# Satın alınacak en iyi hisseler 2026: Yapay zeka

URL: https://aistartupinsights.com/tr/journal/satilacak-en-iyi-hisseler-2026
Type: blog
Locale: tr
Published: 2026-08-24
Updated: 2026-08-27

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> Şimdi satın alınacak en iyi hisseler 2026 yapay zeka: Yarıiletkenler. Nvidia (GPU), Broadcom (ASIC), TSMC (Foundry), Micron (Memory), AMD (Inference).

2026'da satın alınacak en iyi hisseler yapay zeka altyapısında eşit şekilde dağıtılmamıştır. 2026'da en iyi fırsatlar dört katmanda yoğunlaşır: GPU silikon, özelleştirilmiş ASIC, gelişmiş yarıiletken ambalaj ve yüksek bant genişliğine sahip bellek (HBM). Beş hiper ölçekli 2026'da AI capex için 320 milyar doları taahhüt etmiştir.

## How AI Capex Maps to Stock Selection

Structural chokepoints: GPU-compute (CUDA lock-in), Custom silicon (ASIC contracts), High-bandwidth memory (HBM supply constrained).

## Nvidia (NVDA)

80-85% AI training chip market share. CUDA ecosystem creates switching costs. 115 billion data-center revenue run-rate. Concentration risk: Microsoft, Meta, Google, Amazon represent 45% of revenue.

## Broadcom (AVGO)

220% YoY AI revenue growth Q2 2026. Google Trillium TPU plus undisclosed hyperscaler ASIC programs. 18-24 month contract visibility. Trades 27x forward earnings.

![Nvidia GPU chips on circuit board inside AI data center](https://fdzlnqpwsaniezitwiuw.supabase.co/storage/v1/object/public/cms-media/accorata/2026-08/9fb45e-inline1.webp)

## Taiwan Semiconductor (TSM)

Every leading AI chip runs through TSMC 3nm/2nm process. 28% of wafer revenue AI-related (Q1 2026). CoWoS packaging capacity booked through Q1 2027. Geopolitical concentration risk: Taiwan fabrication 95% of advanced node capacity.

## Micron (MU)

HBM is the throughput bottleneck. Memory capacity per chip increased 2.4x. 8.1 billion datacenter revenue Q2 FY2026, 75% YoY growth. HBM pricing 5-6x standard DRAM. Trades 14x forward earnings—cheapest on list.

![Hyperscale AI data center rows of servers with blue LED lighting](https://fdzlnqpwsaniezitwiuw.supabase.co/storage/v1/object/public/cms-media/accorata/2026-08/0fa7b1-inline2.webp)

## AMD (AMD)

MI300X accelerator deployed at Microsoft Azure, Meta, Oracle for inference workloads. 7-8 billion datacenter GPU revenue run-rate. Growth path from near-zero in 2023. Inference volume growing faster than training. Current valuation prices moderate share gains.

![Semiconductor wafer manufacturing clean room - AI chip supply chain](https://fdzlnqpwsaniezitwiuw.supabase.co/storage/v1/object/public/cms-media/accorata/2026-08/15b751-inline3.webp)

## Reading Supply Chain Signals

Operational advantage: access to leading indicators that precede quarterly earnings 1-3 months.

- 
**TSMC CoWoS capacity**: Forward indicator for Nvidia/Broadcom GPU volume 2-3 quarters ahead

- 
**Hyperscaler capex disclosures**: Signal-to-noise ratio high on earnings calls

- 
**Startup compute announcements**: Proxy for downstream GPU demand

- 
**HBM allocation timing**: If allocation to AI customers exceeds 80%, standard DRAM pricing softens

## What This Framework Excludes

Microsoft, Amazon, Alphabet: AI revenue diluted. Microsoft 18% of total revenue, smaller for Amazon/Alphabet. Signal buried in diversified business.

For operators building positions in public AI infrastructure, the question is not which large-cap tech company is safest. It is which company's revenue trajectory most directly reflects AI infrastructure deployment patterns already visible in startup databases, hyperscaler procurement filings, and semiconductor supply chain disclosures.

Nvidia at 85% AI revenue concentration is purer expression of thesis than Microsoft at 18%. Same logic explains why TSMC is on this list and Intel is not: Intel's foundry business real but currently less than 3% of advanced AI chip manufacturing volume. Delta counts more than strategic ambition.

Five names above – Nvidia, Broadcom, TSMC, Micron, AMD – sit at chokepoints. Signals measurable. Monitor leading indicators above, not price action.

## FAQ

### Why focus on semiconductors?

AI capex flows directly to silicon production.

### Is Nvidia overvalued at 85% market share?

CUDA lock-in creates switching costs higher than hardware price differences.

### Why Broadcom instead of Nvidia?

220% YoY AI revenue growth with 18-24 month contract visibility vs sentiment plays.

### Is Micron's HBM constraint real for retail?

Yes. Memory capacity grew 2.4x across two generations. HBM pricing is 5-6x DRAM.

### Should I buy AMD instead of Nvidia?

AMD doesn't need to displace Nvidia – capture inference market fraction where CUDA lock-in weaker.

### What signal should I watch before earnings?

TSMC CoWoS capacity (forward indicator 2-3Q), hyperscaler capex disclosure, startup compute announcements.

### Why exclude Microsoft and Amazon?

AI revenue diluted. Nvidia at 85% concentration expresses thesis more purely. Delta counts more than absolute.