TLDR: Indian AI startups are encountering significant challenges in securing US visas, impacting their ability to expand and access critical markets and talent. Tightened immigration rules under the Trump administration, including longer wait times for B1/B2 visas and increased denial rates for O-1 specialty visas, are forcing companies to recalibrate their strategies, including hiring more engineers in India instead of the US. This situation also raises concerns about the US potentially losing its AI talent advantage to other nations actively attracting skilled immigrants.
Indian Artificial Intelligence (AI) startups are facing substantial immigration obstacles, particularly with US visa regulations, as they strive to establish and grow their presence in the United States. These challenges are largely attributed to the tightened visa rules implemented by the Donald Trump administration, which are restricting access and increasing administrative burdens across various visa categories.
Founders and investors emphasize the critical need for physical presence in the US, as it often represents their largest market and a hub for AI development and venture capital. Aravind Jayendran, cofounder of agentic AI startup LatentForce, highlighted his struggle to secure a B1/B2 business visa for crucial client meetings within three months, citing appointment wait times ranging from three-and-a-half to nine months in India. Siddhant Mohan of Qodex, an API testing and security company, noted the increasing difficulty and higher denial rates for O-1 specialty non-immigrant visas, which are preferred by many Indian founders for setting up operations in the US.
Data from the US Citizenship and Immigration Services indicates a rise in O-1 visa approvals for Indian applicants, from 210 in 2018 to 1,375 in fiscal year 2024. However, the denial rate for O-1 visas has also climbed from 4.5% in FY23 to 5.8% in FY24, reflecting stricter scrutiny. Joel Yanovich, an attorney at Murthy Law Firm, confirmed observing these delays due to intensified examination of O-1 cases.
Adding to the difficulties, the US Department of State has mandated that visa applicants must apply from their country of residence or citizenship, eliminating the previous option to apply from third countries like Vietnam or Thailand. This change further complicates the process for Indian founders seeking US visas.
These immigration hurdles are also prompting a shift in hiring strategies. Himanshu Tyagi, cofounder of Sentient Labs, which has a research and development center in San Francisco, expressed concern over potential visa issues for PhD researchers, many of whom are not from India. He pointed out the possible elimination of the Optional Practical Training (OPT) clause, which previously allowed F-1 student visa holders to work in the US for two years before applying for an H-1B visa. Tyagi stressed that there is no alternative to hiring PhD candidates for AI research, and while local talent is an option, it is significantly more expensive, and time is of the essence in the rapidly evolving AI sector.
Mohan also stated that Qodex is recalibrating its US hiring strategy, opting to hire local talent for business development but increasing engineering hires in their Indian offices instead of the US, partly due to the Trump administration’s plans to raise wage criteria for employment visas.
Also Read:
- Harvard Study Reveals AI’s Disproportionate Impact on Entry-Level Employment
- xAI Establishes Seattle Engineering Hub, Offering Salaries Up to $440,000 in Fierce AI Talent Market
This situation poses a risk to US AI competitiveness, as 60% of America’s top AI companies have at least one immigrant founder. Countries like Canada and Japan are actively capitalizing on these US visa restrictions by implementing initiatives such as Canada’s Tech Talent Strategy and Japan’s green card system for skilled professionals, aiming to attract the high-skilled immigrants who might otherwise have chosen the US. This global competition for AI talent underscores the long-term structural disadvantages that restrictive immigration policies could create for AI startups in the US.
