Future-Proof Your Career by Reskilling in the AI Era

🧑‍💻 40% of workers will have to reskill in the next three years due to AI

A study by IBM reveals that 40% of the global workforce will need to reskill within the next three years due to the implementation of AI technologies. However, the study also suggests that AI is more likely to augment roles rather than replace them. The skill sets that are becoming more critical are shifting from technical skills like STEM to people skills such as team management and adaptability.

Skills Gap Analysis

Companies are becoming well aware of the next-gen skills that they will be needing on their workforce in a world where AI is implemented in almost every corner of their business. LinkedIn’s Future of Work Report outlines the trends they’re seeing across users on their platform, and they’ve seen a 75% increase each month of AI-related terms being added to member’s profiles.

Benefits of Reskilling

While the advantages of reskilling are often framed from an organizational standpoint—emphasizing higher levels of employee engagement and reduced turnover rates—there's much to gain on the individual level too.

Investing in your own skillset can:

• Propel your career objectives forward

• Keep you relevant in a competitive employment landscape

• Make you eligible for career advancements

• Open doors to new employment opportunities

• Elevate your earning potential

• Foster ongoing personal growth

So How Do We Reskill for this New Future?

1. Get Certified

Certifications can demonstrate expertise in a particular area and make you more desirable as a candidate. Here are some places to get started with certifications:

• Coursera - Google has a free ‘Introduction to Generative AI’ course on there that may be a good place to start.

• University Certifications - You’ll find that many universities will offer online, cohort-based certification programs related to AI. One example is this one at Berkeley called ‘Artificial Intelligence: Business Strategies and Applications’. They are a bit more expensive than a Coursera course, but they will carry much more weight.

2. Start Building Something

One of, if not the best, ways to learn something is direct application of the concept. There is a vast sea of tools out there that make building with AI easier than ever. By the end of it all, you’ll have a case study that you can point at to validate your skill set. Here some ways to start building:

• Zapier Interfaces - This is one of the quickest ways to get a GPT-powered tool up and running to test in front of users

• Chatbase - Instead of building your own Chatbot, just connect various data sources that will serve as its unique knowledge base

• BHuman - Generate a Voice or Face Clone for any use case you can imagine such as customer support, marketing campaigns and more.

3. Be In the Know with AI News & Trends

Whether they’re AI Twitter influencers, AI blogs, or AI newsletters, understanding what’s changing in the workplace will give you the leverage you need to stay relevant. Here are are some of the top AI newsletters and publications to get you started:

• You Probably Need a Robot

• MarTechPost

• Google AI Blog

To wrap this up as clearly as possible, don’t leave this one to chance. AI has some serious staying power and do what you can so that your future self will thank you.

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