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A Platform Leader’s Path to Sustained Dominance

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This article first appeared on GuruFocus.

Salesforce (NYSE: CRM) offers a compelling long-term opportunity due to its leadership in the customer relationship management (NYSE:CRM) market, expanding AI integration, and growing addressable market. because of its continuous leading position in the customer relationship management (NYSE:CRM) market, the fast-growing adoption of artificial intelligence, and rapidly increasing the total addressable market. The business model that the company provides allows subscriptions and grants profits that are predictable, moreover, the platform-based approach increases the switching costs and provides opportunities to expand within the existing client bases. Thus, theThe business model enables high visibility into recurring revenue and long-term client retention.

Standing at the forefront of the global CRM market, Salesforce has captured nearly a quarter (23%) of the market share, leaving behind formidable adversaries like Microsoft, Oracle, and SAP. The position of being number one provides Salesforce with a multilayer competitive fortifications; thus, it builds a strong economic moat.

Network Effects and Ecosystem Dominance: There are over 4,000 applications on the AppExchange belonging to the Salesforce ecosystem, reinforcing its self-expanding cycle where developers attract customers, and vice versa. This network effect, which grows stronger with the addition of new applications thus the ecosystem expands, creates a barrier to entry that competitors find it almost impossible to duplicate. Independent software vendors (ISVs) devote a large amount of time and energy in creating applications that work with Salesforce, which in turn, makes the customers think that if they switch to another platform they would be missing out on the benefits of the whole partner network.

Data Network Effects: The greater the number of customers availing of Salesforce services, the larger is the amount of the data which is being accumulated by the platform on customer interactions across different sectors and applications. This data facilitates the enhancement of AI models, predictive analytics, and benchmarking capabilities; thus, the platform continues to generate value that compounds over the years and is not easily reproduced by new entrants.

Salesforce’s artificial intelligence strategy is a key component not just because it adds features, Salealos because sforce’s artificial intelligence strategy enhances its platform differentiation and supports operational leverage.. The company introduces the next generation of AI technology and improves the algorithmic base inspiring the organizations to work different with the which they produce and hold about their own customer data.

Einstein Platform Foundation: By means of the Salesforce Einstein accouting, the platform processes 200 billion predictions a day, thus, it is leveraging the collective data of hundreds of thousands of customers for the purpose of the constant improvement of AI models. This magnitude of data processing and machine learning approach creates predictive features that do not have any equivalent among smaller competitors who do not have a similar scale of data or equal access to it.

Salesforce Empowers Generative AI Integration: By launching Einstein GPT and merging it with large language models Salesforce enters a new arena of generative AI market and value retrieval. Unlike isolated AI appliances, Salesforce’s AI is integrated with the knowledge of customer data, ongoing work processes, and the history of past interactions which makes it more precise and applicable for straight-tied AI-generated analytical views and suggestions.

Industry-Specific AI Models: In order to increase the vertical-specific AI functionality, Salesforce is working on certain technologies for the fields of healthcare, financial services, and retail. These individual models not only take into account the industry standard rules and jargon but also best practices, thereby creating additional switching costs and competitive differentiations that generic AI platforms cannot compete with easily.

Recurring Revenue Model: Salesforce’s subscription-based model provides an excellent forecast of the company’s financial outcome and adds up to the long-term investors’ value in a compounding way. The company with more than 90% of the revenue recurrence and contracts being mainly over one year gives the insiders a rare opportunity to see the metric trends moving forward. The remaining performance obligation (RPO) backlog of the company which is over $25 billion is the contracted future income and it brings both risk mitigating and growth visibility effects.

Salesforce evolved from single-app CRM to a multi-solutions customer management platform that now has several advantages in running the business and growing.

Multi-Cloud Synergies: The connected system of Sales Cloud, Service Cloud, Marketing Cloud, Commerce Cloud, and Analytics Cloud is a source of valuable cross-selling potentials and a customer switching cost increase. Enterprises using multiple clouds of Salesforce enjoy unified customer data, a consistent user experience, and an integrated workflow that becomes hard to build in the same way if the applications were used across different vendors.

Industry Verticalization: Salesforce has produced vertical-specific solutions for healthcare, financial services, retail, manufacturing, and other segments. These industry clouds merge the core platform with the prebuilt processes, compliance features, and the specific data models of the industry. This verticalization strategy will sidestep a generic CRM program by offering more suitable tools, which leads to further competitive moats.

Salesforce’s major acquisitions: MuleSoft (2018), Tableau (2019), and Slack (2021), have all been integrated into its broader platform strategy, not as standalone tools but as functional extensions of the core CRM architecture. MuleSoft’s API capabilities enable connectivity across enterprise systems, making Salesforce more interoperable within legacy environments. Tableau enhances data visibility across Salesforce products, giving users embedded analytics tailored to operational workflows. Slack has become central to Salesforce’s vision of asynchronous collaboration, now embedded directly into Sales and Service Cloud interfaces.

Each acquisition has followed a clear integration path: building native connectors, embedding dashboards or features directly into Salesforce interfaces, and enabling data-sharing across clouds. This approach has allowed Salesforce to expand the surface area of customer engagement without disrupting platform cohesion.

EBITDA Productivity Trends

Between FY2022 and FY2024, Salesforce significantly enhanced its operational efficiency. According to its 10-K filings, EBITDA per employee grew from approximately $63,000 in FY2022 to over $145,000 by FY2024 , more than doubling in just two years.

This improvement was driven by a two-fold strategy:

First, Salesforce undertook a substantial restructuring in 2023, reducing its global workforce by about 10%, or over 7,000 employees.

Second, the company implemented tighter cost controls, improved operating discipline, and began integrating AI-driven productivity tools internally, helping expand operating margins from ~3% in FY2022 to ~17% in FY2024.

The net result was a leaner, more focused organization generating more value per employee a trend that aligns with broader tech-sector shifts toward profitability over pure growth.

Salesforce: A Platform Leader’s Path to Sustained Dominance

Salesforce’s Change of Operations Dramatically

Salesforce’s expansion from about $60K EBITDA per employee in 2022 to $149K in 2025 was a huge leap with a 150% increase in operational efficiency. The report suggests that the company has undergone a fundamental restructuring of its cost base and has gained important operating leverage, likely through the use of AI for automation, process optimization, and adopting more disciplined hiring practices after the 2022 tech downturn.

Salesforce’s trajectory of improvement implies that the management’s insistence on profitability is yielding positive results, which lends credence to the investment thesis. On the other hand, Oracle’s consistent efficiency combined with the lower valuation multiple entails a strong value proposition. SAP’s lambing statistics underscore the execution risks involved in large-scale business model transitions which render it the riskiest despite its market position.

AI Integration and Competitive Positioning

Salesforce is experiencing other execution risks in its AI strategy that could generally change its competitive position and attractiveness to investors.

Technical Integration Complexity

Efficiently integrating AI across Salesforce’s really wide platform ecosystem takes the complete integration with existing workflows, data models, and user interfaces to be totally free of any bugs. An imperfect implementation of AI could site planning disruption since customers would need to operationally integrate core CRM components which they cannot omit, and this could further lead to system instability or user resistance. The shortfall of technical supports lies in maintaining platform reliability while allowing multiple clouds to introduce advanced AI capabilities is a difficult execution task.

Competitive Vulnerability

Microsoft’s superb AI know-how via the OpenAI partnership and the Azure infrastructure presents a strong competitive menace to Salesforce’s AI hopes. When Salesforce’s AI capabilities are slower than Microsoft’s Copilot integration, or else when they do not introduce any substantial improvement in productivity, enterprise clients may change to the Microsoft ecosystem for cohesive AI-revealed productivity implements. This risk is further increased due to the fact that Microsoft has already established Office 365 customer relationships and its holistic approach to the market.

ATOMVEST has a comparatively huge 48.91% portfolio concentration in a likely single position of $23.4 million. This is a very acute concentration risk that contradicts essential portfolio management guidelines. The concentration has actually increased from 40.55% to 48.91% of the portfolio, which implies either poor rebalancing discipline or severe underperformance in other investments.

VALUEACT on the other hand, follows far better diversification strategies with a 16.98% allocation, down from 22.08% but poses different issues regarding position management. The primary sizeable holding of 2.9 million shares worth $778 million denotes deep belief and their 0.30% ownership stake would make them the notable influence as an activist investor. Nevertheless, the company hasn’t made any position changes while the stock has seemingly gone down considerably in value. The change from 22.08% to 16.98% seems to be the result of price drop rather than active selling. This is odd for an activist investor who would be expected to influence outcomes.

Salesforce is a high-quality growth stock suitable for both investors who are into technology and energy and those who seek to gain from digital transformation. The firm’s dominance in the market, its stable recurring income, and the AI-based innovative developments all act to create a strong foundation for value creation in the long term. The call for investment stays valid for people who believe in the ongoing digitization of commercial processes and Salesforce’s capability to run its multi-cloud platform with efficiency thus keeping its leadership role in the evolving CRM space.



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Artificial intelligence can predict risk of heart attack – mydailyrecord.com

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Artificial intelligence can predict risk of heart attack  mydailyrecord.com



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China’s Open-Source Models Are Testing US AI Dominance

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While the AI boom seemingly began in Silicon Valley with OpenAI’s ChatGPT three years ago, 2025 has been proof that China is highly competitive in the artificial intelligence field — if not the frontrunner. The Eastern superpower is building its own open-source AI programs that have demonstrated high performance as they put ubiquity and effectiveness over profitability (while still managing to make quite a bit of money), the Wall Street Journal reports.

DeepSeek is probably the most well-known Chinese AI entity in the U.S., whose R1 reasoning model became popular at the start of the year. Being open-source, as opposed to proprietary, means these programs are free and their source code can be downloaded, used and tinkered with by anyone. Qwen, Moonshot, Z.ai and MiniMax are other such programs.

This is in contrast to U.S. offerings like ChatGPT, which, though free to use (up to a certain level of compute), are not made available to be modified or extracted by users. (OpenAI did debut its first open-source model, GPT-OSS, last month.)

American companies like OpenAI are racing to catch up — monopolies and industry-standard technologies are often the ones that are the most accessible and customizable. The Trump administration wagered that open-source models “could become global standards in some areas of business and in academic research” in July.

Want to join the conversation on how the security of information and data is impacting our global power struggle with China? Attend the 2025 Intel Summit on Oct. 2, from Potomac Officers Club. This GovCon-focused event will include a must-attend panel discussion called “Guarding Innovation: Safeguarding Research and IP in the Era of Strategic Competition With China.” Register today!

China has already declared an economic war on the West using espionage at the forefront of its campaign. —David Shedd

China’s Tech Progress Has Big Implications

The Intel Summit panel will feature, among other distinguished guests, David Shedd, a highly experienced intel community official who was acting director of the Defense Intelligence Agency (after serving as its deputy director for four years) and deputy director of national intelligence for policy, plans and procedures.

Shedd spoke to GovCon Wire in an exclusive interview about China-U.S. competition ahead of his appearance on the panel. He said that China’s progress in areas like AI should not be taken lightly and could portend greater problems and tension in the future.

“Sensitive IP or technological breakthroughs in things like AI, stealth fighter jets, or chemical formulas lost to an adversary do not happen in a vacuum. They lead, instead, to the very direct and very serious loss of the relative capabilities that define and underpin the balance and symbiosis of relationships within the international system,” Shedd commented.

Open-source models are attractive to organizations, WSJ said, because they can customize the programs and use them internally and protect sensitive data. In their Intel Summit panel session, Shedd and his counterparts will explore how the U.S. might embrace open-source more firmly as a way to stay agile in the realm of research and IP protection.

Who Is Stronger, America or China?

“The Great Heist,” coming Dec. 2025

Shedd, along with co-author Andrew Badger, is publishing a book on December 2 entitled “The Great Heist: China’s Epic Campaign to Steal America’s Secrets.” Published through HarperCollins, the volume will focus on the campaign of intellectual property theft the Chinese government is waging against the U.S.

Shedd elaborated for us:

“The PRC/CCP’s unrelenting pursuit of stolen information from the West and the U.S. in particular has propelled China’s economic and military might to heights previously unimaginable. Yet we collectively continue to underestimate the scale of this threat. It’s time for the world to fully comprehend the depth and breadth of China’s predatory behavior.

Our national security depends on how we respond—and whether we finally wake up to the reality that China has already declared an economic war on the West using espionage at the forefront of its campaign. It already has a decades-long head start.”

Don’t miss former DIA Acting Director David Shedd, as well as current IC leaders like Deputy Director of National Intelligence Aaron Lukas and CIA’s AI office Deputy Director Israel Soong at the 2025 Intel Summit on Oct. 2! Save your spot before it’s too late.

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Move Over Palantir. This Artificial Intelligence (AI) Stock Just Took Over as the S&P 500’s Best Performer in 2025.

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This AI-driven megatrend has sent this stock and its closest competitor rocketing higher in 2025.

Many artificial intelligence (AI) stocks have zoomed higher over the last three years, following the introduction of OpenAI’s ChatGPT. One of the biggest winners, by far, has been Palantir Technologies (PLTR 2.70%). The enterprise software company integrated generative AI into its software in 2023, and it’s seen sales and profits soar ever since. The stock is up a cumulative 2,500% since the start of 2023, including a 120.7% rise in 2025 alone, as of this writing.

Up until last week, that was good enough to make it the best performer in the S&P 500 at the moment. But another stock overtook the market darling’s year-to-date performance at the start of September, boosted by the voracious demand for artificial intelligence. Say hello to the new best-performing stock in the S&P 500.

Image source: Getty Images.

Essential infrastructure for AI data centers

Big tech companies are spending hundreds of billions of dollars on building out data centers and outfitting them with servers. Chipmakers like Nvidia have benefited greatly as demand for graphics processing units (GPUs) and custom AI accelerators continues to climb. But there’s another important component to building out data centers: Storage.

AI training is extremely data-intensive. While some of that data needs to be readily accessible quickly, a lot of it can be held in what’s called “nearline” storage. Nearline storage might take a few seconds to access, but it’s a cheap and effective way to maintain the huge amounts of data needed for large language models.

Hard drive maker Seagate Technology (STX 0.76%) has seen demand for nearline storage explode, helping push its stock to a 121.4% gain so far this year, as of this writing. That’s better than every other stock in the S&P 500, including Palantir.

The company shipped 137 exabytes of capacity to data center customers last quarter, up 14% sequentially and 52% year over year. The financial results are just as impressive. Revenue grew 39% in fiscal 2025. Gross profit margin expanded to 35.2% from 23.4% last year. Fourth-quarter gross margin was even more impressive at 37.4%, as the market remains supply-constrained.

Seagate is one of two major suppliers of hard drives. Western Digital (WDC 0.51%) remains its biggest rival, maintaining a nearly equal share of the market. Unsurprisingly, Western Digital is also a top-performing stock this year, as it benefits from the exact same mega trend as Seagate. While both have made strides in increasing storage capacity per unit, there’s still a limit to how much each can produce. Thus, they’ve both seen strong gross margin expansion.

Tech companies are planning to keep spending on new data centers and the necessary increased storage capacity that comes along with them. Seagate’s management expects data center storage demand to climb from $13 billion in 2024 to $23 billion by 2028. Western Digital shared a similar outlook at its investor day in February. As a result, the current cycle of growth could extend for years to come.

Is it worth the price?

Hard drives are kind of a commodity for data centers. A buyer could use any supplier, and the hard drives will fit into the same exact spot in their data center as any other hard drive would. The only major difference is how much storage capacity each drive has, which makes price per terabyte (TB) the biggest deciding factor for a buyer.

As a result, competition between Seagate and Western Digital has typically kept pricing low and pushed new technology forward relatively quickly. Margin expansion only really happens when there’s a huge demand cycle like we’re currently seeing. When the cycle ends, and it will, both companies will see deterioration in their margins until the next uptick in demand.

Seagate seems to have developed a slight technology lead. Its heat-assisted magnetic recording (HAMR) process is on track to be able to scale production of 40TB hard drives by the second half of fiscal 2026 (early calendar 2026). Western Digital isn’t on track to start mass production of 40TB hard drives — it’s about six months behind. That could open the door for Seagate to take some market share over the next few years and grow slightly faster than its chief rival.

At a forward price-to-earnings (P/E) ratio of 18.5, investors may think Seagate is an absolute bargain compared to most AI stocks. When you compare it with Palantir’s eye-popping 245 times earnings multiple, it seems extremely cheap. But it’s important to put that in context.

While Seagate is growing earnings extremely quickly right now, it’s still in a cyclical industry. Cyclical stocks tend to trade at much more attractive earnings multiples amid upcycles in demand. That’s because they could see a massive drop in earnings power if demand dries up, or even if supply growth starts to outpace demand.

For a point of reference, Western Digital trades for a forward P/E ratio close to 14. While Seagate may deserve a slight premium to Western Digital, both are trading at a premium to their historic pricing over the past year after their recent run to put them at the top of the S&P 500’s best-performers list. At this point, it might be worth waiting for a better price on both stocks before buying into the latest big winner from artificial intelligence spending.

Adam Levy has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Nvidia and Palantir Technologies. The Motley Fool has a disclosure policy.



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