Industry Insights
| • 11 min readLearn about AI jobs and how they are defining the future of the human workforce.
The future of human work is changing, and AI jobs are at the center of the conversation. What are AI jobs and what are the future AI career opportunities that present themselves to our human workforce? In simple terms, an AI job involves humans working alongside artificial intelligence to create better outcomes. This collaboration will become the future of work, where humans and computers come together to solve some of humanities largest problems.
AI jobs are a new concept, well sort of. Were you old enough to remember when the Internet hit mass popularity in the late 90s/early 2000s? Mainstream media and most people were critical about how the Internet would be the downfall for society. The new concept of e-mail was thought to be a joke and would never replace physical mail. There was a lot of fear, misinformation, and a variety of very strong, uninformed opinions. Society is experiencing a similar challenge that we saw over 25 years ago, as the Internet became a mainstream discussion. Artificial Intelligence technologies are a layer on top of the Internet, maybe even considered a layer of its own that’s here to stay. AI will change how society works together and the entire concept of work will be different in just a matter of years. We will discuss what will be required for developing an AI career path and learn why AI skills are so important to land an awesome AI job.
AI jobs are jobs performed by humans that involve the creation, implementation, or management of artificial intelligence systems, tools, or algorithms.
So if you’re working with AI as a primary function of your job role, regardless of industry, you are working an AI job. These jobs are designed to support AI to think, learn, reason, and solve problems like humans do. AI jobs also focus on building, optimizing, and using AI to solve complex problems, automate tasks, and enhance decision-making processes. Humans working with AI are “AI Jobs” and human working without AI are simply jobs.
With today’s traditional knowledge workforce, jobs are mostly focused on an individual’s own manual skillset. How much they can think, read, and act to create productivity. These jobs require completing tasks that take time and effort. The individual worker must know all the information for their job and how to find it. Then they need to understand every skill needed on how to do completes tasks on their own. Humans were required to know everything and do everything! This is all changing.
The AI workforce, is like training machines to take care of work tasks faster and smarter. For example, today a lawyer might spend hours or days reviewing books, case notes, studies, and legal documents to find relevant laws, precedents, or rulings to understand how to handle each case. Now, instead of spending hours or days digging through paperwork, lawyers in the AI workforce can focus more on strategy, negotiations, and creative problem-solving. The AI they use will be like having a legal team on steroids, performing the heavy lifting to discover all the details from previous cases, while the lawyer focuses on how to best use that information.
While human lawyers probably won’t be disappearing anytime soon, you can see that AI careers will be all about teaching the computer to do tasks for you, and it gets better every time it learns. It’s like having a robot intern that never sleeps and constantly gets smarter as you give it more work. So you see the new AI talent workforce isn’t about replacing people. It’s about helping people working with AI tools to become faster, more creative, and more innovative throughout their career.
You might have heard the phrase “AI won’t replace humans, humans with AI will replace humans without AI.” But what’s really happening is that AI is creating a new category of jobs where people work alongside the machines. These are AI jobs.
Just like how kids today are born into a world of smartphones and the Internet, the future workforce will be born into a world of AI. Working with AI will be common for many if not all humans in the future.
It’s a shift from our old-school way of doing things to the “next-gen” version of the human workforce. Where people with AI skills like programming, data science, or even just knowing how to interact with AI tools will be the ones leading the future. Imagine an artist with a magic paintbrush that paints whatever they think of. That’s what it’s like: AI jobs are giving people these “magic tools” to be more productive and inventive.
As AI jobs continue to grow each week, this represents a paradigm shift in how human workers think about employment. Unlike traditional tech roles, which often involve working with predefined systems and software, AI jobs are dynamic. They require constant interaction with AI systems that learn, reconfigure, and adapt. These new career roles are about harnessing the power of AI to innovate, optimize, and enhance processes across various industries and perspectives.
The core difference between an AI job and a traditional tech role lies in the level of integration with AI technologies. While a traditional software engineer might build and maintain code, an AI engineer collaborates with Large Language Models LLMs and machine learning models, fine-tuning them to improve their performance and relevance in our world. AI jobs are about synergy—where humans and machines work together to achieve outcomes that neither could accomplish alone. That is the future we will all be a part of very soon.
The world is changing wether we like it or not. Today AI is a problem in many school systems, while other school systems are embracing AI across campus. AI is being shamed at many organizations because it isn’t perfect, while new startups are changing the world with the novel technology. The facts are that AI is here to stay and will change the entire world as we know it. We all just can’t all see it yet.
Today, it’s easy to blame AI for hallucinations and mistakes. Any new technology always has its fair share of challenges. But that is what makes it better. In order to develop the future AI talent and career paths, we need to shift our mindset in a new direction. We have to understand that AI innovations will take many years to catch up, but when they do, everyone will have access. The commoditization of technology will enable many more individuals to pursue a career path in AI that will lead to extraordinary opportunities and outcomes for society.
There are thousands of AI job titles, with roles that vary significantly depending on the industry and specific company needs. Here are some of the most common AI job titles and a snapshot of their daily responsibilities:
• AI Engineer: Focuses on developing AI models, integrating them into applications, and ensuring they perform optimally.
• Machine Learning Engineer: Works closely with data to train and refine machine learning models, making them smarter and more efficient over time.
• AI Product Manager: Oversees the development and implementation of AI-driven products, bridging the gap between technical teams and business objectives.
• Data Scientist: Analyzes complex data sets to extract valuable insights, often using AI to predict trends and inform decision making.
• Technical Product Manager: Similar to an AI Product Manager, but with a stronger emphasis on the technical aspects of AI integration within products.
• Director of AI/ML Platforms: Leads teams to build and maintain AI and machine learning platforms, ensuring they meet organizational needs.
• Engineering Manager: Manages engineering teams that develop AI powered technologies, focusing on both technical rigor and team productivity.
• Data Engineer: Designs and maintains the infrastructure that allows data to be stored, accessed, and analyzed efficiently.
Although this isn’t an exhaustive list of AI job titles, it showcases that most early AI jobs are primarily focused on product and engineering capabilities. There are new job titles being created every week because of AI. We will see AI jobs appearing in finance, healthcare, cybersecurity, marketing, accounting, logisitics, legal, and virtually every industry as we know it.
While AI is making an impact across virtually every sector we know, some industries are at the forefront of AI job demand. Notably, the technology sector, particularly in Software as a Service (SaaS), is experiencing tremendous growth with AI technologies. Large companies within this space are increasingly recognizing the value of AI in enhancing their offerings and driving innovation. Think of the big players like Microsoft, Amazon, Tesla, as well as the smaller AI startups.
Why SaaS? Because these companies are constantly seeking ways to optimize their software platforms, improve customer experiences, and stay ahead in a competitive market. AI provides the tools needed to analyze vast amounts of data, personalize services, and predict future capabilities that drive more demand.
But it’s not just tech companies that are riding the AI wave. Healthcare, finance, retail, and manufacturing are also sectors where AI jobs are becoming essential. In healthcare, AI is being used for everything from proactive diagnostics to personalized treatment plans. In finance, AI helps with fraud detection, pattern recognition, and investment strategies. Retail companies are leveraging AI for inventory management and customer personalization, while manufacturing is using AI to optimize production lines and supply chains.
To be competitive in the AI job market, candidates need a unique set of skills and qualifications that go beyond the traditional tech toolkit. One of the most critical AI skills to know is prompt engineering. Prompting Engineering or prompting, is the ability to interact with various Generative AI models effectively by crafting precise, contextually relevant prompts that guide AI to produce the desired output. Generative AI LLMs from companies like OpenAI, Google, and Anthropic, are just the start. Millions of users depend on these generative AI platforms to create and manage their workflows using a combination of critical thinking and prompt engineering.
Additionally, AI jobs often require a deep understanding of machine learning algorithms, proficiency in programming languages like Python, and a solid grasp of data analysis techniques. Unlike other tech roles, a career in AI also demands an even more creative mindset. AI Engineers and data scientists must think outside the box to apply Artificial Intelligence tools in innovative ways, often solving problems that haven’t been tackled before.
Teams in AI roles will look different too. Instead of large teams, companies will most likely rely on smaller, highly skilled groups that leverage AI to amplify their productivity. The reduction of team size is driven by quality over quantity, where a few well equipped and highly skilled professionals can achieve what was once required by a much larger team.
Looking ahead, the future of AI jobs will evolve dramatically over the next 5 to 10 years. For employers, the challenge will be finding the right AI talent, individuals who not only understand AI but can also apply AI skills strategically within their business role. This will require a robust matchmaking process, where both the needs of the company and the skills of the candidate are perfectly aligned.
As AI continues to integrate into various job functions, many traditional roles will transform into AI jobs. This means that interacting with technology will increasingly require a deep knowledge of AI tools and systems. The ability to work with AI will no longer be a niche skill but a fundamental requirement in many professions.
For candidates, staying ahead of the curve means continuously upgrading skills and staying informed about the latest AI trends and tools. As AI technologies evolve, so too must the skills of those who work with them. The future of AI jobs is not just about keeping up with technology but leading the charge in how it’s used to create value.
AI jobs represent more than just a new type of employment. They signify a fundamental shift in how we will approach work as a future society. As AI technologies continue to get soaked up across various industries, the demand for skilled AI talent will remain in scarce. Those who can work with generative AI will only grow their careers. Whether you’re a candidate looking to enter the field or an organization seeking to leverage AI, understanding what an AI job entails is the first step towards success.
The future of work is here, and it’s powered by AI. Now is the time to embrace this change, develop the necessary AI skills, and position yourself as part of the new workforce. The AI enabled workforce.
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