elvintay07
Arch-Supremacy Member
- Joined
- Jan 4, 2022
- Messages
- 11,960
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As usual, most clowns miss the boat. Haha! Huat ah! Thanks to hard balls Adam Khoo, Tom Lee. Total respect
Ima laugh at you by end of may.My sifu leong
Alibaba 1 mth performance down 9%
Microsoft up 9%
China got 5,000 years history, lol! All the duakang China supporter ownself celebrate ownself
Interesting. Are you Master Leong? If China no up then chop bird bird ahAs expected, the bear rally due to low liquidity and slope of hope news happened.
According to my trading thesis (err, my non existent "tea leaves" thesis), NDX could be heading down here to 16,xxx or even 15,xxx level. SPX back to 4,8xx and below. Things might bounce up and down along the way down to give hope to bulls, as expected in a bear market.
US stocks are not in a good place. Better opportunities exist elsewhere (in EU, China)
Good luck to those who longed here in the US equity and bond markets. Hope you are watching carefully.
I'm not any Master. As mentioned earlier, I don't have any trading edge, only good at reading tea leaves and WSB posts as my sources of truth.Interesting. Are you Master Leong? If China no up then chop bird bird ah
Because good msft earningsWhy is US market up today when they just announced q1 had a contraction?
The article from Citrini Research, titled "Thematic Primer: Artificial Intelligence, Phase 2," discusses the evolving landscape of artificial intelligence (AI) investments, particularly the shift from infrastructure-focused investments to application-centric opportunities.
Phase 1: Infrastructure Build-Up
Initially, the AI boom, especially after the release of ChatGPT, led to significant investments in the infrastructure necessary to support large language models (LLMs). Companies like Nvidia, SuperMicro, and Dell benefited as they provided the hardware required for AI computations. This phase was characterized by a race to acquire GPUs and build data centers, leading to substantial capital expenditures.
Transition to Phase 2: Application and Implementation
Citrini Research posits that the AI industry is now entering Phase 2, where the focus shifts from merely building infrastructure to effectively utilizing it. This phase emphasizes the importance of companies that can implement AI solutions to derive tangible benefits, rather than those solely providing the underlying hardware. The success in this phase depends on the ability to integrate AI into products and services that directly impact end-users.
Market Adjustments and Strategic Shifts
Recognizing the saturation in infrastructure investments, Citrini Research adjusted its investment strategy. They exited positions in companies like Nvidia and took short positions on semiconductor ETFs, anticipating a market correction due to overvaluation in the hardware sector. This move proved prudent as it helped avoid significant drawdowns.
Implications for Investors
The key takeaway is that future investment opportunities in AI will likely stem from companies that can effectively apply AI technologies to create user-centric solutions. As AI becomes more accessible and cost-effective, the competitive advantage will shift to those who can leverage AI to enhance products and services, rather than those who supply the computational tools.
Conclusion
In summary, the AI investment landscape is transitioning from a focus on building capabilities to applying them. Investors should consider focusing on companies that demonstrate the ability to integrate AI into their offerings in meaningful ways, as these are poised to be the primary beneficiaries in this next phase of AI development.
As we move into “Phase 2” of AI (where the focus is on applying AI rather than building the infrastructure), the companies most likely to benefit over the next 5–10 years are those that:
- Already have massive user bases or distribution channels, and
- Can implement AI in ways that improve productivity, personalization, efficiency, or customer experience.
Potential Long-Term Winners (Application Layer — Phase 2)
These companies already have the infrastructure and are now layering AI into their core products:
Tech Giants with Strong Platforms
- Microsoft (MSFT) – Huge investment in OpenAI, integrating GPT into Office (Copilot), Azure, Teams, and GitHub.
- Alphabet (GOOGL) – DeepAI + Search + YouTube personalization + Google Workspace. Their Gemini model will be applied across services.
- Meta (META) – Strong moves in AI-driven recommendation systems (Instagram, Facebook), AI ads, and Llama models.
- Amazon (AMZN) – Applying AI to AWS, Alexa, logistics, and advertising. Their Bedrock service powers custom AI for enterprise clients.
- Apple (AAPL) – Quiet but strong: expect them to apply AI in iOS, Siri, Apple Health, and Vision Pro. They focus on UX, which will be critical in Phase 2.
These are platforms businesses use every day — and AI upgrades can meaningfully drive retention and upsell:
Enterprise SaaS Players (AI-Powered Workflow Tools)
- Salesforce (CRM) – Rolling out Einstein GPT into its CRM platform.
- ServiceNow (NOW) – Automating enterprise workflows with AI, strong moat in large corporates.
- Adobe (ADBE) – Firefly and AI integrations in Creative Cloud and Experience Cloud.
These are still earlier-stage or mid-cap companies that natively build around AI:
Emerging AI-First Application Companies
- UiPath (PATH) – AI + RPA (Robotic Process Automation). Making enterprises more efficient by automating repetitive tasks.
- Duolingo (DUOL) – Integrating AI tutors into language learning. Great engagement and network effects.
- Palantir (PLTR) – Their AI-powered decision platforms are gaining traction in government and private sectors.
- DataDog (DDOG) / Snowflake (SNOW) – Infrastructure monitoring and data warehousing companies turning increasingly AI-native.
How to Think About It
- Phase 1 = picks and shovels (Nvidia, SMCI, Broadcom).
- Phase 2 = apps and utility layer (who can use the picks and shovels the best?).
Very interesting, we got people looking at stars and leaves (same pattern) giving FUD.Interesting. Are you Master Leong? If China no up then chop bird bird ah
I'm not any Master. As mentioned earlier, I don't have any trading edge, only good at reading tea leaves and WSB posts as my sources of truth.
For China, I'm actually bullish on certain stocks like BABA, and some EU stocks, I am waiting for a chance to enter at my buy level. But bearish on US stocks.
lol! Got who looks at girls?Very interesting, we got people looking at stars and leaves (same pattern) giving FUD.
I shorted AAPL, but no guts to hold more than 1 day. Just pocket US$1k and run.Entered more shorts earlier today in ZB (bond), NQ futures earlier.
Expecting the bigger move down in both markets if my trading tea-sisis correct.
I shorted AAPL, but no guts to hold more than 1 day. Just pocket US$1k and run.
Yeah. I took profit also on Nvidia etc. actually now if short term can get gains like 10-15%, just take it. Since some experts here say may hit new low. This kind of see saw quite nice to make money,Me too. Balls are shrinking.
I closed all my calls on amd, nvidia, amazon and sofi last night and pocketed 10k.
On hit & run mode now.
No more hodl and leaps. Just weeklies.
Trump can post a meme and market will react to it.
Gonna close abnb put tonight.