2024 and Beyond: 8 Ways to Foster Generative AI Proficiency in 2024 

October 25, 2023


8 Ways to Foster Generative AI Proficiency in 2024

Systems for Artificial Intelligence have been rapidly developing in the last ten years. It has ushered in an era of transformation where jobs and tasks are done differently compared to how they once were accomplished. Actions that only people had the ability to do could now be completed by machines and computers. 

Although AI has brought many positive changes, people can’t help but feel scared of its negative implications for the labor market and other professional industries. Should you worry about AI? To fully adapt to the current world of work, it is important to remain calm and open-minded about these technological innovations.  

Instead of considering AI as a threat, consider learning ways to foster generative AI proficiency instead. 

AI-Powered Transformation 

AI is a form of technology programmed to learn and think just like humans do but with more robot-like efficiency. Well-made algorithms and large language models help AI tools analyze historical data, identify significant patterns, and generate results based on what they consume. 

According to predictions, the market size of AI is expected to continuously grow and can even reach 407 billion dollars by 2027. It also contributes an estimated 21 percent to the 2030 GDP of the United States.¹ 

Read More: Is Automation an Advantage or a Disadvantage to Employees? 

Everything About Generative AI 

Among the different tools powered by AI, generative AI has been gaining the most traction in recent years. It is a type of artificial intelligence that can generate content using machine learning and data analytics.  

It has the power to produce different types of content such as images, videos, and long-form texts. Activities that once needed humans for creative thinking could now be produced by technology alone. 

Read More: 2023 Guide to Workflow Optimization: The Best Tools and Tips 

Generative AI models work by using neutral networks in order to identify different patterns from large sets of data given for them to analyze. Once they’ve identified specific patterns, they can generate new data that forms the content they offer their users.  

With the ability to make high-quality products within just a few seconds, generative AI has made a name for itself in a number of industries. The following are examples of the industries generative AI has majorly impacted. 

Creative Industries 

The creative industries are a collective of working sectors that rely on creativity as their source of products and income. Some examples of creative forms professionals in these industries specialize in are arts, music, fashion, and design. 

Based on research, generative AI in the creative industries could automate up to 26 percent of tasks.² This could mean different things for different people in the industry. For some, it could provide them with the opportunity to finish projects they wouldn’t have been able to do alone.  

Imagine creating music using your original lyrics without the budget to hire professional instrument players. With AI, you can produce the instrumental sounds you need with a few prompts. However, from a different perspective, AI can be viewed as a threat since some companies use it as a replacement for employees or people who are professionally trained to create. 

Finance Industry 

Known as the sector that deals with matters related to money, the finance industry helps people by completing tasks such as investments, insurance, banking, and other financial services. People may think that this industry rarely uses generative AI since, unlike the creative sector, they aren’t known for products or content. 

In reality, the industry of finance is one of the sectors that greatly benefit from generative AI usage. Financial experts use it as a way to work more efficiently since it can help them analyze huge amounts of data and generate valuable insights.  

Aside from saving them time, this usage of generative AI also increases the accuracy of financial statements and reports. This results in improved information-based decision-making. 

As the knowledge of generative AI continues to widen, financial experts are continuously finding ways to use its tools to benefit their sector. Whether for optimizing sales or preventing fraudulent transactions, generative AI integration is something inevitable in their industry. 

Tech Industry 

Generative AI tools have unsurprisingly become a game-changer for tech experts. Although artificial intelligence can’t generate final products such as software, hardware, and other digital services, it can definitely help in their creation process. 

Using generative AI, tasks like writing codes and debugging have been made easier. It is also used by professionals in analyzing different sets of data to generate suggestions enabling faster development. 

Nowadays, mastering programming languages and possessing critical thinking skills for technology programming and creation are no longer enough. Since AI is becoming a consistent factor in the tech industry, it’s now necessary for experts to know how to use it. 

8 Ways to Foster Generative AI Proficiency 

AI has created a space for itself in many sectors of the working world. Instead of fearing its human-like capabilities, it’s more beneficial to learn how to benefit from it. Help your organization be more productive and eliminate any fears your employees might have by fostering generative AI proficiency within your ranks.  
This way, your people will think of AI as a tool to support their roles and not as their replacement. Consider the following actions to successfully equip your employees with AI proficiency: 

1. Be Updated with the Latest AI-Related News 

The best way to equip your people with the skills needed to master AI is to be aware of the latest developments in that field. As a leader, you need to be one of the first few people in your company to know about the latest tech and trends in AI. 

2. Understand Company Strengths and Weaknesses 

Before imparting AI skills to your team, it’s essential to pinpoint the precise skills your company requires. Begin by examining company data and evaluating your business’s strengths and weaknesses. Identify which processes or departments could benefit most from AI support. 

3. Choose Appropriate Tools and Algorithms to Use 

Teaching your team every AI tool in existence isn’t feasible. To boost efficiency with AI, opt for the most suitable tools and algorithms for their specific roles. By doing so, you guarantee that the tools they become proficient in will enhance their work speed and quality. 

For instance, if your team is focused on image recognition, concentrate on training them in relevant algorithms like Convolutional Neural Networks (CNNs) and provide access to specialized image recognition software. This targeted approach ensures your team can quickly and effectively apply AI in their tasks, like enhancing image search functionality on your website. 

4. Offer AI Training Programs 

Don’t expect your people to be future-ready without exerting the necessary effort to help them. To make your employees proficient in generative AI, offer training programs and workshops specific to the skills they need for their roles. Make them free and accessible for your team so they’ll feel encouraged to embrace Ai skills confidently. 

5. Compile AI Learning Resources 

Sometimes, employees can forget the facts and skills they learn through training. To allow them to recall their newly acquired skills, compile learning resources they can access at any time. You can also include materials they haven’t encountered yet but can help them develop their skills further.  

Read More: Build a Healthy Tech Workforce from Alternative Education Pathways 

6. Provide Opportunities to Experiment with AI 

Learning about AI is just the beginning; the real growth happens when employees apply their knowledge in practical settings. As an employer, foster a culture of experimentation and growth by providing opportunities for your team to engage in hands-on AI projects.  

This could involve assigning them to AI-centric tasks or encouraging them to propose and lead AI-related initiatives. These experiences empower your employees to put their AI skills to use, learn from their mistakes, and ultimately become proficient in this transformative technology. 

7. Invest in Upskilling and Reskilling Efforts 

AI is still quite a new concept in the world of work so the extent of its impact on roles in your industry is still not known. To remove any fear or doubts in your people while also helping them prepare for what the future may bring, it’s wise for you to invest in upskilling and reskilling programs.  

Provide opportunities for your people, especially those with responsibilities that AI can accomplish, to learn roles that can be created thanks to the integration of generative technology. Ensure your company’s success by taking care of your employees’ future in your industry. 

8. Cultivate a Culture of Learning 

It’s important to foster an environment where learning and growth are celebrated. Acknowledge and reward employees who take the initiative to improve their AI skills. Regularly provide constructive feedback to inspire continuous improvement.  

This not only motivates your team but also reinforces the importance of AI proficiency in your organization’s success. 


With Raso360, you’ll find people fully equipped and ready to face the era of AI technology. We can help you build a company of loyal, skilled, and reliable employees using our wide network of experts in different industries. 

Whether you’re looking for a temporary or a permanent hire, we have the people for you. Our ultimate goal is to make you proud. We put people to work in roles they love and strive in which leads to increased productivity and faster achievement of your organizational milestones. Let us help you hire future-ready individuals. Contact us today to start! 


1 Haan, Kathy. “24 Top AI Statistics And Trends In 2023.” Forbes Advisor, 25 Apr. 2023, www.forbes.com/advisor/business/ai-statistics/

2 Torkington, Simon. “How Might Generative AI Change Creative Jobs?” World Economic Forum, 9 May 2023, www.weforum.org/agenda/2023/05/generative-ai-creative-jobs/

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