Feels Deja Vu…
in the 1990’s when Computer started, everyone said, everyone else will lose jobs…
Did B.com, but went for short term Cobol Programming course (short term) just to put it in my CV…that I knew something about computer…What happened, nothing, people just adapt and got jobs…
What this guy might be saying could be true, IT services will vanish,but there is always something else which will come up…Hope TCS or Infosys or Wipro, will not be sitting and doing the same thing they are doing now until 2030. I am sure they will adapt and change and do things what businessess or people want at that time…
Yeah there will be exceptions like Nokia,…they were kind of the first in mobile technology, did nothing and competition almost killed them. Hope TCS, Infosys or Wipro does not follow this route… (i am invested in all three)
Six months ago, I had a conversation with someone whose job seemed threatened by AI. At the time, I believed AI would always struggle with deep complexity—like going three levels deep in an object tree or handling code beyond 1000 lines. It felt like a limit where humans would still be needed to iterate, refine, and keep things focused.
Now, after seeing breakthroughs from companies like Anthropic, it’s clear: the train is arriving at the platform sooner than expected.
Please do not fall for such sensationalist headlines 
Technology is constantly evolving.
2010’s IT-Service/BPO had vanished by 2020.
Similarly, it is no surprise that the 2020’s IT-service/BPO vanishes by 2030.
Also, before anyone goes ahead and bets their life-savings on some moonshot project
based on the highlighted phrases in the above screenshot,
please also pay some attention to some of the other phrases like “someday” and “Musk said”
Please do NOT fall for the “AI” hype-cycle without understanding what’s at play.
Technology has been evolving all the time for decades/centuries.
Also, it will likely continue to.
One of the reasons (among others) for “AI” dominating the current hype-cycle,
is due to cherry-picking what works/succeeds and labeling it “AI”.
That said, there is a lot of focus and money behind advancing LLMs.
This is likely to end-up resulting in LLMs being omnipresent due to sunk-costs.
However, it is still unclear what part(s) of the supply-chain responsible for development and deployment of LLMs will be able to extract value (and what fraction of the gains) from the mass-production/adoption of LLMs.
Would you trust your baby with a Clanker?
what meaning
Their article shows Clankers can do baby sitting.
Tesla cant sell 1 million per year in 2026 or 2027. It will take time.
IFYKYK 