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Dear Fellow Investor,
One of the Most Undervalued AI Stocks to Buy Today
The artificial intelligence boom is still in its early innings, and the spending behind it continues to accelerate at a rate few expected. For investors, that means the opportunity remains enormous, especially in lesser-known AI names that are only now starting to gain Wall Street’s attention.
Consider what the world’s largest tech companies are doing. Microsoft just reported $34.9 billion in capex in its most recent quarter. For fiscal year 2025, the company expects to invest $80 billion to $88 billion, the vast majority of which will go toward expanding AI data centers, upgrading cloud infrastructure, and building out advanced computing clusters.
Meta isn’t far behind. The company raised its 2025 capital expenditure forecast to $70 billion to $72 billion as it continues to scale the hardware needed to power its LLaMA models, expand its data-center cluster footprint, and deepen its AI training capabilities.
Put it all together and tech giants, including Microsoft, Meta, Amazon, Alphabet, and others, are expected to spend more than $300 billion this year alone on AI infrastructure. That represents one of the largest synchronized investment cycles in the history of the technology sector.
Most investors will immediately gravitate toward the usual suspects: Nvidia, AMD, Palantir, and the broader semiconductor ecosystem. But the most interesting opportunities often appear outside the spotlight, especially when the entire industry is experiencing a rising-tide market cycle.
And that’s where SoundHound AI (SYM: SOUN) comes in.
Company: SoundHound AI (SYM: SOUN)
Shares of SOUN Are Up 2,074% in Two Years But May Still Be Undervalued
While SoundHound may not be a household name like Nvidia or Microsoft, its performance has been nothing short of extraordinary. Over the last two years, SOUN surged from about $1.02 to a high of $22.17, delivering shareholders a remarkable 2,074% return.
And despite that massive run, the stock may still be undervalued relative to its long-term potential.
Now trading around $12.56, the company has a market cap of roughly $5.28 billion, small compared to the AI mega caps, but large enough to signal the market is starting to take notice. More importantly, SoundHound is growing at an impressive rate.
In its most recent quarter:
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EPS came in at a three-cent loss, beating expectations by two cents.
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Revenue hit $42.7 million, up 217.2% year over year, beating estimates by nearly $10 million.
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The company raised its 2025 revenue outlook to between $160 million and $178 million, signaling strong visibility into upcoming demand.
Analysts are beginning to respond. Recently, Oppenheimer initiated coverage on SoundHound with a perform rating, highlighting the company’s potential to become a “durable growth compounder” as voice AI adoption increases across industries.
Even Seeking Alpha noted that SoundHound’s technology stands out in the market, calling it a leader in speech-to-meaning capabilities, unstructured analytics, and advanced conversational AI.
While SOUN’s market cap skyrocketed, earnings strength, customer momentum, industry-tailwinds, and a massive AI spending cycle still give it room to run.
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The company’s strong technical team, strategic partnerships, and robust financing position it to execute on its polymetallic growth strategy. PNPNF has attracted support from mining industry legends Robert Friedland, Rob McEwen, and Gina Rinehart, underscoring confidence in both the team and the Nisk Project.
See how PNPNF is a leading North American mining story poised to deliver both strategic and financial upside.
Why SoundHound AI Is Different
Many companies claim to operate in the AI space. Few have carved out a defensible niche with real customers, real deployments, and demonstrable revenue growth.
SoundHound’s specialty, voice AI and audio analytics, is becoming essential across sectors that rely on fast, automated customer interactions. Instead of generic chatbots or basic voice recognition, SoundHound’s technology is designed to interpret intent, respond quickly, and handle complex, real-world conversations.
That’s why the company has become a go-to provider for:
The use cases are multiplying rapidly, and that’s showing up in SoundHound’s customer list.
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SoundHound AI Is Seeing Strong Customer Momentum
Despite occasional volatility and operational hiccups that often accompany early-stage, high-growth AI companies, SoundHound is seeing consistent and expanding customer adoption across nearly every vertical it serves.
Quick-Service Restaurants (QSRs)
SoundHound now works with over 30% of the top 20 quick-service restaurants, a massive foothold in an industry that processes tens of billions of transactions annually.
The company is growing alongside:
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Burger King UK
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Church’s Texas Chicken
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Peet’s Coffee
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Whataburger
It also announced a major partnership with Red Lobster to roll out an AI-powered phone-ordering system—a tool that lets restaurants cut wait times, improve order accuracy, reduce staffing pressure, and boost customer satisfaction.
Healthcare Providers
SoundHound is also expanding into healthcare, where fast, accurate voice interaction has become essential. Its current partners include:
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Duke Health
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Wellstar Health System
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Englewood Health
Given rising administrative burdens and tight staffing limitations, AI phone agents and voice assistants represent a critical efficiency tool.
Automotive Manufacturers
SoundHound’s automotive segment remains one of its strongest use cases. Automakers increasingly rely on voice assistants for navigation, music selection, climate control, and real-time data requests. The company has secured relationships with several EV manufacturers, including Lucid Motors.
Retail, Financial Services, and Beyond
SoundHound is also being adopted by multi-location retail brands spanning clothing, fitness, vehicle maintenance, home services, waste management, and more.
In financial services alone, customers include BNP Paribas, American Heritage Credit Union, Nordic Bank, and Sterling Bank.
With each new customer, SoundHound benefits from recurring revenue, product expansion opportunities, and strong network effects as its platform gathers more real-world conversational data, fueling its next generation of AI models.
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