Insight, Not Data
We don’t want more data, or information, or details. At least not for issues we are trying to better understand.
We want insight – different assumptions, new perspectives, credible context – that can lead to new ideas.
Friends seek out their inner circle hoping their close friends will have advice.
Students go to prestigious universities expecting wizened professors to provide succinct overviews and relevant cases.
Corporate leaders hire globally renown consulting firms demanding experienced partners to shower them with useful frameworks and practical solutions to complex issues.
They are all seeking insight – new ways of seeing the world, dealing with problems, or attaining one’s goals.
Today, more and more people are logging into ChatGPT to gain insight, because ChatGPT provides concise, logical answers to challenging questions.
And ChatGPT does it very quickly. For people who are skilled at the new process of “prompt engineering” – effective ways of drafting text questions to elicit excellent ChatGPT responses – this natural language processing machine from OpenAI is a powerful way for people to get very good insight very quickly.
Time to Insight – My New Favorite Metric
Why wait to talk to your mother, your teacher or an expert in the field when you can just type a few well-crafted sentences into ChatGPT and get a quick summary of a complex idea, or a procedure list for a process you have never managed, or a script for a presentation written smartly in the formal or informal style you prefer?
And if these early explanations deepen your understanding of your given query or topic, or help you make connections to other ideas that excite you further, then AI is already proving to be a superb tool for learning.
ChatGPT has helped me improve a metric I did not even know I valued – time to insight.
In order to gain the insight to write an article, or the insights I need to write a book, I read a lot of books, watch a lot of videos, and interview a lot of people. With all that data jumbling in my head, a moment of clarity or a leap of insight might pop into my head during my exercise routine, as I weave and wander my way to an organized string of ideas.
Now I can leverage AI to organize my thoughts, get succinct summaries, uncover blind spots, and hone in on the major points of a complex issue in a matter of minutes. I will still read my books, watch my videos and talk to a lot of people, but I will be on a higher plane of understanding faster, building on thoughts and ideas that might not have been revealed to me prior to leveraging ChatGPT.
Is it Cheating? Not Really. Is it a Threat to White-Collar Knowledge Workers? You Bet!
So yes, it’s cheating if you paste a great ChatGPT response directly into a university admissions essay.
It’s dishonest if you put your name on an article generated by ChatGPT.
It’s unethical if you are calling yourself a doctor and dispensing advice generated by ChatGPT.
But it’s not cheating, or dishonest or unethical if you are using ChatGPT as you would a friend, a teacher or a consultant – to gain new perspectives and advice.
ChatGPT is a fantastic learning tool. It’s not perfect. It makes mistakes. But guess what – your friends, teachers or consultants are not perfect either. They make mistakes. It is up to you to distinguish the accuracy and the quality of the information and insight you are gaining from any source, human or not. That has always been true, and is certainly true with ChatGPT.
People who earn income as teachers, consultants, researchers, coaches, advisors – they need to up their game because ChatGPT is coming for them. As was explained in this New York Times article – “A.I. Is Mastering Language,” the reporter wrote, “for decades now, prognosticators have worried about the threat that A.I. and robotics pose to assembly-line workers, but GPT-3’s recent track record suggests that other, more elite professions may be ripe for disruption.”
TikTok is filled with short videos of people talking about the impact of ChatGPT. In this example, the head of a marketing consultancy talks amazingly about how ChatGPT is saving them loads of time in creating marketing campaigns for their clients. Of course, that also means companies will soon be able to forgo the hiring of pricey consultants and create campaigns themselves using ChatGPT, or similar AI tools that will undoubtedly come on market.
So you have to think: are you better than ChatGPT in explaining your business, your area of expertise, the things important to you? If yes, keep on doing what you’re doing. If not, then you should start getting familiar with ChatGPT.
Think of it this way. ChatGPT is a friend, who’s always there, who’s never too sleepy or too grumpy to provide you with, on the whole, pretty good explanations, insight and advice.
Get on the bandwagon. Or get out of the way.
ARTICLE FAQS
1. Why do people say they want insight instead of more data?
Because insight provides context, new perspectives, and different assumptions that help people solve problems or make better decisions. Data on its own does not automatically lead to understanding or action.
2. How is insight usually gained?
Traditionally, people have turned to trusted friends, experienced teachers, or expert consultants to gain insight. Today, digital tools like AI expand access to quick, organized perspectives.
3. What is “time to insight,” and why does it matter?
Time to insight refers to how quickly someone can move from gathering raw information to reaching clarity or actionable understanding. Shortening this process saves time and accelerates learning.
4. How does AI help improve time to insight?
AI tools such as ChatGPT can provide summaries, highlight blind spots, and generate structured explanations. This accelerates the process of turning raw data into usable insight while still leaving judgment in human hands.
5. Is using AI for insight considered cheating?
Not if AI is used as a support tool, similar to asking a teacher, colleague, or consultant for advice. It becomes unethical only when people misrepresent AI’s work as entirely their own or use it dishonestly in academic or professional contexts.
6. What are the implications of AI for knowledge workers?
AI challenges traditional roles in teaching, consulting, research, and advising. People in those roles will need to differentiate themselves by providing deeper expertise, better judgment, or uniquely human qualities that AI cannot replicate.
7. Should everyone learn how to use AI for insight?
Yes. Since AI is increasingly becoming a standard tool for reasoning and explanation, those who understand how to use it effectively will be better prepared to adapt, learn, and compete in knowledge-based fields.


This is long and worth the read – frightening and all kinds of ethical stuff comes up.
https://www.nytimes.com/2023/02/16/technology/bing-chatbot-transcript.html?campaign_id=9&emc=edit_nn_20230216&instance_id=85511&nl=the-morning®i_id=85264566&segment_id=125456&te=1&user_id=bba7e283d178f34fd2c83f109e6cbc01