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How Many Businesses Are Using ChatGPT for Day-to-Day Tasks?

Graham Turner

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ChatGPT in the workplace
Writing up reports is the most common reason for using ChatGPT at work, with more than a quarter (27%) of respondents naming this as their reason for using this form of AI.

The study from app security firm Indusface reveals not only industry that are leaning on ChatGPT the most, but goes into the specifics of what the LLM is being used for on a day-to-day basis.

The study based on a UK-based survey of 2,000 respondents across 25 industries found that the advertising sector uses ChatGPT the most on the job, with almost two fifths 39% of employees admitting to using it for work. Among them, 11% admit to using it frequently, more than once a week. 

Businesses within the legal sector rank as the second industry using ChatGPT the most. Thirty-eight percent of legal workers surveyed admit to using ChatGPT or alternative methods of AI for work. 

Arts & media comes in third place, with 33% of workers within the sector admitting to using ChatGPT for their work. 

According to the findings, workers with the creative arts are applying AI to their work more frequently than any other industry within the top 10, with over 13% admitting to using it at least once a week. 

Despite the popularity of ChatGPT, according to the survey, over half (55%) of business workers stated that they do not trust working with another business who uses ChatGPT or similar AI in their workplace.

What are People Using ChatGPT for in the Workplace?

According to the survey conducted, work reports are the task where ChatGPT or AI is most likely to be used (27%).

Coming second is translation, with a quarter of people using ChatGPT at work for this reason. The third reason is for their own research purposes (17%). 

At the bottom of the table, 11% of employees are using ChatGPT to write their client emails.

Venky Sundar, founder and president of Indusface shares his insight on the risks and benefits of using ChatGPT: “Specific to business documents the risks are: legal clauses have a lot of subjectivity, and it is always better to get these vetted by an expert.

“The second risk is when you share proprietary information into ChatGPT and there’s always a risk that this data is available for the general public, and you may lose your IP. So never ask ChatGPT for documentation on proprietary documents including product roadmaps, patents and so on.

“The benefits are that a V1 draft could be easily obtained, and it is helpful to frame thoughts especially for generic templates such as email templates and so on.

“For application security, the risk is, you are unsure that the code snippets written by ChatGPT are secure. You will still need to perform in-depth security testing before deploying them.

“The maturity level of addressing the data and ownership of trust is still not well defined and the businesses are right in not trusting it completely as they are worried about the use or more appropriately misuse of their data. Like every technology, there will be early adopters, but these people are tech savvy and a minority. For everyone to adopt, it will take its own time.

“ChatGPT or LLMs in general have made the development cycles very short. It is easier now to convert an idea to a working proof of concept in a matter of days when compared to months before.


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“The risk though is that POC should just be used for that purpose. If you go to market with the POC, there could be serious consequences around application security and data privacy.

“The other risk is with just using LLMs as an input interface for the products and there could be prompt injections and the risk is unknown there.

“One thought process is the knowledge base used to build productivity use cases and the knowledge base used to build defence use cases on what’s not acceptable have to be separate sources that need to be trained and updated continuously.”

Graham Turner

Sub Editor

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