What skills are most important in a world of Gen AI?

What skills are most important in a world of Gen AI?

Generative artificial intelligence, or Gen AI, is certainly a contender for the most disruptive technology of the decade. This fast-growing tech has practically levelled the skills-based playing field, empowering workers and even taking over creative tasks from article writing to design.

There are fears that Gen AI will eventually replace humans in certain roles, but given the current state of this technology this may not be the case in the foreseeable future. For now, generative AI is a tool that can make work a lot easier, although your everyday worker may have to learn new skills to maximise Gen AI’s potential. 

The rise of Gen AI

Generative AI is an algorithm that uses generative models to create new content in response to a human user’s prompt. Gen AI draws from patterns and structures learned from extensive data training to create specific types of content. 

ChatGPT is perhaps the most well-known Gen AI software to date. Businesses typically use it to create marketing content such as blog articles, newsletters and outreach emails. Software engineers also use it to create programs for rapid development, allowing them to focus more on core tasks such as problem-solving and creative coding. 

That’s not saying that Gen AI is limited to text-based outputs. AI models such as Dall-E, MidJourney, and – to an extent – ChatGPT can generate convincing image, video and audio files. 

Skills for success in a Gen AI world

Generative AI is a highly capable content creation technology and is getting better each day, but is it out to take people’s jobs? Certainly not; workers can thrive, regardless, and McKinsey has identified two key skills needed to be successful in the age of Gen AI.

Cognitive skills

These skills require higher-level thinking lacking in highly logical Gen AI models. There are two that come to mind in this regard, namely:

  • Critical thinking
    This is essential when working with generative AI. It gives you the keen eye to evaluate AI-generated content, assess its quality and make the necessary improvements and corrections. 
  • Continuous learning
    This implies the willingness to constantly absorb new knowledge, upskilling and reskilling in such a way that you can keep up with the constantly evolving generative AI technologies. 

Social–emotional skills

These skills set human workers apart from even the smartest Gen AI model, these being derived from our experiences with other people and our ability to feel emotions. That said, these social-emotional skills are the most relevant to the discussion of generative AI:

  • Self-awareness
    To embrace Gen AI technology, it is necessary to accept the fact that some tasks are best left to an algorithm that can process vast amounts of information and turn them into human-comprehensible content in seconds. This degree of self-awareness will help you know what to delegate to generative AI so you can focus on work that requires higher-level cognitive skills. 
  • Adaptability and resilience
    Generative AI is constantly changing, so it is important that its users can adapt to any new updates on the fly. Sometimes, these changes can disrupt existing workflows, so resilient workers have an edge. 
  • Relationship-building
    This is especially important for people working in a team equipped with generative AI tools. Good interpersonal relations skills facilitate effective communication, collaboration, and teamwork needed to achieve the organisation’s goals with the help of Gen AI. 

The human-AI partnership

We should not worry unduly about generative AI as a threat to job security. By mastering the skills listed above, Gen AI becomes a partner that lets you grow your capabilities and be better at what you’re already good at. 

About Sam P

EnterpriseZone Staff Writer

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