Benefits of generative AI
There are many ways for companies to use generative AI. A generative AI tool can be a tremendous asset to a workplace when used correctly and effectively. Alongside skilled workers, artificial intelligence technology can transform your business.
There are many benefits of using generative AI in the workplace, such as:
Increases efficiency and productivity
Since generative AI systems are machine tech and work quickly, you can create more content faster than humans. With a rapid system, you can work on multiple pieces simultaneously. You can either have artificial intelligence work on all content or have generative AI work alongside employees.
Additionally, generative AI tools can work on background tasks, like data analysis, so that you can focus on more human-centric functions.
Improves quality and accuracy
Generative AI systems can minimize common mistakes due to human error. Fewer mistakes cut down on editing and revisions so that you can get more content and products out the door. With the machine learning capabilities of AI, you can run analytics quicker than a human.
Saves costs
Many generative AI programs are free or cost a small fee for professional use. Even though you might have to pay, spending money on AI tools will not be as expensive as employing staff to write code and do the work themselves. You can generate less expensive products and build up your bottom line.
Gives you a competitive advantage
Publishing more content allows you to reach customers, putting you ahead of the competition. With generative AI tools, you can increase your social media presence, boost SEO, and write emails.
Outside of content, AI tools can identify customer and business trends. Reviewing existing data compiled by AI will help you make informed decisions for your business.
Challenges of generative AI
Unfortunately, technology isn’t without risks or bugs. As much as we want it to be, artificial intelligence isn't perfect, even with the advanced tools of intelligent technology and a computer’s ability to do deep learning.
We previously looked at AI technologies and the benefits of using generative AI in business, and now we will explore the challenges that generative AI presents to the workplace.
- Data privacy and security concerns: This is perhaps one of the most important questions regarding generative AI: Can other people access the content you create, especially if you’re writing about sensitive topics? How is the output of generative AI programs stored? For example, you may need an encrypted server. These are serious questions, particularly if your business deals with personal data and confidential information.
- Ethical considerations: Just because you can do something doesn’t always mean you should. Does your brand lose credibility if an AI tool generates most or all of your content? Also, consider your brand voice. Generative AI can write well, but it may not be accurate to your brand’s identity. Lastly, while AI makes fewer mistakes than humans, it’s not perfect. Content created by generative AI tools can provide false information and fake news. It’s vital to check text written by AI tools. Just because something sounds like a human wrote it doesn’t mean it was.
- Technical challenges: Nothing in technology is guaranteed. Unfortunately, programs don’t work 100% of the time, and generative AI tools can break down like any other tech, especially since most generative AI is open-source. Additionally, not everyone will adapt to using new technology. Some employees will be early adopters and learn to use the tools quickly, while others, most likely the older generation in the workplace, will struggle to use these programs effectively. You could spend more time teaching people to use the tools than actually using them for their intended purposes.
- Integration with existing business processes and systems: As much as we wish it were true, not all programs work well together. Your company could encounter issues with programs not integrating and breaking existing processes. Outside of technology, your business may have specific functions for writing copy or graphic design. It is possible that an AI tool will not be able to fully follow a style guide to create text or images according to your brand’s criteria.