Connect with us

Tools & Platforms

UBS Picks the Superior AI Stock to Buy After Earnings

Published

on


The AI boom is nearly 3 years old, and one thing is certain about it: the boom has legs, and AI is here to stay. More and more companies are turning to the technology to enhance all sorts of functions, from customer service to chatbots to high-level data analytics and even to decision-making processes. According to Fortune Business Insights, up to 35% of all businesses have integrated AI into their work models.

  • Take advantage of TipRanks Premium at 50% off! Unlock powerful investing tools, advanced data, and expert analyst insights to help you invest with confidence.

This equals big money for the AI developers out there. Chip makers, AI app creators, data analysis firms – all of these and more have created an industry that was valued at $233 billion last year, and is estimated by Fortune Business Insights to hit $294 billion this year – and to show a CAGR of 29.2% through 2032, reaching $1.77 trillion that year. We should note that North American AI companies, mainly in the US, are leading this industry, with a 2024 market share of nearly 33%.

With numbers like these, it’s no surprise that UBS analysts are combing through the sector to pinpoint the most promising AI stocks. Their latest deep dive zeroes in on two recent earnings reporters – Palantir (NASDAQ:PLTR) and Advanced Micro Devices (NASDAQ:AMD) – to see which is the superior AI stock to buy. Let’s take a closer look.

Palantir

The first AI stock we’ll look at here is one of the leaders in the field. Palantir is well-known for marrying AI technology and capabilities to the field of data analysis, a match that has matured into a solid product platform – AIP, or AI Platform – and a set of tools whose wide applicability has made them highly popular. Since its founding in 2003, Palantir has developed a reputation for innovation, and has built itself into a $441 billion giant of the AI industry.

Palantir’s AIP is purpose-built to combine AI tech with human intuition and flexibility, to gain the best from both – and to improve outcomes and results in data analysis. The products also use AI technology to improve the user interface, making it easy to use and simple to understand. The AI reads and responds in real text, based on natural language models; in practice, Palantir’s users don’t need to learn machine language or computer coding to communicate with the AI – they can simply enter their requests in clear text and receive responses the same way. The technology is also amenable to real-time translations, making Palantir’s products easy to market internationally – the system just needs to be told what language it is using, and its translation algorithms handle the rest.

The company’s products and capabilities have proven particularly popular in government use, especially in the Department of Defense. This is clear from the company’s frequent announcements of new projects; DoD contracts and partnerships are regularly featured. Two examples: in July, Palantir announced that it had entered into a joint program, Warp Speed for Warships, with BlueForge Alliance, to accelerate warship production, fleet readiness, and digital transformation for the US Navy. And in June, the company launched a strategic partnership with Accenture, for the deployment of commercial-grade, AI-powered solutions designed to meet the high-priority operational challenges across a wide range of Federal agencies.

In its last quarterly report, covering 2Q25, the company announced a series of strong gains in key metrics. The company’s customer count was up 43% year-over-year, providing a base that supported a 48% YoY jump in revenue, to $1.004 billion – marking Palantir’s first billion-dollar quarter and beating the forecast by $60.5 million. At the bottom line, Palantir realized non-GAAP earnings of 16 cents per share, 2 cents per share better than had been expected. The company’s quarterly adjusted free cash flow came to $569 million, which represented a margin of 57%. And the company finished the quarter with cash and liquid assets totaling $6 billion.

About the only thing that has grown faster than Palantir’s financial markers was the company’s share price. Year-to-date, shares in Palantir have far outpaced the broader markets. PLTR trades on the NASDAQ, which is up 11% so far this year, and it is a component of the S&P 500 index, which is up 9%; at the same time, for the year-to-date, PLTR has gained an impressive 147%. For the past three years, the stock’s gain is over 1,849%.

Covering Palantir for UBS, 5-star analyst Karl Keirstead notes the company’s strong performance, yet he finds it impossible to ignore its high valuation. He writes, “Palantir reported its 8th straight quarter of revs growth acceleration, a turnaround that we’ve never seen before, from 13% growth in 2Q23 to a 2Q25 growth rate of 48%, while at a $4 billion revs scale. Palantir raised the full year 2025 total growth guidance to 45% from 36%, without compromising on the non-GAAP margin target, which was inched up to 46%. Palantir is benefiting from a confluence of mega-trends in AI application development, investments at the data layer and the modernization of defense tech, but valuation at 136x CY26E FCF remains our key hurdle…”

That hurdle leads Keirstead to rate PLTR as Neutral (i.e., Hold). His price target on the stock is $165, implying a one-year downside of ~12%. (To watch Keirstead’s track record, click here)

The Street generally would seem to agree with the UBS view. PLTR has a Hold consensus rating, based on 19 recent analyst reviews that include 4 to Buy, 13 to Hold, and 2 to Sell. The shares are priced at $186.96 and have an average price target of $152.12, suggesting that the share price will fall by ~19% in the next 12 months. (See PLTR stock forecast)

Advanced Micro Devices

Next up on the AI stage is AMD, a fast-rising contender steadily climbing the semiconductor ranks with a solid growth streak. It may not yet belong to the trillion-dollar club alongside Nvidia, Broadcom, and TSMC, but with a market cap near $280 billion, AMD is far from a lightweight. Over the past four quarters, it has pulled in roughly $30 billion in revenue, powered by a diverse portfolio spanning PCs, gaming rigs, and the surging AI/data-center market. Here, AMD isn’t merely keeping pace – it’s going toe-to-toe with Nvidia in AI accelerators and challenging Intel in PC microprocessors.

That competitive edge has been sharpened in recent years as AMD shifted from its roots in PCs and gaming toward a bigger slice of the AI pie. The company now offers a broad lineup of AI solutions across CPUs, GPUs, and adaptive computing, with the flexibility to tailor products for specific customer needs – whether in data centers, at the edge, or in enterprise applications. This diversification isn’t just theoretical; it’s showing up in high-profile wins and an expanding product pipeline.

In June, AMD landed Nokia as a customer for its 5th generation EPYC processors, which will power the Nokia Cloud Platform – a deal that underscores the broad applicability of its technology. Just a month earlier, AMD unveiled new high-performance computing products, including the Radeon RX 9060 XT and Radeon AI PRO R9700 graphics cards, plus the Ryzen Threadripper 9000 Series processors, targeting growth in gaming, content creation, and AI workloads.

In 2Q25, AMD reported gains in both AI-related and gaming sales, with AI/data center sales climbing 14% YoY to $3.2 billion and gaming revenue surging 73% to $1.1 billion. Client revenue hit a record $2.5 billion, up 67% vs. the previous year, helping overall revenue climb 32% to $7.685 billion, thereby beating the estimates by $260 million. Non-GAAP EPS came in at 48 cents, in line with expectations, while cash on hand totaled $4.44 billion. For Q3, AMD anticipates revenue of ~$8.7 billion, with a possible variation of $300 million, compared to the $8.32 billion consensus estimate.

That performance has caught the eye of UBS’s Timothy Arcuri, an analyst who ranks in 6th spot amongst the thousands of Street stock experts, who sees reasons for both caution and optimism.

“AMD beat (on revenue) and guided above, but only to about where investor expectations were into the print. The bear would say that the beat was largely gaming-driven and while data center GPU is seeing a strong inflection in 2H, this was already baked into expectations and AMD did not raise the full year outlook for data center GPU despite all of the hyperscaler capex increases. In the very near-term, this may carry the day, but we think the path of travel for the business – and ultimately the stock – remains in a positive direction.”

Laying out a supporting case for buying in, the 5-star analyst goes on to say, “First, excluding China, AMD’s data center GPU business is growing at a rate roughly similar to NVDA in C2H:25… Second, the outlook for market share growth in both the server and desktop portion of the CPU business is very strong with INTC’s roadmap under duress – combined, these are ~35% of AMD’s revenue and accretive to margins. Third, we would like to see gross margin inflecting quicker, but the underlying trends are still up and to the right with AMD able to at least hold GM flat even in CQ3 where the mix is unfavorable.”

That conviction earned AMD a Buy rating from Arcuri, who set a $210 price target – pointing to a potential 21.5% gain over the next year. (To watch Arcuri’s track record, click here)

Overall, AMD boasts a Moderate Buy consensus rating from the Street, based on 37 analyst reviews that break down to 25 Buys and 12 Holds. The stock’s current trading price of $172.76 is slightly below the $180.78 average target price, implying a modest one-year upside of ~5%. (See AMD stock forecast)

To find good ideas for AI stocks trading at attractive valuations, visit TipRanks’ Best Stocks to Buy, a tool that unites all of TipRanks’ equity insights.

Disclaimer: The opinions expressed in this article are solely those of the featured analysts. The content is intended to be used for informational purposes only. It is very important to do your own analysis before making any investment.

Disclaimer & DisclosureReport an Issue



Source link

Tools & Platforms

‘AI shame’ is a real phenomenon in the workplace, claims report; what may be ‘scaring’ top execs in America

Published

on


A new survey from WalkMe, an SAP company, reveals a striking paradox in the modern workplace: The employees who use AI the most—top executives and Gen Z workers—are also the least likely to receive official guidance, training, or company approval for their use. The findings from the 2025 AI in the Workplace survey suggest that a phenomenon dubbed “AI shame” is taking hold. The annual survey polled 1,000 working U.S. adults who use AI in their jobs to understand the reality of AI adoption. Nearly half of all workers surveyed (48.8%) admitted to hiding their use of AI on the job to avoid judgment. This discomfort is particularly pronounced at the top, with 53.4% of C-suite leaders confessing they conceal their AI habits, despite being the most frequent users.x`Almost half (45%) of workers admit to pretending to know how to use an AI tool in a meeting to avoid scrutiny, while 49% have hidden their use of AI to avoid judgment. This trend is even more pronounced among Gen Z, with 55.5% pretending to understand AI tools and 62% hiding their use.

What makes Gen Z anxious about AI

Gen Z workers show both enthusiasm and anxiety regarding AI. A notable 62.6% of Gen Zers have used AI to complete work but then pretended it was their own, the highest rate among any generation. Over half (55.4%) have feigned understanding of AI in meetings.Despite this widespread use—89.2% of Gen Z employees use AI at work — they report receiving the least amount of support. Only 6.8% have received extensive, time-consuming AI training, and 13.5% received none at all. This lack of formal guidance has led 89.2% of them to use tools not provided or sanctioned by their employers.“Companies are not educating enough about this whole thing,” said Sharon Bernstein, WalkMe’s Chief Human Resources Officer, in an interview with Fortune. She noted that companies are failing to facilitate the use of AI tools or guide their employees effectively.

AI ‘Class Divide’ and Productivity Dilemma

The survey also points to an “AI class divide,” where access to training and guidance increases with rank. Only 3.7% of entry-level employees receive substantial training, compared to 17.1% of C-level executives. This leaves the most frequent users, junior and younger staff, to navigate the new technology on their own, risking a growing knowledge gap.While 80% of employees believe AI has boosted their productivity, a significant number are struggling. Almost 60% confessed to spending more time trying to manage AI tools than it would have taken to do the work themselves.Gen Z is particularly affected by this paradox:* 65.3% say AI slows them down, the highest among all age groups.* 68% feel pressure to produce more work because of it.* Nearly one in three are deeply anxious about AI’s impact on their jobs.This disconnect between corporate hype and on-the-ground reality fits into a broader picture of chaotic AI implementation. For instance, a recent MIT study found a staggering 95% failure rate for generative AI pilot programs at large enterprises, suggesting a significant gap between the theory of AI and its practical application.





Source link

Continue Reading

Tools & Platforms

AI stethoscope could detect heart conditions in seconds

Published

on


Stethoscopes powered by artificial intelligence (AI) could help detect three different heart conditions in seconds, researchers say.

The original stethoscope, invented in 1816, allows doctors to listen to the internal sounds of a patient’s body.

But now a British team have designed one that can spot heart failure, heart valve disease and abnormal heart rhythms almost instantly.

The breakthrough AI-powered tool could be a “real game-changer” resulting in patients being treated sooner, the researchers say, with plans to roll the device out across the country.

The new device replaces the traditional chest piece with a device around the size of a playing card. It uses a microphone to analyse subtle differences in heartbeat and blood flow that the human ear cannot detect.

The study by Imperial College London and Imperial College Healthcare NHS Trust involved more than 200 GP surgeries in London.

More than 12,000 patients from 96 surgeries were examined with the AI stethoscope and were then compared to patients from 109 GP surgeries where the technology was not used.

Those examined with the device were 2.33 times more likely to be diagnosed with heart failure in the next 12 months, researchers said.

Abnormal heartbeat patterns, which have no symptoms but can increase stroke risk, were 3.5 times more detectable with the AI stethoscopes, while heart valve disease was 1.9 times more detectable.

Dr Sonya Babu-Narayan, clinical director at the British Heart Foundation (BHF) and consultant cardiologist, said: “This is an elegant example of how the humble stethoscope, invented more than 200 years ago, can be upgraded for the 21st century”.

Such innovations are vital “because so often this condition is only diagnosed at an advanced stage when patients attend hospital as an emergency”, she said.

“Given an earlier diagnosis, people can access the treatment they need to help them live well for longer.”

The findings have been presented to thousands of doctors at the European Society of Cardiology annual congress in Madrid, the world’s largest heart conference.

There are plans to roll out the new stethoscopes to GP practices in Wales, south London and Sussex.



Source link

Continue Reading

Tools & Platforms

Taco Bell is having second thoughts about relying on AI at the drive-through 

Published

on


Taco Bell’s chief digital officer says the company is having an “active conversation” about when to use and not to use AI.

The company has apparently rolled out voice AI-powered ordering at more than 500 drive-throughs, leading to unflattering viral moments like someone ordering 18,000 water cups in order to “bypass” the AI and get connected to a human server.

Chief Digital and Technology Officer Dane Matthews told The Wall Street Journal that even he has mixed experiences with technology: “Sometimes it lets me down, but sometimes it really surprises me.”

Overall, it sounds like Taco Bell is still deciding how broadly to deploy AI at the drive-through, with leeway for different franchisees to do things their own way. For example, rather than relying on AI exclusively, Matthews said it might make sense to have a human handle drive-through orders at busy restaurants with long lines.

“For our teams, we’ll help coach them: at your restaurant, at these times, we recommend you use voice AI or recommend that you actually really monitor voice AI and jump in as necessary,” he said.



Source link

Continue Reading

Trending