knowledge worker Expertise in artificial intelligence and machine learning is in high demand — which is not a surprising fact, given The Current Hype Around AI.
But that doesn’t necessarily mean software developers will benefit career-wise from pivoting to AI. On the contrary, it may be an intimidating time for developers to specialize in AI/ML programming. Here’s why.
Why are AI/ML developers in demand?
The main reason companies are keen to hire developers and other engineers with AI/ML expertise is pretty simple. Chat GPT, has emerged, and companies are actively participating in this effort. Organizations are looking for employees who can build next-generation AI solutions for their needs.
But that’s only part of the story.has been around for a long time Demand for AI/ML Specialists, and there is a shortage of qualified engineers to fill these roles. This trend goes back long before the rise of ChatGPT and other generative AI technologies.
Therefore, the demand for developers and other professionals with AI/ML expertise, although fueled by the generative AI craze, is not new.
AI/ML Development Career Risks
Given the long-standing demand for AI/ML specialists, learning AI/ML solutions may seem like a natural career strategy for developers. You might think that mastering software like TensorFlow and PyTorch, to name a few popular open source AI/ML tools, could be your ticket to a high-paying programming job.
In practice, however, specializing in AI/ML can be risky for several reasons.
One, the current surge of interest in AI/ML is likely to be a passing fad. While there are almost certainly companies eager to hire AI/ML specialists, it is unlikely that the high demand for professionals in this field will continue indefinitely. Specializing in AI/ML might help him find a job today, but it’s less clear whether he’ll be three, five, or seven years from now. By then, he will probably have more people with AI/ML development skills and less companies looking for AI/ML development skills. hire them
A second reason AI/ML developers are not necessarily in high demand is that so far, relatively few companies have been at the forefront of innovation in the AI ecosystem, and their Most of them have limited recruitment slots. AI/ML specialist. OpenAI, the company behind ChatGPT and currently the biggest name in the AI world, hundreds of employees. Big tech companies such as Amazon and Microsoft do have AI/ML development teams, but AI is not yet at the center of their businesses or product lines, and it is not clear that it will become so in the future. As such, the need for AI/ML is limited. Developer.
The point here is that the total number of AI/ML developer job vacancies over the next few years is likely to be in the low tens of thousands, not hundreds of thousands. Companies may say they are interested in AI, but relatively few companies are hiring AI/ML developers in large numbers.
Finally, AI solutions are much more likely to be made available through AI Models as a Service, reducing the need for most companies to hire their own AI/ML developers. My point here is that typical companies buy off-the-shelf solutions from vendors like OpenAI rather than building their own AI/ML applications and services in-house.
This has already happened with previous generations of AI technology. Get on-demand image recognition technology through cloud services such as: recognitionFor example, there’s no reason to think that it can’t happen with generative AI either. Few companies would build their own version of ChatGPT if they could use an API to interact with an off-the-shelf generative AI technology, ChatGPT.
Indeed, companies adopting AI as a service may need to have several AI/ML developers on staff to manage the use of the technology. But they don’t plan to build their own AI engine, so they don’t plan to hire a large team of AI/ML experts.
when is that do Learning AI/ML makes sense
After all, I’m not saying that no one specializes in AI/ML development right now. If you’re really passionate about AI/ML programming, go follow your dreams.
But don’t jump on the AI/ML bandwagon just because it’s a hot field right now. AI/ML programming jobs are harder to find than the hype suggests, and as generative AI loses its luster and the tech industry moves on to the next big job, we find the demand for these roles to begin to wane. I guess.
About the author
Christopher Tozzi is a technology analyst with expertise in cloud computing, application development, open source software, virtualization and containers. He has also lectured at major universities in the Albany, New York area. His book For Fun and Profit: A History of the Free and Open Source Software Revolution was published by his MIT Press.
