What AI’s Biggest Stock Winners Reveal About the Next Phase of the Market

The performance of leading companies in the artificial intelligence (AI) supply chain between 2021 and 2025 provides a clear, data-backed signal of how capital is being allocated and where the next phase of the market is heading.

Data shows that returns were highly concentrated with a small group of companies delivering outsized gains:

• Palantir Technologies: +876% (from $18.21 to $177.75)
• Vertiv Holdings: +549% (from $24.97 to $162.01)
• NVIDIA: +534% (from $29.41 to $186.50)
• Broadcom: +420% (from $66.54 to $346.10)
• SK Hynix: +397% (from $86.85 to $431.60)
• Arista Networks: +265%
• Micron Technology: +247%
• CrowdStrike: +129%
• Dell Technologies: +124%
• Alphabet: +116%

At the same time, some companies underperformed despite AI exposure:

• Intel: –28%
• Equinix: –9%
• Digital Realty: –13%

1. Returns Are Concentrated, Not Broad-Based

The top three performers were Palantir, Vertiv, and Nvidia, and delivered between 500% to 876% gains, while large-cap names like Alphabet returned just 116% over the same period.

This shows:

• AI gains are not evenly distributed
• Capital is flowing to specific high-leverage positions, not the entire sector

2. Infrastructure Is Outperforming Core AI Chips

A key data point:

• Vertiv (+549%) outperformed Nvidia (+534%)

Vertiv does not build AI models or chips. It provides:

• Cooling systems
• Power infrastructure for data centres

Interpretation:

• The bottleneck has shifted from compute to infrastructure
• Companies solving physical constraints are gaining pricing power

3. Memory Has Become a Critical Constraint

• SK Hynix: +397%
• Micron: +247%

These gains are tied to demand for:

• High-bandwidth memory (HBM)
• AI model training capacity

 Insight:

• Memory is now a core limiting factor in AI scaling
• Not all semiconductor exposure is equal

4. The Market Is Penalising Indirect Exposure

Despite being in the same ecosystem:

• Intel: –28%
• Equinix: –9%
• Digital Realty: –13%

This shows:

• The market is filtering aggressively
• Only companies with direct AI revenue linkage are rewarded

New AI Models Are Scaling at Extreme Speed

CoreWeave provides a strong example:

• Revenue: $15 million (2022) → over $5 billion (2025)
• Share price: +93% post-IPO (March–December 2025)

This reflects:

• Emergence of GPU-as-a-service
• Shift toward outsourced compute infrastructure

What This Means for the Next Phase (2026 and Beyond)

The data points to a clear transition:

Phase 1 (2021–2024):

• Chipmakers dominate (Nvidia, Broadcom)

Phase 2 (2024–2026):

• Infrastructure and bottlenecks take over
  (Vertiv, memory suppliers, GPU cloud)

 Investors King Note 

• AI is no longer a broad theme — it is a precision trade
• The highest returns are coming from:
  • Bottlenecks
  • Capacity constraints
  • Critical infrastructure

The next phase of the market will be defined by:

• Who controls power, cooling, memory, and compute access
• Not just who builds AI models