SoundHound AI's research shows strong banking sector interest in agentic AI, with larger institutions leading adoption efforts.
Quiver AI Summary
SoundHound AI, Inc. has released research highlighting banking industry professionals' attitudes towards agentic AI, revealing that 70% believe the technology will significantly impact the banking sector. The survey, conducted by Arizent, shows that larger banks are more proactive in adopting agentic AI, with 64% testing or deploying it compared to 38% of smaller institutions. The primary use cases for this technology identified include customer service, employee efficiency, and fraud management, with 73% of respondents asserting that it could enhance customer experiences. Despite enthusiasm, banks face barriers such as security concerns and integration challenges. SoundHound's Amelia 7 platform was highlighted for its advanced capabilities, and 88% of survey respondents viewed it as valuable for their businesses. Overall, the findings suggest a cautious yet optimistic path toward the broader adoption of agentic AI in banking.
Potential Positives
- 70% of banking professionals predict agentic AI will have a significant impact on the industry, indicating a strong market potential for SoundHound's solutions.
- 88% of survey respondents found SoundHound's Amelia 7 platform valuable for their business, suggesting high customer interest and potential for adoption.
- SoundHound AI is already working with seven of the top ten global financial institutions, which enhances its credibility and positioning in the market.
- The reported satisfaction rate of 94% among current agentic AI users indicates a positive reception and likely future demand for SoundHound's offerings.
Potential Negatives
- Concerns regarding trust and security were highlighted, indicating that despite enthusiasm for agentic AI, significant barriers remain for full adoption.
- Only 38% of smaller institutions are deploying or testing agentic AI, which suggests that SoundHound's reliance on larger banks may limit its market potential.
- The top adoption barriers listed, including security, compliance, and integration with legacy systems, could hinder SoundHound’s growth in the financial services sector.
FAQ
What is the main finding of SoundHound's research on agentic AI in banking?
The research reveals that 70% of banking professionals believe agentic AI will significantly impact the industry.
How many banks are testing or deploying agentic AI?
More than 64% of larger banks are testing or actively deploying agentic AI technologies.
What are the primary use cases for agentic AI in banking?
The top use cases include Customer Service (59%), Employee Efficiency (39%), and Fraud/Risk Management (37%).
What concerns do banks have about adopting agentic AI?
Top concerns include security and compliance (51%), autonomy (51%), integration with legacy systems (46%), and costs (42%).
What is SoundHound's Amelia 7 platform?
Amelia 7 is an agentic AI platform that orchestrates multiple AI agents to handle complex queries and transactions autonomously.
Disclaimer: This is an AI-generated summary of a press release distributed by GlobeNewswire. The model used to summarize this release may make mistakes. See the full release here.
$SOUN Congressional Stock Trading
Members of Congress have traded $SOUN stock 1 times in the past 6 months. Of those trades, 1 have been purchases and 0 have been sales.
Here’s a breakdown of recent trading of $SOUN stock by members of Congress over the last 6 months:
- REPRESENTATIVE CLEO FIELDS purchased up to $15,000 on 07/16.
To track congressional stock trading, check out Quiver Quantitative's congressional trading dashboard.
$SOUN Insider Trading Activity
$SOUN insiders have traded $SOUN stock on the open market 33 times in the past 6 months. Of those trades, 0 have been purchases and 33 have been sales.
Here’s a breakdown of recent trading of $SOUN stock by insiders over the last 6 months:
- KEYVAN MOHAJER (CEO) has made 0 purchases and 4 sales selling 511,553 shares for an estimated $6,969,870.
- MAJID EMAMI (VP, Engineering) has made 0 purchases and 7 sales selling 391,648 shares for an estimated $4,819,503.
- NITESH SHARAN (Chief Financial Officer) has made 0 purchases and 7 sales selling 298,083 shares for an estimated $4,418,815.
- TIMOTHY STONEHOCKER (Chief Technology Officer) has made 0 purchases and 7 sales selling 230,641 shares for an estimated $3,295,117.
- MICHAEL ZAGORSEK (Chief Operating Officer) has made 0 purchases and 3 sales selling 187,017 shares for an estimated $2,213,828.
- JAMES MING HOM (Chief Product Officer) has made 0 purchases and 4 sales selling 125,464 shares for an estimated $1,456,196.
- DIANA SROKA sold 2,800 shares for an estimated $27,837
To track insider transactions, check out Quiver Quantitative's insider trading dashboard.
$SOUN Hedge Fund Activity
We have seen 241 institutional investors add shares of $SOUN stock to their portfolio, and 150 decrease their positions in their most recent quarter.
Here are some of the largest recent moves:
- BANK OF AMERICA CORP /DE/ added 15,461,780 shares (+196.8%) to their portfolio in Q2 2025, for an estimated $165,904,899
- D. E. SHAW & CO., INC. removed 6,411,548 shares (-98.6%) from their portfolio in Q2 2025, for an estimated $68,795,910
- MORGAN STANLEY removed 5,841,264 shares (-59.3%) from their portfolio in Q2 2025, for an estimated $62,676,762
- BNP PARIBAS FINANCIAL MARKETS removed 2,795,018 shares (-97.2%) from their portfolio in Q2 2025, for an estimated $29,990,543
- UBS GROUP AG removed 2,310,387 shares (-33.8%) from their portfolio in Q2 2025, for an estimated $24,790,452
- VANGUARD GROUP INC added 2,264,978 shares (+6.5%) to their portfolio in Q2 2025, for an estimated $24,303,213
- POINT72 ASSET MANAGEMENT, L.P. removed 1,425,245 shares (-100.0%) from their portfolio in Q2 2025, for an estimated $15,292,878
To track hedge funds' stock portfolios, check out Quiver Quantitative's institutional holdings dashboard.
$SOUN Analyst Ratings
Wall Street analysts have issued reports on $SOUN in the last several months. We have seen 4 firms issue buy ratings on the stock, and 0 firms issue sell ratings.
Here are some recent analyst ratings:
- HC Wainwright & Co. issued a "Buy" rating on 09/17/2025
- Wedbush issued a "Outperform" rating on 09/11/2025
- DA Davidson issued a "Buy" rating on 09/10/2025
- Ladenburg Thalmann issued a "Buy" rating on 08/11/2025
To track analyst ratings and price targets for $SOUN, check out Quiver Quantitative's $SOUN forecast page.
$SOUN Price Targets
Multiple analysts have issued price targets for $SOUN recently. We have seen 5 analysts offer price targets for $SOUN in the last 6 months, with a median target of $16.0.
Here are some recent targets:
- Scott Buck from HC Wainwright & Co. set a target price of $26.0 on 10/16/2025
- Daniel Ives from Wedbush set a target price of $16.0 on 09/11/2025
- Gil Luria from DA Davidson set a target price of $17.0 on 09/10/2025
- Glenn Mattson from Ladenburg Thalmann set a target price of $16.0 on 08/11/2025
- James Fish from Piper Sandler set a target price of $12.0 on 07/14/2025
Full Release
SANTA CLARA, Calif., Oct. 27, 2025 (GLOBE NEWSWIRE) -- SoundHound AI, Inc. (Nasdaq: SOUN), a global leader in voice and conversational AI, today released new research that reveals banking industry attitudes towards agentic AI. The survey of industry professionals, conducted by Arizent, found that 70% predicted the technology will have a “significant” impact or believe the technology will be a “game changer” that will have a profound effect on the future of banking and financial services.
The Current State of Agentic AI in Banking
The research highlights a significant divide in adoption based on institution size, with larger banks leading the charge:
- More than three in five (64%) of larger banks are testing or actively deploying agentic AI.
- Smaller institutions were significantly less likely to be deploying or testing (38%) .
Institutions that said they were already deploying agentic AI were almost four times more likely than those in pilot to think of the technology as an industry “game-changer”, with a huge majority (94%) expressing satisfaction with their current agentic AI deployments.
Just 2% of those surveyed said that agentic AI wasn’t at all valuable to their bank.
Key Use Cases
Customer Service was a higher priority for larger banks and senior executives, and more than three quarters (76%) of all respondents said their bank had formed an AI committee to evaluate potential AI use cases.
According to banking professionals, the top use cases for agentic AI are:
- Customer Service / Call Center (59%)
- Employee Efficiency (39%)
-
Fraud / Risk Management (37%)
Overall, agentic AI’s core value is seen in its potential to enhance the overall human element of banking , with 73% of respondents believing it will improve the customer experience, and 79% stating it will improve the employee experience.
Adoption Barriers and Incentives
Despite a clear enthusiasm for agentic AI, banks are still navigating a careful path towards adoption. Top concerns include:
- Security and compliance (51%)
- Concerns about autonomy (51%)
- Integration with legacy systems (46%)
- Costs (42%)
Still, many banks are already looking to agentic AI as a part of the solution to the barriers listed above. 42% believe agentic AI could be of benefit to fraud and risk automation, with nearly a third believing that AI agents could help with compliance .
When asked what would make their respective institutions more likely to adopt agentic AI, over half of banking professionals said stronger regulatory guidance (54%) and the ability to integrate seamlessly with existing tools (53%).
SoundHound’s Amelia 7 Agentic AI Platform
Upon being shown a video demo of SoundHound’s Amelia 7 platform , 88% of respondents said that the technology would be valuable to their business, and 98% thought it represented an improvement on their current technology deployment .
“It’s clear that agentic AI will change the banking industry in fundamental ways thanks to its incredible ability to reason, act, and perform complex tasks,” said Michael Anderson, EVP of AI for Enterprise of SoundHound AI. “This independent research illustrates that this evolution is being met with enthusiasm, particularly among larger institutions. However, trust and security have an important role to play in the industry fully embracing agentic AI, and allowing banks to move forward with confidence.”
SoundHound AI works with seven of the top ten global financial institutions and powers hundreds of large enterprise brands – from major retail banks to regional banks and credit unions – with its Amelia 7 platform. The Amelia 7 platform can handle complex, multi-step user queries by orchestrating multiple AI agents with specific functions to answer questions, execute transactions, and resolve problems via text or voice, without the need for human intervention.
Amelia 7’s AI Agents use Agentic+ – a flexible combination of generative AI, multi-agent autonomous orchestration, traditional deterministic models, and human-in-the-loop to complete tasks based on the best possible path to the right response.
Read the full research report here: https://www.soundhound.com/agentic-ai-for-banking-whitepaper-2025/
Methodology
This survey was conducted by Arizent and American Banker on behalf of SoundHound. The research was conducted online from July 22nd to August 18th, 2025 among 201 qualified respondents. To qualify, respondents needed to work at a credit union, retail bank, or commercial bank with a retail division; these banks could be any size. Respondents also had to be in a managerial role or higher at their organization and be at least moderately involved with their organization’s AI initiatives/strategy.
This was a blind data collection effort; SoundHound was not identified as a sponsor of this research.
About SoundHound AI
SoundHound AI (Nasdaq: SOUN), a global leader in voice and conversational AI, delivers solutions that allow businesses to offer superior experiences to their customers. Built on proprietary technology, SoundHound’s voice AI delivers best-in-class speed and accuracy in numerous languages to product creators and service providers across retail, financial services, healthcare, automotive, smart devices, and restaurants. The company’s various groundbreaking AI-driven products include Smart Answering, Smart Ordering, Dynamic Drive-Thru, and the Amelia Platform, which powers AI Agents for enterprise. In addition, SoundHound Chat AI, a powerful voice assistant with integrated Generative AI, and Autonomics, a category-leading operations platform that automates IT processes, have enabled SoundHound to power millions of products and services, and process billions of interactions each year for world class businesses.
Media Contact
Fiona McEvoy
415-610-6590
[email protected]
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