Everything is moving fast: an investor's view of Meta's AI strategy

Everything is moving fast: an investor's perspective on Meta's AI strategy

Alger fund manager Ankur Crawford discussed the accelerated development of artificial intelligence and its impact on Meta, cloud computing, and the entire technology sector in an interview with Bloomberg on July 9, 2026.

The pace of innovation seems inhuman

According to Crawford, the speed of new AI models appearing and their implementation in the industry significantly exceeds historical rates of technological shifts. Each announcement from a major AI lab — whether OpenAI, Google, Meta, or others — instantly requires scaling cloud infrastructure. Investors and corporations struggle to keep pace with reassessing risks and opportunities.

• Interview: Bloomberg, July 9, 2026, program "The Close"
• Participants: Ankur Crawford (Alger), Romaine Bostick and Katie Greifeld
• Focus: Meta's AI strategy, its impact on cloud and the tech sector

Why Meta is a key player

Meta is in a unique position: it is simultaneously a developer of its own open-source AI models (Llama series) and a massive consumer of cloud infrastructure for their training and deployment. Its strategic choices — whether to invest in its own data centers or rely on cloud providers (AWS, Google Cloud, Microsoft Azure) — affect not only its competitiveness but the entire cloud segment.

When Meta announces a new Llama version or plans to expand AI capacity, cloud providers listen: such companies determine the trajectory of demand and investments for years ahead. Investors tracking cloud stock portfolios must understand what strategy Meta chooses, because it signals how the entire segment will develop.

"Everything is moving so fast" — a brief summary of

Crawford's observation about the pace of change in the AI industry.

Infrastructure lags behind innovation

The problem is that cloud infrastructure — the most expensive and inflexible part of the chain. While providers build new capacities and train operational teams, even more demanding AI models emerge. Companies and investors face a choice: bet on cloud providers, on independent model developers (like OpenAI), or on companies like Meta that attempt to control the entire chain.

What investors focus on

Crawford emphasized that investors need to understand not just impressive numbers about model parameters or user count, but the architecture of control. Who manages GPUs? Who can afford to maintain data centers? Who can influence cloud pricing?

This means that cloud company stocks become not just instruments for long-term growth, but a way to bet on a particular future configuration of the AI industry. Meta, AWS, Google, Microsoft — each follows its own strategy, and investors should track not financial reports so much as architectural decisions.

What this means

The pace of AI development is beginning to outstrip the market's ability to adapt. For investors, this means that classical approaches to company valuation stop working. You need to understand the architecture: who controls capacity and who controls innovation.

*Meta is recognized as an extremist organization and is prohibited in the Russian Federation.