Artificial Intelligence: A Tool, Not Wisdom

AI is only a kind of mechanism. You are doing it with your brain. All knowledge of AI is borrowed from the human mind. You can train AI with certain data, but nothing in this world can do better than the human mind.

AI can be intelligent, but it cannot beat wisdom. Human intelligence is boundless, but AI has its limitations. This unique quality of intelligence differentiates us from AI.

The cost of AI growth is sky-high. AI also brings additional dangers with its growth. This bubble will burst after some time. AI has moved from pilots to large-scale use inside companies. The next big gaps are in application and protection against future threats.

The issue is not talent; it is timing. Specialized talent takes time to build. But this may not be the case two years later. Dissenting voices against AI are getting louder. I think it is not possible to stop it now, but we must develop solutions to control AI systems.

AI is useful on some platforms because it processes data at a scale impossible for humans to manage. It can do operations with smaller teams. But at the same time, 60% of acquisitions fail to deliver expected results from AI. When human supervision breaks down and AI agents run the firm, who will pay tax? Many people may lose their jobs. AI-driven reshuffling of senior management is also possible.

Actually, it is not the replacement of human capital, but the replacement of human capital with financial capital. Banks also expect to improve their income ratio. Due to the increasing risk in the financial system, a new battle between the human mind and AI will start.

India has nearly 40,000 unfilled cybersecurity jobs. AI equipment and technology for these data centres are doing well for now, but how long will AI take to succeed between mega data centres and rising talent needs?

Actually, AI is a lazy way out to do work quickly. On the other hand, job cuts would drive productivity improvements and raise income per employee by about 20% by 2028. But this uncontrolled potentiality of AI can be harmful for humanity.

We must improve the security system of AI before releasing it in public. No doubt, there is a sharp jump in productivity enabled by AI. A task that takes four hours can be completed in 15 minutes by AI. India is the second-largest user base for cloud AI.

Technology has always been meant as a tool for humans. But today, suddenly, we are looking at technology as a colleague. This is creating a gap between AI ambitions and execution.

If you look at AI evolution, it is going to reimagine the way work is being done. It has already begun restructuring task execution. It will have a direct impact on companies’ cost structures.

India’s greatest opportunity is not in building AI models, but in developing domain-specific applications. AI infrastructure should be viewed as a long-term strategic investment.

India may become one of the most important places in the world for the next phase of AI.

Humans must adapt to machines and speak the language of machines. It is like absorbing AI as infrastructure, not just using it as a tool. AI-powered ACs can adjust their cooling based on the time of day and keep people comfortable without wasting energy. The ultimate success of AI may therefore look surprisingly ordinary, when people stop talking about it and it quietly becomes part of everyday life.

India may need 40–50% headcount expansion over the next year to apply AI at scale. The gap between demand and supply is emerging as a major constraint. This shortage is most severe in production, and it is increasingly affecting companies’ ability to move AI projects beyond the pilot stage. There is currently only one qualified engineer available for every ten openings.

We are not merely collections of data points. Our decisions are shaped by fear, attachment, and moral dimensions. AI may advise, but it cannot bear responsibility. It resembles a physician who has studied our reports but cannot feel the pulse. Right and wrong actions can only be examined by our awareness.

AI does not have decision-making power. It can only give suggestions. The goal is to make AI cheaper, faster, and more accessible. Actually, we are living on borrowed AI. It will not end well. The U.S. ban on Anthropic models exposes our hidden vulnerability. 

India is becoming too dependent on frontier AI technologies being controlled from outside. The issue is not merely access to one Anthropic model, but the fact that a capability relevant to cyber defence and critical infrastructure security could be decided outside India. If access to such a model is suddenly restricted, entire workflows and dependencies could be affected.

Anyway, AI is creating fresh avenues for productivity and innovation, and reshaping industries. AI is shifting from intention to anticipation. Alexa and Google Assistant brought voice into the living room. At that time, it sounded like the future of smart homes. Today, AI can be genuinely useful.

Data centres are the visible temples of AI. India should avoid rushing into AI regulation, but organisations must build security and safety for AI systems and prepare employees before deploying AI widely. If something goes wrong in an AI system, where does accountability lie? We are not in a position to plug it out till now.

AI works without desire. It performs tasks, but it has no emotions. Any power should be guided by responsibility. If people use AI with good intentions, it can help society, but it depends on how human beings choose to use it. AI without wisdom can lead to disaster.

The rising cost of AI and acute chip shortage with AI driving cost are big problems. So firms investing in AI infrastructure are looking towards data centres. Demand is growing for professionals who are constantly re-skilling themselves to stay relevant. AI has dramatically reduced the time required to deliver a project. AI has become a trusted partner now.