Narayana Murthy says ChatGPT helps him write five times faster than before: 'Used to take about 25-30 hours to prepare a lecture'
Infosys founder NR Narayana Murthy recently revealed that the artificial intelligence (AI) tool ChatGPT helps him write any lecture or speech five times faster than before. Earlier, he used to take about 25 to 30 hours to frame a draft.

Infosys founder NR Narayana Murthy has given a major review of the usage of the artificial intelligence (AI) tool ChatGPT. Speaking about the AI tool, the Indian billionaire businessman recently revealed that he uses the artificial intelligence tool to quickly draft speeches that used to take him over 25 hours to write.
In a conversation with Moneycontrol, the 78-year-old businessman said that he now prefers using OpenAI's ChatGPT-4, as it helps him prepare drafts for lectures and speeches for his public appearances.
According to Murthy, the AI tool helps him write anything way faster than before and significantly saves his writing time.
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'In a matter of five hours, I could improve the draft'
Murthy explained how he used to take about 20-30 hours to prepare a lecture because he likes to take things very seriously. He always thinks there should be a central theme with a connected sub-theme, and both must be closely linked. Ultimately, it should all lead to a powerful and meaningful message.
The tech titan added that his son, Rohan Murty, introduced him to ChatGPT and asked him to use it to write his drafts. ¡°In a matter of five hours, I could improve the draft. In other words, I improved my own productivity by as much as five times,¡± he said.
? "I used to take about 25-30 hours to prepare a lecture. Now i take just 5 hours using ChatGPT," - Narayana Murthy. pic.twitter.com/5M1vNMifuO
¡ª Indian Tech & Infra (@IndianTechGuide) June 18, 2025
Narayana Murthy urges ethical use of AI
The Infosys founder had earlier supported the use of AI, describing it as a tool that boosts skilled labour rather than replacing it.
Murthy noted that generative AI can speed up tasks such as coding and minimise errors. He believes that, overall, it will improve turnaround times and increase productivity within the tech industry.
He also compared the rise of AI to the use of computers in the banking sector during the 1970s. He explained that machines were originally viewed as rivals to human beings and faced resistance from unions.
However, those very machines ultimately enhanced productivity and enabled employees to finish work by 5 PM, allowing them more time to spend with their families.
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