Paper Unicorns Are Cheap: Building $1B AI Revenue Needs Multimarket Investors

Two hundred fifty companies joined the Crunchbase Unicorn Board in the first half of 2026. Ilman Shazhaev, founder and CEO of Abu Dhabi-based AI and gaming infrastructure company Dizzaract, asks the harder question: how many will keep customers paying once the initial excitement fades?

His benchmark is a unicorn with $1 billion in revenue sustained by renewing customers. Not a billion-dollar valuation on paper. "Paper unicorns" get minted and erased by market sentiment every quarter, he writes in a Crunchbase guest column.

Shazhaev brings an unusual background to the argument. He spent five years at Harbin Institute of Technology and Shanghai Jiao Tong University, where a "fail fast, improve faster" ethos shaped his approach. He then built an AI company in Abu Dhabi. That path, he says, exposed him to how the same growth story raises different questions among investors.

What separates real revenue from a discount-fueled run rate?

Fast revenue deserves attention. Founders who convert pilots into paying deployments solve a real problem, and strong sales ease the next round. But a run rate built on discounts, experimental budgets or generous compute subsidies offers little assurance customers will stay.

The price pressure is quantified. According to Epoch AI research cited by Shazhaev, the cost of hitting a fixed level of AI performance has dropped thirteenfold every year since 2023. Startups that merely resell model access now face brutal price competition.

The example is OpenRouter. The company raised a $113 million Series B, and its platform already lets developers swap between models through one shared interface. If the underlying model is a commodity, reselling it offers no durable moat.

Businesses built on proprietary workflows face a different test. Software embedded in a company's approvals, records and daily decisions is harder to replace than the model doing the underlying work. Shazhaev would check two things: whether customers renew at full price and expand contracts, and whether margins stay healthy after inference costs.

Why should the cap table cross borders?

Once founders know who keeps buying, Shazhaev advises raising across regions. A local backer can double as market entry. Borders barely slow an AI product, but enterprise sales still depend on local budgets, procurement procedures and relationships.

He points to 1001 AI, a London- and Gulf-based company, as evidence. The firm closed a $30 million Series A led by U.S. venture firm Lux Capital, with Sanabil Investments, backed by the Saudi Public Investment Fund, participating. The deal cannot prove future retention by itself. It does show how capital, talent and customers can sit on different maps: engineers in London, customers in the Gulf.

His advice is blunt. "Ask every investor what they bring besides money." One warm introduction to the right buyer can beat a higher valuation if it turns into a contract the founder can deliver and renew.

What obligations come with sovereign money?

The choice between venture funding and sovereign-backed capital is usually framed as fast versus patient money. Shazhaev finds the practical distinction in the obligations attached to each check.

U.S. and European venture investors, he says, repeatedly asked how quickly his company could turn product adoption into repeatable sales before competitors caught up. Venture firms need returns within their fund's life. That pressure can sharpen execution. It can also backfire: founders who chase fast expansion without counting delivery costs may fill their pipeline with discounted experiments instead of enduring enterprise relationships.

Sovereign-backed investors ask different questions. They want to know where user data gets processed and which technical capabilities stay in the country. Will local customers still rely on the service years from now? Some funds carry an explicit domestic development mandate, where those concerns count as investment criteria alongside financial returns.

That mandate cuts both ways. The upside is a partner invested in local infrastructure and enterprise adoption. The price is longer diligence, localization spending and contract terms that can restrict expansion elsewhere.

Shazhaev adds a caveat to every promise here. Neither mandate is universal. Many sovereign-backed funds pursue conventional financial returns. Traditional VCs can support long enterprise sales cycles. Government-affiliated capital does not guarantee procurement wins either.

His instruction to founders: read the fine print on governance rights, exclusivity requests and promised commercial introductions. Then judge whether the investor's regional reach justifies the constraints.

Which numbers actually matter?

The best capital strategy follows the customer's path, from a working product to a renewal, Shazhaev writes. Venture money speeds development once the business model works. Regional strategic investors earn their place when a market's infrastructure and procurement rules demand local expertise.

"I would rather show an investor a small cohort of customers renewing without discounts than a glossy revenue forecast that depends on the next funding round," he writes. The metrics to watch are net revenue retention, production deployments and margins after delivery costs.

His closing forecast: the founding teams that build $1 billion in lasting annual revenue will likely balance venture momentum with regional obligations, and their global cap tables will mirror the enterprise markets they serve.

Shazhaev's own credentials frame the argument. Dizzaract, headquartered in Abu Dhabi, is the largest game development studio in the Middle East. He is a United Nations expert under the UNODC program, advising on AI applications for social problems in developing economies. He has authored 46 scientific articles and holds 10 registered invention patents, including research on AI that reads a player's psychological state from ordinary gaming hardware.