Samer Choucair: Cyber Risks Have Become Part of the Valuation Equation for AI Companies
Investment strategist Samer Choucair believes that rapid advances in the cyber capabilities of artificial intelligence models are reshaping the criteria used to evaluate technology companies and allocate capital across the AI sector.
He emphasized that institutional investors can no longer assess the strength of AI models independently of a company’s ability to manage operational, regulatory, and security risks.
Samer Choucair said:
> “Institutional investors today no longer evaluate an AI model based solely on its technical capabilities. They also assess the company’s ability to build multiple layers of defense that can turn offensive capabilities into a sustainable competitive advantage without exposing capital to unforeseen regulatory risks.”
Choucair noted that this equation is becoming increasingly important as private valuations of advanced AI companies rise and some approach potential public listings. At that stage, governance, safety, and compliance frameworks will face greater scrutiny from public markets and institutional investors.
He added that capital allocation in the AI sector requires a careful balance between growth velocity and governance strength, particularly as the cost of building monitoring systems, independent testing, and control mechanisms may rise alongside the expanding capabilities of AI models.
AI Capabilities Are Entering a New Phase
Choucair said the advanced AI market is undergoing a qualitative shift that goes beyond competition over language or coding performance, as models increasingly move toward executing more complex tasks that can extend into cyber environments.
He explained that instances in which models gain access to real systems during testing do not necessarily indicate deliberate intent to escape a controlled testing environment. At the same time, however, they reveal a widening gap between what models are capable of doing and what organizations can fully control.
Choucair considers this gap a financial and investment variable because it can affect:
Cost of capital
Company valuations
Insurance requirements
Compliance expenses
The ability to move from testing to large-scale commercial deployment
He believes markets may gradually begin distinguishing between companies that possess advanced technical capabilities and those that can demonstrate their ability to manage those capabilities within a scalable governance framework.
Samer Choucair said:
> “Economic trends in 2026 show a shift in fund preferences toward companies that invest early in safety and compliance frameworks, because these investments reduce the likelihood of negative repricing when similar incidents emerge.”
Cybersecurity Becomes an Investment Opportunity
Choucair emphasized that the growing cyber capabilities of advanced AI models are not only a source of risk—they are also creating a new investment market in cybersecurity.
Demand is increasing for technologies focused on:
Early threat detection
Vulnerability management
Automated monitoring
Protection of autonomous AI agents
Non-human identity management
Incident-response systems capable of handling the speed and complexity of AI-enabled attacks
The implications, he noted, extend beyond cybersecurity itself to the broader digital infrastructure supporting AI, including data centers, cloud computing, data security, identity management, monitoring systems, AI governance, and infrastructure required to operate AI agents safely.
As advanced models become more widely deployed, infrastructure security is likely to become a core operating cost rather than an additional layer that companies can postpone.
Security as a Competitive Advantage
From a capital-allocation perspective, Choucair believes companies capable of building secure and scalable systems from the early stages may gain a competitive advantage over those forced to rebuild their security infrastructure after achieving significant scale.
This distinction could become particularly important during future funding rounds, acquisitions, and public-market listings.
Companies that invest heavily in governance early may face higher short-term costs, he explained, but can potentially reduce the risk of significant future repricing following security or compliance failures.
Saudi Arabia and the Gulf
Choucair believes these developments are directly relevant to Saudi Arabia and the broader Gulf region, particularly as investment in AI and digital infrastructure accelerates as part of economic-diversification strategies.
He argued that Saudi Arabia has an opportunity not only to attract foreign capital and technology, but also to build a domestic ecosystem spanning infrastructure, AI models, governance, and cybersecurity.
Samer Choucair said:
“Investment in Saudi Arabia in this field is no longer limited to attracting foreign capital. It increasingly involves building domestic capabilities that reduce reliance on external models that cannot be fully controlled, supporting long-term capital allocation while advancing governance and sustainability objectives.”
He added that the expansion of Saudi Arabia’s digital economy, together with major projects in energy, tourism, logistics, and financial services, will increase demand for security solutions capable of protecting a more complex digital ecosystem.
This environment could create opportunities for venture capital, private equity, and other investors across areas such as:
Cybersecurity
Data protection
AI governance
Data centers
Cloud infrastructure
Digital identity security
Governance Becomes Part of Financial Valuation
Choucair emphasized that governance will no longer remain a regulatory consideration separate from the financial valuation of AI companies.
The more capable an AI model becomes of performing autonomous tasks and accessing external tools and systems, the more important it becomes to understand:
The boundaries of its permissions
Monitoring mechanisms
Safety-testing procedures
The company’s ability to detect unexpected behavior
Its ability to respond effectively when problems occur
These factors, he believes, could increasingly become part of investors’ criteria when assessing companies ahead of financing rounds, acquisitions, or IPOs.
Companies that invest early in governance may incur higher costs in the short term, but could potentially reduce the risk of future valuation compression.
From an AI Performance Race to a Trust Race
Choucair believes the AI race is entering a new phase in which technological leadership will no longer be measured solely by a model’s ability to code, analyze, or reason.
Instead, the competitive advantage will increasingly depend on a company’s ability to turn those capabilities into a safe, scalable product that earns the confidence of users, investors, and regulators.
Samer Choucair concluded:
“AI is no longer simply a race for performance; it has become a race for control and trust. Investors who incorporate cyber-risk analysis into their capital-allocation decisions will be better positioned to benefit from structural growth in the digital economy while maintaining sufficient flexibility to navigate any potential repricing.”