The rise of the AI-native creator: Why digital skills matter more than ever

New research indicates that millions of individuals already have ideas waiting to be explored. The challenge now is whether they will acquire the AI and digital skills necessary to bring those ideas to life. The post The rise of the AI-native creator: Why digital skills matter more than ever appeared first on Digital Journal .

Artificial intelligence is changing the way people work, learn, and increasingly, create. While much of the public discussion around AI has focused on large language models, regulation and concerns over future job disruption, a quieter transformation is taking place: ordinary people are beginning to use AI tools to build products, automate processes and even create new sources of income. New research from All About Cookies and Base44 suggests that interest in acquiring AI-related skills has surged, with AI tools and prompt engineering among the most sought-after technical competencies.

The findings point to a broader trend that extends well beyond any single country—the emergence of what some analysts are calling the “ AI-native creator ”. From AI users to AI builders The first wave of generative AI adoption largely centred on consumption. Users experimented with chatbots, used AI to draft emails, summarise reports or generate images, and explored what the technology could achieve.

The next phase appears to be different. According to the research, many people now see AI not simply as a productivity assistant but as a platform for creation. A notable proportion of respondents reported using AI to help develop projects with income-generating potential.

The study also found that a majority of people would pursue an app, website or digital business idea if they possessed stronger technical skills. This represents a significant shift. Instead of viewing software creation as the exclusive domain of professional developers, many individuals now see AI as a bridge between ideas and execution.

One of the most interesting developments emerging from the AI ecosystem is the phenomenon known as vibe coding . The term refers to the process of creating applications, websites and automated workflows through conversational prompts rather than traditional programming. A user describes what they want, and the AI generates much of the necessary code.

The concept remains in its early stages, but its popularity has grown rapidly. The survey found that many respondents were familiar with the idea of vibe coding, although only a small proportion had actually tried it. This gap is revealing.

Awareness of the technology is spreading quickly, but practical adoption remains relatively limited. That pattern mirrors previous technological waves, where curiosity typically precedes widespread implementation. A skills gap, not an ideas gap One of the most striking findings concerns the relationship between creativity and technical capability.

The research indicates that many people already have ideas for apps, digital services or online businesses. The obstacle is not imagination, rather, it is confidence. Respondents frequently cited a lack of technical knowledge as the main barrier preventing them from turning concepts into reality.

Historically, creating a software product required substantial expertise in coding languages, databases, infrastructure and deployment. Even simple applications often involved steep learning curves. Generative AI is beginning to lower those barriers.

A person who lacks formal programming experience can now create prototypes, automate repetitive tasks, build websites and experiment with digital products using natural language prompts. While professional software engineering expertise remains essential for complex and secure applications, AI is expanding participation in the early stages of development. Implications for the future workforce The rise of AI-assisted creation has important implications for employment and workforce development.

For many years, digital skills initiatives focused primarily on coding education. Coding remains important, but employers increasingly value a broader range of capabilities, including understanding how to work effectively with AI systems and with developing strong prompting techniques. The distinction is important because future competitiveness may depend less on writing every line of code manually and more on directing AI systems effectively.

In many sectors, employees who understand how to integrate AI into day-to-day workflows are already reporting productivity improvements. Organisations increasingly view AI literacy as a business capability rather than a specialist technology skill. The findings also suggest that AI may significantly reshape entrepreneurship.

Traditionally, launching a technology business often required either technical founders or substantial financial resources to hire developers. AI-assisted development changes that equation. An entrepreneur can now use AI tools to create prototypes, test concepts, design websites, develop marketing material and automate administrative processes with far fewer resources than were previously required.

This does not eliminate the challenges of building a successful business. Market demand, customer acquisition, regulatory compliance and operational excellence remain critical. However, AI can lower the cost and complexity of moving from concept to working product.

Some observers have suggested that AI may democratise software development in the same way that personal computers democratised computing. That comparison may be optimistic, but there is no doubt that AI is reducing some traditional barriers. The key question is whether individuals will choose to develop the new capabilities required to take advantage of these tools.

The survey findings suggest considerable enthusiasm. Many respondents expressed a desire to learn new technical skills, particularly those relating to artificial intelligence and automation. What remains uncertain is how quickly formal education, professional training providers and employers can respond.

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