In-Demand Technology Skills to Learn in 2023

When you’re exploring the idea of learning technology skills, it’s smart to consider which ones will be the most in-demand skills for the future. Tech is a broad field, and there are a lot of interesting directions you can go in. But it’s also a field that evolves rapidly, so you’ll want to keep your finger on the pulse of hot technologies and high-demand skills for the next 10 years.

Skill #1: Artificial Intelligence

AI is rapidly changing the landscape of work, making it an exciting time for programmers looking for something new. Hiring growth for AI practitioners grew 32% between 2019 and 2020. Because of its increasingly widespread adoption, AI specialists earned LinkedIn’s #1 emerging jobs spot in 2020 and is #15 on their 2021 list of “jobs on the rise.

There is crossover with machine learning here (which you’ll learn about next!), but the key difference is that AI is a broader concept pertaining to machines designed to act intelligently like humans, whereas machine learning relies on devices making sense of a specific set of data. Top skills to know within artificial intelligence include C++, Amazon Web Services (AWS) and Python.

Now that AI has become more mainstream (and businesses are implementing AI to keep up with demand during COVID-19 and the post-pandemic world), companies will be looking for people with specific areas of expertise in AI in 2022, such as natural language processing (NLP), automated speech recognition (ASR) and automation. Not only that, but according to a 2020 UiPath survey, 70% of C-level executives want even non-technical employees to have some automation and AI skills.

Skill #2: Machine Learning 

Machine learning is one of the most innovative and exciting fields moving into the future, making it one of the best skills to learn in 2022 (and one of the most lucrative to boot!). From Siri and Alexa to chatbots to predictive analysis to self-driving cars, there are a ton of uses for these futuristic hot technologies. Machine learning has even been used to help predict how infectious a patient with COVID-19 is likely to be and speed up drug development.

Those who begin taking online courses in machine learning now will still be getting in relatively early, as demand is only increasing from here. According to Algorithmia’s third annual survey, 76% of enterprises prioritized AI and machine learning over other IT initiatives in 2021. Common use cases for machine learning include recommender systems, generating customer insights and intelligence, and detecting fraud.

Skill #3: Data Science & Analytics

Two consistently in-demand tech skills within Big Data include data science and data analytics. Revenue from Big Data applications and analytics is projected to grow from $5.3B in 2018 to $19.4B in 2026. The industries investing most heavily in Big Data are banking, manufacturing, professional services (e.g., financial advisors, accounting firms) and the federal government, with their total investment estimated to be $274.3 billion in 2022.

59% of companies are adopting big data analytics to accelerate their decision-making and bring greater accuracy. This is part of why data science has earned a top spot on LinkedIn’s emerging jobs report all three years the report has been conducted.

Data analysis is the more entry-level skill, whereas data science gets more advanced, but the careers are still cousins. Industries needing data professionals span education, finance, health, software, and more.

Skill #4: Data Engineering 

Data engineering is separate from data science, but the former is what enables the latter to exist. Data engineers build the infrastructure and tools that data scientists rely on to conduct their own work.

Since 2015, the hiring growth rate of this technology job has increased by nearly 35% across a wide variety of industries. And according to Udemy’s November 2021 Workplace Learning Skills Index, data engineering is one of the top skills surging in the US (up 655%).

Skill #5: Data Visualization 

Data visualization is a way to help people understand the significance of data by placing it in a visual context. For instance, by turning spreadsheets or reports into charts and graphs that can be easily understood. This skill is commonly used by data scientists and data analysts, but can also be helpful in digital marketing roles.

Think of this career as a bridge between technical and non-technical roles. You’re taking the data collected by analysts and transforming it into a form anyone can understand. It’s one of the top digital skills to learn in 2022 because with all the data careers out there, companies need skilled data interpreters and communicators.

Skill #6: Network and Information Security (Cybersecurity)

For any company that collects customer information or deals with sensitive data of their own, keeping networks secure is paramount. 

When data breaches do happen, they can be big, newsworthy, and costly for the company to recover from. The number of data breaches in 2021 exceeded all of 2020’s breaches by October 2021 (that’s a 17% increase) and companies famously hacked in the past include Sony, LinkedIn, Chipotle, and others.

Research also shows that remote work was the source of up to 20% of cybersecurity attacks in 2020. In fact, 24% of employers in one survey had to spend money to address security incidents after shelter-in-place orders spurred the sudden necessity of telework.

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