Prediction: 2 Stocks That Will Be Worth More Than SoundHound AI 2 Years From Now

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SoundHound AI's (NASDAQ: SOUN) stock soared more than 940% over the past 12 months. The developer of speech and audio recognition tools dazzled investors with its accelerating growth and support from Nvidia, which increased its stake in the company and integrated its services into its own Drive platform.

Its revenue grew 47% in both 2022 and 2023, and it expects 79%-85% growth in 2024 as it grows organically and integrates several recent acquisitions. For 2025, it expects its revenue to rise 86%-110% from the midpoint of that forecast.

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That rapid growth is being driven by the soaring demand for its AI-driven Houndify speech recognition services, which are already being used by automakers like Hyundai, smart TV makers like Walmart's Vizio, and fast food chains like Church's Chicken. Houndify is an attractive platform because it can be easily customized for different industries and companies, and it doesn't share any data with tech giants like Microsoft and Alphabet's Google.

But with a market cap of $8.05 billion, SoundHound now trades at 49 times its 2025 sales. It's still unprofitable, and it's increased its number of outstanding shares by 88% via secondary offerings and stock-based compensation since it went public by merging with a special purpose acquisition company (SPAC) in April 2022.

Therefore, SoundHound's stock could still be cut in half over the next two years if it doesn't meet its own lofty expectations. Meanwhile, two more reasonably valued AI stocks -- Innodata (NASDAQ: INOD) and SentinelOne (NYSE: S) -- might have a shot a outperforming SoundHound and exceeding its market cap over the next two years.

Innodata cleans up data for AI applications

When developing new AI applications, large companies often spend 80% of their time preparing their data and just 20% on actually training their AI algorithms. That approach is costly and inefficient for companies that need to feed massive amounts of data into their large language models (LLMs) and AI services.

To break that bottleneck, Innodata launched a suite of task-specific microservices for preparing data for AI applications in 2018. Five of the "Magnificent Seven" companies quickly adopted those services to organize their AI-oriented data, and Innodata's sales grew at a steady compound annual growth rate (CAGR) of 12% from 2019 to 2023.

But from 2023 to 2026, analysts expect Innodata's revenue to grow at an even faster CAGR of 42% as the generative AI market expands, its Magnificent Seven clients ramp up its spending, and it gains even more customers. They also expect it to turn profitable this year and grow its earnings per share (EPS) at a CAGR of 21% over the next two years.