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Saturday, June 27, 2026 12:02 PM

Jensen Huang

Nvidia Grants Stock Bonuses to India Staff, Payouts Reach Up to ₹1 Crore

Nvidia has rewarded a large section of its nearly 10,000 employees in India with a one-time stock grant, with payouts ranging from over ₹5 lakh to as high as ₹1 crore over the vesting period, according to data from 6figr. The special reward, known as the “Jensen Special Grant,” was introduced in 2024 by CEO Jensen Huang. It offers employees an additional 25% of their initial restricted stock units (RSUs), reinforcing Nvidia’s push to retain top talent in the competitive AI and semiconductor space. How the Grant Works The stock grant is structured to vest over four years, beginning September 18, 2024, with 6.25% released initially, followed by quarterly installments through 2028. The valuation was calculated using an average Nvidia share price of $898.2, with conversions based on an exchange rate of ₹82.9 per dollar. In one example, a mid-level employee received eight additional RSUs worth approximately ₹5.3 lakh, on top of an annual equity grant valued at around ₹21.5 lakh. The employee’s total unvested equity reportedly exceeded ₹1.2 crore, highlighting how stock incentives are becoming central to compensation. Equity Driving Wealth Creation India is witnessing a surge in equity-driven wealth creation, particularly in global AI and semiconductor firms. At Nvidia India, stock-based compensation now makes up 50% to 75% of total pay, especially for mid- and senior-level roles. Highly skilled engineers—particularly in chip design and artificial intelligence—are seeing the biggest gains. Top professionals in these domains can earn between ₹2 crore and ₹3 crore annually, with senior engineers (IC6 level) averaging around ₹1.8 crore. Industry experts say this marks a shift in compensation strategy. Equity is increasingly replacing fixed salaries, aligning employees more closely with company growth and long-term value creation. Pay Trends Across Experience Levels Entry-level (IC1, 0–3 years): ₹10–22 lakh Early to mid-level (IC2, 1–8 years): ₹23–32 lakh Mid-level (IC3, 4–8 years): ₹27–51 lakh (top performers up to ₹85 lakh) Experts, including leaders from KPMG, note that in deep-tech sectors, the gap between average and exceptional talent is widening—making equity not just a retention tool, but a primary driver of wealth. While Nvidia has not officially commented on individual compensation details, the trend reflects a broader shift in the AI economy, where employees are increasingly becoming stakeholders in the companies they help build. Source: TNN

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Digital Colleagues Incoming: Nvidia CEO Says AI ‘Employees’ Will Work Alongside Humans, IT to Become HR for Agentic AI

Nvidia CEO Jensen Huang has offered a bold vision of the corporate workforce’s future — one where digital employees powered by artificial intelligence (AI) will work hand-in-hand with humans. These AI “agents,” he says, will not only perform professional roles but also undergo formal hiring and onboarding processes to learn company values, culture, and workflows. Huang believes this emerging “agentic AI workforce” could create a trillion-dollar market opportunity. In a recent conversation with Citadel Securities, Huang said he expects future enterprises to employ digital nurses, lawyers, accountants, and marketers — some licensed from AI developers, others trained in-house. “You’ll hire some and license some, depending on their expertise,” he explained. “The future workforce will blend humans with digital humans.” Huang emphasized that these AI agents will need structured orientation and integration, much like their human counterparts. “I tell my CIO that our IT department will one day be the HR department for agentic AI,” he remarked. “Our digital employees will collaborate with our biological ones — that’s the future shape of our company.” These AI “workers” could come from multiple platforms, including OpenAI, Harvey, OpenEvidence, Cursor, Replit, and Lovable. Some may be internally developed — Nvidia already employs more AI cybersecurity agents than human experts to protect its data and systems. The conversation around agentic AI — self-directed, task-performing digital entities — is gaining traction across the tech industry. Salesforce CEO Marc Benioff said at the World Economic Forum in Davos that the current generation of executives will likely be the last to lead all-human workforces. “From now on, leaders will manage both human and digital employees,” Benioff said. Similarly, Anthropic CEO Dario Amodei predicted that by 2026 or 2027, AI systems will surpass humans “in almost all domains,” underscoring the rapid pace at which artificial intelligence is evolving toward autonomy and workplace integration. Source: TOI

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