Верный вопрос для ИИ

Давно я пытался понять насколько хорошо разбирается ИИ в портфельном инвестировании, как крупные хедж фонды выбирают стратегии инвестирования, как известные аналитики рассчитывают внутреннюю стоимость компании...
Но не мог задать верный вопрос… ИИ меня не понимал и писал какие то бессмысленные примеры с марсианской фондовой биржи

И тут меня осенило! Я задаю неверный вопрос, я вспомнил как в детстве читал книгу Шекли «Верный вопрос»… Там на далекой планете было инопланентное устройство, которое знало все ответы Вселенной
Но никто от него ничего не мог узнать, потому что устройство не могло понять вопрос
Оказалось, чтобы задать правильный вопрос, надо было знать половину ответа
Так и с ИИ
Хорошо, что я нашел так называемые «правильные promts» и смог правильно задать вопрос....
Чтобы получить грамотный ответ...
ИИ знает очень много и у него есть чему поучится и систематизировать знания. Хотя бы для того, чтобы не изобретать велосипед

У меня есть еще несколько «правильных promts# 
будет интересно? выложу 


Пример

act as an event-driven strategist. Identify upcoming catalysts for Advanced Micro Devices/AMD jver next 6-12 month (earnings, regulatory decisions, product launches, macro data exposure, insider activity). Rank them by probability and expected price impact. Explain which catalyst institutions are most likely positioning for right now

Advanced Micro Devices Inc. (AMD)

$199.22

-$3.55 (1.75%)

•

Today

1D5D1M6MYTD1Y5YMAX

9:30 AM

19920020120220310:00 AM4:00 PM

Open

202.88

Volume

5.1M

Market Cap

258.78B

Day Low

198.11

Year Low

76.48

EPS (TTM)

2.03

Day High

203.93

Year High

267.08

P/E Ratio

78.28

Оставить отзыв

Below is a 6–12 month event-driven catalyst map for AMD (institutional-style). I’ve ranked catalysts by probability × expected price impact, then explained where institutional positioning is likely happening now.

AMD (6–12 Month Catalyst Map)

Tier 1 — High Probability + High Price Impact

These are the events most likely to move the stock materially.

1. MI450 / Helios AI Rack Deployments (H2 2026)

Probability: High
Expected Impact: Very High (multi-quarter rerating)

What happens

• Deployment of MI450 GPUs in Helios rack systems to hyperscalers.
• First deployments tied to OpenAI infrastructure buildout starting H2 2026.
• Potential 1 GW deployment initially within a broader multi-GW AI compute plan.

Why it matters

• This is the first rack-scale AI system from AMD competing directly with NVIDIA’s DGX ecosystem.
• Moves AMD from chip vendor → full AI infrastructure vendor.

Price impact logic

• If hyperscaler demand confirms:
• AI revenue trajectory becomes $20B+ potential business
• Market starts pricing AMD like NVDA #2 in AI compute

Institutional positioning

• Hedge funds accumulating on MI300 demand proof
• Long-only funds likely waiting for deployment confirmation

2. Earnings + AI Revenue Guidance (May / Aug / Nov cycles)

Probability: Very High
Expected Impact: High

Key date

• Q1 2026 earnings: May 5.

What institutions watch

1. Data center revenue growth
2. AI GPU revenue guidance
3. MI300 / MI350 ramp

Why critical

• AMD needs to prove >$10B quarterly revenue pace is sustainable.

Bull scenario

• AI GPU revenue accelerating
• Hyperscaler backlog commentary

Bear scenario

• Data center growth plateau

Institutional positioning

• Large funds trade AMD as a quarterly AI momentum name (similar to NVDA 2023-24).

3. Hyperscaler Partnerships / Capex Allocation

Probability: High
Impact: High

AMD already supplies chips to:

• Microsoft Azure
• Meta
• Oracle
• OpenAI
• other cloud providers

Hyperscalers increasingly multi-source away from NVIDIA.

Key signal events

• AWS adoption
• Microsoft expansion
• sovereign AI clusters

Why big
AI infrastructure spend is exploding:

• Data center chip market projected $1T by 2030.

Institutional positioning

• Long-term tech funds positioning around multi-sourcing trend

Tier 2 — Medium Probability + High Impact

4. Zen 6 CPU Launch (2026)

Probability: High
Impact: Medium-High

Zen 6 will likely use TSMC 2nm process.

Potential catalysts:

• Server CPU share gains vs Intel
• AI inference performance improvements

Why it matters
Server CPUs remain a high-margin profit engine.

CPU demand is also rising due to AI orchestration workloads.

5. MI350 AI GPU Ramp

Probability: High
Impact: Medium

MI350 (CDNA4 architecture) expected around 2025 ramp → 2026 scaling.

Key improvements:

• FP4 / FP6 AI data types
• HBM3E memory

Impact:

• fills gap between MI300 and MI450

Tier 3 — Lower Probability but Very Large Impact

6. Major Strategic AI Partnership

Probability: Medium
Impact: Very High

Potential candidates:

• AWS
• Google
• sovereign AI infrastructure

AMD has already announced large OpenAI deployments.

If AWS adopts AMD accelerators at scale, AMD stock likely re-rates.

7. AI Infrastructure Spending Cycle Shift

Probability: Medium
Impact: High

Bull case:

• AI capex keeps accelerating.

Bear case:

• hyperscalers slow GPU spending.

Macro risk cited by analysts includes credit cycle effects on AI infrastructure spending.

Tier 4 — Monitoring Catalysts

Regulatory / geopolitics

• U.S. export controls to China
• AI chip restrictions

These matter because China historically ~20–25% of GPU demand.

Insider / Positioning Signals to Watch

Event-driven funds track:

1. TSMC wafer allocation
2. HBM supply contracts
3. hyperscaler capex guidance
4. ROCm software adoption

Where Institutions Are Positioning Right Now

1. AI GPU market share vs NVIDIA

This is the dominant institutional thesis.

Funds are betting AMD becomes:

the #2 AI compute platform globally

2. Hyperscaler multi-sourcing

Cloud companies want to reduce dependency on NVIDIA.

This structural trend benefits AMD.

3. AI inference vs training

AMD has a price/performance advantage in inference workloads.

If inference becomes the dominant compute segment:

• AMD TAM expands dramatically.

Simplified Catalyst Timeline

Institutional Base Case (Consensus)

Most funds currently model:

• AI revenue CAGR: ~60–80%
• Data center TAM expanding rapidly
• AMD becoming the primary alternative to NVIDIA

💡 The single most important catalyst for AMD stock over the next 12 months:

Proof that hyperscalers deploy MI450 clusters at scale.

If confirmed, AMD could enter a second NVDA-style AI re-rating cycle.

If you want, I can also show:

• How hedge funds are trading AMD vs NVDA right now
• The 5 indicators that tell you AMD will break out before earnings
• A probabilistic price model for AMD (bull/base/bear scenarios to 2027).

A probabilistic price model for AMD (bull/base/bear scenarios to 2027).

Advanced Micro Devices Inc. (AMD)

$197.76

-$4.11 (2.03%)

•

Today

1D5D1M6MYTD1Y5YMAX

19820020210:00 AM4:00 PM

Open

202.88

Volume

9.4M

Market Cap

258.78B

Day Low

197.65

Year Low

76.48

EPS (TTM)

2.03

Day High

203.93

Year High

267.08

P/E Ratio

78.28

Оставить отзыв

Below is a probabilistic price model for AMD through 2027, built the way many institutional analysts model high-growth semiconductor companies:

• Forecast revenue growth
• Estimate EPS trajectory
• Apply forward P/E multiple ranges
• Weight scenarios by probability

Current reference price ≈ $200.

AMD 2027 Probabilistic Price Model

Probability-weighted expected value:

~$300–330 by 2027

Scenario Breakdown

Bull Case (25%)

Price target: $500–650

This scenario assumes AMD becomes a true #2 AI compute platform.

Key assumptions:

AI GPU revenue explodes

AI accelerators become a $30–40B segment for AMD.

Drivers:

• MI400 / MI450 adoption
• hyperscaler multi-vendor strategy
• ROCm ecosystem improvement

Example breakdown:

Total revenue ≈ $64B

EPS ≈ $9–10

If markets price AMD like a high-growth AI infrastructure company, multiples stay elevated.

Base Case (50%)

Price target: $240–315

This assumes steady but not dominant AI growth.

Key assumptions:

• AMD captures 10–15% AI accelerator share
• NVIDIA remains dominant
• AI capex continues expanding

Revenue model:

Total revenue ≈ $45B

EPS ≈ $6–7

Market multiple compresses slightly as growth normalizes.

Bear Case (25%)

Price target: $75–120

This scenario requires two negative developments:

1️⃣ AI spending slows
2️⃣ NVIDIA retains near-monopoly

Possible triggers:

• CUDA ecosystem dominance persists
• hyperscalers design custom chips
• GPU pricing collapses

Revenue trajectory:

Total revenue ≈ $29B

EPS ≈ $3–4

Multiple compresses toward traditional semiconductor levels.

Institutional Expectations (Consensus Range)

Most large funds currently model something close to the base-to-bull blend:

What Would Push AMD Toward Each Scenario

Bull triggers

• MI450 cluster adoption
• ROCm becomes credible CUDA alternative
• AWS adopts AMD GPUs

Base triggers

• AI spending strong but NVIDIA dominant
• AMD wins inference workloads

Bear triggers

• AI capex cycle pauses
• custom silicon from hyperscalers

The Single Variable That Matters Most

AI GPU market share

If AMD reaches:

How Hedge Funds Are Trading AMD Now

Institutional positioning currently reflects:

Long AMD vs short Intel

and

AMD as second derivative of NVIDIA’s AI boom.

Funds are effectively betting:

AI infrastructure demand is so large that multiple GPU vendors must win.

If you'd like, I can also show you:

1️⃣ The 5 signals that will tell you AMD hits the bull case early
2️⃣ Why AMD could experience a NVDA-style “phase 2” rally
3️⃣ The most important AI supply chain indicators (HBM, TSMC capacity, hyperscaler capex).