After too many hours of research/DD to count, these are my Top 5 AI Stocks in the Top 5 AI Sectors to Invest in:
1. Neoclouds: The GPU & Compute landlords. Whoever owns the compute owns what every AI company on the earth needs to grow & succeed.
$NBIS - Nebius. Spun out of Yandex, rebuilt as a pure-play AI cloud. Microsoft and Meta committed billions in contracted backlog. The fastest growing neocloud on the board. My favorite pick as a long-term investment.
$CRWV - CoreWeave. The American-founded neocloud. SemiAnalysis rated this Neocloud in a class of it's own, which can not be understated. Deals with Anthropic, OpenAI, Meta, Perplexity, Google, Microsoft... the list goes on forever.
$HUT - Hut 8. Started as a bitcoin miner, pivoted hard into AI hosting and power infrastructure. Owns the power, not just the GPUs. They're landing deals left and right, definitely an underappreciated sleeper pick.
$APLD - Applied Digital. Same playbook. Former crypto miner now building purpose-designed AI data center campuses with long-term hyperscaler leases.
$CIFR - data center host for Anthropic's directly, purchased Google TPU v7 Ironwoods (400K units, ~$10B), backed by a 10-year, $3B+ Fluidstack hosting deal where Google guarantees $1.4B of lease obligations for a 5.4% equity stake. One of the only neocloud-adjacent names with real exposure to Google's silicon instead of pure Nvidia GPU rental.
2. Optical / Photonics:
Because every GPU is useless if it can't talk to the GPU next to it.
$CRDO - Credo. The connectivity layer inside every AI cluster. Active electrical cables and DSPs that scale with every rack hyperscalers deploy.
$LITE - Lumentum. Legacy telecom optics company that's become a core 800G/1.6T transceiver supplier for the AI buildout.
$ALAB - Astera Labs. Connectivity chips that solve the bottleneck between GPUs, memory, and storage. Pure-play AI infrastructure with almost no legacy drag.
$COHR - Coherent. Lasers, optical components, and transceivers spanning the entire photonics stack from datacom to industrial.
$MRVL - Marvell. Custom silicon and photonic fabric for hyperscalers. The company quietly inside more AI racks than people realize.
3. Memory:
The most cyclical, most violently mispriced sector in semis. HBM demand changed the entire setup.
$DRAM - DRAM ETF. One ticker, every important memory company on the planet, including South Korean companies like SK Hynix and Samsung Electronic, companies you CAN'T INVEST IN with most brokerages.
$SNDK - SanDisk. Spun off from Western Digital, now a pure-play NAND flash story riding the same supply tightness as everyone else in this sector.
$MU - Micron. One of three companies on Earth that makes HBM. The clearest direct line from AI buildout to memory revenue.
$WDC - Western Digital. Hard drive and enterprise storage demand riding the same data center capex wave as everything else on this list.
$STX - Seagate. The other half of the storage duopoly. Enterprise nearline drives are seeing the same supply crunch dynamics as memory.
4. Analog / Power Semis:
Unsexy. Necessary. Every data center, every EV, every robot needs power management silicon that doesn't get the AI premium yet:
$MXL - MaxLinear. Smaller-cap analog and mixed-signal play with infrastructure and data center exposure that's still flying under the radar.
$STM - STMicroelectronics. European chip giant spanning auto, industrial, and power semis. Way out of favor relative to its diversification.
$ON - ON Semiconductor. Power semis for EVs and industrial, now leaning harder into data center power delivery as a growth vector.
$VSH - Vishay. Passive components: resistors, capacitors, diodes. Boring until you realize literally everything electronic needs them.
$POWI - Power Integrations. High-voltage power conversion chips. Small cap, niche, and positioned for the power efficiency problem AI data centers haven't solved yet.
5. Physical AI / Robotics:
It's coming, soon, and the market is beginning to realize it.
$OUST - Ouster. Lidar for robotics, industrial, and autonomy. Consolidated the space after merging with Velodyne, now the survivor.
$VICR - Vicor. High-density power modules for robotics, AI servers, and defense. Power delivery at the component level, not the rack level.
$VPG - Vishay Precision Group. Precision sensors and strain gauges. The torque and force-sensing hardware that gives robots a sense of touch.
$AEVA - Aeva. 4D lidar with built-in velocity sensing. Smaller and earlier stage than the rest of this list, highest risk, highest ceiling.
$AMBA - Ambarella. Edge AI vision chips. Powers the cameras and perception systems inside cars, robots, and security infrastructure.
I believe a portfolio with these 25 names will severely outperform the market over the next few years. I have 7 figures throughout many of these names. These are all names I'm currently invested in, or plan on investing in in the near future.
None of this is financial advice.
@StockSavvyShay I recently got into $FPS when you initiated a position. Do you have initial thoughts on time lines and price targets on this company? I know they recently IPO’d so wanted to get your opinion on this long term?
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20 stocks I'll add in this May/June 2026 $SPY crash.
Remember, market always bounces back to all time highs.
1. $NVDA $225
Buy: $180–190 Prior breakout and massive institutional demand zone.
2. $MU $725
Buy: $500–$550 Strong support and AI memory demand acceleration zone.
3. $GOOG $392
Buy: $350–360 Historical accumulation zone and long-term AI infrastructure support.
4. $AAPL $300
Buy: $260–270 Major support with massive cash flow and buyback strength.
5. $IONQ 51
Buy: $25–38 Prior breakout zone with aggressive future growth potential.
6. $POET $16
Buy: $7–9 Early-stage AI photonics accumulation zone before mass adoption.
7. $DGXX $7
Buy: $3–3.50 Deep support zone with speculative AI infrastructure upside.
8. $MRAM $52
Buy: $14–15 Long-term semiconductor accumulation and breakout retest area.
9. $CIFR $20
Buy: $11–12 Oversold support with strong long-term cybersecurity demand potential.
10. $MSFT $42
Buy: $360–370 Major institutional support and AI cloud dominance zone.
11. $META $610
Buy: $530–540 Historical support and heavy AI monetization opportunity area.
12. $AMD $420
Buy: $340–350 Major support before next AI data center expansion cycle.
13. $INTC $107
Buy: $65–70 Multi-year support with asymmetric turnaround potential.
14. $ORCL $192
Buy: $140–150 Prior breakout zone with accelerating AI enterprise demand.
15. $QCOM $200
Buy: $150–160 Strong support with long-term edge AI opportunity.
16. $NOW $95
Buy: $80–85 Institutional demand zone and enterprise AI transformation support.
17. $ADBE $247
Buy: $224–235 Long-term support with massive AI productivity monetization potential.
18. $BE $42
Buy: $16–19 High-risk support zone with AI energy demand tailwinds.
19. $LITE $971
Buy: $600–650 Prior breakout zone and major AI infrastructure support.
20. $SNDK $1381
Buy: $800–900 Strong semiconductor support with rising AI storage demand.
21. $DRAM $50
Buy: $32–35 Early accumulation zone before broader AI infrastructure expansion.
If the $SPY sells off under $700 towards $650 by the end of June, I'm interested in $SPY calls for $750 June 2027 calls.
♻️RESHARE this post and make 1 comment if you want $SPY contract less then $10 to buy so you can hold it through volatility.
@pdicarlotrader I entered this one with your suggestion about a month ago. It did get down about 15% but I am pretty close to even now. With risk management and being a long time crypto investor. It didn’t bother me at all. Holding this trade until the we are close to 45-50.
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If you want to be financially free...
Here's where the top 1% are going all in: