Why Asia provides exciting opportunities for Artificial Superintelligence Alliance to scale

In May, UK-based AI company Fetch.ai announced a merger with SingularityNET and Ocean Protocol to form the Artificial Superintelligence Alliance, a move that it described would create the largest independent player in AI research and development.

The Alliance aims to complement big tech’s dominance in AI by developing a scalable, decentralised AI infrastructure, accelerating the path toward Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI). With this merger, their tokens will merge into the Artificial Superintelligence token ($ASI).

“Decentralisation is an interesting and useful tool to deploy to these solutions at scale. And that is what we are trying to do,” Humayun Sheikh, CEO & Founder of Fetch.ai and ASI Chairman, told e27 at the sidelines of the SuperAI event at Marina Bay Sands in Singapore on June 6.

“It is not a matter of which one is going to a better [approach] than the other, because in some cases it will definitely be better while in other cases, it will be less efficient. Both are going to make this space grow.”

Fetch.ai builds open infrastructure for intelligent, connected applications, empowering developers and businesses to create, deploy, and monetise next-generation AI agents.

In our conversation, Sheikh explained more about the objectives of the Superintelligence Alliance and its current roadmap.

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The following is an edited excerpt of the conversation:

What specific problem does the initiative aim to tackle?

AI is here to stay. People are going to build AI and AI-first solutions. Rather than making old technology fit in with the new AI paradigm, you need to build solutions from the ground up. So, you need to build solutions that use AI right from the beginning.

So, if we say that it is what will happen, then we need tools and platforms to build with. That is the solution we provide.

What will be your first project from this initiative?

We have already got plenty of projects out there, so it is not like we are building one big project. There are multiple tools that are already available, and it is not going to be one specific launch. We are just going to keep releasing technology as we build it.

We will launch some very interesting solutions for small and medium-sized businesses (SMBs) within a few months.

We have already launched an AI-first, agent-based recruitment solution. We will be helping small businesses onboard onto AI, so we are building solutions for that. Our focus is mostly on SMBs who do not have the resources to build their own models or spend huge amounts of money building AI solutions but could still benefit hugely from this new technology.

What is your user acquisition strategy, especially for SMEs?

We have a very big community. When we put all these three projects together, we have half a million community members, plenty of people who know what the project is. So, it is not that we need to start from the beginning.

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We already have a developer community working on these projects. So, the acquisition strategy is to keep releasing more technology and products and onboarding more people.

When it comes to acquiring users, are there any specific challenges that you are facing?

The challenge when new technology arrives is always the legacy systems, and legacy systems do not go away very easily. So, you need to find a fit. You have to try and work with what you have and develop new things around it. That is going to be the challenge.

But the good thing is that, with AI on the rise and everybody understanding that there is value to be captured, we are seeing a much better reception than what we have seen in past technologies.

Do you have any plans for the Asian market, particularly Southeast Asia?

Yes, Asia is one of the biggest targets for us.

If you think about legacy infrastructure, Singapore has a mature infrastructure, but if we are talking about it, let us just say, India’s technological infrastructure is still very weak. It opens up a very interesting marketplace for AI to penetrate as you do not have the hindrance of legacy infrastructure. You can build new solutions in new ways, which can be very difficult when you have a mature legacy infrastructure. This is why Asia is a very important target for us: because of its scale and ability to deploy a solution quickly.

We will focus heavily on Asia Pacific countries. We are looking into India, Pakistan, and perhaps Thailand and Indonesia, where the technology is still in its infancy, although we have plenty of developers there.

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