Harnessing AI to become an 'augmented professional'

Augmented professionals utilize AI tools to enhance their outcomes, always with the premise that these tools are a complement to their specialized knowledge.

Marc Cortés

For more insights, subscribe to AI4Business, a newsletter by Marc Cortés

Imagine I ask for your help to design a strategic innovation program for senior executives, formatted in four sessions of three hours each, and you have any knowledge of innovation. Would you dare to prepare the course program and present it to the client company that requested it? You'd likely have doubts, wouldn't you? However, the answer could very well be a resounding yes: you could use ChatGPT and ask it for assistance. 

Now, let's look at it from the other side: Would you dare to purchase a strategic innovation program for senior executives, formatted in four sessions of three hours each, created by someone with no experience in the subject and developed with GPT4? Here, you probably have no doubts; the answer would be a clear no. 

The reason is probably that, even if it's generated by an AI algorithm, you might prefer the expertise of someone who knows what they're talking about. 

What if the program is prepared by an expert in the field who has utilized GPT4 to refine it, incorporate different viewpoints, new materials, and cases that they might not have been aware of? In this case, we're blending experience with knowledge, but above all, we're ensuring that this experience supervises the knowledge generated by AI to ensure everything is correct. 

We're entering the territory of augmented professionals, meaning professionals who use AI tools to enhance their outcomes always with the understanding that this tool is a copilot, a qualified assistant. 

Are augmented professionals born or made?

In a survey conducted some months ago on Fishbowl, 43% of professionals who responded confirmed using ChatGPT or other similar tools regularly as assistance in their work. 

We could identify different levels of augmented professionals based on two parameters: 

  • Level of specialized knowledge in a specific field 
  • Level of AI usage (from accessing knowledge to making decisions based on its output) 

The OpenAI revolution: GPTs

Some time ago, OpenAI took a step toward creating augmented professionals by launching the possibility for users of its plus service (with access to GPT-4) to create their own GPTs. The process is straightforward and can be completed in minutes. 

The idea is to be able to upload content and instructions so that the algorithm can focus on a specific task, from working specifically for academic research content to analyzing documents with data and drawing conclusions, to having a personalized tutor that teaches you how to program. 

Recently, ChatGPT has taken the next step by creating the GPT Store, where we can purchase virtual assistants created by third parties. 

We're moving towards a context where technology allows us to customize these "assistants," specializing their learning process to help us learn, create, and make decisions. 

How to do it?

Currently, in my role as Head of Digitization and Innovation at Esade Executive Education, I am helping to bring these assistants into the classroom. In this way, we create a teaching assistant concept from AI algorithms that help participants learn and solve decision-making processes based on relevant content and experiences. It will be a copilot for participants in certain programs that they can turn to whenever and wherever they want, with no limitations on schedules or access to specialized knowledge. 

In the preliminary research process, we reviewed numerous tools and companies have been reviewed that, based on the ChatGPT algorithm, have created solutions that allow for producing these assistants, providing them with content, and training them to fulfill this purpose. All of this is done very simply, without the need for technological knowledge and without typing a single line of code. 

Among the dozens of solutions analyzed, I could highlight three based on their functionality, their value for money, their capacity (data sources they support), and their ease of use: 

  • droxy.ai 
  • CustomGPT.ai 
  • Dante 

In summary, it seems evident that there is only one way: to enhance our capabilities through the use of AI, but with a clear understanding of the transformation journey. In any case, the starting point must be to have (or work to have) that specialized knowledge. 

All written content is licensed under a Creative Commons Attribution 4.0 International license.