H-1B Lottery
What is the H-1B lottery?
The H-1B lottery is the random selection process the US government uses to allocate a limited number of H-1B work visas each year when the number of employer petitions submitted exceeds the annual statutory cap. Because demand for H-1B visas routinely exceeds the available supply, US Citizenship and Immigration Services relies on this randomized lottery to determine which petitions proceed to full processing, regardless of how qualified the underlying candidate might be.
Why the H-1B lottery frustrates so many companies
The fundamental frustration with the H-1B lottery is that it's genuinely random, not merit-based. A brilliant, highly qualified engineer with a strong job offer has exactly the same odds of selection as a less exceptional candidate, since the lottery doesn't distinguish between petitions on the basis of qualification once they're all entered into the pool. Companies invest real time and money preparing a candidate's petition, only to have the entire outcome decided by chance rather than the substance of the application itself.
How the H-1B lottery process actually works
Employers seeking to sponsor a candidate through the H-1B program must first register the individual during a designated registration period each year. If registrations exceed the annual cap, which they consistently do, the government conducts the H-1B lottery drawing, and only petitions selected in that drawing are permitted to proceed with the full application process. A candidate not selected in the H-1B lottery simply has to wait until the following year to try again, with no guarantee of a different outcome next time around.
Why companies increasingly build alternatives to relying on the H-1B lottery
The unpredictability of the H-1B lottery has led many companies to explore alternative hiring strategies for accessing skilled international talent, particularly building offshore teams in a candidate's home country through an Employer of Record. This approach sidesteps the entire H-1B lottery uncertainty, since the candidate never needs a US visa at all if they're working remotely from where they already live.
For a candidate based in India specifically, this alternative is particularly clean. Rather than entering the H-1B lottery and hoping for selection, then waiting through subsequent processing even if selected, the company can simply hire that person through kaam.work as a compliant Indian employee, with them working from India rather than needing to relocate to the US at all.
The strategic shift the H-1B lottery has driven
A growing number of companies now treat the H-1B lottery as a secondary option rather than the primary path for accessing skilled international talent, specifically because the odds of selection have grown less favorable as registration volumes have increased over recent years. Building a genuine India-based hiring capability provides a reliable alternative that doesn't depend on winning a random drawing each year.
Frequently asked questions
- Is the H-1B lottery based on candidate qualifications?
- No, it's entirely random once petitions are registered, meaning a highly qualified candidate has the same odds of selection as any other registered petition.
- What happens if a candidate isn't selected in the H-1B lottery?
- They generally have to wait until the following year's registration period to try again, with no guarantee the outcome will be different.
- Why do companies build alternatives to the H-1B lottery?
- The unpredictability of the process has led many to pursue offshore hiring through an Employer of Record, avoiding US visa dependency entirely.
- How does hiring in India avoid the H-1B lottery question entirely?
- The candidate continues working from India rather than needing to relocate to the US, so no visa sponsorship or lottery entry is required at all.
- Has the H-1B lottery gotten harder to win over time?
- Registration volumes have generally increased in recent years, making selection odds less favorable and pushing more companies toward alternative hiring strategies.