r/AIFU_stock

→ Jan 2025: $1B ARR

→ Dec 2025: $9B ARR

→ Apr 2026: $30B ARR

That’s a 30x in 15 months.

One analyst is now projecting $100B by end of 2026, $340B in 2027, and $2T+ by 2030.

Compare that to Google’s current revenue run-rate. The forecast says Anthropic could surpass it by mid-2028.

Is it too aggressive? Probably. But the direction of travel is real.

The bigger signal here isn’t Anthropic specifically — it’s what this means for the compute stack.

If AI model companies are monetizing this fast, demand for chips, memory, networking, power, and cooling is going to be far larger than the market priced in.

The infrastructure thesis just got stronger.

Before a potential Anthropic IPO, here’s where you can get exposure today:

→ $AMZN — lead cloud partner + investor

→ $GOOG — major backer + TPU development partner

→ $NVDA / $AMD / $AVGO — AI chip layer

→ $TSM — foundry capacity

→ $MU — HBM + DRAM demand surge

→ $MRVL / $FN / $LITE / $COHR — optical networking

→ $VRT / $MPWR — power & cooling

Pre-IPO fund exposure:

→ $VCX — Anthropic ~20.7% of portfolio

→ $DXYZ — meaningful Anthropic position

→ $AGIX — one of the few ETFs with direct private AI exposure

→ $BSTZ — private market tech exposure including Anthropic

The AI model race winner is still unknown.

The infrastructure winners are less uncertain.

1. $AXTI +612%

2. $SNDK +558%

3. $AEHR +382%

4. $AAOI +327%

5. $DOCN +241%

6. $INTC +238%

7. $BE +200%

8. $VIAV +187%

9. $WDC +179%

10. $MU +162%

11. $NVTS +155%

12. $LITE +145%

13. $OSS +118%

14. $AMD +113%

15. $NBIS +111%

Layer 1: Materials & wafers

• $GLW

• $AXTI

• $IQE

• $AIXA

• $AMS

Layer 2: Core photonic devices

• $IPGP

• $COHR

• $LITE

• $LASR

• $SIVE

• Layer 3: Components & modules

• $AAOI

• $MTSI

• $FN

• $VIAV

• $LPTH

Layer 4: Systems & equipment

• $ASML

• $BESI

• $ASM

• $LPKF

• $MKS

Layer 5: Test, metrology & yield

• $CAMT

• $FORM

• $AEHR

• $ONTO

• $VIAV

Nvidia: 4m 23s

Microsoft: 5m 10s

Apple: 5m 36s

Amazon: 6m 46s

Meta: 8m 42s

PEG < 1 usually means mispriced growth

PEG > 2 starts to push into the danger zone

$DRAM — +80.3% YTD

→ The pure-play memory ETF

→ SK Hynix 26% | $MU 25% | Samsung 21% | Others 28%

→ Maximum memory concentration in one ticker

→ Best if you want direct exposure to the DRAM/HBM supercycle

$EWY — +87.1% YTD

→ Plays the Korea memory duopoly — SK Hynix + Samsung in one fund

→ SK Hynix: 19%–24% | Samsung: 22% | Others: 54%–59%

→ Added macro beta on Korean won + broader Korean economy

→ Solid middle ground between pure memory and diversification

$KORU — +362.1% YTD

→ 3x leveraged version of $EWY essentially

→ Not a hold — a trade

→ Massive upside in a supercycle, brutal drawdowns on reversals

→ Only for those who understand leveraged ETF decay

$SMH — +52.6% YTD

→ Broader semi exposure with memory embedded→ $NVDA 16% | $TSMC 10% | $AVGO 7%| $INTC 5% | $AMD 5% | $MU included

→ Lowest memory concentration but highest diversification

→ Best entry point for those new to the theme

Risk Ladder (lowest → highest):$SMH → $DRAM → $EWY → $KORU

SPACE

$RKLB

$ASTS

MEMORY

$DRAM

$MU

$SNDK

COMPUTE

$AMD

$IREN

$NBIS

$INTC

+179%

Designs and manufactures CPUs for PCs and servers while rebuilding its foundry business to compete with TSMC.

$MU

+103%

Manufactures DRAM and NAND flash memory, the core storage components inside every server, PC, and smartphone, with demand accelerating sharply from AI workloads.

$ARM

+85%

Licenses the processor architecture that powers virtually every smartphone on Earth and a fast-growing share of data center and edge computing chips.

$MRVL

+84%

Develops custom AI networking and storage chips for cloud hyperscalers, becoming one of the most important picks-and-shovels names in the AI data center.

$AMD

+82%

Designs high-performance CPUs and GPUs for data centers, gaming, and PCs, and has taken meaningful share from Intel in servers over the last five years.

$AMAT

+52%

Supplies the deposition, etching, and inspection equipment that chip factories depend on to build every layer of a modern semiconductor.

$ASML

+31%

Makes the extreme ultraviolet lithography machines that are the only tools capable of printing the world's most advanced chips, giving it an unmatched monopoly position.

$TSM

+29%

The world's largest contract chip manufacturer, fabricating advanced processors for virtually every major chip designer including Apple, Nvidia, and AMD.

$AVGO

+18%

Builds custom AI accelerators, networking chips, and broadband semiconductors, supplying hyperscalers like Google and Meta with critical data center silicon.

$NVDA

+12%

Designs the world's leading GPUs for AI training, data centers, and gaming, making it the backbone of the modern AI infrastructure build-out.

The top 3 memory gaints are all in there:

• $SSNLF (Samsung) - 25%

• $HXSCL (SK Hynix) - 25%

• $MU (Micron) - 24%

$RKLB

— Only scaled launch alternative. SpaceX IPO validates the market, RKLB gets the multiple expansion.

$ASTS

— Highest-beta space name. Sector ETF inflows hit this first.

$PL

— Space data pure-play. IPO headlines bring retail back to Earth imaging.

$FLY

— Speculative flows lift all space-adjacent mobility names in a sector re-rating.

$LUNR

— Only pure-play Moon stock. Artemis ecosystem gets a spotlight when SpaceX lists.

• Q1 2025: -$1,923M

• Q2 2025: -$23M

• Q3 2025: +$122M

• Q4 2025: +$803M

• Q1 2026: +3,615M

From -$1.9B to +$3.6B in just 5 quarters.

In the stock market, everyone employs a unique trading methodology; my personal approach involves investing exclusively in stocks that are currently in an upward trend.

My method is by no means flawless; if your approach differs, I ask that you refrain from criticism. I'm just looking for like-minded people who resonate with me.

I will use a chart as an example to explain the content: When stock prices form a consolidation pattern, it usually indicates a trend reversal. When the price breaks out of this range, accompanied by a significant surge in trading volume, it demonstrates strong upward momentum.

The formation of successively higher highs and higher lows serves to confirm the existence of an uptrend. If a pullback occurs during an uptrend, and the price returns to and holds above the previous support line, it presents an opportunity to re-enter the market.

If the price resumes its upward trajectory following a pullback and breaks above its previous high, it typically indicates a continuation of the trend; in such cases, I choose to maintain my position. I will close the trade once the stock price reaches the target price or falls below the previous low.

Don't let anyone tell you this path won't work. Stick to the methods that work for you, be patient, use them repeatedly, and strive for perfection. Eventually, you'll see the light at the end of the tunnel.

• $NVDA owns main AI compute layer

• $AVGO monetizes custom silicon, networking & connectivity

• $AMD remains CPU bottleneck play as inference workloads scale

• $MU benefits from memory bottleneck across HBM & data center storage