For anyone paying attention to recent reporting on AI and the job market, it’s easy to feel a little dismayed. There are many dire statistics floating around regarding the job-loss potential from new advancements in generative AI. Outside of the job market, there are also some existential conversations being had on how the new technology could affect things like culture and art.
These conversations are absolutely worth having, and the real-world consequences of implementing AI technology too rapidly or irresponsibly, should not be swept under the rug.
There is, however, another side to this issue—that is, the ways in which Generative AI could actually benefit the job market.
Before we explore the potential benefits of this new technology, it’s important to define exactly what type of artificial intelligence we are referring to.
According to IBM, “Generative AI refers to deep-learning models that can generate high-quality text, images, and other content based on the data they were trained on.”
Think chatbots, image generators, etc.
Many experts point to the release of ChatGPT as a major turning point for this technology. In addition to language prediction skills and image editing software, newer generative models can also learn the grammar of coding software, molecules, and other data types.
Despite recent advancements, there are still many fields in which generative AI doesn’t seem likely to be replacing workers anytime soon. Sectors such as education, law, medicine, and other highly-skilled professions are seen as not being at a high risk for AI job replacement. Those industries, however, are still predicted to change in major ways due to the implementation of this new technology.
Teaching, for example, has already been both aided and complicated by the increased popularity of Chatbots. These AI tools can be very helpful when it comes to things like lesson planning, creating worksheets, etc. On the other hand, students learned early on that they could use those same tools to help them write essays, do their homework, and cheat on exams.
The two industries that experts agree are likely to be the most significantly impacted by the use of generative AI are banking and technology. Research suggests that “banks and some tech companies spend 60 to 80 percent of their payrolls, or more, on workers in occupations most likely to be affected by the new technology.”
While these sectors are going to see a lot of changes in the next few years, the good news is that this technology cannot be ushered in or properly managed without a team of skilled human workers behind the scenes.
Generative Artificial Intelligence has long been feared to be the great job stealer, but it also has the potential to be a lucrative job creator. There are many potential new positions that could accompany the wide-spread use and implementation of these AI tools.
We’ve boiled the list down to what we consider the five most common and important roles:
These individuals are well-versed in the guessing and building patterns of generative AI, and therefore know what input will result in the desired output. In other words, they know how to guide the AI so that it provides them with the text, image, or code needed in the most efficient time-frame.
Generative AI isn’t perfect. In fact, many AI models are known for being quite inaccurate, resulting in outcomes that range from mildly humorous to outright offensive. That’s why it is imperative that any company utilizing these models has a person reviewing all the content the AI creates before it is used for official business or released publicly.
A trainer is someone who refines the AI models in the pursuit of receiving the most accurate and relevant results possible. This person establishes parameters and works with multiple models so that the prompt and design engineers are inputting information into AI programs that have already been fine-tuned.
Just like any online technology or downloadable software, generative AI models can fall victim to glitches, hackers, and other security breaches. Having an expert in cybersecurity as it pertains to AI specifically is a must — especially for companies who may be using this technology in combination with sensitive or proprietary information.
One of the most glaring issues with generative AI is that many of these models receive the bulk of their information from a highly flawed and often unethical source—the internet. In addition to providing inaccurate data or offensive imagery, there are other ethical concerns associated with this new technology. Take the health care sector for example. Medical records and patient information must remain private, so using AI to process paperwork could be seen as a major security risk. These are the sorts of issues ethics managers would address.
For many of us, this latest advancement in AI technology really came as a surprise. We seemed to go from having frustratingly incompetent self check-out machines, to a chatbot so sophisticated, it may be capable of fooling Ivy League admissions counselors overnight.
If you’re feeling intimidated, unsure about your job prospects, or worried that your company won’t be able to keep up with all the progress, know this—you’re not alone, and CyberCoders can help.
With tens of thousands of jobs currently listed on our site, many of which in the technology sector, anyone looking for more future-proof career opportunities should start their search with us. Or maybe you’re a hiring manager looking to put together a team of skilled AI experts to usher you into the next era of workplace tech. If so, our reliable recruiters can find you the perfect candidates in a fraction of the time.
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