Artificial Intelligence is not the enemy. Despite the legitimate fears surrounding its misuse and its looming potential to replace the human workforce, there are many real-world applications of generative AI for employees and employers alike. Creative use of AI in the workplace can help employees get familiar with the technology while inhibiting their apprehension about working with it. Most organizations have a very preliminary understanding of AI and its capability to generate texts and images, but the content that can be created can serve as a springboard for a deeper understanding of any project. Helping employees get comfortable with generative AI and encouraging them to explore its uses can help the organization uncover new strategies that will be beneficial for the entire organization.
Promoting the use of generative AI for employees is in everyone’s best interest. Generative AI has many applications that are considerably more beneficial than just using it to create content for the company blog. Organizations have started growing more comfortable with using AI in the hiring process, and many HRIS systems have embraced AI within their services as well. These systematic applications are heartening to see, but employees rarely have the opportunity to witness them in action and get familiar with their uses. Generative AI has not evolved to a stage where the content generated matches the quality of something that is made by an actual worker, so it is impractical to use its results without altering or reviewing them first. However, the technology has reached a point where it can create first drafts and samples of content that allow an employee to cut down on the time spent manually writing out the content. This helps them invest time and energy in perfecting the content instead.
Motivate Employees to Rethink Their Tasks
Employees are the ones with the best understanding of what their everyday tasks involve. In order to push them to think about the creative uses of AI in the workplace, employees should first be encouraged to evaluate their responsibilities and chart out the tasks that involve the most amount of work or those that are the most repetitive. By understanding the repetitiveness or complexity of their tasks, they can better identify how AI could be beneficial. For example, if these employees have to frequently track meetings and spend a lot of time summarizing these sessions to create records of what was discussed, there are specific AI tools that can generate meeting notes on key points that were finalized during the meeting.
Allowing employees to be hands-on with these AI tools can significantly reduce time spent on these repetitive tasks. Although the employee may still have to read through the notes to ensure they are accurate, this can be much quicker than writing and rewriting everything from scratch. Encouraging such engagements not only optimizes time and effort but also demonstrates the potential of AI in enhancing productivity. Moreover, integrating AI into processes that are otherwise mundane can make the workday more dynamic and engaging for employees.
Creating a Framework for Projects and Product Descriptions
AI-generated content should be avoided on websites and other platforms that represent the company, but these tools can be very useful for generating representations of ideas for internal communications. AI tools can take content and present it in a desired format; as such, these tools can assist employees in creating clear and concise project outlines and product descriptions, utilizing formats and design ideas that they might not have thought of before. This allows for a more structured presentation of ideas that is easier for teams to understand and build upon.
The structured formats and design ideas can help employees put their thoughts together in a clearer and more concise manner, even using images to represent concepts that they might not be able to explain as efficiently. Getting the hang of AI tools for this purpose can be tricky, but once employees devise their own prompts and instructions, their other tasks can move at a much faster pace. This integration of AI in creating frameworks can lead to more effective and efficient internal communication, reducing the time spent on conceptualizing and increasing the time available for execution.
Improving the Onboarding Experience
Another way to optimize generative AI for employees is to embrace it as a part of the onboarding process. New hires are regularly confronted by huge piles of information about the organization and their role, and understanding and remembering all of it can be difficult. AI tools trained on company data can be used as an assistant to help clarify certain concepts to employees and summon data that the employee is unsure about. These tools can act as a constant source of information and reassurance for new hires as they navigate their early days in the company.
Managers, mentors, and coworkers still need to be actively involved in the onboarding process to help the employee understand their responsibilities, but they are not always available immediately. While a new hire waits to hear back from their manager, they can occasionally turn to these AI tools to review content again and go over information whenever they need it during the first few months of settling in. This ensures that new employees have access to reliable information without feeling overwhelmed, fostering a smoother and more supportive onboarding experience.
Examining Large Sets of Data
AI tools can be very efficient at processing data quickly and providing it back to the user in smaller chunks that are easier to consume. Employees who are moved to a new project or have to catch up to what the rest of the team is working on can benefit from AI tools that are able to break down concepts for them in the short term, summarizing key data points that they can use to enhance their understanding of the documents. The AI can classify content, create topics, design activities, and more, offering considerable aid in managing extensive information.
The AI can classify the content, create topics, design activities, etc. These tools are capable of determining actionable points from the data, and employees can use them to create guidelines and timelines, breaking a large volume of data into pieces that can be distributed throughout the team. This way, generative AI can improve their productivity and help them work with the data rather than forcing them to comb through it multiple times before they can do anything with it. By leveraging AI in data examination, employees can spend more time on deriving insights and less time on data preparation.
Detecting Mistakes and Potential Risks
Artificial Intelligence isn’t an enemy. Despite legitimate fears about its misuse and potential to replace human jobs, AI has many real-world benefits for both employees and employers. Integrating AI creatively in the workplace helps employees become more comfortable with the technology, easing their fears. Most organizations still have a basic understanding of AI’s capabilities, knowing it can generate texts and images. However, this content can serve as a foundation for deeper project insights. Encouraging employees to explore generative AI can help the organization discover new beneficial strategies.
Using generative AI benefits everyone. Its applications go beyond just creating blog content. Companies are becoming more comfortable using AI in hiring processes, and many HRIS systems now incorporate AI. While these applications are promising, employees often don’t see them firsthand. Generative AI has not yet reached the quality level of human-created content, so its output usually needs reviewing and editing. However, it can produce first drafts and samples, saving employees time on manual writing tasks, allowing them to focus on refining the content.