The Future of Work and Education: Exploring and Preparing for a Career in AI
- May 8
- 5 min read
Artificial intelligence (AI) is transforming and reshaping a variety of fields as it becomes more integrated into our workplaces and how we conduct our jobs. Many individuals utilize AI everyday, harnessing its capabilities to drive efficiency and productivity in their organizations. In fact, studies show that 66% of people currently use AI on a regular basis.
Did you know that you could pursue a career in AI? With the rise of ChatGPT and other generative AI technologies, as well as growing implementations of agentic AI and machine learning tools, many are developing skills that they find a passion for and entering positions that are centered around AI. In addition, universities are gradually introducing majors and degrees that fall under the AI umbrella.
Read on to discover more information on the future of work and education in relation to AI, and explore insights on job types if you are interested in venturing down the path to a career in AI.
Transforming Education with AI-Based Degrees
As AI grows within organizations around the world, demand for AI expertise is consistently on the rise. This has caused many different schools to introduce more degrees in AI and AI-related fields, shaping the future of education and work at the student level.
Take a look at some of these statistics regarding AI degrees across the U.S.:
304 U.S. institutions currently offer AI degrees, providing an option for students that wish to pursue a path in developing and utilizing intelligent technologies
AI master’s programs nearly doubled between 2022 and 2026, signalling the increasing demand for AI knowledge and skills
310 master’s AI programs are available in 2026, while there are also 193 bachelor’s programs
One example of a university that is introducing AI degrees is Northwestern University in Illinois, which is planning to add an AI major to its course offerings at the start of the 2026-27 academic year. It will be presented in the computer science department in Northwestern’s McCormick School of Engineering, allowing students to prepare for a future career in AI in fields such as technology, healthcare, finance, and government.
Not only will this new AI major strengthen students’ skills, but it will also focus on the human and societal dimensions of AI and how it intersects with law, society, and ethics.
Venturing Down an AI Career Path
With an AI degree, there are several different paths one can take to pursue a career in AI. Depending on the type of role and the organization, a degree may not even be necessary, though it always helps to show dedication and knowledge in your field.
While AI is creating many of these new careers, it is also transforming those that already exist—even ones you might already have. Consider exploring how AI might enhance your role in an effective manner in order to complement your skills or improve outcomes.
Some AI-related job positions include:
Machine Learning Engineer: Designs and deploys algorithms that enable machines to learn from data and make decisions, which is crucial for AI development. Common requirements for this job include programming skills, knowledge of deep learning frameworks, skills in data modeling, and skills in algorithm optimization.
AI Engineer: Develops AI applications and systems to enable organizations to drive efficiency and productivity; AI Engineers focus on technology that solves problems through AI-powered tools and processes. This role usually requires software engineering skills, knowledge in machine learning and data science, and deep learning expertise.
Data Scientist: Analyzes complex datasets to extract insights that enable more informed business decisions. This role involves developing predictive models to understand trends, patterns, and optimize operations. Common requirements include proficiency in programming languages such as Python, as well as skills in statistical analysis and data visualization.
AI Research Scientist: Focuses on researching, analyzing, and developing innovative algorithms that lead to advancements in intelligent technologies; this is typically in an academic setting where collaboration with other professionals is common. Requirements include advanced mathematical skills, expertise in deep learning and algorithm design, and programming knowledge.
Ways to Prepare for a Career in AI
While there is no one way to prepare for a career in AI, as there are many different paths to venture into, there are a few common factors to keep in mind. While the technical skills are crucial, there is much more to focus on when deciding to break into the AI field.
1. Choosing a Career Path
The first step is deciding which type of AI career you want to pursue, whether it be one of those mentioned above or another one completely different. AI comes with a large amount of roles that go into making it work, so narrowing it down to a few or to one is an important starting point.
2. Focus on Foundational Skills or Pursue a Degree
Going to school for AI is a great option for those passionate about building expertise in the field, but it is not always necessary. Start understanding the basics of programming languages like Python, either through online courses, self-study resources, or even through a friend or mentor that would be willing to teach you. In addition, begin developing mathematical, machine learning, and data handling skills.
3. Use AI Tools to Learn to Build Them
One way to further understand AI is to use it—use it to help with your coding projects or research. You can save your conversations with chat bots to refer to them later, helping you to understand the decision-making process. Gaining an understanding of these tools and how they work will help you build the skills you need to develop your own, whether it be a chat bot, image recognition programs, or other AI-powered applications. This will allow you to develop a portfolio to share with others.
4. Build a Network
Connecting with others in the field should be a top priority as you continue to develop your skills. This can be through online forums, groups, webinars, or even in-person meetups and workshops. Becoming a part of the community allows others to get to know you and your dedication to what you are pursuing.
5. Prepare a Resume and Focus on Your Interview
Highlight your knowledge and skills in your resume and ensure you include any projects and achievements that showcase your journey. Include a cover letter to explain why you are fit for the role, introducing yourself and your skills that you’ve worked hard to develop. Interviews may include coding or problem-solving tests or even discussions about what you have learned and the projects you have completed.
AI is transforming the future of work as we know it, introducing a vast amount of positions that correspond to the growing demand of AI expertise in a digital world. Our team at Sedna is keeping up with the growing trends in AI, leveraging the latest advancements to enable businesses to drive growth and efficiency enterprise-wide. Reach out to learn more about what we can do for your organization or visit our AI services page.
“Change is an opportunity to do something amazing.”
– Simon Sinek, Author and Inspirational Speaker
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