Generative AI adoption within enterprises happened so rapidly that there was no time to build a robust training system that supported employees to use gen AI tools.
Now the dust has settled, it may be time to consider how employees are using generative AI tools for content creation and where corporate learning is still falling behind.
The greatest benefit of gen AI tools like ChatGPT, Gemini, and MS Copilot is their ease of use. However, this is quickly becoming their greatest limitation, as anyone can use them, whether they have knowledge of the function for which they are using them or not, often negatively affecting the quality of the output.
This article encourages a rethink of how employees use gen AI for content creation, to move toward a more intelligent approach, and to explore where corporate learning is falling behind.
The Growing Reliance on Smart Content Tools
If organizations want to compete on a level playing field, they need to utilize generative AI tools. These tools excel at many processes, such as content creation for marketing, recruitment, and employee communication and engagement. The problem is that many employees are not optimizing the quality of their content as they have never received training due to a rushed gen AI adoption.
One of the most overlooked aspects of generative AI tools is that they hallucinate and can make errors, as humans do. The reliance on smart content tools has led to these errors continuing because employees have not had robust training before they began using the tools and informed of the tools’ limitations. Instructional designers now need to check accuracy and tone of voice for gen AI content, causing more time delay and expense.
The pressures for fast content that saves time and money create further challenges for gen AI tool training, which gets deprioritised, but organizations need to consider this training to optimize content and close the gen AI content skills training gap.
Where Skill Gaps Are Slowing Teams And How to Fill Them
So, where exactly are the skills gaps that are slowing down the learning of your teams? A lack of knowledge on AI creates challenges for employees who have traditional knowledge but don’t know how to apply it within the context of gen AI content creation. But there are ways to fill these training gaps.
Lack Of Content-Building Knowledge
One of the biggest challenges that creates skill gaps is that prompt engineers, the name for employees who use gen AI tools to make content, lack prompt engineering skills, knowledge of AI editing workflow, and structured content modeling skills.
How to fill the gap
Hire content editors with gen AI tool experience to train staff on the basics of how gen AI tools work and the necessity to ensure the quality of content by entering the best prompts and using a checklist to edit when the content is outputted by the tools.
Merging Technical and Creative Knowledge
Some prompt engineers hold the technical knowledge on the traditional side of their role, but aren’t prepared to use this knowledge effectively within the creative side of the AI content creation process.
How to fill the gap
Hire content creators, AI developers, and PR people to meet and discuss the best approaches to build training programs that help employees to merge their technical and creative knowledge and allow them to build content using gen AI tools that excel for any purpose.
A Lack Of Quality Assurance
Employees are often not aware that AI is not perfect and that hallucinations and errors are common. These errors can cause PR challenges that leaders must avoid to maintain a positive public perception.
How to fill the gap
Build a checklist that employees can use to ensure that content reaches the same quality as if a human had written it from scratch. Include grammar, tone, accuracy, and purposes, and update the list frequently based on the latest data for gen AI errors.
Be vigilant of these skill gaps and take the steps above to fill them.
Why Digital Advertising Skills Now Matter
Skills in audience targeting and campaign performance review are essential stages in the process of teaching gen AI content writing skills in cross channel marketing intelligence
The emphasis should always be on teaching skills to target specific audiences and building content that supports campaign performance to help reach employees effectively.
It’s also essential to support employees to understand the core significance of cross channel marketing intelligence and how to collect and feed it into gen AI tools while building content that reaches audiences.
Conclusion: Closing the Intelligent Content Creation Gap
It’s crucial to teach gen AI content skills at a time when these tools are embedded and standard parts of enterprise processes.
Acknowledge the importance of training gaps in your workforce, such as the challenge to merge technical and creative knowledge and a lack of quality assurance skills. Fill these gaps by hiring content writers and gen AI experts to build training programs that teach employees how to optimize gen AI tools while embedding their knowledge.
By following these approaches, you will soon find that the future belongs to teams that evolve alongside intelligent design tools that fulfil aims thanks to robust gen AI content training.
