I would watch margins next quarter, while giving Alibaba a modest cloud re-rating. The bullish case is real: Cloud and Compute grew 45%, its strongest growth in 22 quarters, while cloud adjusted EBITA jumped 133% and margin expanded to about 12%. AI product revenue has also delivered triple-digit growth for 12 consecutive quarters.  But I would not fully re-rate BABA on cloud growth yet. The problem is capital intensity. Capex rose 75% to RMB67.7bn, while GAAP net profit fell roughly 75%. Management is effectively exchanging near-term earnings and free cash flow for future AI capacity.  The crucial question is therefore not whether AI demand exists. It clearly does. It is whether cloud revenue and margins can grow faster than AI infrastructure spending. My hierarchy: 1. Cloud gro

I would wait for Warsh’s tone, while keeping a core long-tech position rather than rotating aggressively into rate-sensitive assets yet. The key signal is that Treasury’s intervention only produced a temporary rally. The long end quickly returned to concerns over deficits, inflation and term premium. The 30-year yield has been around multi-decade highs, while the 10-year has remained near 4.7%.  My positioning: Core: Stay long quality tech. AI earnings and structural capex remain powerful, although high long-term yields are the main valuation risk. Nvidia earnings on 26 August could provide another catalyst.  Do not chase rate-sensitive assets yet. Banks, REITs, small caps and long-duration bonds could rally sharply if Warsh signals easier policy, but they could suffer if he emph

My pick: GOOG > PYPL > CRWD > PLTR. GOOG has the strongest risk/reward, combining Search cash flow, Cloud growth and major AI optionality through Gemini and infrastructure. AI may threaten Search, but Alphabet also controls much of the ecosystem needed to monetise AI. PYPL is the contrarian value play. If checkout stabilises and margins improve, upside could be meaningful, though it remains a turnaround. CRWD remains a great business, but valuation leaves less room for error. PLTR has phenomenal growth, but its valuation already prices in exceptional execution. I agree with the downgrade tactically, not necessarily fundamentally. My move: buy GOOG, consider PYPL, and wait for better entry points on CRWD/PLTR.

I would buy SK Hynix on weakness, rather than step away from memory. My preference is SK Hynix > Samsung > avoiding the sector. The key distinction is that SK Hynix's payout is not simply management saying, "we have run out of attractive investments". It is explicitly buying and cancelling 40 trillion won of shares, while raising its target to return more than 50% of 2025-27 cumulative FCF. That is a direct reduction in share count and a strong signal management believes the stock is undervalued.  Samsung is potentially even more interesting as a value + dividend play, but the >100 trillion won figure remains a media report awaiting board approval. The reported plan would allocate 50% of FCF to shareholders, with dividends expected to dominate.  I don't see the payouts a

I would wait for Warsh’s Jackson Hole tone before rotating aggressively back into tech. The Treasury intervention is meaningful, but I would not interpret it as a durable reversal in long-term yields. The 30-year yield had reached about 5.34%, its highest since 2007, before Treasury announced it would at least double long-duration buybacks to $4bn per operation.  The bigger issue is the Fed. July's minutes were more hawkish than the headline "hold" suggests: three officials wanted a 25bp hike, several saw inflation as broad-based, and there was no meaningful discussion supporting a cut. Markets are even assigning better-than-even odds to a hike by October or December.  So my positioning would be: Tech: cautiously add, not chase. Lower yields provide exactly the relief that high-d

I would not chase Moderna at $174.38. I would rank the three choices: 1. Merck: best risk/reward 2. Wait for full data: best disciplined approach 3. Moderna: highest upside, but highest valuation risk The Phase 3 result is genuinely important. INTerpath-001 hit both recurrence-free survival and distant-metastasis-free survival, validating the personalised neoantigen approach in a pivotal trial.  But Moderna has already repriced the success very aggressively. The market is now capitalising not merely the melanoma indication, but the possibility that this becomes a platform across multiple solid tumours. That is where I would be cautious. Full hazard ratios, subgroup consistency, overall survival, durability, manufacturing economics and regulatory details are still needed. Reuters speci

If I had to pick one piece of the AI infrastructure stack for the next six months, I would choose memory/storage, with Micron (MU) as my preferred exposure. AI is increasingly becoming a data-movement problem, not just a compute problem. HBM demand remains strong, while AI servers are also driving significant demand for high-performance SSDs and NAND. Tight supply and improving pricing could provide additional operating leverage. Micron is particularly interesting because it has exposure across HBM4, conventional server DRAM and enterprise SSDs, giving it multiple ways to benefit as AI infrastructure scales. Power could ultimately become the biggest bottleneck, but power-generation and grid projects generally have longer lead times. Chips remain attractive, but valuations and expectations

If I had to choose one for the next 2–3 years, I would pick Marvell (MRVL). The key distinction is that CPO is not simply an “optics boom”. It changes where the value accrues. 1. Marvell: best overall CPO exposure Marvell is positioned across the interconnect stack rather than relying solely on optical modules. Its Celestial AI acquisition gives it Photonic Fabric for scale-up CPO, with management targeting a US$500m annualised run-rate by FY2028 Q4 and US$1bn by FY2029 Q4.  That is potentially a much larger incremental opportunity than merely selling more transceivers. 2. AXT: my second choice, but potentially the biggest near-term torque AXT is becoming a critical upstream bottleneck. Q2 InP revenue hit a record US$30.7m, versus US$13.6m in Q1, driven by AI optical demand.  The

I would pick A. Micron for the next three years. Nvidia remains the strongest AI leader, but expectations and valuation are already extremely high. Micron offers a different way to capture the AI boom, particularly through HBM and high-end memory. AI workloads are becoming increasingly memory-intensive, creating potentially structural demand for faster, higher-capacity memory. The biggest attraction is the possibility that AI demand keeps memory supply tight for longer, allowing Micron to sustain unusually strong pricing and margins. If that happens, earnings growth could significantly outpace the broader market. Berkshire is the safer choice, with diversified businesses, strong cash flow and a huge liquidity cushion. It would probably be my pick if capital preservation were the priority.

Of the four, I would choose Micron for the best risk-adjusted exposure, although SanDisk has the most explosive upside. My ranking: Micron > SK Hynix > SanDisk > Western Digital. Micron: My preferred balance of HBM/DRAM exposure, AI demand and valuation. Druckenmiller's Q2 exit is worth noting, but I would not treat one fund manager's portfolio decision as a fundamental signal.  SK Hynix: Probably the strongest pure HBM beneficiary, but you are paying for that leadership. It is less directly exposed to the SanDisk/NAND thesis. SanDisk: Highest upside, highest risk. The Investor Day genuinely changes the story: eight NBM agreements covering roughly half of FY27 and two-thirds of FY28 capacity provide unusually strong demand visibility. Management is targeting mid-to-high-teens

Alibaba is the print I would be watching most closely. Tencent has just demonstrated the key dilemma for Chinese tech: AI can accelerate revenue, but the infrastructure bill can arrive much faster. Tencent's Q2 capex surged 176% to RMB52.8bn and FCF turned negative, despite revenue rising 11%.  That makes Alibaba's AI Cloud economics particularly important. I want to see whether cloud growth is accelerating enough to justify the enormous AI investment, rather than simply seeing another strong revenue number. If Alibaba can demonstrate strong AI-related cloud demand while keeping margins and cash generation reasonably controlled, it could differentiate itself from Tencent's more capital-intensive trajectory. My ranking: 1. Alibaba: Most important. AI Cloud growth versus capex and FCF i

I would stay invested in AI and semiconductors, but avoid aggressively adding at these levels. The macro backdrop has improved, but the market has already priced in a lot of good news. The S&P 500 is coming off another record close, while July retail sales fell 0.6%, the first decline in nine months. Combined with benign CPI/PPI and weaker employment, this strengthens the case for a September Fed hold.  My preference would be: 1. Keep AI/semis: The secular earnings story remains strong, although valuations and expectations are high. Applied Materials' 5% drop despite good guidance is a reminder that even strong AI-related results can disappoint when expectations are extreme.  2. Gradually rotate into financials/consumer: Not a wholesale switch, but these sectors offer diversi

Keep buying, but selectively. The S&P 500 reaching a new all-time high is not, by itself, a reason to sell. Markets can continue making new highs when earnings, cash flows and economic fundamentals remain supportive. Trying to wait for the “perfect” pullback can also mean missing further gains. That said, I would not chase the market aggressively at these levels. Valuations are elevated, expectations around AI and technology are high, and any disappointment in earnings, interest rates or economic growth could trigger a sharp correction. My approach would be to keep investing gradually, particularly in high-quality businesses and diversified index exposure, while maintaining some cash for opportunities. If the market eventually experiences a meaningful pullback, I would rather use it t

My take: Moat matters, but cash flow is the real test. Buffett’s portfolio highlights why durable competitive advantages can matter more than chasing the fastest growth. A strong moat protects pricing power, customer loyalty and cash generation even when technology and market sentiment change rapidly. I also agree that contrarian thinking is crucial. The best opportunities often appear when the market becomes overly pessimistic about a good business. Ultimately, I would prioritise durable moat + strong free cash flow + sensible valuation. Growth is valuable, but paying any price for growth is not.

I would pick SanDisk > Western Digital > SNXX. SanDisk has the strongest fundamental catalyst. Its FY28–30 model calls for mid-to-high-teens annual revenue growth and ~50% adjusted FCF margins, while multi-year customer agreements are expected to cover roughly two-thirds of FY28 bits. That could make NAND earnings structurally less cyclical than before. WDC is attractive as a secondary beneficiary, but its HDD exposure makes it a less direct play on SanDisk's NAND thesis. I would avoid chasing SNXX after +27%. A 2x leveraged product magnifies the upside, but also the inevitable memory-sector corrections. SanDisk itself has already risen more than sixfold this year, so valuation and expectations are substantial. My choice: SNDK, preferably on a pullback. The Investor Day strengthens t

I lean wait for earnings rather than chase tech at record highs. The inflation backdrop is clearly improving: July CPI eased to 3.4%, while headline PPI was flat MoM and 4.7% YoY, strengthening the case for the Fed to remain on hold. That supports equity valuations, but the S&P 500 is already at a record and much of the easier-policy narrative is being priced in. I would keep existing tech exposure, avoid aggressively adding after the rally, and direct some new money towards gold/defensives. Earnings now need to justify elevated AI and growth expectations. Burry’s bearish positioning is worth noting, but not a timing signal by itself. My positioning: 50% wait, 30% tech on pullbacks, 20% gold/defensives.

I lean genius move, but with a dangerous feedback loop. Nvidia’s $500B plan uses third-party capital to accelerate AI infrastructure spending, effectively helping customers finance the ecosystem that buys its chips. That can extend Nvidia’s growth runway without putting the entire burden on its own balance sheet. The risk is circularity: financing enables more GPU purchases, those purchases strengthen Nvidia’s growth numbers, and strong growth attracts even more financing. If AI utilisation and customer cash flows eventually justify the investment, it is brilliant ecosystem building. If infrastructure expands faster than real AI demand, falling utilisation and rapidly depreciating GPUs could expose overcapacity. My verdict: genius while end-demand keeps catching up; dangerous if financing

I think scarce power plus contracted capacity ultimately holds the strongest pricing power. Nebius shows that machine hours can command extraordinary prices when GPU capacity is tight. Management even says it could sell all its 2027 capacity at current terms, while Q2 revenue surged 454%. But compute pricing is vulnerable as GPUs improve and competitors add capacity. CoreWeave’s $104bn backlog offers better visibility, but it still carries enormous capex, financing and customer-concentration risk. Riot is the interesting third model. A 20-year, 191 MW contract worth about $9.1bn locks monetisation to something AI cannot easily manufacture: power-connected data-centre capacity. My ranking: power/capacity > contracted compute > spot machine hours for durable pricing power. GPUs depreci

I would lean towards Buffett’s Alphabet bet, rather than blindly following the broader institutional semiconductor trade. Berkshire becoming a net equity buyer after 14 straight quarters of selling is significant, with roughly $10bn going into Alphabet. Alphabet gives exposure to AI through cloud, models and advertising monetisation without relying solely on ever-rising infrastructure spending. The Nvidia ecosystem is compelling too. Citi’s increased Micron and AMD positions suggest institutions still see upside across the semiconductor chain. But that trade carries greater cyclicality and raises the question of whether AI capex is creating genuinely independent demand or increasingly circular investment. My choice: Alphabet for risk-adjusted upside; semiconductors for higher-beta exposure

July CPI delivered exactly what markets expected, yet the reaction shows expectations themselves are moving. With headline inflation easing to 3.4% and core to 2.5%, the case for a September hike weakened further, although inflation remains above target and the Fed is still cautious. For me, the next leg depends less on CPI and more on jobs, PCE and energy. Another soft labour report plus benign PCE could push hike expectations even lower, supporting growth stocks and gold. But renewed energy inflation or stronger demand could quickly revive the hawkish trade. So this CPI was not the catalyst. It removed an obstacle. The bigger question is whether the next data confirm a genuine disinflation trend or expose July as another temporary soft patch.