5 Companies Using AI To Build Value, Not Buzz

While AI hype is prevalent, investors should focus on companies with data-driven AI advantages; Five9, Intuit, Hello Group, Getty Images, and Planet Labs are highlighted as firms with practical AI applications tied to their data assets. Companies with unique and extensive datasets, like Intuit, Getty, and Planet Labs, are positioned to benefit most from AI training and monetization, offering a defensible edge and growth potential.

Analysis

The current investment landscape is characterized by significant enthusiasm for Artificial Intelligence, prompting numerous companies to incorporate AI narratives into their disclosures. This article emphasizes the critical distinction between companies leveraging AI for genuine value creation versus those engaging in superficial buzz. It highlights Five9 (FIVN), Intuit (INTU), Hello Group (MOMO), Getty Images (GETY), and Planet Labs (PL) as entities with clear, practical AI applications tied to their existing data assets. A key insight is that companies possessing unique and extensive datasets—specifically citing Intuit, Getty Images, and Planet Labs—are best positioned to achieve superior AI training outcomes and effective monetization, thereby building a defensible competitive advantage and fostering real growth potential. The overall sentiment, while moderately positive (sentiment score 0.5), carries a cautious tone, underscoring the necessity for investors to be selective and focus on firms where AI is deeply integrated with proprietary data capabilities.

Key Decisions for Investors

• Investors should prioritize due diligence on companies' unique and extensive proprietary datasets, as these are identified as key differentiators for AI-driven value and monetization, particularly for firms like Intuit, Getty Images, and Planet Labs.
• Consider evaluating Five9 (FIVN), Intuit (INTU), Hello Group (MOMO), Getty Images (GETY), and Planet Labs (PL) for their practical AI use cases, noting the specific positive sentiment for FIVN (0.7) and the author's potential initiation of a long position in FIVN, suggesting a specific conviction.