big Tech’s Strategic Shift to AI Fuels Optimism Despite Job Cuts
Big tech companies are increasingly focusing on artificial intelligence (AI) as a key driver of future growth,even as they navigate periods of job cuts. Despite initial investor skepticism surrounding the relatively new technology, these companies have maintained, and in some cases improved, their financial performance, a trend reflected in recent stock market activity.
Analysts are observing early indications of a meaningful strategic shift within the industry. “The markets have begun to sense this AI-powered shift. Analysts are picking up early signals of a strategic turn, and stock prices have started to inch upward in anticipation. Yet the real re-rating will come only when these companies can prove that intent translates into impact,” explained Dr. Vikas Singh, adjunct professor at the Indian Institute of Public Management, and co-founder of Crux Management Services Pvt Ltd.
Dr. Singh emphasized the importance of demonstrable results. “The test will be in margins, deal composition, and the kind of projects they pursue - not in rhetoric or roadshows. investors will look for evidence that new investments in AI partnerships, automation, and proprietary platforms are adding measurable value. If these shifts begin to reflect in profit numbers over the next two or three quarters, the market’s faith will harden into conviction. Until then,optimism remains penciled in rather than inked.”
Professor Dhananjay Sahu, faculty of commerce at Banaras Hindu University (BHU), believes the profits generated by AI will be sustainable.”The profits driven from AI will sustain, given the magnitude of the use of AI in high-frequency trading, robotics, machine learning, etc. AI is the future. AI will drive the financial state of affairs provided that the stock market is concerned,” he stated.
However, professor Sahu also highlighted the unique challenges facing the Indian stock market. he noted the significant influence of foreign institutional investment and the need for India to invest heavily in AI to create a more competitive landscape. ”In the US, AI is largely seen as a cost-cutting strategy, and automation is promoted.But in our country, the demography is different, and India will have to invest heavily in AI to have a level playing field,” he said.
Professor Sahu further suggested a need to improve the skills of Indian stock traders. He believes American traders possess a stronger technical understanding, contributing to more rational market behavior. “Stock markets in the US, I believe, are rational. The traders there are more technically sound and able than the ones here in India. In markets like the National Stock Exchange (NSE) and the Bombay Stock Exchange (BSE), people have a very fragile knowledge about the stock market, which is why Indian markets generate ‘abnormal returns’, meaning they offer returns that are over and above the average return rate.”
He cautioned that while AI provides valuable information, it cannot replicate human intuition. “In AI trading, behavioural dynamics/finance aren’t frequently enough addressed. AI’s information can be ambiguous,depending on the data fed to it; AI simply can’t study the human brain. That’s why traders must be vigilant.”
