Generative AI is quickly becoming a familiar tool in the workplace for many businesses. From a short prompt, AI can generate emails, articles, marketing ideas, document summaries, or sales scripts.
So, what is Generative AI? Where can businesses apply this technology, and what practical benefits does it bring? This article will help you understand the most fundamental points.
Table of Contents
What is Generative AI?
Generative AI, also known as AI-generated content or generative artificial intelligence, is a type of artificial intelligence capable of creating new content based on data, context, and user requests.
Instead of simply searching for existing information, Generative AI can create a new piece of content according to a specific requirement. That content may include:
Text;
Images;
Audio;
Video;
Programming code;
Summaries;
Ideas;
Plans;
Design drafts.
Put simply, Generative AI is like an assistant that helps people write, brainstorm ideas, summarize information, create drafts, or generate initial content more quickly.
For example, a user can request:
“Write me a product introduction email in a professional tone.”
Or:
“Generate ideas for a Tet marketing campaign for a cosmetics brand.”
From these requests, Generative AI can create a relatively complete draft for users to edit, supplement, and continue using.
The difference of Generative AI does not lie only in its ability to “answer questions.” Its more important value is that it can generate new content that is structured, contextualized, and aligned with the user’s goals.
For example, with the same request to write a product introduction email, AI can create different versions: a formal version for enterprise customers, a concise version for existing customers, or a more friendly version for a marketing campaign.
Applications of Generative AI in Business
Marketing and Communications
Marketing is one of the clearest areas for applying Generative AI because much of marketing work involves content, ideas, messaging, and personalization. According to Salesforce, 63% of marketers are currently using Generative AI.
Generative AI can support marketing teams across many tasks: writing blog posts, creating social media captions, drafting marketing emails, writing product descriptions, generating campaign ideas, creating multiple ad variations, or turning a long-form piece of content into shorter formats for different channels.
The strength of Generative AI is not only that it “writes quickly,” but that it helps marketing teams create many different versions of content in a short time, thereby personalizing messages for each customer segment.
Sales
In sales, Generative AI can help sales teams save significant time on repetitive tasks such as writing outreach emails, drafting proposals, preparing consultation scripts, summarizing customer information, and writing follow-up content after meetings.
According to Salesforce, 61% of sales professionals believe Generative AI will help them sell more effectively, and another 61% believe this technology will help them serve customers better.
For example, before meeting an enterprise customer, a salesperson can use AI to:
Summarize customer information;
Prepare a list of questions to ask;
Write an industry-specific consultation script;
Create a service introduction email;
Draft a proposal;
Write a thank-you and follow-up email after the meeting.
Customer Service
Customer service involves many repetitive tasks: answering frequently asked questions, providing usage instructions, explaining warranty policies, checking order status, receiving complaints, or categorizing requests for handling.
Generative AI can help businesses build smarter chatbots, provide 24/7 customer support, and reduce the workload for customer service teams. According to IBM, more than half of surveyed organizations have deployed Generative AI in one to four customer service-related use cases.
Unlike traditional chatbots, which usually respond based on fixed scripts, Generative AI can understand questions more flexibly and generate more natural responses. For example, customers do not necessarily have to ask a standard question such as “What is the return policy?” They may ask in different ways, such as “Can I exchange it if I bought the wrong size?” or “What should I do if the item doesn’t fit after I receive it?” AI can identify the intent behind the question and provide a suitable response.
In addition to chatbots, Generative AI can also support customer service agents by:
Summarizing complaint content;
Suggesting appropriate responses;
Classifying the urgency level of requests;
Escalating complex cases to the responsible staff;
Creating notes after each interaction;
Recommending handling directions based on internal policies.
Internal Operations
Many office tasks consume time but do not always create strategic value, such as writing meeting minutes, summarizing documents, drafting procedures, creating checklists, writing internal announcements, or standardizing guidance documents.
Microsoft stated in its Work Trend Index 2024 report that 75% of knowledge workers globally are using AI at work, showing that AI has entered everyday office tasks, not just technology departments.
Within businesses, Generative AI can help employees:
Summarize a long meeting into key points;
Turn scattered notes into structured meeting minutes;
Create work implementation checklists;
Write standard operating procedures;
Draft internal announcements;
Synthesize content from multiple documents;
Create FAQs for new employees.
Employee Training
Employee training is a time-consuming process, especially for businesses with frequent new hires, many internal procedures, or complex products and services. Generative AI can support the creation of onboarding materials, quizzes, practice scenarios, internal curricula, and Q&A assistants for new employees.
The strength of Generative AI in training lies in personalization. The same content can be rewritten by AI at different levels: a simple version for new employees, a detailed version for managers, a concise review version, or a Q&A format for easier reference.
Benefits of Generative AI
Time Savings
The most visible benefit of Generative AI is that it helps shorten the time needed for tasks such as writing drafts, summarizing documents, preparing reports, generating ideas, or creating initial content.
Lower Content and Documentation Production Costs
McKinsey estimates that Generative AI could create around USD 2.6 trillion to USD 4.4 trillion in economic value each year across multiple application groups, including marketing, sales, customer service, and operations.
Increased Employee Productivity
AI helps employees accomplish more in the same amount of time: creating drafts faster, synthesizing documents more quickly, preparing more content options, and reducing time spent on manual tasks. According to McKinsey, 78% of respondents said their organizations are using AI in at least one business function, up from 72% in early 2024 and 55% one year earlier.
Decision-Making Support
AI only truly creates value when it is connected to specific processes and goals. According to McKinsey, only 39% of respondents said AI has generated EBIT-level impact across the enterprise, while 64% said AI is supporting innovation. This shows that AI has significant potential, but still requires human guidance, review, and final decision-making.
