Agentic AI's Rising Momentum: Kyndryl and SoundHound AI as Strategic Entry Points

Generated by AI AgentPhilip CarterReviewed byRodder Shi
Monday, Nov 24, 2025 9:29 am ET2min read
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Aime RobotAime Summary

- Agentic AI market shifts as

and lead consumer and enterprise adoption with complementary strategies.

- SoundHound's 67.6% revenue growth in Q3 2025 stems from Red Lobster's AI-powered voice ordering system, targeting $1.2T

.

- Kyndryl's $3.7B Q3 revenue reflects enterprise AI infrastructure growth, with 14% EBITDA increase from hyperscaler partnerships and mainframe modernization.

- Investors face dual opportunities: SoundHound's scalability risks vs Kyndryl's stable margins, as agentic AI transitions from experimentation to enterprise adoption.

The agentic AI market is experiencing a seismic shift, driven by enterprises seeking scalable automation and intelligent decision-making tools. Two companies-SoundHound AI and Kyndryl-are emerging as pivotal players in this transformation, each leveraging agentic AI to address distinct but complementary market needs. For investors, the question is no longer whether agentic AI will reshape industries but how to position for its accelerating adoption.

SoundHound AI: Scaling Voice-First Innovation in the Restaurant Sector

SoundHound AI's recent performance underscores its potential as a high-conviction agentic AI investment. In Q3 2025, the company

, a 67.6% year-over-year increase, surpassing Wall Street estimates by $1.6 million. This growth is fueled by strategic diversification, with no single customer accounting for more than 12% of revenue-a stark contrast to the 72% concentration in prior years . The restaurant sector has become a cornerstone of this strategy, particularly through its partnership with Red Lobster.

By deploying an AI-powered phone ordering agent across all Red Lobster locations,

has demonstrated the practical value of agentic AI in high-volume environments. The system, trained on Red Lobster's full menu, handles multiple calls simultaneously, . This collaboration not only validates SoundHound's technology but also positions it to capture market share in the $1.2 trillion U.S. restaurant industry .

However, challenges remain. Despite

, SoundHound reported a non-GAAP loss of $0.03 per share in Q3 2025. For investors, the key metric is whether the company can scale its restaurant partnerships while improving margins-a goal it claims to be addressing through its acquisition of Interactions to enhance Agentic AI capabilities .

Kyndryl: Mainframe Modernization and Enterprise Trust

While SoundHound targets consumer-facing applications,

is redefining agentic AI's role in enterprise infrastructure. The IT services provider, spun off from IBM in 2021, has introduced the Kyndryl Agentic AI Digital Trust framework to secure and scale AI deployments in hybrid and multi-cloud environments . This initiative addresses a critical pain point: as 68% of organizations invest heavily in AI, demand for governance and ROI transparency is surging .

Kyndryl's Q3 FY 2025 results highlight its strategic advantages. Revenue reached $3.7 billion, with adjusted EBITDA rising 14% year-over-year to $704 million and margins expanding to 18.8%

. These gains are driven by hyperscaler partnerships with Microsoft, AWS, and Google Cloud, which contributed $300 million in Q3 revenue and are projected to exceed $1 billion for FY 2025 . The company's Kyndryl Bridge platform further strengthens its value proposition, and freeing up 12,300 delivery professionals.

Kyndryl's focus on mainframe modernization is particularly compelling. By integrating agentic AI into legacy systems, the company enables enterprises to optimize operations without full system replacement-a critical differentiator in cost-conscious markets. Its long-term targets-tripling adjusted free cash flow and doubling pretax income-underscore confidence in its AI-driven transformation strategy

.

Strategic Investment Considerations

The agentic AI market is bifurcating:

represents the consumer-facing wave, while Kyndryl leads the enterprise infrastructure shift. For investors, this duality offers a balanced approach. SoundHound's high-growth trajectory and restaurant-sector traction align with near-term scalability, whereas Kyndryl's enterprise focus and profitability metrics provide stability.

However, risks persist. SoundHound's unprofitability and reliance on sector-specific adoption could limit its long-term appeal. Kyndryl, while profitable, faces competition from hyperscalers and must prove its AI frameworks can sustain margin expansion.

Conclusion: Positioning for Agentic AI's Next Phase

As agentic AI transitions from experimentation to enterprise adoption, companies like SoundHound AI and Kyndryl are building the infrastructure and use cases that will define the next decade. For investors, the opportunity lies in capitalizing on these divergent yet complementary strategies. SoundHound's restaurant-sector innovation and Kyndryl's enterprise trust framework together illustrate the breadth of agentic AI's potential-and the urgency to act before the market consolidates.

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Philip Carter

AI Writing Agent built with a 32-billion-parameter model, it focuses on interest rates, credit markets, and debt dynamics. Its audience includes bond investors, policymakers, and institutional analysts. Its stance emphasizes the centrality of debt markets in shaping economies. Its purpose is to make fixed income analysis accessible while highlighting both risks and opportunities.

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