Analyst activity around AI-related names accelerated this week as firms reassessed earnings, guidance and secular market opportunities tied to artificial intelligence. The changes ranged from bullish upgrades on a major chipmaker to cautious downgrades for a marketing software provider, while research surveys and an initiation on a data security name further illustrated the varied ways AI is influencing corporate outlooks.
AMD lifted by strong quarter and agentic AI narrative
Advanced Micro Devices drew the most attention after posting first-quarter results that outperformed consensus and setting a second-quarter revenue guide well above Street expectations. AMD reported revenue of $10.25 billion and earnings per share of $1.37, beating analyst forecasts of $9.9 billion and $1.28, respectively. Datacenter revenue was a standout at $5.78 billion, a 57% increase year over year, powered by robust server CPU performance.
The market reaction was swift: shares jumped by more than 18% on the day of the release. Management's guidance for the second quarter pointed to revenue of $11.2 billion versus the consensus view of $10.5 billion. Within that outlook, datacenter revenues were expected to rise double-digits sequentially and server CPU sales were projected to grow by more than 70% year over year.
Two influential brokerages moved to reflect the stronger outlook. Goldman Sachs upgraded AMD to Buy and raised its 12-month price target to $450 from $240. Analyst James Schneider wrote that the firm was upgrading AMD given tailwinds to the server CPU business from agentic AI, in addition to potential upside for datacenter GPUs in 2027 and beyond. Schneider framed the growth opportunity as a medium-term tailwind driven by the spread of agentic AI across both enterprise and consumer workloads, with AMD positioned to benefit as AI agents interact with existing x86 infrastructure.
Bernstein also raised its view on AMD, shifting its rating to Outperform from Market-Perform and increasing its price target to $525 from $265. Bernstein's modeling now places AMD earnings above $14 per share in 2027 and approaching $20 in 2028. Analyst Stacy Rasgon observed that management's revised view - effectively doubling prior total addressable market assumptions to imply roughly 35% compound annual growth through 2030 and a TAM near $120 billion - appears increasingly plausible in light of the agentic AI surge.
Rasgon added that the company has consistently surprised with the strength of both its business and its stock, and noted that while momentum in the market has sometimes been more sentiment than substance, AMD's recent performance deserves credit for a fundamental story that appears to be materializing.
Alibaba named China’s AI frontrunner in CIO survey
A Morgan Stanley AlphaWise survey of 60 chief information officers conducted in March and April for the bank's 1H26 China CIO Survey highlighted Alibaba as the leading beneficiary of China's AI buildout. The research found Alibaba's Qwen model consolidating a lead across multiple layers of the AI stack - cloud, models and applications.
Survey results showed the share of CIOs choosing Alibaba to assist with AI deployment rising to 41% from 32% in the prior survey. Meanwhile, 30% of respondents said they expect Alibaba to capture the largest incremental share of AI spending this year, placing it first in that metric; ByteDance's Doubao was identified as a close challenger at 27%.
Morgan Stanley analysts led by Yang Liu summarized Alibaba's advantage as stemming from full-stack AI capabilities. The survey also documented a loss of momentum for DeepSeek, with the share of CIOs expecting it to gain the most market share slipping to 18% from 33% previously. The bank attributed DeepSeek's decline relative to competitors to Qwen's steady iteration and ByteDance's aggressive marketing, compared with DeepSeek's lower-profile approach and longer development cycles.
On the infrastructure front, respondents anticipated faster adoption of public cloud over the next three years. Alibaba was seen retaining a leading position, although ByteDance and Huawei were cited as gaining ground. Additionally, more than half of CIOs surveyed expected cloud service prices to rise over the next 12 months.
HubSpot ratings trimmed on tepid guidance and growth timing worries
Two brokerages cut their ratings for HubSpot following the marketing software company's first-quarter report. Although headline results beat expectations, analysts expressed disappointment with guidance and lingering uncertainty about when meaningful acceleration in growth would return.
William Blair downgraded HubSpot to Market Perform from Outperform, while Cantor Fitzgerald moved to Neutral from Overweight and reduced its price target to $200 from $325. The company reported $881 million in first-quarter revenue, up 23% year over year and beating consensus, with constant-currency growth of 18% surpassing the company's own guidance of 16%. Operating margin came in at 17.8%, or 100 basis points ahead of estimates.
Despite the upside on top-line and margins, Cantor highlighted concerns about how much of the quarter's beat flowed into full-year guidance. After accounting for a $4 million smaller foreign-exchange benefit relative to when guidance had been set, management passed through only about two-thirds of the quarter's upside into fiscal 2026 revenue guidance. Cantor said this dynamic significantly impairs the likelihood of achieving the high-teens to roughly 20% constant-currency growth that many investors anticipated for the year.
Management also described an elongated sales cycle dynamic. HubSpot spent roughly a week in April retraining its sales organization following updates associated with its Spring Spotlight product launch, which the company said weighed on early second-quarter momentum. Cantor characterized several causes of lengthening sales cycles as largely self-inflicted decisions intended to benefit the company over the longer term, but warned these choices are likely to suppress growth over the coming quarters.
William Blair underscored additional pressure points: net new annual recurring revenue growth lagging overall revenue growth in the first quarter, constant-currency billings decelerating to 17% from 19% in the prior quarter, continued challenges in upgrades and cross-selling, and the prospect of longer sales cycles linked to pricing changes for its AI agents. Nonetheless, William Blair framed the downgrade as a timing issue rather than a rejection of HubSpot's AI positioning.
William Blair noted that gross retention remained in the high 80s and that AI credit consumption increased 67% sequentially, with solid uptake across Customer Agent, Prospecting Agent and Data Agent offerings. The firm emphasized that this is not a downgrade on HubSpot as an 'AI loser,' but cautioned that the share is likely to remain rangebound until clearer signs of resumed growth acceleration appear.
BofA highlights materials as potential beneficiary of AI, defense, housing themes
Bank of America chief strategist Michael Hartnett flagged the materials sector as positioned to benefit from a combination of forces, despite the sector's diminished weighting in the S&P 500. Materials currently account for about 2% of the index's market capitalization, a near three-decade low, Hartnett argued, and he singled out several catalysts that could drive demand for materials.
Those catalysts include a geopolitical push for natural resources, an estimated $750 billion AI capital expenditure boom, global defense spending approaching $3 trillion, a U.S. housing shortage exceeding 4 million units, and what Hartnett referred to as stealth appreciation in the Chinese renminbi. He framed materials as fitting into BofA's 'hubris and humiliation' barbell strategy - pairing high-flying, popular sectors such as AI and semiconductors with unloved cyclicals that could benefit from the later stages of nominal GDP growth.
In Hartnett's view, materials sit in the 'humiliation' category alongside consumer stocks, China and U.K. equities, offering potential contrarian exposure against the ongoing enthusiasm for chips and AI. He suggested that these beaten-down cyclicals could act as a complementary counterweight to today's market favorites.
Wolfe Research initiates coverage of Rubrik, labels it an AI-era data security play
Wolfe Research introduced coverage of Rubrik with an Outperform rating and a $70 price target. Analyst Patrick O'Neil anchored the target at 7.5 times calendar year 2027 enterprise value-to-sales and 36 times free cash flow, pointing to Rubrik's Zero Trust architecture and expanding role in enterprise cyber resilience as competitive differentiators.
Wolfe traced the market for backup and recovery from physical media to its current cloud-influenced form, arguing that changes in cloud architecture, SaaS adoption and evolving cyber threats have shifted the nature of the market and elevated the relevance of platforms like Rubrik's. The brokerage expressed confidence that Rubrik can sustain subscription annual recurring revenue growth north of 30% this year, with durable high-20% growth rates in subsequent periods.
Specifically, Wolfe forecasted subscription ARR growth of roughly 32% year over year for fiscal 2027, a pace it noted would be ahead of Rubrik's own guidance of about 25%. The firm also highlighted Identity Security as a meaningful contributor, suggesting that the segment could double its roughly $30 million net new annual recurring revenue contribution from the prior year.
O'Neil concluded that Rubrik clearly belongs in the category of AI winners, listing it alongside names such as DDOG, SNOW, CRWD and NET, and said the company warrants the premium valuation that such positioning can command.
What this means for markets and sectors
Across semiconductors, cloud and software, the week's analyst moves demonstrate how AI-related demand is reframing investor expectations. For chipmakers, the rise of agentic AI is being read as a structural growth driver for server CPUs and potentially for datacenter GPUs in later cycles. In cloud services, full-stack AI capability is a differentiator that can translate into higher share in AI deployments. For software vendors and data security firms, execution on AI-enabled products and the ability to monetize AI services will influence near-term growth trajectories and valuations.
At the sector level, materials were flagged by strategist commentary as an area that could see benefit from sustained AI capex, alongside defense and housing-driven demand. Meanwhile, marketing and CRM software faces questions of growth timing even as AI products gain traction with customers.
Bottom line
The past week of analyst actions reflected both conviction and caution. Upgrades for AMD and the initiation on Rubrik underline a bullish view that AI investments are materially reshaping addressable markets for chips and data security. Conversely, the downgrades at HubSpot show how execution, sales-cycle dynamics and guidance can temper enthusiasm, even when a company's AI product uptake appears promising. Survey data on Alibaba reinforces the point that AI leadership in cloud and model stacks can translate into widening adoption and expectations for incremental spend.
Investors and industry watchers will likely continue to parse quarterly results, guidance and user-adoption metrics closely to distinguish which firms are capturing durable AI-driven demand and which are still wrestling with growth-timing issues.