AI labs are chasing a slice of the corporate pie in Southeast Asia

Artificial intelligence labs are aggressively targeting the corporate sector in Southeast Asia, seeking to establish a foothold in the region's business landscape. The AI sector's success in grabbing market share, similar to Microsoft's Excel dominance, stems from its ability to become embedded in corporate operations. AI competes by becoming the layer through which employees read documents, analyze numbers, write software, and search internal knowledge. Once entrenched, vendors can build a comprehensive ecosystem around these AI models.

Subscriptions and APIs have gained popularity; however, enterprise contracts offer larger deals, longer relationships, and pose more significant sales challenges. Companies require assistance in integrating models, managing security reviews, training employees, and maintaining support even when initial projects face obstacles. Anthropic, a prominent AI company, is expanding its presence in Singapore by opening a dedicated office in October.

The company is focusing on building a partner network, certification, and a pool of trained individuals to implement its AI model, Claude. Anthropic's network allows it to extend its reach without establishing a large local team, as regional partners possess valuable insights into various sectors, including finance, airlines, and government agencies.

OpenAI is also developing its partner program, although Anthropic seems to have gained a head start in this regard. VGTech, a technology company, collaborates with both OpenAI and Anthropic, following a familiar structure that includes product learning, sales frameworks, and a pathway from product knowledge to customer deployment.

Microsoft's dominance in the corporate world was not achieved by implementing every piece of software independently. Instead, it constructed an ecosystem that could sell, customize, and support its software across various businesses through certifications, partner levels, sales materials, and numerous consulting firms. AI labs must adopt a similar ecosystem to succeed in the corporate sphere, as the product landscape is continually evolving, use cases are still unstable, and a 20-year implementation strategy does not exist.

While Mistral, another AI company, cannot compete with the financial resources of Microsoft, Google, or Amazon, it differentiates itself by emphasizing control. Customizable models, private deployment, and technological sovereignty are key aspects of Mistral's approach, which appeals to governments and regulated industries. Mistral's strategy has been successful, as evidenced by its partnerships with Singapore's defense and public safety organizations.

The Southeast Asian market, particularly in banks and public-sector organizations, presents a significant opportunity for AI companies to establish a strong presence. As corporate work becomes increasingly reliant on AI models, startups and smaller companies can capitalize on this emerging market and acquire customers.