AI job cuts may hurt now but signal a new entrepreneurial future says Perplexity CEO

As artificial intelligence begins to reshape the nature of work, Aravind Srinivas, co-founder and CEO of Perplexity AI, has framed the disruption not as a crisis but as a transition toward what he calls a “glorious future”.

Speaking on the All-In podcast, Srinivas said many people are already disengaged from their jobs and argued that AI tools are creating a new pathway—one where individuals can learn quickly, adapt, and build small independent ventures, even if it involves short-term job losses.

“Most people don’t enjoy their jobs,” he said, adding that AI presents “a new possibility” to use emerging tools and start “your own mini business.” Acknowledging the risk of job cuts, he said the long-term outcome is still something to “look forward to.”

His argument does not dismiss the anxiety around job losses. Instead, it reframes the disruption as a forced pivot—away from traditional employment and toward self-driven economic activity.

A shift in how work is being understood

Across corporate hubs—from Mumbai to Delhi NCR, Bengaluru and Pune—the idea of breaking away from routine employment has long existed, often sidelined by concerns over stability. AI, however, is beginning to lower the barriers that once made such transitions difficult.

Today, individuals can write, design, code, analyse data and manage operations using AI tools that previously required entire teams. This has significantly reduced the cost and complexity of starting a digital service, freelance practice or online business.

The concept of a “mini business” emerges from this shift—not necessarily building large enterprises, but enabling individuals to create income streams with minimal resources.

However, the transition remains uneven. Access to AI tools does not guarantee success. Skills, time, financial cushioning and risk tolerance continue to shape outcomes, and these are not evenly distributed.

Recent data from Challenger Gray and Christmas highlights the scale of disruption. US employers announced 60,620 job cuts in a single month, a 25% increase from February. Of these, 15,341 layoffs—roughly a quarter—were directly linked to AI-driven changes.

Major technology firms are already recalibrating their workforce strategies. Amazon cut around 16,000 corporate roles earlier this year, while Meta has discussed workforce reductions running into tens of thousands as it deepens investments in AI.

Oracle Corporation has also carried out large-scale layoffs, with about 30,000 job cuts globally, including 12,000 in India—reflecting a broader industry trend where hiring slows while automation spending accelerates.

In India, the unemployment rate for individuals aged 15 and above stood at 3.1% in 2025, suggesting macro-level stability. Yet such aggregate figures often mask the friction individuals face when industries evolve faster than their ability to reskill.

The ‘glorious future’ question

What Srinivas describes as a “glorious future” is not a guaranteed outcome but a directional shift. Its success depends on whether individuals can access AI tools, acquire new skills and sustain themselves through periods of uncertainty.

Artificial intelligence, in this context, acts as both disruptor and enabler. It eliminates certain roles while simultaneously compressing the distance between skill and execution—allowing individuals to do work that once required entire departments.

The real question is no longer whether change is happening—it is already underway—but how evenly its benefits will be distributed, and how prepared people are to navigate it.

For many, the idea of leaving a job may remain a distant thought. For others, it could become a necessity. And for a smaller segment, it may open new doors.

Somewhere between disruption and opportunity lies the space Srinivas points to—uncertain, evolving, but undeniably transformative.