The Impact of Generative AI in the Workplace

Generative Artificial Intelligence (AI) alters the way people perform the mundane tasks of their profession. Be it preparing business documents, creating marketing content, analyzing data, or performing parts of a technical job, AI is finding its way in the workplace.
Merely knowing how to open and use an AI tool will not help people in their profession. There are many other things to be considered. For instance, how do these systems function? How do people clearly instruct them? How do people evaluate the system responses? When to use human judgment?
In the context of all of the above questions and limitations of the technology, practical knowledge of Generative AI becomes valuable. Having these skills will help people better interpret technology.

Using AI Is Easy, Using It Effectively Is Something Else

A marketing professional creating a campaign for a new product can generate content ideas or first drafts of captions using AI. The tool can help create an initial marketing plan.
However, the marketing professional has to evaluate if the suggestions align with the audience, the brand, and if there are any factual errors. The marketing professional may have to edit the captions or consider other ideas or recommendations.
Understanding and evaluating the AI output is important.

Four Areas Where Generative AI Knowledge Makes a Difference

1. Producing Helpful Results Starts with Better Instructions

One strength of generative AI systems is their ability to respond to the instructions users provide. These are commonly known as prompts.
When prompting a generative AI system to create a business report, a broad prompt such as, “write a business report,” results in a very general response. However, if the system is prompted to write a report based on the purpose, audience, and content, and in a format, such as a business report, it may produce a more helpful response.
Professionals should become adept at:
Defining the purpose and audience.
Listing required content.
Defining format.
Using appropriate prompts.
Reviewing responses and requesting clarification if responses are unclear.
A baseline level of understanding on prompting will be helpful as professionals integrate AI technology into their work and everyday activities.

2. AI Can Replace Content Creation, But Not Other Tasks

Generative AI technologies are frequently associated with content creation and image generation. However, these technologies may benefit other aspects of work, such as research, coding, and data analysis.
There are a range of AI tools available to help with things such as document and data organization, and summary, idea generation, and code generation.
Depending on the purpose, a project manager or developer may use AI to generate meeting or code summaries and assist with debugging, respectively. Marketing professionals may use the technology to brainstorm and create content for campaigns.

3. Human Review is Still Essential

Even when using AI technologies, professionals should take time to review outputs to ensure they have been provided with the correct information and the AI has not incorrectly explained something or been confusing in the way it has communicated the information.
Example: For an AI-assisted presentation, a business analyst should verify significant statistics and conclusions before inserting AI-generated information. Similarly, a professional should check accuracy and clarity when using AI to respond to a client's request for information.
Ultimately, while AI may help with work, people should retain the final-call responsibility for important decisions.

4. Protects Professional Information

Responsible AI use incorporates a range of areas including privacy, security, bias, and IP.
For their own protection, professionals should exercise caution when providing company documents, personal customer data, financial details, and/or confidential data to an AI platform.
It is crucial for an individual to understand the AI tool's Data practices and their Company policy, before using the AI tool at work.
Using AI responsibly means considering what is the appropriate way to use the technology in that situation.

Developing Generative AI Skills Through Structured Learning

The GIPMC's Generative AI Associate Professional (GAAP) certification seeks to equip working professionals with the foundational to intermediate levels of knowledge on generative AI.
Students will learn about generative AI and its derived models, techniques on prompting, and various examples of generative AI such as text and image generation and code completion. Additionally, topics such as data analysis and productivity will be discussed. The course will also cover the impact of AI on society and some ethical concerns. Participants will be shown techniques on how to assess the quality of AI generated outputs.
This structured approach helps participants envision the role of generative AI in the business and technology ecosystem.
Those who wish to learn more about generative AI can check out the Generative AI Associate Professional (GAAP) Certification by GIPMC and browse through its training material.

Who Else Can Benefit from Learning Generative AI?

Generative AI is not just limited to software developers and technical specialists.
This includes recent graduates, business analysts, marketing professionals, content creators, product managers, operations professionals and those transforming their careers to more AI-centric roles.
Beginners can begin by learning basic AI concepts and using various AI tools. More seasoned professionals can reflect on AI and how it can help them in their career and day to day activities.
The most effective way to prepare is to combine formal learning with real-world experience.

Preparing for an AI-Enabled Professional Future

It is important to be careful about relying on any one single application or platform as Generative AI continues to evolve and the tools of today may change or disappear in the future.
Rather, it is better to focus on skills such as prompt writing and evaluation, identifying the limitations of AI-generated output, critical thinking, effective communication, as well as using technology in an ethical and responsible manner.
Understanding limitations of AI-generated output as well as its implications for the workplace is a skill that professionals can develop and become better equipped for new workplace requirements.

Final Thoughts

Generative AI changes the game for content creation and task automation. However, the real value of Generative AI in the workplace is how judiciously people are able to utilize it and evaluate its limitations.
Because knowledge and use of AI needs to be harmonized with ethics and judgment for the best outcomes, practical experience with AI needs to be grounded with ethics and judgment for a responsible use of technology.
Those wishing to understand and learn about Generative AI as it relates to work and business can obtain a structured starting point for learning by taking the GAAP certification course offered by the GIPMC.