According to @GrandViewInc, the global AI market is projected to reach $1.8 trillion by 2030, up from $300 billion in 2024. This reflects not only increased investment, but the expanding role of AI across nearly every industry 🧵

The report highlights that AI growth is a global opportunity. North America accounts for the largest share today, but Asia Pacific shows the fastest growth trajectory. Regions across Europe, Latin America, and the Middle East are also accelerating AI adoption.

Behind this growth are diverse applications. The report points to automation, generative AI, autonomous systems, and AI-driven decision-making as key contributors to market expansion. Each of these introduces new technical and operational challenges.

As AI systems take on more complex tasks, especially those requiring autonomous action or real-time decision-making, questions of reliability and adaptability become central. Building larger models is only part of the solution.

A growing share of the AI market depends on infrastructure that supports learning, coordination, & reasoning across different tasks & environments. This is especially relevant for AI agents & autonomous systems operating in financial services, healthcare, & infrastructure.

Fragmentation remains a risk as more organizations deploy domain-specific models and isolated AI solutions. The report underscores the need for composable, self-improving systems that can adapt to changing conditions without requiring constant human intervention.

This is where new approaches to AI infrastructure are emerging. Decentralized networks, model marketplaces, & collaborative inference systems reflect an evolving understanding that AI must be capable of learning, not just processing. Projects like Allora are part of this shift.

The projected growth of AI reflects the expanding set of problems AI is expected to solve. As that expectation grows, so does the need for trustless, adaptive systems that can reason and improve without centralized control.