Blackstone and the AI sustainability equation, raising liquidity does not create lasting companies

AI jumps force startups into a growth pace that was unheard of in previous technology generations, yet this rapid expansion collides with a harsh operational reality: scaling in this sector consumes massive amounts of liquidity, forcing founders to make decisive funding decisions before they can confirm whether the initial momentum can translate into a sustainable business model. This dilemma places major investment firms before a pivotal question that separates companies built to endure from those that settle for fleeting rapid growth, a point raised by Jas Khair, global head of the Blackstone In 1 platform and growth investments at Blackstone, via the Builders track at the Decrypt 2026 summit that brings together over ten thousand tech leaders, founders, and investors in San Francisco.

Raising more money does not necessarily mean building a more resilient and durable organization.The capital equation in the AI sector has outstripped the traditional costs of software development and customer acquisition; computing requirements, data-center construction, and core infrastructure provisioning now impose massive cash commitments that grow with each expansion phase. Recent Blackstone deals embody this unprecedented capital inflow, as the firm agreed with co-investors to inject up to $600 million in primary equity into the Indian infrastructure company Neysa, which simultaneously planned to raise an additional $600 million through debt financing.

The flow of this institutional liquidity does not stop at building servers and data centers; it also reaches the application layer and the practical implementation of AI within companies. In July, Anthropic launched Ode with Anthropic as a specialist entity for deploying AI solutions, backed by a $1.5 billion joint venture involving Blackstone, Helman & Friedman, Goldman Sachs and other parties. These financial bets place Blackstone, via its In 1 platform founded by Khair and focused on private-equity and hybrid growth in AI since joining the group in 2004, at the centre of the debate over which types of businesses can survive after the initial funding waves subside.

Founders today find themselves in a complex race to raise capital while simultaneously building products, attracting talent, and battling fierce competition for customers.The difficulty lies in verifying whether the competitive advantages driving today’s growth can withstand time and market fluctuations, rather than relying on successive funding rounds to compensate for shortcomings in the operating model’s efficiency.

For technology leaders and company founders in the Gulf and Egypt, this investment sorting carries a decisive practical implication that goes beyond headline valuations. The region experiences broad investment flows into infrastructure, data centers, and advanced computing, especially in Saudi Arabia and the United Arab Emirates, providing entrepreneurs with a favorable environment to access technical resources. Yet the real challenge facing a CEO or regional investor today is to avoid the easy-liquidity trap and focus on the economics of real unit economics; massive funding will not protect companies that merely build superficial interfaces on imported infrastructure without creating sustainable internal added value. Local development teams must steer their talent toward engineering systems that can be institutionally integrated over the long term and manage inference and compute costs rigorously, because the market’s next phase will reward architectures that demonstrate self-sufficient operational capability, not those that survive on capital burn.