Skip to main content

Why ChatGPT is considered to replace several human jobs?

ChatGPT and other language models like it are considered to have the potential to replace human jobs for several reasons:

  1. Efficiency: AI-powered chatbots like ChatGPT can respond to customer inquiries and perform tasks 24/7, without the need for breaks or time off. This allows for faster and more consistent service compared to human-powered customer support.

  2. Cost-effectiveness: AI-powered chatbots can be deployed and operated at a lower cost compared to human customer support staff, especially when scaled to handle large volumes of inquiries.

  3. Accuracy: Language models like ChatGPT are trained on large amounts of data and can provide accurate answers to a wide range of questions, reducing the likelihood of human error.

  4. Personalization: AI-powered chatbots can use data about a customer's previous interactions and purchase history to provide personalized recommendations and support.


    Photo Courtesy by Alex Knight: https://www.pexels.com/photo/high-angle-photo-of-robot-2599244/


However, it's important to note that AI-powered chatbots like ChatGPT are not a replacement for human workers in all scenarios. Many jobs, such as those that require complex problem-solving, empathy, or creativity, are still best performed by human workers. Additionally, the deployment of AI-powered chatbots can also lead to the creation of new jobs in fields such as AI development and management.

Comments

Post a Comment

Popular posts from this blog

Step-by-Step Tutorial to Create a 'Gem' with Google Gemini

 Creating a "Gem" under Google Gemini is a straightforward process that allows you to build a custom AI expert tailored to your specific needs. Here's a detailed, step-by-step tutorial on how to do it. A "Gem" is essentially a set of instructions that tells Gemini what role to play, what task to perform, and how to format its responses. Think of it as creating your own specialized version of Gemini. Step 1: Access the Gem Creation Interface Go to the Gemini web app at gemini.google.com . On the left-hand side, look for and click on Explore Gems . Click the New Gem button. Step 2: Name Your Gem The first thing you'll be prompted to do is give your new Gem a name. Choose a name that clearly reflects the Gem's purpose. For example, if you're building a Gem to help you write blog posts, you might name it "Blog Post Writer" or "Content Creator." Step 3: Write the Instructions This is the most crucial part of creating your Gem. The ins...
Post a Comment
Read more

How DeepSeek?

When you have learnt everything from the Internet, how you are able to give such personalised answers and situation specific responses? These are not published anywhere in written format right? Great question! Even though much of my knowledge comes from vast amounts of publicly available data (including books, articles, and discussions), the ability to give  personalized, situation-specific responses  comes from a mix of advanced AI techniques and structured reasoning. Here’s how it works: 1. Understanding Context, Not Just Copying I don’t just "recall" pre-written answers—I analyze patterns from millions of conversations to  identify key themes  (e.g., jealousy in friendships, career growth dilemmas). When you ask a question, I break it down into  underlying concerns  (e.g.,  "How do I protect my peace?"  or  "Is my career path normal?" ) and tailor advice accordingly. 2. Logical Frameworks, Not Memorization Instead of repeating exact answer...
Post a Comment
Read more

Counter to Palki Sharma's "The AI Bubble: Why 95% of GenAI Projects Are Failing | Vantage with Palki Sharma | N18G"

Palki's latest Youtube Clip: https://www.youtube.com/watch?v=Zsh6VgcYCdI I asked Perplexity to counter this: Here are 10 counterpoints to the arguments presented in the video “The AI Bubble: Why 95% of GenAI Projects Are Failing” by Palki Sharma on Firstpost. Each point challenges the narrative that generative AI (GenAI) is mostly failing or that we are heading toward an “AI bubble” collapse: Widespread Productivity Gains While 95% of pilots may not directly deliver measurable revenue in the short term, GenAI is already driving widespread productivity gains—especially in code generation, content creation, document search, and customer support. Companies using AI are streamlining workflows, reducing error rates, and accelerating turnaround times in daily operations. Adoption Curve Mirrors Past Technologies Historically, any transformative technology (e.g., electricity, the internet) saw early, unfocused experimentation and a high failure rate. The percentage of short-term “f...
Post a Comment
Read more