans for now. So, if AI enacts an unethical practice, the fault likely lies with the AI creator or user.

For example, inherent prejudice may create an ethical breach in AI due to the creator’s data set sourcing. This can happen because AI uses immense amounts of societal data. This information often contains embedded cultural prejudices. Inclusion of this bias can result with an AI system with built in prejudice.

Users may practice unethical behavior with AI if they plagiarize results from their query. Fact checking these results also presents an ethical grey area for AI users. That’s because many generative AI apps provide data and facts in results. But not all of them back these facts up with sources. If the AI doesn’t provide a source, the responsibility for checking these facts lies with the user.

Ethical use of AI can help increase work efficiency and effectiveness. It takes only two steps. First, use AI for help with structure and inspiration rather than copying it. Second, check the facts to find valid sources for any claims.

Is AI dangerous or safe?

There’s little justifiable concern for the Singularity happening anytime soon. Artificial intelligence hasn’t yet reached the human level of intelligence. So, the danger of AI exceeding our cognitive abilities is far in the future, if it’s even possible.

However, the potential ethical challenges of AI may also represent danger. For instance, the spread of misinformation and prejudice might cause cultural disruptions. Also, if AI replaces workers at a compounding rate, it could lead to massive unemployment and maybe even societal unrest.

With human consideration and monitoring, these dangers may be avoided. That means building accountability into AI systems. This might be managed with regulations and fail safes to handle ethical challenges.

Potential employment shortages could be addressed ahead of time. Political and social leaders may develop strategies and programs to serve a future human workforce.

How to Use AI for Resume Building

Job searches may sometimes feel like a full-time job. There’s background research to investigate potential employers as well as writing resumes and letters. These efforts may take lots of time and energy on your own. Luckily, many AI resources could help you build your best resume. Below are some ways to use them to your advantage in a job search.

Examples of how to use AI for a resume

There are many AI apps designated to help with resume creation. Here are some useful examples and options for how to use them. Take note, this represents a small sample from a large selection of available AI resume builders. These were chosen to illustrate various ways AI can help with your job search.


The platform for ResumeAI helps you make a resume in seconds with a simple, user-friendly interface. It also analyzes the content and offers helpful improvement suggestions tailored to the job you seek.


This AI app uses thousands of existing resumes to guide the building of your resume. There’s also an insightful starting point. You can choose to begin building from scratch or rework an existing resume. The latter option may help users who are changing careers or tailoring their resume to suit each job application.


Jobscan offers a unique comparison feature for users. This AI checks job postings for keywords and criteria. Then it assesses how well your experience and wording line up with these employers. Best of all, the AI edits your resume to suit these findings.


Optimization is all over this AI app. Also, although ResyMatch has a monthly fee, there’s usually a free trial offering. Cool features include job specific formatting advice. And it’s easy to use with a copy/paste feature for your resume and the job you seek.


This AI corrects errors in every aspect of your resume including formatting and your chosen keywords. In addition, it provides detailed and constructive critiques on your experience, use of active verbs, and brevity.

How AI can help you write a cover letter

Some employers won’t look at resumes without a cover letter. So, it may be worth your energy and time to craft adjoining letters when sending out resumes. In fact, it could be efficient to construct your resume first and then plug it into a cover letter AI.


There are lots of options in this AI to help you construct cover letters that suit your preferences. Coverletter-ai can include your skills, experience and even fold your interests into a strong first draft.


This job application AI works in three helpful tiers. You input the job opening information and resume. Then the AI develops a relevant cover letter and interview questions for you. It also provides analysis for how well-matched you may be with the position.


Useful and easy, this AI offers templates to help kickstart your writing process. Best of all, they offer both resume and cover letter building. So, you can create your job search content all in one place.


This job application AI also combines services for resume and cover letter creation. You can construct the cover letter by answering questions or uploading your resume. Either way, this is a fast and easy way to get a relevant, impactful cover letter.


This AI writing tool isn’t just for cover letters, but it has a special section devoted to them. The focus on writing shines through in its cover letter generator. You can tailor a letter to the job you seek and Simplified helps you express your unique voice.


Applying for jobs may get a bit easier once you learn how to use AI to help with your application. AI might give you just the boost you’re seeking when short on time and looking for employment. That’s because AI apps could help improve the quality of your resume and cover letter while saving you time and effort.

Click below for more helpful tools to aid your job search and forge a new beginning in your career.

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