Connect with us

AI Insights

IPG bets on agentic AI to streamline e-commerce optimization

Published

on


Dive Brief:

  • Interpublic Group (IPG) has launched a new artificial intelligence-powered unit designed to help brands manage and understand how their products are faring in the increasingly complex commerce ecosystem, per a news release.
  • The new Agentic Systems for Commerce (ASC) uses data to generate insights about products, competitors and consumer behavior, including product searches, digital shelf position, pricing and inventory. ACS is being piloted by more than 20 brands, with results that have shown double-digit sales improvement, according to IPG.
  • IPG, which is currently set to be acquired by Omnicom in the second half of this year, reported revenue declines of 6.6% and 7.6% during its second-quarter and first-half results, respectively.

Dive Insight:

Agentic AI has been getting a lot of attention across industries for its potential to understand and contextualize the information coming out of generative AI chat bots. IPG’s launch of Agentic Systems for Commerce (ASC) demonstrates the holding company’s commitment to leveraging automation and AI to develop solutions for its clients and new business opportunities.

The new unit marks a “foundational shift for sales and marketing teams to move from standalone tools to intelligent systems,” enabling brands to be less reactive with more unified strategy and performance across the entire e-commerce system, IPG noted in press details.

At a time when the ad holding group’s revenue is declining, such agentic AI-powered tools could be a value-add amid IPG’s revenue struggles. 

“We believe products like ASC can become a new revenue stream for us. And it’s another way in which we can use AI to scale our expertise and expand our business beyond our core capability set of marketing communications and media into solutions sets that deliver quantifiable results,” said IPG CEO Philippe Krakowsky in a release.

Krakowsky also recently indicated that AI is an area where there are potential synergies to be realized should the proposed merger with Omnicom go through later this year as scheduled. 

“As we expected, we’re finding that our respective capabilities in areas such as platforms, data, commerce and AI development are highly complementary,” Krakowsky said during the company’s recent earnings call. “And this gives us a high degree of confidence that the combined assets will be extremely powerful and differentiated in the marketplace. As [Omnicom CEO John Wren] and I have also noted previously, the capacity that the new Omnicom will have to continue to invest and build out on its leadership position in the tech and AI space will be considerable and will further differentiate these offerings over time.”

ASC will be led by Dr. Jeriad Zoghby, IPG’s chief commerce strategy officer, who joined the company from Accenture in 2023. The initiative was backed by IPG’s Global Head of AI commerce Yaniv Sarig, who was part of the company’s acquisition of Intelligence Node for a reported $100 million last December. ASC uses data from Intelligence Node to generate insights across digital commerce channels.



Source link

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

AI Insights

2 Popular AI Stocks to Sell Before They Fall 46% and 73%, According to Wall Street Analysts

Published

on


Popular artificial intelligence (AI) stocks Palantir and Arm may be headed for colossal losses.

Shares of Palantir Technologies (PLTR 4.14%) have returned 2,570% since the artificial intelligence (AI) boom began in earnest in January 2023. Arm Holdings (ARM -2.62%) did not go public until September 2023, but shares have since advanced 195%. Those gains have left both stocks trading at rich valuations, so much so that certain Wall Street analysts recommend selling.

  • Rishi Jaluria at RBC Capital has set a target price of $45 per share for Palantir. That implies 73% downside from its current share price of $171.
  • Javier Correonero at Morningstar has set a target price of $80 per share for Arm. That implies 46% downside from its current share price of $150.

Here’s what investors should know about these popular AI stocks.

Image source: Getty Images.

Palantir Technologies: 73% implied downside

Palantir introduced its Artificial Intelligence Platform (AIP) in April 2023. It serves as a large language model organization tool that complements its core data analytics platforms by letting developers integrate generative AI into applications and workflows. The product has been an unmitigated success, such that sales growth has accelerated in eight consecutive quarters.

Palantir’s advantage lies in its unique ontology-based software architecture. In this context, an ontology is a framework that integrates an organization’s data, assets, and actions into a digital twin that supports decision-making. It also captures the outcome of every decision and feeds the information back into the models, which creates a feedback loop that leads to better insights over time.

International Data Corp. ranked Palantir as the market leader in decision intelligence platforms last year. That bodes well for the company. Grand View Research estimates that data analytics software sales will increase at 29% annually through 2030. “The main factors propelling the data analytics industry expansion are the growing adoption of machine learning and artificial intelligence,” according to the report.

However, Palantir is one of the most richly valued software stocks in history. It currently trades at 126 times sales, which makes it the most expensive stock in the S&P 500 by a long shot. The second-most expensive stock is Texas Pacific Land at 29 times sales. That means Palantir would still be the most expensive stock in the index even if it lost 75% of its value.

In that context, it is entirely plausible that Palantir will suffer a major meltdown at some point in the future. Prospective investors should avoid the stock or, at the very least, keep any positions very small. Current shareholders with a substantial percentage of their portfolios invested in Palantir should consider trimming their positions.

Arm Holdings: 46% implied downside

Arm has long dominated the market for mobile device processors due to its power-efficient architecture. Its central processing units (CPUs) are found in 99% of smartphones. But that quality, coupled with the flexibility of its licensing model — Arm does not make chips, but rather licenses blueprints to customers who develop custom chips — has also helped it gain market share in data centers.

Major technology companies, such as Alphabet, Amazon, Apple, and Microsoft, have designed Arm-based server processors. And Nvidia‘s Grace Blackwell Superchip pairs two Blackwell GPUs with an Arm-based Grace CPU. In total, Arm has added about 10 percentage points of market share in data centers in the last two years, while Intel has lost about 16 points. AMD has also gained share, which accounts for the difference.

That trend is likely to continue as companies look to curb operating costs associated with AI infrastructure by deploying more power-efficient server processors. CEO Rene Hass recently said AI is “driving unprecedented demand for compute that’s not only performant, but also energy efficient. And Arm is the only compute platform built to deliver.”

However, Arm currently trades at 94 times adjusted earnings. That is particularly expensive for a company whose earnings are forecasted to increase at 23% annually through fiscal 2027. Those figures give Arm a price/earnings-to-growth (PEG) ratio above 4, which is traditionally seen as overvalued. Moreover, Arm trades at 39 times sales, which makes it the third-most expensive stock in the Nasdaq-100, behind Palantir and Strategy.

I doubt Arm shares will decline 46% unless the broader market drops sharply, but the stock is very expensive. Investors should wait for a better entry point before putting money into this semiconductor company. Personally, I would feel more comfortable buying at $120 per share, though the valuation would still be stretched even at that price.

Trevor Jennewine has positions in Amazon, Nvidia, and Palantir Technologies. The Motley Fool has positions in and recommends Advanced Micro Devices, Alphabet, Amazon, Apple, Intel, Microsoft, Nvidia, and Palantir Technologies. The Motley Fool recommends the following options: long January 2026 $395 calls on Microsoft, short January 2026 $405 calls on Microsoft, and short November 2025 $21 puts on Intel. The Motley Fool has a disclosure policy.



Source link

Continue Reading

AI Insights

2 Artificial Intelligence (AI) Stocks to Buy Before They Soar to $5 Trillion, According to a Wall Street Expert

Published

on


Philippe Laffont, one of Wall Street’s most successful hedge fund managers, expects Microsoft and Nvidia to be the most valuable companies in the world by 2030.

Billionaire Philippe Laffont runs Coatue Management, a successful hedge fund that nearly tripled the returns in the S&P 500 over the last three years. Coatue curates the Fantastic 40 Growth & Innovation Index, which distills the 150 largest technology companies into a list of 40 stocks best positioned to lead the market in the years ahead.

Microsoft (MSFT 1.82%) and Nvidia (NVDA 0.43%) currently top that list. Coatue expects them to be the largest companies in the world by 2030, with market values approaching $6 trillion, as detailed below:

  • Coatue estimates Microsoft will be worth $5.7 trillion in 2030. That implies 54% upside from its current market value of $3.7 trillion.
  • Coatue estimates Nvidia will be worth $5.6 trillion in 2030. That implies 30% upside from its current market value of $4.3 trillion.

Importantly, Laffont has put his money where his mouth is. Microsoft and Nvidia are two of the largest positions in his $36 billion portfolio, accounting for over 10% of his invested assets. Here’s what investors should know about these artificial intelligence stocks.

Image source: Getty Images.

1. Microsoft

Microsoft is the largest enterprise software company and the second-largest public cloud provider, and it’s using its strength in those markets to profit from artificial intelligence (AI). Its family of Copilot applications, which automate work across software such as Microsoft 365 and Dynamics 365, surpassed 100 million monthly active users in the most recent quarter.

CEO Satya Nadella says customers are adopting Microsoft 365 Copilot faster than any other product in the business productivity suite. And traction with Copilot is driving the adoption of Copilot Studio, which lets users build AI agents using company-specific data by simply describing the desired functionality in natural language.

In cloud computing, Microsoft recently introduced Azure AI Foundry, a suite of pretrained models and tools that let customers develop, customize, and manage AI applications. “All up, 80% of Fortune 500 companies already use Foundry,” according to Satya Nadella. “We continue to lead the AI infrastructure wave and took share every quarter this year.”

Microsoft reported encouraging fourth-quarter financial results in fiscal 2025, which ended in June. Revenue increased 18% to $76 billion, driven by particularly strong growth in cloud services, where revenue accelerated for the second straight quarter. Commercial bookings growth also accelerated to 37%, hinting at strong future sales growth. And GAAP (generally accepted accounting principles) earnings rose 24% to $3.65 per diluted share.

Wall Street expects Microsoft’s earnings to increase at 12% annually during the next three years. That makes the current valuation of 37 times earnings look expensive, but analysts may be underestimating it. Enterprise software and cloud services spending through 2030 are likely to grow at 12% annually and 20% annually, respectively, according to Grand View Research.

That gives Microsoft a good shot at annual earnings growth in the mid-teens, which makes the stock look a little more attractive and could carry the company to a $5 trillion market value by 2030. Nevertheless, it makes sense to start with a very small position due to the elevated valuation. You can always buy more shares if the stock pulls back.

2. Nvidia

Nvidia dominates the market for data center graphics processing units (GPUs), chips that function as accelerators for demanding workloads such as AI training and inference. The company currently holds more than 80% market share in AI accelerators, and Morgan Stanley analysts think Nvidia will maintain that same level of dominance for years to come, despite intense competition.

Several large customers — Microsoft, Amazon, and Alphabet — have developed custom AI accelerators, called application-specific integrated circuits (ASICs), but they are unlikely to dethrone Nvidia GPUs because they lack ready-made software development tools. In other words, custom chips need custom software tools, and designing those products requires a great deal of technical expertise that most companies lack.

Nvidia introduced its CUDA software platform nearly two decades ago, and it has become an unparalleled ecosystem of code libraries, pretrained models, and frameworks that help developers build applications across use cases such as content generation, computer vision, predictive analytics, and autonomous machines. I/O Fund analyst Beth Kindig says CUDA affords Nvidia an “impenetrable moat.”

Wall Street expects Nvidia’s earnings to increase at 36% annually over the next three years, a sensible estimate, given that AI accelerator sales are forecasted to increase at 36% annually through 2030. That makes Nvidia’s current valuation of 51 times earnings look reasonable. I have no doubt that Nvidia is on its way to a $5 trillion valuation, and I expect the company to hit that milestone well before 2030.

Trevor Jennewine has positions in Amazon and Nvidia. The Motley Fool has positions in and recommends Alphabet, Amazon, Microsoft, and Nvidia. The Motley Fool recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy.



Source link

Continue Reading

AI Insights

The battle for artificial intelligence (AI) talents triggered in Silicon Valley is spreading to Chin..

Published

on


Tsinghua University and Princeton University, Yao Ranked OpenAI Leave and Join Tencent

Tencent Logo

The battle for artificial intelligence (AI) talents triggered in Silicon Valley is spreading to China.

Bloomberg News reported on the 13th (local time) that Tencent recruited Yao Sun-ji, a researcher from OpenAI. Tencent reportedly joined Yao to take on the task of integrating AI throughout its services and offered a compensation package worth up to 100 million yuan (about 20 billion won).

Yao graduated from Tsinghua University in China and obtained a Ph.D. in computer science from Princeton University in the United States. Since then, he has worked as a Google intern and continued his research activities at OpenAI since June last year. He has recently led research on ‘language-based agents’, one of the most high-profile topics in the field of AI.

In particular, Yao has been recognized in the industry as much as Mark Zuckerberg, CEO of Meta, pushed for recruitment while setting up a team dedicated to super-intelligence.

The battle for AI talent is spreading beyond just competition at the corporate level to the national strategic level. China is actively encouraging overseas researchers to return as well as developing its own chips as the U.S. regulations on the export of Nvidia AI chips have disrupted its development. According to Nature, the Chinese government and large companies such as Baidu and Tencent have recently set out unconventional conditions for returning workers, such as supporting family migration, providing housing, and sponsoring research funds. [Silicon Valley correspondent Wonho-seop]



Source link

Continue Reading

Trending