As fears around layoffs and economic uncertainty grow globally, Sridhar Vembu has warned that the world may be heading into a difficult phase and that artificial intelligence alone cannot fix deep-rooted economic problems. The Zoho founder said the “economic picture is getting grimmer” and urged people to “prepare for tough times ahead.”
In a detailed post on social media, Vembu questioned why many people in the United States — including college students — have started viewing AI negatively despite the country leading the global AI race. According to him, one major reason is that companies are increasingly linking layoffs to AI, a move he described as both “convenient” and useful for appearing “visionary.”
Vembu argued that the real issue behind job cuts is mounting economic pressure, something even Zoho is experiencing firsthand. He said the massive investment frenzy around AI has temporarily kept the US economy afloat, but warned that such momentum may not last forever.
Taking a broader historical view, Vembu said the world is witnessing the gradual weakening of the post-World War II global economic and political order. He pointed out that the process did not begin recently and was already visible during the 2008 global financial crisis. “Think in decades,” he said, adding that even transformative innovations like the iPhone-driven mobile revolution could not prevent the financial crisis back then.
He also stressed that AI should not be seen as a magical solution to global economic imbalances. Instead, he called for realistic discussions and preparedness for difficult years ahead. At the same time, he added that he would be happy to be proven wrong and invited people to present alternative ideas.
The post triggered intense debate online. One user argued that predictions about economic collapse should be backed by macroeconomic data and expert analysis rather than sounding like a “hunch.” Another commented that the real danger is not AI itself, but the fact that governments, institutions, and companies are unprepared for the speed of technological transition.
A third user said public trust in AI could erode if companies continue using it as the explanation for every difficult financial decision. According to the comment, workers are more likely to accept change when companies clearly explain whether the reasons are shrinking demand, falling margins, restructuring, or genuine automation.
In a detailed post on social media, Vembu questioned why many people in the United States — including college students — have started viewing AI negatively despite the country leading the global AI race. According to him, one major reason is that companies are increasingly linking layoffs to AI, a move he described as both “convenient” and useful for appearing “visionary.”
Vembu argued that the real issue behind job cuts is mounting economic pressure, something even Zoho is experiencing firsthand. He said the massive investment frenzy around AI has temporarily kept the US economy afloat, but warned that such momentum may not last forever.
Taking a broader historical view, Vembu said the world is witnessing the gradual weakening of the post-World War II global economic and political order. He pointed out that the process did not begin recently and was already visible during the 2008 global financial crisis. “Think in decades,” he said, adding that even transformative innovations like the iPhone-driven mobile revolution could not prevent the financial crisis back then.
He also stressed that AI should not be seen as a magical solution to global economic imbalances. Instead, he called for realistic discussions and preparedness for difficult years ahead. At the same time, he added that he would be happy to be proven wrong and invited people to present alternative ideas.
The post triggered intense debate online. One user argued that predictions about economic collapse should be backed by macroeconomic data and expert analysis rather than sounding like a “hunch.” Another commented that the real danger is not AI itself, but the fact that governments, institutions, and companies are unprepared for the speed of technological transition.
A third user said public trust in AI could erode if companies continue using it as the explanation for every difficult financial decision. According to the comment, workers are more likely to accept change when companies clearly explain whether the reasons are shrinking demand, falling margins, restructuring, or genuine automation.
