Blossom Accelerator CEO: Saudi Arabia is building AI companies to dominate globally
Saudi Arabia’s positioning as an AI hub is underpinned by structural advantages that extend beyond capital, reveals Emon Shakoor
07 April, 2026
TT
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As Saudi Arabia accelerates its ambitions to become a global artificial intelligence powerhouse, the declaration of 2026 as the “Year of Artificial Intelligence” is being viewed as more than symbolic—it marks a structural shift in how the Kingdom is building and scaling its innovation economy.
According to Emon Shakoor, CEO of Blossom Accelerator, the move reflects a transition from strategy to execution, creating a fundamentally different operating environment for both founders and investors.
“Saudi Arabia declaring 2026 the ‘Year of Artificial Intelligence’ is a definitive signal that the Kingdom has moved from planning to high-velocity execution,” she says.
For startups, this shift translates into closer alignment with national priorities and access to real-world problem statements. “Practically, it provides builders with direct proximity to large-scale, real-world problem statements driven by government and leading corporates,” she explains. For investors, the signal is equally strong, pointing to “deep access to capital across public and private markets… designed to de-risk AI ventures.”
From incubation to domination
This evolution is also shaping how accelerators themselves are operating. With the launch of DominAite, Blossom Accelerator is moving beyond traditional incubation models toward a more aggressive scale-first approach.
“In practice, this shift means focusing on businesses where AI is the core product and defensibility layer, rather than just a feature,” Shakoor says. “The global AI race requires startups to reach real revenue and follow-on fundraises quickly.”
Backed by the National Technology Development Program (NTDP), the initiative is structured not just to support startups, but to accelerate their path to commercial viability. The focus is on building sovereign AI capabilities while ensuring companies can scale from within the Kingdom.
One of the biggest challenges across global AI ecosystems is translating early-stage innovation into commercially viable businesses. Shakoor argues that Saudi Arabia is tackling this head-on through direct market access.
“We facilitate warm introductions into government entities and the PIF ecosystem… ensuring that innovation translates into tangible economic impact,” she says.
The emphasis on paid pilots and early commercial contracts is key. By prioritising revenue generation within the first year, the ecosystem is designed to move startups quickly from experimentation to execution—something many mature markets still struggle to achieve.
Infrastructure, data, and demand
Saudi Arabia’s positioning as an AI hub is underpinned by structural advantages that extend beyond capital. According to Shakoor, proximity to high-quality data and immediate demand from paying customers is what differentiates the Kingdom.
“We are not building in isolation; we are leveraging a clear national commitment to digital transformation and technological leadership,” she says.
This combination of data access, regulatory clarity, and institutional demand creates an environment where AI companies can scale faster and with greater certainty compared to more fragmented ecosystems.
While government-backed platforms play a central role in shaping the ecosystem, maintaining startup agility remains critical. Shakoor highlights a deliberate approach to balancing both.
“We maintain agility by deploying structured investment packages via single instruments that align incentives from the very start,” she says.
By focusing on a smaller cohort of high-potential companies, DominAite ensures deeper technical and infrastructure support, including access to cloud credits and GPU compute—resources that are often a bottleneck for AI startups globally.
Diversity as a technical requirement
Beyond capital and infrastructure, Shakoor underscores the importance of diversity in building globally competitive AI systems.
“In the context of AI, diversity is not just a social goal but a technical requirement,” she says. “Inclusive teams are essential to ensuring that AI models are trained on diverse datasets and are free from the narrow biases that can limit their international utility.”
As Saudi Arabia builds its AI ecosystem, this focus on inclusivity is positioned as a key enabler of global relevance and scalability.
Looking ahead, Shakoor believes success will ultimately be defined by the emergence of globally competitive companies originating from the Kingdom.
“Success is not measured by the number of graduates, but by how many companies emerge from here to define the new global center of gravity for innovation,” she says.





















