ChatGPT is the latest AI-powered tool that drives innovation and efficiency. Find out how using generative AI, along with other AI tools and technologies, can transform your organization and drive extraordinary business outcomes.
In this whitepaper, we discuss:
ChatGPT is the latest AI-powered tool that drives innovation and efficiency. Find out how using generative AI, along with other AI tools and technologies, can transform your organization and drive extraordinary business outcomes.
The entry of ChatGPT into the market is bringing AI to everyday conversations, but we’ve long known that the era of AI is here to stay and has immense potential to transform everything we do, especially in the world of work.
When used responsibly and ethically, AI is a wonderful tool that helps people sort through millions and even billions of data points, surface valuable information, and help us make better decisions that allow us to focus on doing higher level tasks and more important work.
The future of work includes AI and tools like ChatGPT. Now we just need to learn more about how it works — and how we can put AI to work for us.
As believers in the power of AI and what it can do in the HR industry, we welcome this new era of AI-driven tools that will make our work lives easier. We hope you do, too. In this paper, our Chief Economist Sania Khan, along with contributions from our CEO and Co-founder Ashutosh Garg, discuss the importance of ChatGPT as an emerging technology that will contribute to these changes in the way we work.
As the technology behind natural language processing advances, chatbots and virtual assistants powered by GPT-3 and now GPT-4 are becoming increasingly prevalent in a variety of industries. While this technology has the potential to revolutionize the way we interact with computers and automate many routine tasks, it also raises questions about the future of work.
In this article, we will explore how ChatGPT (a specific implementation of GPT-3/4) may impact jobs, including which positions may change, morph, or disappear entirely. Additionally, we will discuss the shift toward prompt creatives and how ChatGPT is democratizing creativity. Let’s dive in.
ChatGPT wrote this introduction. Sounds convincing, right?
Released last November, ChatGPT has received global attention for its ability to write well-written, instant responses to questions and prompts. The OpenAI tool continues to gain momentum, with many people complaining about the inability to handle the influx of requests due to being “at capacity.”
The jury is still out on whether ChatGPT performs better than the average human writer — or provides average, uninspiring responses based on a collection of responses that live online.
Before we delve into how ChatGPT will impact jobs, let’s take a step back to understand the evolution of machine learning. Machine-learning models are not new. Take ubiquitous examples like Siri and Alexa that take in speech, turn it into text, identify the prompt, and return a mostly acceptable answer. Or consider your phone’s photo app that stores metadata from your photos, like location and date, and performs image recognition tasks. This allows you to search for “dog” and returns all related pictures or text. These machine-learning use cases can save hours in manual searches or organization.
The difference with ChatGPT is that its machine-learning model has a full conversational interface. Similar to the Eightfold AI Talent Intelligence Platform, ChatGPT AI can take on routine tasks and enable people to improve where machines cannot.
In a talent intelligence platform, AI doesn’t take over a job — it surfaces recommendations so people have more information to make better decisions. Generative AI in a talent intelligence platform creates new opportunities for candidates, employees, and contractors that might not have easily surfaced for them before. For candidates, it’s about surfacing jobs they might not have identified for themselves. For employees, it’s about finding projects or courses to upskill. And for contractors, it’s finding the part-time work or gigs best suited to their skill sets. Like ChatGPT, it still needs a human component to tell it what to do, refine recommendations, and actually use uniquely human skills to interact with people.
