The rapid advancement of artificial intelligence (AI) and automation has led to concerns about job displacement. Because machines are becoming increasingly capable of performing tasks that were once done by humans. However, there are still certain skills that AI is not yet able to replicate. And that will be in high demand in the future. In this article, we will discuss eight future-proof technical skills that AI can’t automate.
#1. Programming and Coding
AI can write code and develop programs. But it is still not capable of truly understanding and creating new, complex systems. It relies on existing databases and reference points and is not yet able to come up with truly original ideas. This is where human intervention is necessary for breakthroughs and more sophisticated lines of code.
For example, an AI can launch a search-based app. Though, it cannot create a fully functional social media platform with new features and systems without human input. Familiarizing oneself with different programming languages and understanding how they integrate with system architecture, software design, programming proficiency, and software security is crucial for staying relevant in the field of programming and software development.
Practicing and putting your knowledge to the test is also important. Launching different apps and sites, testing them on different coding platforms, and gathering successful projects to showcase to employers can demonstrate your skills. Also, make you stand out in the job market.
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#2. Marketing and Advertising
Technically, AI can be used to design extensive marketing campaigns. Several AI sites can generate images, draft text, and pull ad insights, among other tasks involved in preparing ads. All you would need to do is run and fund the campaign.
Nevertheless, relying solely on AI-generated assets for a full-scale marketing strategy is unlikely to generate positive results. To be successful, marketing campaigns need to include original and unique content that resonates with the target market. AI can only scrape information from third parties, and it likely won’t know the specific needs of your ideal buyer persona.
Instead of relying solely on AI, it is important to invest in your marketing assets. This includes creating original images, publishing unique sales copies, and following proven marketing strategies. This will help your brand stand out from the competition and catch the attention of your target market. With the number of ads that consumers receive across different platforms, it is crucial to make sure that your brand stands out and is not perceived as spammy or generic.
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#3. Content Writing
With the advancement of AI writing tools, some people believe that they can replace content writers and copywriters altogether. AI has come a long way, and some free platforms can generate a 1,000-word coherent, grammatically correct piece within two minutes. While a human writer may take around three hours for the same task.
Yet, AI is not able to fully replace human writers. AI language models like GPT-3 generate human-like phrases by analyzing and scraping millions of relevant, ranked web pages, but they can’t produce original, unique ideas. The text generated by AI may be coherent and grammatically correct, but it may also sound stiff and unoriginal.
AI-generated content may contain generic, overused advice that readers can find anywhere else. Human writers, on the other hand, can bring unique perspectives and insights. Moreover, they can create content that is both informative and engaging. They are also able to understand and cater to the target audience. And can adapt their writing style to suit different formats and platforms.
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#4. Blockchain Development
AI systems could run through smart contracts containing thousands of lines of code within minutes, while human coders would need days to finish the same task. However, AI technologies are not yet able to fully replace human coders. Tech companies still use humans to code complex algorithms, identify system flaws, try out beta products, and generate original ideas. Blockchain development being handed off to modern AI would only stifle creativity.
To stay relevant in the blockchain industry, it is important to level up your skills and learn new techniques. Instead of focusing on tasks that AI can already automate, try to focus on areas where AI is not yet advanced. For example, try reverse engineering widely used blockchains and practice applying your learnings through self-executed smart contracts. This will help you stay up-to-date with the latest developments in the field and make you a valuable asset to tech companies.
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#5. Website Building
AI systems can launch websites quickly and you can use AI-generated copies and stock photos to get your site up and running within a few hours, by simply dragging and dropping page elements into a site builder without the need to code anything. However, while templates and AI-generated assets can streamline the website-building process, they can also make the website look generic.
Many sites use these templates and AI-generated assets, and visitors may be less inclined to trust a business if its site looks like that of a spammy marketer. For this reason, brands will continue to hire website developers who are skilled in encoding useful page elements, creating unique layouts, and collaborating with creatives such as copywriters and graphic designers.
To stay relevant in the field of website development, it is important to learn how to code useful page elements, and practice coming up with unique layouts. And partner with creatives to create a website that stands out from the rest and is visually appealing to visitors.
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#6. Critical Thinking
AI can process large amounts of data and make decisions, but it can’t yet think critically in the way that humans can. The ability to analyze information, identify patterns, and make logical conclusions will always be valuable. In fields such as finance, law, and research, critical thinking is essential for making well-informed decisions.
#7. Graphic Designing
With the advent of AI art generators like DALL-E 2, even someone with no art experience can create seemingly professional pieces. These AI generators can create customized artwork based on text descriptions or images that you upload.
Although, it is important to note that AI-generated art is not original artwork. It is generated by scanning third-party images that match input descriptions. And as such, it is not suitable for commercial or editorial purposes. Most of the images used by AI are likely protected by copyright laws. Therefore you can’t use them for commercial purposes and you can’t claim ownership of them.
#8. Creativity
One of the most important skills that AI can’t automate is creativity. While AI can generate art and music, it is not yet able to truly be creative in the way that humans can. The ability to think outside the box and come up with new and unique ideas will always be in demand. In fields such as advertising, design, and product development, creativity is essential for developing new and innovative products and campaigns.
