I’m watching both $AEM SGD(AWX.SI)$ $NTT DC REIT USD(NTDU.SI)$ because they represent two very different AI infrastructure plays. Personally, I think AEM’s +18% surge shows the market is finally pricing in a real semiconductor equipment recovery after a difficult 2024. If AI accelerator & HBM demand keeps rising, AEM may still have more upside. For NTT DC REIT, the muted reaction also makes sense. REIT investors still focus heavily on DPU growth and interest rates, and elevated bond yields are limiting upside for the sector. The market likely wants clearer proof that AI demand can support stronger distributions before rewarding the stock with a higher valuation. Between them, I currently prefer

I’m cautiously positive on $SIA(C6L.SI)$ despite Brent crossing US$120. Fuel costs are clearly a major headwind, but SIA’s premium passenger base and Singapore’s safe-haven status could help offset some pressure through stronger business and premium cabin demand. Load factors staying resilient will also be an important sign of pricing power. For FY net profit, I expect a YoY decline mainly due to higher fuel costs and possible Air India-related impact. Still, SIA’s balance sheet and pricing power remain stronger than most airlines, so I don’t see this as a long-term problem. As for Air India, I see it as a long-term strategic bet on India’s aviation growth rather than a short-term earnings driver. The key thing I’ll watch this quarter is the

My stock in focus today will be $Cisco(CSCO)$ after its strong earnings report. Revenue, EPS, and guidance all beat expectations, while AI infrastructure orders surged sharply. The company also raised its full-year outlook, showing that AI demand is accelerating faster than expected. What impressed me most was the strength in AI networking demand from hyperscale cloud customers. Cisco raised its AI order forecast from $5 bil to $9 bil, while networking orders jumped more than 50% YoY. This proves the AI boom is not only benefiting chipmakers, but also companies providing the critical networking infrastructure behind AI data centers. I also see Cisco’s restructuring as a positive long-term move. Management is shifting resources aggressively into A

$Kulicke & Soffa(KLIC)$ I continue to average into Kulicke and Soffa Industries because I still believe the semiconductor packaging and advanced AI infrastructure cycle is far from over. While the stock has been volatile together with the broader chip sector, KLIC remains well positioned in areas like advanced bonding and next-generation semiconductor manufacturing, which could benefit as AI demand keeps expanding globally. Another reason I am staying patient is because the market is still in the middle of digesting inventory normalization and uneven recovery across consumer electronics. Once the cycle improves further, I believe earnings momentum and sentiment could return stronger than many expect. The company also maintains a relativel

What stood out most to me is Jensen Huang being added at the very last minute. That makes me think semiconductors and AI exports became a key agenda item after the delegation was already finalized. If this trip leads to even limited easing on AI chip restrictions, $NVIDIA(NVDA)$ could regain part of a market that was once one of its biggest growth drivers. I think $Micron Technology(MU)$ and $Qualcomm(QCOM)$ may actually see the fastest direct earnings benefit from improving US-China relations because of their large China exposure. For NVIDIA, the upside is massive, but expectations going into May 20 earnings are already extremely high, so “buy the rumor, sell

$ARM Holdings(ARM)$ I started to DCA into ARM because I believe the company sits at the center of the AI and semiconductor ecosystem. Almost every major smartphone chip already runs on ARM architecture, and now the same dominance is expanding into AI servers, edge computing, automotive chips, and data centers. As AI demand keeps accelerating globally, ARM is positioned to benefit from the long-term growth of computing power. What attracted me most is ARM's business model. Unlike chipmakers that need massive factories and inventories, ARM mainly earns through licensing and royalties. That creates a more scalable and asset-light model with strong margins. The more devices and AI chips shipped worldwide, the more ARM potentially earns without car

My stock in focus today is $Ambiq Micro(AMBQ)$ after the company posted strong Q1 results driven by rising edge AI demand. Revenue surged 59% YoY to $25.1M, beating expectations, while losses also came in better than forecast. The stock jumped 45% despite a broad selloff across semiconductor names. What stands out is the rapid adoption of edge AI, with over 80% of Ambiq’s shipped units now running AI algorithms. Its ultra-low-power chips are being used in smartwatches, industrial sensors, smart-home devices, and other connected products, positioning the company well for the next wave of AI growth. Management also guided Q2 revenue above Wall Street estimates, showing momentum remains strong. While profitability is still some distance away, invest

I see space stocks as the next AI infrastructure trade, since AI will need satellite networks, connectivity, and defense integration. Among them, $Rocket Lab USA, Inc.(RKLB)$ looks strongest to me because backlog growth, improving profitability, and the Neutron catalyst show real execution. The main debate now is valuation after the huge rally. For $AST SpaceMobile, Inc.(ASTS)$ , the direct-to-cell opportunity is huge, but commercialization still takes time. A -10% drop alone is not enough for me to chase aggressively, though I would consider slowly accumulating if launch execution improves. I also think the market may underestimate SpaceX Terafab. If SpaceX expands deeper into AI-space infrastructure, t

I’m still bullish into $NVIDIA(NVDA)$ earnings because the story now goes beyond GPUs. I think NVDA is becoming the core infrastructure layer for the AI economy. If Goldman’s $1T data center revenue thesis plays out, today’s valuation may still look reasonable despite the huge rally. What interests me most is the Agentic AI angle and NVIDIA entering the CPU market. I see it as ecosystem expansion rather than a distraction. If AI agents drive massive inference and scheduling workloads, CPUs become strategically important too. That could pressure AMD and Intel while strengthening NVIDIA’s moat with Blackwell and Rubin. That said, I still expect volatility after earnings because expectations are extremely high. Even strong beat-and-raise quarters c

My stock in focus today will be $Quantum Computing Inc.(QUBT)$ after the company surged following its latest earnings release. The biggest surprise came from its Q1 FY2026 results, where adjusted EPS loss narrowed to -$0.02, beating expectations -$0.05, while revenue climbed to $3.69 mil, far above consensus & up over 9,300% y-o-y. In addition, the growth was not driven purely by hype, but by rising demand for its photonics products alongside strategic acquisitions such as Luminar Semiconductor & NuCrypt. These acquisitions appear to be strengthening QUBT’s manufacturing capabilities & accelerating its quantum & photonics roadmap. Quantum-related names have been regaining momentum recently & QUBT’s strong revenue acceleration

I’m paying much closer attention to Korea this year because the setup feels very different from past chip cycles. AI-driven HBM shortages, multi-year supply lock-ins, and the “Korea discount” unwinding are creating both earnings growth and valuation expansion together. Even after the rally, Samsung and SK Hynix still don’t look expensive to me at around 5-6x forward earnings while sitting at the center of the AI infrastructure boom. Personally, I prefer a mix of direct semiconductor exposure & $iShares MSCI South Korea ETF(EWY)exposure. SK Hynix has the strongest HBM positioning, but Korea as a whole may still be in the early stages of rerating compared with expensive US AI names. My biggest concern is not AI demand slowing, but expectations

My stock in focus is $Ondas Holdings Inc.(ONDS)$ ahead of its earnings report. The company is projected to deliver nearly 628% YoY revenue growth to around US$39.4M, supported by strong backlog conversion & rising demand for autonomous defense & mission systems. Although earnings are still negative, adjusted EPS is expected to improve YoY, showing early signs of operating leverage as deliveries ramp. What stands out most to me is ONDS’ growing backlog and order momentum. The company recently secured an initial US$68M military engineering order, while the Mistral merger lifted pro forma backlog to roughly US$457M. That provides stronger multi-quarter revenue visibility. I’ll also be watching management updates on delivery execution, margin

I’m currently leaning more hardware-heavy because AI capex still looks very early. DIAMANS makes sense since infrastructure spending is already translating into real cash flow, especially for memory, storage, servers, and compute. That’s why names like $Micron Technology(MU)$ $SanDisk Corp.(SNDK)$ $Intel(INTC)$ are suddenly seeing strong rotation flows. Among the seven, I still think Micron Technology has one of the strongest setups because every AI workload needs more HBM and DRAM. I also don’t see $NVIDIA(NVDA)$ smaller move today as bearish — it feels more like funds rotating into lagging AI hardware names instead

$EQT Corp(EQT)$ $EQT Corp(EQT)$  I've recently started to DCA into EQT Corporation because I believe it sits right at the intersection of three massive long-term themes: AI power demand, the global energy reshuffling after the Middle East disruptions, and the positioning of some of the smartest institutional capital in the market today. What caught my attention was not just the stock itself, but how multiple independent research paths all converged toward the same conclusion — that natural gas may become one of the most critical bottlenecks of the AI era. The first reason is the AI electricity story. Over the past year, the market focused heavily on GPUs, memory, and AI infrastructure names, but i

$ARM Holdings(ARM)$ $ARM Holdings(ARM)$  I've recently started to DCA into Arm Holdings because I believe the company is becoming one of the most important foundational players in the AI and edge computing era. While many investors focus mainly on GPU makers, ARM's architecture already powers the majority of smartphones and is now expanding aggressively into AI PCs, data centers, automotive, and IoT devices. To me, this creates a very strong long-term structural growth story. What makes ARM especially attractive is its business model. Unlike chip manufacturers that require massive capital expenditure, ARM operates with a licensing and royalty-based model that can scale efficiently as more devices

I’d still choose $DBS(D05.SI)$ into year-end because it continues showing the strongest execution among the three banks. Even with lower rates pressuring NII, DBS still delivered strong deposit growth, record wealth fees, and upgraded guidance. I also currently hold a position in DBS as I see it as the most resilient Singapore bank in a volatile market. I think Middle East tensions and global uncertainty could continue supporting Singapore’s safe-haven wealth inflow advantage. Among the local banks, DBS looks best positioned to benefit due to its scale and stronger wealth management franchise. $ocbc bank(O39.SI)$ has interesting long-term upside if its Indonesia integration succeeds, while

Today’s stock in focus for me is $IREN Ltd(IREN)$ after $NVIDIA(NVDA)$ strategic backing further boosted its AI infrastructure story. NVIDIA’s potential $2.1 billion investment and Blackwell deployment agreement show IREN is rapidly evolving from a Bitcoin miner into a serious AI cloud infrastructure player, with plans to scale toward 5GW of AI data center capacity. What stands out is the combination of NVIDIA’s AI hardware leadership and IREN’s ability to secure land and power resources, which are becoming critical bottlenecks in the AI race. The acquisition of Spain-based Ingenostrum also strengthens IREN’s European expansion and future growth pipeline. $Microso

To me, the recent highs in SPX, IXIC & $NVIDIA(NVDA)$ reclaiming a $5T market cap show that the AI cycle is still the main driver. At this point, holding quality AI-linked stocks has largely been enough, as earnings from names like AMD & ARM keep expanding the same infrastructure narrative across CPUs, orchestration & memory. At the same time, I’m aware the market is becoming more divided underneath the surface. Even with geopolitical risks easing, hedge funds have been net sellers & leverage in tech is coming down, which suggests institutions are becoming more cautious even as indices grind higher. So I’m staying invested but more selective. I still focus on AI infrastructure like AMD and ARM, and memory names like $SNDK$ and $M

Personally, with COE above S$125,000, I would still choose MRT over owning a car in Singapore. Paying over S$200k for a normal family car is becoming very hard to justify, even for dual-income households. I also think COE prices may stay structurally high due to limited supply and strong demand. From an investment angle, $Byd Company Limited(002594)$ appears to benefit the most. Singapore may be a small market, but it is an important branding showcase for Southeast Asia. BYD’s strong visibility here strengthens its regional expansion story beyond China. For $NIO Inc.(NIO)$ and $XPeng Inc.(XPEV)$ , I think the premium EV market in Singapore is very niche. At S

Today, my stock in focus is $Albemarle(ALB)$ after the company posted earnings that far exceeded expectations, sending shares sharply higher. The world’s largest lithium producer benefited from rising lithium prices and stronger demand from the EV and energy storage sectors, highlighting a potential recovery in the lithium cycle. Supply conditions have also tightened significantly due to a mine closure in China, Zimbabwe’s export ban, and lower lithium inventories globally. Albemarle’s lithium division revenue surged 70%, driven by both higher prices and stronger sales volumes, showing improving momentum across the battery materials market. Management remains disciplined on spending despite the rebound, which could help keep lithium supply constra