Former Google X executive Mo Gawdat says humanity has only three years to prepare for the next wave of AI disruption. (Representative image created using AI by Divya Bhati).

Humans have only 3 years left before AI disrupts entire world: Former Google X business chief

Former Google X executive Mo Gawdat believes the change today's AI tools are bringing is just the beginning. He warns that AGI-level systems could arrive within a few years, triggering job disruption, economic upheaval and social change on a scale most people are not yet prepared for.

by · India Today

In Short

  • Former Google X executive Mo Gawdat says AI could surpass human capabilities across most tasks within the next few years
  • He predicts entry-level white-collar roles could face major disruption
  • Gawdat says human skills like empathy, creativity and communication will become more valuable in the AI era

AI tools are transforming how we work and live our lives. ChatGPT, Claude, Gemini, Grok and a growing number of other AI tools are helping us with everything from writing emails and analysing documents to planning trips and managing everyday tasks through AI agents. However, former Google X business chief Mo Gawdat warns that, as impressive as these tools may seem, they are only scratching the surface of what AI will eventually become.

He predicts that humanity has just three years left before AI becomes powerful enough to disrupt industries, eliminate millions of jobs and reshape society as we know it. Speaking on The Diary of a CEO podcast, Gawdat said AGI (Artificial General Intelligence) is either already here in practical terms or will arrive very soon. "I'm still sticking to AGI 2027," he said, warning that the transition could bring job losses, economic disruption, social unrest and the wider use of AI in warfare before any long-term benefits begin to emerge.

According to Gawdat, the bigger danger is not AI itself but the way powerful companies and governments choose to use it. He argues that while the public largely experiences AI through chatbots and viral videos, what is happening inside research labs is far more significant. Systems are increasingly able to improve their own code, test changes and deploy better-performing versions at remarkable speed.

"What the real geeks see inside the lab is just unbelievable intelligence," Gawdat said. "The hype on the normal human side is completely overrated, missing the main topics, and the silence inside the vault of the geeks is quite alarming."

That gap between public perception and actual capability, he believes, is one reason many people still fail to grasp the scale of change that may be approaching.

AI is coming for jobs

One of Gawdat's biggest concerns is employment. He suggested that the first major impact will be felt in entry-level knowledge work rather than blue-collar professions. Jobs such as call centre agents, administrative assistants, travel agents and other routine computer-based roles could disappear quickly, while skilled trades such as carpentry may survive for longer because robots still struggle with many complex physical tasks.

He also argued that paralegals, financial analysts, graphic designers, composers, middle managers and even some doctors involved in diagnosis could see their workloads significantly reduced as AI enables one person to do the work that previously required several employees.

No direct job losses, but a gradual shift

But this disruption of jobs he suggests will not be direct but gradual. Gawdat believes the disruption may first appear through hiring freezes, particularly at the bottom of the white-collar ladder, as businesses increasingly replace labour with compute power.

"What we saw in the last couple of years is that companies were not hiring entry-level jobs anymore. It wasn't job losses yet, but that basically meant the workforce was not growing," he said.

He warned that governments need to prepare for such a scenario in much the same way they responded during the Covid pandemic. High unemployment combined with inflation, he said, could trigger serious social unrest if policymakers fail to act.

AI will come for manual jobs as well

While Gawdat believes white collar jobs will be first to hit, the same disruption he suggest will eventually spread to manual work through robotics, though often not in humanoid form. He pointed to self-driving cars as an example of robots already operating in the real world and predicted that specialised machines will increasingly replace drivers and perform military, logistics and law-enforcement tasks before many people even realise jobs are being lost to automation.

However, the outlook is not entirely bleak. Despite his warnings, Gawdat remains optimistic about AI's long-term potential. He believes abundant intelligence could eventually help solve some of humanity's biggest challenges, accelerate scientific discoveries and create a more prosperous future.

So how do you survive in an AI-powered world? Gawdat's advice for younger generations entering the workforce to learn how to use AI rather than compete with it. He says people should focus on understanding how humans and AI will work together, while doubling down on skills that machines still struggle to replicate. Empathy, communication, creativity and genuine human relationships, he argues, will remain valuable long after AI becomes better than humans at many traditional workplace tasks. In the years ahead, those uniquely human qualities could become your biggest advantage.

- Ends