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The world's largest tech companies have poured hundreds of billions into making machines smarter. They will want to see tangible returns by putting machine aptitude to work. They will engineer adoption and deployment of AI tools across businesses that rely on human intervention. It would be hard to resist productivity gains of machines that deliver tasks at a fraction of the cost and time of humans. And even harder to stall AI's march to tackle complex tasks with general intelligence we attribute to humans.
Machines can now perform, with greater ease, speed and accuracy, the tasks that India's middling workforce in business and knowledge outsourcing farms has long handled. It can do more. AlphaFold, an AI program of DeepMind, predicted structures of 200 mn proteins in two years, in what would have taken scientists centuries, using traditional experimental methods.
Tech czars of the world have hinted at the fallout of rapidly developing ML. Mark Zuckerberg declared that this year, most middle-level coding would be done by machines. Bill Gates casually remarked that AI's capabilities would free up people to do more 'creative tasks'. Neither prospect bodes well for India's white-collar backend workers on the wrong side of the talent divide.
Our brightest emigrate overseas, where they learn to think creatively, access millions of dollars in
