In Silicon Valley, AI companies are poaching talent from tech giants

What does it mean for an AI company to “poach” talent from a tech giant?

“Poaching” means actively recruiting someone who already works for another company, often a rival. The person leaves the original employer and takes a valuable mix of experience, relationships, and market knowledge to the new company. Here, AI companies are drawing leaders from established technology firms.

The article gives a clear example. Sandhya Devanathan left Meta after a decade to become Axiom’s vice president for Southeast Asia and Australia. She was at least the ninth hire by a US AI giant from an American big tech company in Asia during the past year. These moves transfer regional experience into AI companies.

The competition is not only about researchers who build models. AI companies also need executives who can win partnerships, work with policymakers, and develop businesses. That makes experienced regional leaders highly valuable as Axiom and Paradox expand across Asian markets.

How many senior executives have US AI companies reportedly hired from American big tech firms in Asia over the past year?

At least nine hires by US AI giants came from American big tech companies in Asia during the past year. The article presents this as a measure of how quickly AI companies are building regional leadership teams. It names companies including Google, Microsoft, Amazon, and Meta as sources of talent.

One of the most prominent examples is Sandhya Devanathan. She left Meta after a decade and joined Axiom as vice president for Southeast Asia and Australia. Other examples include Axiom hires with backgrounds at WhatsApp, Google, and JioStar. The pattern shows that AI firms are recruiting people with operating experience, not only technical specialists.

The number is a reported minimum, not a complete count of every hire. Axiom and Paradox did not answer questions about their Asia-Pacific hiring strategy. Still, the figure signals intense competition for a small group of proven regional executives.

Why are Axiom and Paradox hiring executives in countries such as India and Singapore instead of focusing only on researchers and engineers?

Frontier AI labs in the United States have mainly competed for leading researchers and engineers. In Asia, the challenge is different. Companies must move from developing strong models to making those products useful and widely adopted in new markets. That requires local business leadership.

Executives must handle partnerships, policy, and business development. They also need to understand customers, regulators, and enterprise buyers. Deepali Vyas said companies entering strategic growth markets look for executives who can operate like “mini-CEOs.” Their job is to connect global technology with local conditions.

This explains the hiring from big technology firms. People who worked at Google, Microsoft, Meta, or Uber in Asia have already helped scale products and navigate regional markets. As Axiom and Paradox expand in countries such as India and Singapore, these leaders can accelerate adoption and strengthen policymaker engagement.

What skills make executives with experience at companies such as Google, Microsoft, Meta, or Uber especially valuable in Asian markets?

Executives from Google, Microsoft, Meta, or Uber bring more than recognizable company names. They have seen how large technology businesses allocate resources, manage risk, scale products, and build commercial relationships. Experience in Asia adds knowledge of local customers, governments, partners, and business practices.

The article calls this “dual institutional literacy.” A leader must understand how a US-headquartered company makes decisions while also knowing how local markets turn global strategy into practical results. Sandhya Devanathan’s background included consumer platforms, gaming, commerce, messaging, payments, advertisers, and partnerships.

That combination is especially useful while AI companies enter new markets. These executives can build partnerships, engage policymakers, and develop enterprise trust. They may also help products fit local needs. The article suggests companies are seeking this experience broadly, rather than simply poaching people because they once worked for a famous technology firm.

What happens to competition among technology companies when several firms recruit from the same small pool of experienced leaders?

When several technology companies recruit from the same small leadership pool, hiring becomes more competitive. Each company is pursuing people who already know how to run large operations, work with regulators, and build trust with customers and partners. That experience cannot be created quickly.

Neeti Sharma, CEO of TeamLease Digital, said large technology companies increasingly compete for the same relatively small group of proven executives. The article describes leadership scarcity as especially pronounced. This helps explain why AI companies are hiring from established big-tech teams in Asia.

The immediate result is a concentrated talent war around experienced regional operators. Over time, the pool may grow as leaders emerge from global capability centers, software-as-a-service companies, startups, and digital businesses. Until then, companies recruiting in Asia must compete for a limited number of people who can turn global AI strategies into local growth.

Where else could AI companies find future regional leaders besides established American technology giants?

AI companies do not have to depend forever on executives from American technology giants. The article identifies several other sources of future regional leaders: global capability centers, software-as-a-service companies, startups, and digital businesses. These organizations can give managers experience in technology, operations, customers, and growth.

Neeti Sharma said the leadership pool should expand as people develop through these sectors. Such candidates may not have the same big-tech background as current recruits, but they can build relevant experience over time. They may learn to manage teams, develop products, serve enterprises, and operate across complex markets.

This creates a longer-term alternative to repeatedly recruiting from Google, Microsoft, Meta, or Amazon. The current shortage remains significant because leadership experience takes time to develop. As more regional businesses mature, AI companies may find a broader set of leaders who understand both technology and local commercial realities.

Why do AI companies need local leaders who understand both global technology businesses and local customers, governments, and partners?

Global AI products do not automatically become successful in every country. Companies need leaders who understand how headquarters allocates capital and risk, while also knowing how local customers, governments, and partners make decisions. This combined knowledge helps translate an international strategy into regional action.

Sanchit Vir Gogia described the prized asset as “dual institutional literacy.” Arjun Jaggi similarly highlighted executives who have run country-level profit and loss, negotiated with Indian regulators, and built enterprise trust at scale. Those skills connect technical capability with the conditions needed for adoption.

Local leaders therefore matter for more than sales. They can guide partnerships, policy engagement, business development, and product scaling. As Axiom and Paradox pursue markets such as India and Singapore, executives with both global and local understanding can reduce the gap between building AI systems and making them useful in everyday regional markets.

Key Facts:

📌 Poaching means recruiting valuable employees away from another company.

📌 Sandhya Devanathan moved from Meta to Axiom.

📌 AI firms seek leaders who can build regional businesses.

📌 US AI giants made at least nine big-tech hires in Asia.

📌 The hires occurred during the past year.

📌 Axiom and Paradox did not discuss their hiring strategy.

📌 Asian hiring emphasizes market adoption over model development alone.