$Microsoft(MSFT)$ I added to my Microsoft position following its presentation at the Morgan Stanley TMT Conference 2026. The core thesis remains intact: AI is not just an enhancement but a platform shift. Despite near-term headwinds such as rising capital intensity and capacity constraints, Microsoft is investing aggressively in AI and agentic computing while maintaining cost discipline. Subscription growth above 20% reinforces demand durability. More importantly, the evolution toward hybrid subscription and usage-based models unlocks new monetization layers beyond Office. With strong OpenAI alignment and long-term capital allocation focus, I see current investments as laying the groundwork for sustained compounding.

$Microsoft(MSFT)$ I added to my Microsoft (MSFT) position following its March 4 presentation at the Morgan Stanley TMT Conference 2026. The investment case is strengthened by its aggressive push into AI and agentic computing, supported by strategic partnerships like OpenAI. Despite near-term headwinds such as rising capital intensity and capacity constraints, Microsoft’s focus on cost efficiency and model optimization is encouraging. A notable >20% growth in subscriptions and expansion beyond the traditional Office ecosystem signal durable demand. The shift toward hybrid subscription and usage-based models further enhances long-term monetization potential and justifies continued capital allocation.

$NVIDIA(NVDA)$ I added to my NVIDIA position following its compelling presentation at the Morgan Stanley TMT Conference 2026. The company continues to demonstrate exceptional execution, delivering $70B in revenue and $46B in net income while doubling down on AI investments, including partnerships with OpenAI and Anthropic. What stands out is NVIDIA’s long-term vision—transitioning from agentic AI to physical AI—alongside its focus on compute as the core revenue engine. Its emphasis on tokens per watt further reinforces cost leadership. With expanding ecosystems and strategic collaborations, NVIDIA remains uniquely positioned to dominate the next wave of AI innovation.

$Amazon.com(AMZN)$ I added to my AMZN position following continued conviction in its long-term AI and cloud growth story. On March 20, Monness analyst Brian White reiterated a Buy rating with a $280 target, highlighting Amazon’s strong positioning within the AI ecosystem. AWS stands to benefit significantly from rising AI adoption, supported by NVIDIA’s data center roadmap and increasing hyperscale demand. The expanding partnership with OpenAI further lifts long-term revenue potential and total addressable market. While macro and regulatory risks remain, Amazon’s scale, innovation pace, and cloud leadership provide strong downside resilience and upside optionality.

$Apple(AAPL)$ I added to my Apple (AAPL) position amid recent softness, viewing the 9% month-over-month decline in spending data as largely in line with expectations rather than a structural concern. KeyBanc’s reaffirmation suggests fundamentals remain stable, with manageable margin pressure and valuations near historical norms. More importantly, Rosenblatt’s higher price target highlights upside from Apple’s expansion into lower-end segments, including new devices targeting broader adoption. This combination of steady fundamentals and potential product-driven growth reinforces my confidence to accumulate shares at current levels for long-term value.

$Broadcom(AVGO)$ I increased my position in Broadcom (AVGO) as the company continues to strengthen its leadership in AI infrastructure and next-generation networking. Its launch of a post-quantum cryptography-safe encryption solution positions AVGO at the forefront of future cybersecurity needs, especially as AI workloads scale. At the same time, its new 3nm optical DSP enhances efficiency and bandwidth for data centers, reinforcing its competitive edge. With strong institutional backing, including a higher price target from Morgan Stanley, and continued momentum in ASIC and networking demand, AVGO offers compelling long-term growth potential.

$Amazon.com(AMZN)$ I added to my AMZN position following reaffirmed conviction from Monness, which maintained a Buy rating and $280 price target. The key driver remains AWS, which is strategically positioned to benefit from accelerating AI adoption and rising demand for hyperscale infrastructure, supported by NVIDIA’s data center roadmap. The expanding partnership with OpenAI further strengthens Amazon’s long-term revenue potential and enlarges its addressable market. While macro and regulatory risks persist, Amazon’s scale, innovation pace, and leadership in cloud and AI provide strong downside resilience and compelling upside opportunity.

$Apple(AAPL)$ I added to my Apple (AAPL) position on recent weakness, viewing the pullback as an opportunity rather than a warning sign. While KeyBanc highlighted a 9% month-over-month decline in spending data, this appears largely in line with expectations and lacks clear directional insight for the quarter. Importantly, margin concerns seem overblown, and valuation remains anchored around historical levels. At the same time, Rosenblatt’s higher price target reflects upside from Apple’s push into lower-end segments with new products. This combination of stable fundamentals and incremental growth drivers supports a favorable risk-reward profile.

$Alphabet(GOOG)$ I added to my GOOG position because Alphabet is pushing Gemini deeper into the Mac ecosystem, which could broaden adoption and strengthen its competitive edge against OpenAI and Anthropic. Bloomberg reported that Google is testing an early private version of the app and gathering outside feedback, a smart move to refine the product before launch. The planned Desktop Intelligence feature is especially promising because it could let Gemini work across Mac apps like Calendar, making the assistant more practical and sticky for everyday users. This looks like a meaningful step toward larger AI monetization.

$NVIDIA(NVDA)$ I added to my NVIDIA position following its strong showing at the Morgan Stanley TMT Conference 2026. The company continues to demonstrate exceptional execution, delivering $70B in revenue and $46B in net income, underpinned by surging AI demand. Its aggressive investments in OpenAI and Anthropic reinforce its central role in the AI ecosystem. Looking ahead, NVIDIA’s shift toward physical AI and focus on compute efficiency (tokens per watt) position it as a long-term leader. With innovation, partnerships, and compute as key drivers, I see sustained growth and compelling upside ahead.

$Advanced Micro Devices(AMD)$ I added to my AMD position following its strong strategic outlook presented at the Morgan Stanley TMT Conference 2026. The company is doubling down on high-growth segments like data center and AI, with a projected 35% CAGR and a target of over $20 in EPS within three to five years. AMD’s ambition to capture $120 billion in AI revenue by 2030, alongside an 80% CAGR in its data center AI business driven by MI450 demand, reinforces conviction. Partnerships with Meta and OpenAI further strengthen its ecosystem and long-term competitive positioning.

$Advanced Micro Devices(AMD)$ I increased my position in AMD following its compelling outlook shared at the Morgan Stanley TMT Conference 2026. Management highlighted strong momentum in both data center and AI, supported by key partnerships with Meta and OpenAI. AMD is targeting a 35% CAGR over the next 3–5 years, with EPS to exceed $20, alongside a bold ambition to capture $120 billion in AI revenue by 2030. With its data center AI segment projected to grow above 80% CAGR, driven by products like MI450, AMD remains well-positioned to capitalize on the expanding AI ecosystem.

$Broadcom(AVGO)$ Broadcom (NASDAQ:AVGO) has outperformed the market over the past 15 years by 24.95% on an annualized basis producing an average annual return of 36.21%. Currently, Broadcom has a market capitalization of $1.51 trillion.

$Microsoft(MSFT)$ Microsoft Corp. (NASDAQ:MSFT) is expanding its global AI and cloud footprint through new infrastructure investments and enhanced enterprise AI capabilities.

$Tesla Motors(TSLA)$ $Tesla (TSLA.US)$ said Thursday that it is expected to deliver 365,645 vehicles in Q1, according to a consensus of sell-side analysts it compiled.

$CLSK 20260327 10.0 CALL$ Closed to create liquidity 🙄

$NVDA 20260327 182.5 CALL$ Closed to create liquidity 

$Broadcom(AVGO)$ Mixed options sentiment in Broadcom with shares down 1.79%