As many as 2 billion artificial intelligence (AI) agents could eventually be deployed globally, with AI writing half the code, according to Sriram Raghavan, general manager of IBM Software India and Software Innovation Lab.
https://www.business-standard.com/companies/news/ai-will-create-more-software-transform-developers-roles-ibm-s-raghavan-126110201332_1.html
Sriram spent many years in IBM Research in New York and in India before that. Over half of his tenure as an executive was here in the US. He moved back to India last year because that’s where this new leadership role was being introduced. Putting much software innovation in India was a decision above Sriram’s exalted pay grade. The decision to cost US jobs wasn’t made by him.
He’s moderately bright. He uses his smarts to craft PowerPoints and elevator pitches that further the spread of the pet views of influential but ignorant Sr VPs.
He’s great at pushing the party line. He’s good at doing nuts and bolts work to further straightforward jobs — I helped him and his team through some bleeding edge technology back before he became an executive. He did a thorough job. But he’s a lousy technical visionary. He is not a generator of good ideas not grounded 90+% in current, existing state of the art. When Sriram talks as technical visionary be cautious unless he is acting as mouthpiece for another person’s ideas.
@ds is Sriram the equivalent of Bob ?
A guy named Sriram based out of Bengaluru being responsible for "software innovation" tells you all you need to know about IBM.
OK great, so are we expecting to see less Indians then?
That would be great!
@OP AI is just a compute refinery, much like petro chemicals. The price will drop year after as businesses do what businesses do: look for the cheapest price. AI is like the beta machine: replaced by VHS, then DVD, and so forth. This doesn't even consider companies using "AI in a box" bypassing the cloud based ai entirely. The hold AI thing as it is now, is designed to monetize and monopolize. And in the end, with few exceptions, AI can only cut costs. If a business uses AI and reduces staff from 300 to 200. There savings will be 100 salaries x $100k a year. Yet the cost of the AI infrastructure cost far exceeds that savings, even x 1,000 more companies. So the math doesn't math.