00:00Well, it hurts from some investors and founders that AI could eat software companies up because they could eventually automate what software companies have been doing for decades. Do you see that happening?
00:15Hustling the half truth, half to be discovered. The reason I consider half truth is because some of the routine jobs would be done by AI and the reality is that as an individual consumer, you know, all the LLMs, whether it's ChatGPT or whether it is any other equivalent LLM,
00:45all of us started using LLMs in our research, in our, you know, responses, in our automating, some of the work that we do. Enterprise was a little slow to adopt.
01:02Now with the entropic announcements, we believe that the enterprise will start adopting AI in a little better way. So there will be a shift. But will that shift happen in one year or two years?
01:21I think we have to take into account that there is a lot of regulator pressure also on the enterprises. In India, we have this act called DPDP Act, which is really about data protection.
01:37And these acts clearly need to be adopted to the latest wave of automation. But if you go back and look at the budgets that have been allocated to AI or IT, there is a growth there.
01:56There is a growth in AI budget, there is a growth in IT budgets. So yes, some of the SaaS companies will be under pressure. But my belief is either the infrastructure companies, data center companies, and the Indian IT companies will actually benefit.
02:19At some point, AI might just still be an existential threat to some of the companies. No, I mean, it is advancing so rapidly.
02:32I'm not denying it. I'm also saying is that there are new applications being created. So let's take a simple example.
02:41Today, you have a host of structured data and host of unstructured data. It takes an army to manage data. Now, or migrate from one platform to another.
02:59Number three is to harmonize across various data sources. Now, my belief is some of this work will get automated.
03:11But where you will need a lot more compliance is on data security or creating new platforms or growth for new sales engines. So while you lose some, you will gain a lot.
03:28CP, is there a chance that we might see software companies and AI companies in partnerships? Or might they be competing against each other even more in the future?
03:41As long as long as there is a growth market. I mean, I created or I, you know, I've become a AI native company called Ionos, as you said in the introduction.
03:58And personally, I think there is a potential for serious partnerships. There is a potential for AI native companies like ours to deploy new and newer, you know, data flow solutions.
04:20And I think I personally believe a company like Tech Mahindra will also spend a lot of time, as you would see, India selected about eight LLMs as a part of the India AI mission.
04:38And one of them is from Tech Mahindra.
04:40CP, just in about 20 seconds, I mean, how should a software company position itself?
04:49What should be its priority to remain relevant in an AI future landscape?
04:54I can only speak for Ionos, as Ionos is positioned as a next generation AI company.
05:06We are here to deploy the AI tools and humanize the AI tools and focus more on customer experience, focus more on customers' business growth,
05:20and also look at, you know, a better cybersecurity.
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