What digital skills should I learn in 2022 and 2023

The digital landscape is changing fast. New technologies continue to emerge on an almost daily basis, creating new opportunities for businesses and individuals alike. In the coming years, this trend is set to accelerate even further, with developments in artificial intelligence, virtual reality, augmented reality, blockchain technology, and many other related fields all promising to have a significant impact on our day-to-day lives.

To stay ahead of the curve and take advantage of these innovations as early as possible, it’s important to keep your skills up-to-date. Even if you’re working in a company that isn’t directly involved in the digital industry right now, there’s no telling where your career might take you in the future. To get you started on that path as quickly as possible, we’ve compiled a list of some of the top emerging digital skills that will be worth investing in over the next couple of years.

In this article, we explore the digital skills that you should learn in 2022 and 2023. We will look at the job market today and how it’s going to change over the next few years. You see, AI, AR, VR, and other new technologies are forcing people to learn new skills if they want to stay relevant in their field. This is why there’s a growing demand for freelancers with tech skills. This article will give you an overview of the current state of things and explain how things are going to change in the coming years. Let’s dive into it!

What is the current state of the job market?

1. Job Growth: The U.S. economy added 263,000 jobs in April 2019, according to the Bureau of Labor Statistics (BLS). That was well above expectations of 170,000 jobs added. In March, employment increased by 211,000 jobs. Since President Trump took office, unemployment has dropped from 4.8 percent to 3.9 percent.
2. Unemployment Rate: The unemployment rate fell from 4.8 percent in January to 4.7 percent in February. The rate has fallen from 5.0 percent in December 2018.
3. Employment Change: The number of employed people has risen by 2.5 million since January 2017. There were 114,000 fewer unemployed workers than in January 2017.
4. Women’s Workforce Participation: The labor force participation rate for women declined slightly to 62.9 percent in April 2019, down from 63.1 percent in March. The female workforce participation rate has been declining since 2014. The rate peaked at 66.6 percent in 1979.
5. Youth Unemployment: The youth unemployment rate dropped to 12.6 percent in April 2019, the lowest level since September 2008, when the Great Recession began. The youth unemployment rate has declined steadily since hitting 20.0 percent in October 2009.
6. Average Weekly Earnings: Average weekly earnings have risen by 1.7 percent over the past year, after rising 0.8 percent in 2018. Average hourly earnings have risen by 3.2 percent over the last year. A 10-year high of $26.78 per hour was reached in May 2018.
7. Wages & Salaries: Private sector wages and salaries grew by 3.0 percent over the past year. Over the same period, they grew by 8.8 percent in the public sector.
8. Median Household Income: The median household income in the United States rose by 6.6 percent between 2016 and 2017. However, it decreased by 0.3 percent between 2017 and 2018. The increase was driven by increases in both personal income and corporate profits.
9. Poverty Rate: The poverty rate declined from 11.7 percent in 2015 to 9.5 percent in 2018. The poverty rate has declined since peaking at 14.7 percent in 2013.
10. Black/African American Unemployment: The unemployment rate among black Americans dropped from 13.5 percent in January 2018 to 12.5 percent in April 2019. It is the lowest unemployment rate since August 2007.
11. Hispanic/Latino Unemployment: Hispanic/Latino unemployment remained steady at 7.0 percent in April 2019.
12. Asian/Pacific Islander Unemployment: Asian/Pacific Islanders’ unemployment rose from 3.5 percent in January to 4 percent in April.
13. White non-Hispanic unemployment remains close to its historic low of 3.5 percent.

What skills will be in demand in 2022?

1. Data Science

Data science is a relatively new field of study that involves the use of data analysis, statistics, programming, machine learning, visualization, and mathematics to extract knowledge from raw data. In the future, companies will need people who have the skills to work with big data and analyze information to make decisions.

2. Artificial Intelligence (AI)

Artificial intelligence is the branch of computer science dealing with the design and construction of intelligent machines. As technology continues to advance, AI will become increasingly useful and prevalent in many industries. Companies that want to stay competitive should consider investing in AI-related education and training programs.

3. Cybersecurity

Cybersecurity is the practice of protecting computers and networks from malicious attacks. More and more businesses are becoming targets of cyberattacks each year. To protect themselves from these threats, organizations need to invest in cybersecurity education and training programs.

4. Machine Learning

Machine learning is a type of artificial intelligence where software learns how to perform tasks without being explicitly programmed. Many modern technologies, including self-driving cars, voice recognition systems, and search engines, are powered by machine learning algorithms. Organizations looking to remain relevant should consider investing in related education and training programs.

5. Blockchain Technology

The foundation of cryptocurrencies like Bitcoin is blockchain technology. Cryptocurrencies provide secure peer-to-peer transactions while maintaining anonymity. In the future, blockchain technology could play a major role in business processes across many industries. Businesses interested in leveraging blockchain technology should consider investing in courses focused on the basics of cryptocurrency.

6. Robotics

Robotics is the science of designing robots. Robots are automated devices that can move around unassisted. There are two primary types of robotics: industrial and consumer. Industrial robots are designed for heavy industry applications, whereas consumer robots are built for household uses. Companies that want to keep up with the competition should consider investing in robotics-related educational programs.

7. Quantum Computing

Quantum computing is based on the principle of quantum mechanics, which explains how subatomic particles behave at the atomic level. Quantum computing harnesses the power of superposition and entanglement to solve certain problems exponentially faster than traditional computers. In the future, quantum computers may be able to break current encryption methods, making them vulnerable to hackers. Companies that want to remain secure should consider investing in quantum computing-related educational programs.

AI-related jobs in 2022

Artificial intelligence is a technology that allows computers to learn, access data, and perform tasks that normally require human intelligence. AI has already been used in many industries to increase efficiency and reduce costs. This technology is still relatively new, so there won’t be ton of AI-related jobs in 2022. However, as AI technology and theory improve, we will see more businesses using AI. This means that there will be an increasing demand for AI-related jobs.

Conclusion

In short, the job market will be a seller’s market as we move towards 2022. This means that you need to be prepared with extra skills and experience if you want to be successful in your job hunt. There will be a growing demand for tech skills and jobs related to VR, AR, cloud computing, and AI. If you want to stay relevant in your field, you need to learn how to work with these technologies.