Narayana Murthy on AI and Poverty: Insights from TiECon Mumbai
Infosys co-founder Narayana Murthy recently shared his insights on the growing excitement surrounding artificial intelligence (AI) in India, during the TiECon Mumbai 2025 event. He expressed concern that many systems currently marketed as AI are merely products of traditional programming.
The AI Trend in India
“It seems to have become fashionable in India to label everything as AI,” Murthy remarked at the annual entrepreneurial conference. He pointed out that many ordinary software applications are being inaccurately promoted as AI solutions.
True AI: The Core Components
In conversation with Harish Mehta, the founding president of TiE Mumbai, Murthy emphasized that true artificial intelligence relies on two primary pillars:
- Machine Learning: This technology enables extensive correlations for predictive analytics.
- Deep Learning: Mimicking human brain functions through unsupervised algorithms, deep learning is crucial for achieving truly intelligent systems.
A Critique of Current AI Offerings
Murthy expressed a candid opinion, stating, “Most of what passes for AI these days is trivial and outdated coding.” He stressed that the real advancements in AI come from utilizing unsupervised algorithms powered by deep learning and neural networks, which present far more promising avenues for developing human-like capabilities.
The Potential of Deep Learning
According to Murthy, deep learning technologies will possess the ability to address complex problems by employing unsupervised algorithms. He contrasted this with machine learning, which often necessitates vast amounts of data and typically deals with supervised algorithms.
Creating Decision-Making Models
Deep learning’s ability to process data can lead to the emergence of new branches of programs and conditions. This paves the way for systems that can make autonomous decisions, thereby enhancing their functionality and relevance.
Job Creation over Freebies: Murthy’s Take on Poverty
Transitioning from AI to socio-economic issues, Murthy discussed the pressing concern of poverty in India. He argued that the key to eradicating poverty lies not in providing government handouts, but in empowering innovative entrepreneurs to create new businesses.
The Role of Entrepreneurs
Speaking to the gathering of entrepreneurs, he stated, “Poverty will vanish like dew on a sunny morning if we are able to create innovative enterprises.” Murthy underscored the significant role that entrepreneurship plays in job creation.
Developing Sustainable Solutions
“I have no doubt that each of you will create hundreds of thousands of jobs,” he proclaimed, reinforcing the idea that genuine economic progress stems from innovation and entrepreneurship rather than fiscal assistance.
Current Economic Context in India
Presently, the Indian government supports 800 million people through monthly cash transfers. Murthy’s commentary comes amidst ongoing debates regarding the fiscal implications of such freebies.
Acknowledging Political Limitations
During his address, Murthy acknowledged his limited expertise on political and governance matters. He instead offered insights grounded in policy frameworks, aimed at fostering a more robust entrepreneurial ecosystem.
The Importance of Innovation
Ultimately, Murthy championed the cause of innovation, urging entrepreneurs to focus on developing solutions that can create value and uplift communities.
Conclusion
Narayana Murthy’s insights at TiECon Mumbai provided a thought-provoking perspective on both artificial intelligence and economic development in India. Emphasizing the importance of genuine AI advancements and entrepreneurial efforts, Murthy’s call to action resonates with the growing need for innovative solutions in the face of modern challenges.
FAQs
1. What are the two key pillars of true AI according to Narayana Murthy?
The two key pillars are machine learning and deep learning.
2. Why does Murthy believe many systems marketed as AI are misleading?
He argues that many of these systems are simply traditional programming and lack true AI capabilities.
3. What does Murthy suggest is necessary for poverty alleviation in India?
He emphasizes the role of innovative entrepreneurs in creating jobs, rather than relying on government freebies.
4. How does Murthy differentiate between machine learning and deep learning?
Machine learning often requires supervised algorithms with large datasets, while deep learning utilizes unsupervised algorithms to derive insights from data.
5. What is Murthy’s stance on the current debates surrounding welfare programs in India?
He believes that poverty cannot be effectively resolved through welfare programs, advocating instead for entrepreneurship and job creation as sustainable solutions.
