Pro-tip: 3 AI stocks draw investor focus across healthcare, voice, and analytics

Three artificial intelligence companies have emerged as standout performers in recent trading sessions, drawing investor attention through a combination of high trading volumes and innovative approaches to AI implementation. While the broader AI sector continues its rapid evolution, these particular stocks—Tempus AI, SoundHound AI, and BigBear.ai—represent distinct applications of machine learning technology across healthcare, voice interfaces, and decision intelligence.

The AI investment landscape remains dynamic and volatile, with companies in this space often experiencing significant price swings as investors weigh long-term growth potential against current market uncertainties. These three stocks have distinguished themselves not just through trading activity, but through their focused approaches to solving specific industry challenges using artificial intelligence.

Three AI stocks commanding attention

1. Tempus AI (TEM) – Precision medicine through data

Tempus AI operates at the intersection of healthcare and artificial intelligence, developing what’s known as precision medicine solutions. Rather than the one-size-fits-all approach traditional medicine often employs, precision medicine uses AI to analyze vast amounts of patient data—including genetic information, medical history, and treatment responses—to create personalized treatment plans.

The company’s platform helps physicians make more informed decisions by processing complex medical data that would be impossible for humans to analyze comprehensively. For example, when treating cancer patients, Tempus AI can analyze tumor genetics, patient medical history, and treatment outcomes from similar cases to suggest the most effective therapeutic approach.

This technology addresses a critical healthcare challenge: the growing complexity of medical data and the need for treatments tailored to individual patients rather than broad population averages. As healthcare costs continue rising and patient outcomes become increasingly important metrics, Tempus AI’s approach represents a significant shift toward data-driven medical decision-making.

2. SoundHound AI (SOUN) – Voice interfaces beyond smartphones

SoundHound AI specializes in conversational artificial intelligence, creating voice-powered interfaces that businesses can integrate into their products and services. Unlike basic voice recognition systems, the company’s technology enables natural, context-aware conversations between users and machines.

The company’s Houndify platform provides businesses with tools to build custom voice assistants. This includes Application Programming Interfaces (APIs)—essentially software building blocks that allow different programs to communicate—for processing both text and voice queries. The platform also offers extensive content libraries covering topics like weather, sports, stocks, and restaurant information.

SoundHound’s technology appears across multiple industries. In automotive applications, drivers can use natural language to control navigation, entertainment, and vehicle functions without taking their hands off the wheel. Customer service applications allow businesses to handle routine inquiries through AI-powered voice systems, potentially reducing wait times and operational costs.

The company’s SoundHound Chat AI integrates real-time information, enabling voice assistants to provide current data rather than static responses. This capability becomes particularly valuable as businesses seek to automate customer interactions while maintaining quality and accuracy.

3. BigBear.ai (BBAI) – Decision intelligence for complex operations

BigBear.ai focuses on what industry experts call “decision intelligence”—using artificial intelligence to help organizations make better choices by analyzing complex, multi-source data sets. The company serves sectors where decision-making involves high stakes and numerous variables, particularly national security and supply chain management.

In supply chain applications, BigBear.ai’s systems can process data from suppliers, transportation networks, market conditions, and geopolitical factors to help companies optimize their operations. This becomes especially critical during disruptions, when traditional planning methods may prove inadequate.

The company also provides digital identity and biometrics solutions, which involve using AI to verify and authenticate individuals through biological characteristics like fingerprints or facial recognition. These systems are increasingly important for security applications and digital transactions.

BigBear.ai’s approach combines data ingestion (collecting information from multiple sources), data enrichment (adding context and analysis), and predictive analytics to create comprehensive decision-support systems. This technology helps organizations move beyond reactive problem-solving toward anticipating and preventing issues before they occur.

Investment considerations

These AI stocks represent different approaches to monetizing artificial intelligence technology. Tempus AI targets the massive healthcare market, where AI adoption could significantly impact patient outcomes and cost management. SoundHound AI positions itself in the growing voice interface market, as businesses increasingly seek to automate customer interactions. BigBear.ai serves specialized markets where decision-making complexity justifies premium AI solutions.

However, AI stocks typically exhibit higher volatility than traditional technology investments. The sector remains in its early stages, with companies still proving their business models and demonstrating sustainable revenue growth. Investors should consider these stocks as part of a broader technology allocation rather than concentrated positions.

The artificial intelligence sector continues evolving rapidly, with new applications and competitors emerging regularly. While these three companies have gained recent attention through trading activity and technological development, their long-term success will depend on executing their respective strategies and adapting to an increasingly competitive landscape.