Why AI Unicorns Need More Than a $1 Billion Valuation

By Nathan Brooks

Paper unicorns can command $1 billion valuations; Ilman Shazhaev wants $1 billion in sustained revenue from customers who keep paying. Crunchbase data cited by Shazhaev shows 250 companies joined The Crunchbase Unicorn Board in the first half of 2026.

In Shazhaev’s view, a valuation captures current investor appetite. Recurring revenue reveals whether a product survives the fade in launch excitement.

Shazhaev says his framework grew out of work inside academia and business. He spent five years at Harbin Institute of Technology and Shanghai Jiao Tong University, where “fail fast, improve faster” shaped his approach to building technology.

He later built an AI company in Abu Dhabi, where he saw how one growth story could prompt different questions among investors. His guiding question is blunt: “What will customers keep paying for?”

The revenue test beyond valuation

Shazhaev draws a sharp line between pilots and durable deployments. Founders who turn pilots into paying deployments solve a real problem, he says, and strong sales can make the next round easier. Founders can also present annualized run rates built on discounts, experimental budgets or generous compute subsidies; such figures offer little assurance that customers will stay.

Since 2023, Shazhaev says, the price of hitting a fixed level of AI performance has dropped thirteenfold every year. Startups that merely resell model access now face brutal price competition, he argues. He points to OpenRouter and its $113 million Series B: developers can already swap between models through one shared interface.

His higher bar targets companies built around proprietary workflows. When software becomes part of a company’s approvals, records and daily decisions, replacing it becomes harder than replacing the underlying model, according to Shazhaev. He would test whether customers renew at full price, expand contracts and keep margins healthy after inference costs.

Why borders belong on the cap table

Once retention is clear, Shazhaev argues, founders should raise across regions because a local backer can double as market entry. In his view, borders barely slow an AI product down; enterprise sales still depend on local budgets, procurement procedures and relationships. A foreign investor adds value when those connections turn a product demonstration into a paid contract.

Shazhaev uses the $30 million Series A for London- and Gulf-based 1001 AI as a useful cross-border example. U.S. venture firm Lux Capital led the financing alongside Saudi PIF-backed Sanabil Investments. He cautions that the deal cannot establish future retention, but it places capital, talent and customers on different maps: engineers in London and customers in the Gulf.

Shazhaev tells founders to ask every investor what it brings besides money. One warm introduction to the right buyer can beat a higher valuation, he says, if it turns into a contract the company can deliver and renew.

Different money, different obligations

Shazhaev rejects the simple choice between fast venture capital and patient sovereign capital. His practical distinction concerns the obligations attached to each check.

In conversations with U.S. and European venture investors, Shazhaev says, they often ask how quickly product adoption can become repeatable sales before competitors catch up. Venture firms need returns within a fund’s life, placing commercial momentum and a sizable exit at the center. The pressure can sharpen execution, he says, but can also encourage discounted experiments rather than enduring enterprise relationships.

Sovereign-backed investors tend to ask where user data gets processed, which technical capabilities stay in the country and whether local customers can rely on the service years from now, according to Shazhaev. Some funds carry an explicit domestic development mandate, making those concerns investment criteria alongside financial returns.

That mandate can bring a partner focused on local infrastructure and enterprise adoption, Shazhaev says, but it can require longer diligence, localization spending and contract terms that impede expansion elsewhere. He cautions that neither model is universal: many sovereign-backed funds pursue conventional returns, while traditional VCs can support long enterprise sales cycles. Government-affiliated capital does not guarantee procurement wins.

Shazhaev tells founders to judge whether an investor’s regional reach justifies its constraints. They should read the fine print on governance rights, exclusivity requests and promised commercial introductions.

What should investors demand from AI founders?

Shazhaev’s preferred capital strategy follows the customer’s path from a working product to renewal. Venture money should speed development and sales once the business model works, he says. Regional strategic investors earn their place when infrastructure and procurement rules require local expertise.

He would rather show investors a small cohort of customers renewing without discounts than a glossy revenue forecast that depends on the next funding round. The operating numbers he says to watch are:

• Net revenue retention
• Production deployments
• Margins after delivery costs

For investors and founders, Shazhaev’s practical answer is to test headline revenue against renewals, contract expansion and unit economics. Premium valuations require evidence that customers return at full price without discounts and that margins hold after delivery and inference costs.

Crunchbase identifies Shazhaev as founder and CEO of Dizzaract, an Abu Dhabi AI and gaming infrastructure company it describes as the largest game development studio in the Middle East. His work focuses on distributed AI infrastructure, human behavioral data and interactive environments where AI systems are trained and tested.

He is also a United Nations expert under the UNODC program, advising on AI for social problems in developing economies, according to Crunchbase. The profile says he has authored 46 scientific articles, including published research on AI that reads a player’s psychological state from ordinary gaming hardware, and holds 10 registered invention patents.

Shazhaev expects market sentiment to keep minting and erasing paper unicorns every quarter. The teams that build $1 billion in lasting annual revenue will likely balance venture momentum with regional obligations, he says. Their global cap tables will mirror the enterprise markets they serve.