Research conducted by the company behind ChatGPT, Open AI, concluded that 80% of workers in the US could see at least 10% of their work automated in the near future. Similarly, a report published by Goldman Sachs in late March 2023 predicted that 300 million jobs worldwide will be affected by generative AI. The report also noted that, while some job losses would be inevitable, adopting AI could increase productivity in the workforce.
Due to its nature, this wave of automation is going to impact white collar workers more than ever before. So how can you futureproof your career and ensure your services remain in demand?
Embracing generative AI could enable you to use it to your advantage and be more productive in your role. In this blog, I’ll be explaining how you can get the most out of tools like ChatGPT and outlining the skills to develop, allowing you to stay ahead of the curve.
Which tasks within your role could be automated? Before GPT-4’s release, much of the focus on generative AI’s capability in the workplace had been on copywriting. However, the potential for these tools is fast expanding. For example, they can help you plan presentations, or create and populate spreadsheets quickly with original formulae.
What about as a research tool? The primary function for chatbots was to generate the information you need, and in a format that suits you. There are potentially errors in what it provides, but that is fast improving. The development of Google Bard and Microsoft Bing’s own product means that the gap between AI chatbots and traditional search engines in terms of reliability is closing.
One of the big advancements that came with the launch of GPT-4 was the release of plug-ins that open up a host of new opportunities. You can summarise conversations and draft responses on Slack, analyse real-time data on FiscalNote or generate meeting summaries from Zoom. Meanwhile, the Zapier plug-in allows you to integrate the tool into Microsoft Office, Google Suite, Hubspot and Facebook Ads, among others.
Of course, it’s important to think about the legality and security surrounding this, particularly if you’re accessing or sharing sensitive data from your organisation. However, these all have the potential to save you time and provide useful assets and insights.
The great thing about a large language model (LLM) is that making a request is intuitive, and we receive a response that’s easy to understand. You don’t need specialist technical skills or knowledge to get started.
To really reap the benefits of ChatGPT and other generative AI, though, you’ll need to perfect your prompts. In fact, there are already businesses hiring prompt engineers to coax the most useful content from these tools.
However, just because we’re seeing examples of this being a responsibility in itself, it doesn’t mean you can’t get involved in your current role. There’s a lot of advice out there on getting your prompts right, which I recommend you look into. Some examples of things you can do include:
When using an LLM for fact-finding, double-check the results it provides. You could even do this by focusing on one piece of information that you’re unsure about, and asking the chatbot about that specifically. Again, breaking down your questions can help to provide a clearer picture.
As for copywriting or coding, even after multiple prompts and concise briefs, it’s unlikely that generative AI will give you content that’s good to go. Rewrite anything that doesn’t fit your tone of voice, or check the data on your spreadsheet for mistakes.
To be more productive in future, think about how you could improve your prompt for next time so that the output is closer to what you need.
The above tips will give you a head start in making generative AI work for you. However, these tools are evolving constantly, and they’ll soon be able to take on even greater responsibility. The truth is that, if you don’t keep up with their capabilities, you won’t be as productive as possible, and that could put your position in jeopardy. ChatGPT and similar models are here to stay, so you need to be able to use them properly.
As I mentioned above, you don’t need to rely on technical skills to use an LLM or many other generative AI models. That said, those who develop their “soft” skills will be the most productive. For example:
Generative AI is already transforming the way we work. If you’re a white collar worker, the chances are that it will have an impact on your industry or role.
Even if you won’t necessarily be replaced by AI, you might be replaced by somebody with superior AI skills. Getting to grips with AI tools now will help you to futureproof your career by making you more productive. If you haven’t already, try using ChatGPT and other models and see how they can help you in your role, following these tips.