SKYY First Trust Cloud Computing ETF Loading... : Bullish and Bearish Analyst Opinions
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00:08
Sep 03
Sep 03
Semis, hyperscalers, software can rally together.
Discrete AI buckets are fading, but within the AI buildout the three buckets of hyperscalers, semiconductors, and software can and should do well together rather than one area winning at the other's expense, even with more dispersion among individual names.
HIGH
22:44
Sep 02
Sep 02
AI data center investment is driving growth.
US data shows the fastest-rising construction category is AI data centers, and this is what is driving the economy. Neocloud companies are borrowing at 10-12% because they can earn their money back within about a year, showing real investment demand behind AI infrastructure.
MED
21:11
Sep 02
Sep 02
Stay long AI capex and hyperscalers
Morgan Stanley remains constructive on AI capex despite local political backlash. The internet team expects over $1 trillion of hyperscaler spending next year, supported by the AI sovereignty theme where governments want to control their own AI stacks, and by company mitigation measures such as ratepayer protection pledges and water-use disclosures. The AI buildout is expected to be less sensitive to policy outcomes than campaign rhetoric suggests.
HIGH
19:49
Sep 02
Sep 02
Secured compute capacity gives hyperscalers edge
Demand for compute still exceeds available supply for at least the next one to two years. Because compute is becoming strategic infrastructure, companies that have already secured large amounts of capacity have a competitive position based on how much compute they control and how quickly rivals can obtain comparable capacity. This puts hyperscalers and AI labs such as OpenAI and Anthropic in an enviable position.
HIGH
14:00
Sep 02
Sep 02
Hyperscalers safer than most neoclouds.
Hyperscalers set the enterprise security bar, while neoclouds have huge security variability; only certain neoclouds are approaching hyperscaler standards, and startups spending large amounts of VC on GPUs face underappreciated counterparty risk if they choose the wrong providers.
HIGH
21:43
Sep 01
Sep 01
Data center capex remains constructive despite backlash.
The public backlash against data centers—utility bill increases, environmental/water concerns, and quality-of-life complaints—is real and bipartisan, but the data center capex story remains intact. Morgan Stanley is still constructive with over $1 trillion in hyperscaler capex expected next year; the buildout is more likely to become conditional, with timing delays and geographic dispersion rather than a broad slowdown.
HIGH
17:32
Aug 27
Aug 27
AI spending will face strict ROI scrutiny.
The massive extrapolated demand for AI will face scrutiny as bondholders and consumers question the productivity and ROI of these investments. Hyperscalers may slip into negative cash flow, leading to a definitive moment where they have to pick and choose their AI spending.
MED
15:36
Aug 27
Aug 27
Hidden leverage and cash flow gaps concern.
Hyperscalers are showing a concerning gap between posted earnings gains and actual cash flow generation, partly because earnings carry an undue proportion of investment gains. The lack of transparency regarding their leverage and debt obligations makes them riskier compared to hardware or semiconductor companies.
MED
17:18
Aug 26
Aug 26
AI capex still early-to-middle innings
Nvidia's results are all about guidance. She believes AI and data center capex are still in the early-to-middle innings, not late cycle, so the secular growth story remains intact despite the seven-day selloff and valuation concern.
HIGH
13:00
Aug 25
Aug 25
AI returns settled; semis and hyperscalers lead.
Pies believes the data center ROI question was essentially settled by hyperscaler earnings, with GPU rental rates rising and cloud/data center revenue set to recontract higher. The next leg of the bull market needs semis and hyperscalers to go up together, and once the macro dust settles he wants to be long the AI trade because all roads lead back to semis and hardware leadership.
HIGH
12:29
Aug 25
Aug 25
Hyperscaler buyback air pocket looms
Companies are shifting from buybacks to capex, reducing a source of support for the market; she worries about a near-term 'show me the money' air pocket for hyperscalers even though she is bullish on the future.
MED
12:00
Aug 22
Aug 22
Hyperscalers control AI capacity; others squeezed.
Because data centers, semiconductors and nuclear energy capacity take years to build, the large hyperscalers making near-term bets will lock up scarce AI infrastructure and control the market, while smaller competitors and would-be participants are likely to be squeezed out.
MED
23:00
Aug 21
Aug 21
Hyperscalers control AI market; smaller rivals squeezed
Large hyperscalers are uniquely positioned to make the big near-term AI bets, secure data center capacity and energy, and will likely control the market, while smaller competitors trying to participate are likely to be squeezed out.
HIGH
12:07
Aug 19
Aug 19
Avoid hyperscaler AI spenders.
Orton would not own hyperscalers broadly or put marginal dollars there; he views them as the spenders in AI, while the market starts to question whether they can sustain the debt they are issuing and separates winners from losers.
MED
07:00
Aug 15
Aug 15
US cloud, data center, software outperform.
The AI theme is not broken but rotating. Memory earnings look best in 2027 with 2028 guidance not clearly better, so investors are shifting money toward areas with visible high growth. He says US cloud, data center, optical, and software names are currently favored because big tech earnings and cloud growth remain strong, while software stocks bottomed and rebounded. Korea lacks pure large-cap cloud, data center, and global software names, so this rotation is expressed through US sectors.
MED
16:28
Aug 14
Aug 14
Avoid hyperscaler overspenders; seek AI beneficiaries
The AI capital expenditure cycle will likely repeat the telecom/fiber overinvestment pattern: the current Mag7 hyperscalers are overspending and may become future losers, so investors should be selective and look to beneficiaries of AI infrastructure spending.
MED
13:53
Aug 13
Aug 13
Hyperscalers must spend on AI capex
Dan Ives compares the AI buildout to the Las Vegas Strip in 1955: hyperscalers understand there is only one strip, so they will keep spending on AI capex even through stock dips rather than risk being left miles off the strip. He says hyperscaler earnings show demand is starting to take over and the capex cycle is accelerating.
HIGH
19:39
Aug 12
Aug 12
AI spend persists despite overbuild worry.
Massive AI data center buildout may be overdone with revenue and profit pushed into the future, but AI has become a central pillar of U.S. national security policy, so no government will allow the train to slow down soon and AI spending will outlive this administration.
HIGH
22:36
Aug 11
Aug 11
Hyperscalers beat semis on risk/reward.
Within technology, hyperscalers are preferred over semiconductors for the multi-month horizon. Hyperscalers offer resilient core businesses, attractive relative valuation, and underappreciated optionality around AI-related return on investment and adoption. They are not only enablers of AI but early adopters themselves, with flexibility to reduce capex if markets demand discipline. Semis can participate tactically only after momentum unwinds, but overall risk/reward favors hyperscalers.
HIGH
22:17
Aug 04
Aug 04
Hyperscaler capex strong, risks to upside
Hyperscaler AI capex will remain elevated this year and next, with risks skewed to the upside. Federal policy remains supportive despite local opposition, because the US-China AI race creates strong national security incentives to keep facilitating the buildout. The 'conditional buildout' means companies will offer local concessions but overall spending continues, benefiting the hyperscalers driving data center investment.
MED
21:36
Aug 03
Aug 03
Prefer hyperscalers over semiconductors.
Hyperscalers have resilient core businesses, exposure to the AI application layer, and the ability to use AI to reduce operating expenses. They have outperformed semiconductors by 30% over the past four weeks and can continue to lead. The market will favor those showing capex discipline and return on investment.
HIGH
14:22
Jul 29
Jul 29
Heavy AI spenders will outperform under-spenders.
The larger-scale tech volatility is driven by investors poking at a perceived AI bubble, not by higher rates or financing. Companies that are not spending enough on AI are the ones likely to fall behind in the AI race, making heavy AI spenders the better-positioned investments.
MED
22:22
Jul 23
Jul 23
Prefer hyperscalers over semiconductors near-term.
The US equity strategy team sees hyperscalers as early in discounting the market's renewed focus on capex discipline, leading them to maintain a relative preference for hyperscalers over semiconductors for the next several months.
MED
04:08
Jul 23
Jul 23
Cloud providers outperform on earnings strength.
Based on Alphabet's results, cloud companies will outperform this earnings season, as evidenced by Alphabet's 82% cloud revenue growth and best-ever cloud segment margins, while software lags.
MED
22:07
Jul 22
Jul 22
Hyperscalers and semis to rise together.
Hyperscalers and semiconductors have been rotating and not rising together, but upcoming hyperscaler capex reports and earnings will likely cause both to trade better and finally rise together as the quarter progresses.
MED
21:35
Jul 22
Jul 22
Hyperscalers to outperform semiconductors
Hyperscaler stocks are likely to outperform semiconductors. Semiconductors have lost momentum, earnings revisions are stretched, and the unwind of the crowded semi trade is probably unfinished. This is the fourth such adjustment since ChatGPT launched.
HIGH
17:39
Jul 22
Jul 22
Hyperscalers near-term risk/reward looks better.
The risk/reward for hyperscalers has improved near term. UBS has closed its underweight position and moved to neutral. If this earnings season shows more signs of AI monetization, investors could re-rate the group upward. In the short term, some rotation between hyperscalers and semiconductors is likely, but both can work longer term.
MED
20:08
Jul 17
Jul 17
Watch for hyperscaler weakness rotation
Worries that the weakness caused by the K3 model could rotate from semiconductors to hyperscalers, so more than one day is needed to determine if hyperscalers will face selling pressure.
MED
11:46
Jul 09
Jul 09
Hyperscalers to show improved ROI soon
Hyperscalers are poised to show improved return on invested capital as token costs fall while prices stay stable, and despite market fear they will not cut 2027 capex; the shift could start next quarter.
MED
06:50
Jul 09
Jul 09
Hyperscalers trade at multi-year low multiples.
Hyperscalers are trading at the lowest multiples seen in the last few years, yet they are central to the AI ecosystem and earnings-driven market. Despite some frothy segments, these large-cap platforms offer cheap exposure to AI growth.
HIGH
About SKYY Analyst Coverage
Buzzberg tracks SKYY (First Trust Cloud Computing ETF) across 13 sources. 39 bullish vs 5 bearish calls from 46 analysts. Sentiment: predominantly bullish (53%). 64 total trade ideas tracked. Past 7 days: 6 bullish. Latest voices: Gabriela Santos, Lee Kwon-hee, Ariana Salvatore.