Essential AI Skills Everyone Should Have

Artificial intelligence (AI) is transforming our world, but for many of us it still feels out of reach if not downright intimidating. Some want to avoid it, fearing it will take jobs, while others are a little too eager to use it without fully understanding how it works.

The truth is, neither path leads to growth.

Whichever side of the great debate you're on, AI is an essential part of our future: “There will be two kinds of companies at the end of this decade.Those fully utilizing AI ... and those that are out of business.”

But, what if AI isn’t here to replace us, but to help us thrive?

A recent New York Times article supports this optimistic view: "2024's Nobel Prize in physics was awarded to two scientists who helped computers ‘learn’ closer to the way the human brain does. A day later, the Nobel Prize in Chemistry went to three researchers for using A.I. to solve a problem that stumped biologists for decades, yet could be solved by A.I. in minutes."

That's remarkable. The truth is, AI is a powerful tool that can amplify our strengths, streamline our work, and even enhance our quality of life. And while automation will undoubtedly replace some jobs, it will also create new opportunities in fields like STEM, creativity, and business.

According to Grand View Research, the global AI market is expected to grow from $207.9 billion in 2023 to $1,597 billion by 2030, at a compound annual growth rate (CAGR) of 39.4%. This explosive growth is fueled by businesses leveraging AI to drive efficiency, automate repetitive tasks, analyze massive data sets, and deliver personalized customer experiences.

In Skillsoft's IT Skills and Salary Report for 2024, we found that AI remains the top investment priority for IT decision-makers. But we also found that 65% say there are significant skill gaps across their teams. In other words, if you prioritize learning essential AI skills, employers are likely to prioritize hiring you. 

The message is clear: building essential AI skills isn’t just an individual advantage — it’s also a strategic imperative for organizations. Employees equipped with AI expertise can:

Streamline Operations: Automate repetitive tasks to save time and resources.
Enhance Innovation: Use AI for problem-solving and creative projects.
Drive Business Growth: Leverage AI for data-driven decision-making.

AI skills encompass a blend of technical expertise, critical thinking, and ethical understanding. These skills allow us to work effectively with AI tools, develop AI systems, and address both the challenges and opportunities AI presents.

Let's explore the ten essential AI skills everyone should have:

1. Machine Learning
   Machine learning helps design systems that learn and improve from data without specific instructions. Acquiring machine learning skills enables you to create predictive models, streamline operations, and derive insights from vast datasets — capabilities that are highly valuable across industries.
2. Natural Language Processing (NLP)
   NLP equips machines to understand and interact with human language, whether through text or speech. This technology powers applications like chatbots, virtual assistants, and language translation systems, making it indispensable in sectors like customer service and healthcare.
3. Deep Learning
   A specialized branch of machine learning, deep learning employs neural networks to mimic human decision-making processes. It’s the driving force behind innovations like image recognition, autonomous vehicles, and advanced language models, offering exciting opportunities in cutting-edge AI fields.
4. Computer Vision
   Computer vision gives machines the ability to interpret and analyze visual content such as images and videos. It’s foundational for technologies like facial recognition, object detection, and medical imaging, making it a sought-after skill in tech, healthcare, and security.
5. Data Science
   Data science blends statistics, coding, and business knowledge to uncover insights from complex datasets. It’s a cornerstone of AI, ensuring that systems are built on solid, data-driven foundations. Whether you’re developing AI models or driving business strategy, data science is essential.
6. Generative AI
   Generative AI focuses on creating content — like text, images, or even music. Tools like ChatGPT are reshaping industries by enabling faster content production and innovative creative solutions, revolutionizing fields like marketing, design, and entertainment.
7. Critical Thinking
   In addition to technical expertise, AI development relies on analytical thinking. The ability to assess data, challenge assumptions, and make informed decisions ensures that AI solutions are not only effective but also ethical and aligned with real-world needs.
8. AI Ethics
   As AI continues to grow in power and influence, understanding ethical principles is essential. Skills in AI ethics help address concerns around fairness, accountability, and transparency, promoting responsible use and preventing potential misuse of these technologies.
9. Programming
   Coding proficiency, particularly in languages like Python and R, is fundamental for building AI models and automating workflows. Even a basic understanding of programming empowers individuals to collaborate effectively with AI systems and create customized solutions.
10. AI Security
    AI systems need protection against cyber threats and vulnerabilities. Expertise in AI security ensures that systems remain robust, data stays secure, and ethical practices are upheld, especially as reliance on AI technology increases across industries.

You’re already using AI in your daily life, often without even realizing it. From personalized recommendations on streaming platforms to virtual assistants like Siri or Alexa, AI simplifies tasks and enhances convenience. If you can use these tools effortlessly, you’re more prepared than you think to start learning AI skills. Here are a few quick paths to learning more: 

• Online Courses: Enroll in AI-focused programs from top platforms.
• Workshops and Certifications: Participate in hands-on training sessions.
• On-the-Job Training: Take advantage of L&D at your workplace, and seek opportunities to use AI tools at work.
• Books and Research Papers: Stay updated on AI advancements.
• Open-Source Projects: Contribute to AI initiatives on platforms like GitHub.
• Networking and Communities: Join AI-focused groups to learn from your peers.

Future-Proof Your Teams with AI Skills Training

According to a recent Deloitte report, 94% of executives believe investment in AI will be critical to business success over the next five years. But our own C-Suite perspective report found that 57% of tech leaders say their team’s current skills in AI are low. Recruitment of new talent is expensive and time-consuming. Training and upskilling existing employees can help bridge the skills gap, giving your organization a competitive advantage.

Skillsoft’s AI-powered learning platform helps organizations identify and measure skill proficiencies to ensure their workforce stays relevant. The platform makes skilling personalized and accessible, offering a blend of self-paced courses, hands-on practice, virtual live online classes, and coaching to close skill gaps. 

When we embrace learning AI skills, we’re fueling the human curiosity and drive that have always propelled us forward. AI isn’t here to replace us; it’s here to empower us. By learning essential AI skills, we can position ourselves and our businesses for a future of innovation and growth.