U.S. Enterprises Expand AI Use Across Public Clouds
MWN-AI** Summary
According to a recent report by Information Services Group (ISG), U.S. enterprises are increasingly expanding their use of AI within public cloud environments to enhance productivity and streamline core operations. The 2025 ISG Provider Lens® Multi Public Cloud Services report highlights that businesses are leveraging cloud-native AI tools to simplify development and accelerate time-to-value by modernizing data pipelines and automating workflows. As companies adopt hybrid operating models, they are gaining the flexibility to manage AI workloads while adhering to performance, compliance, and governance standards.
The report emphasizes that strategic workload placement is crucial, enabling enterprises to minimize costs associated with AI consumption on cloud platforms. By carefully positioning tasks such as training and inference, organizations can lower egress expenses and enhance application latency. This optimization allows better alignment of capacity planning with data adjacency and development workflows.
As AI workload adoption grows, cost governance has emerged as a primary concern. Companies are incorporating financial considerations into their design processes and employing strategies like quantization, selective caching, and off-loading preprocessing to CPUs to manage costs effectively while maintaining accuracy and performance standards.
While general AI (GenAI) remains in its nascent stage in the U.S., companies are focusing on high-accuracy use cases within structured proof-of-concept programs. This cautious approach fosters disciplined scaling and investment toward applications with quantifiable results. Industry leaders such as Accenture, Capgemini, and AWS have been recognized for their contributions across multiple service quadrants, underscoring the competitive landscape of cloud services.
Overall, the report reflects a transformative shift in how enterprises harness the power of AI in public cloud ecosystems, driving innovation while prioritizing cost-efficiency and operational excellence.
MWN-AI** Analysis
As U.S. enterprises increasingly embrace artificial intelligence (AI) within public cloud environments, companies are positioned to enhance operational efficiency and streamline workflows. The recent ISG Provider Lens report reveals that this trend marks a critical shift in corporate cloud strategies. For investors, understanding this evolution provides insights into potential market opportunities.
AI's role in cloud computing is pivotal. Enterprises are not only adopting AI tools but are also optimizing their workload placement to balance performance and cost. This requires a nuanced approach to managing the complexities of hybrid environments, where compliance and governance become essential. Companies that strategically locate training processes near curated data, while keeping inference tasks close to end users, demonstrate improved latency and operational reliability.
Cost management is also emerging as a vital focus. Enterprises are integrating financial controls into AI workflows to mitigate egress fees and enhance the efficiency of GPU usage. Techniques such as selective caching and moving preprocessing tasks to CPU resources illustrate the sophisticated methods organizations are employing to minimize costs while maintaining service quality.
Investors should consider businesses that successfully implement these AI and cloud strategies as potential growth stocks. Companies that prioritize disciplined scaling of AI use cases, particularly in high-accuracy environments, could set industry standards. According to ISG, successful enterprises exhibit tight control over the scope of AI implementations, ensuring high quality in their deliverables.
Given the ongoing evolution of AI in public cloud settings, stakeholders should monitor providers highlighted as leaders, such as Accenture, Google, and Microsoft. These companies are at the forefront of the AI cloud revolution, positioning themselves as crucial players in the future landscape of technology. As companies optimize their AI capabilities, the ability to manage costs and deliver reliable services at scale will become paramount, guiding investment decisions in the sector.
**MWN-AI Summary and Analysis is based on asking OpenAI to summarize and analyze this news release.
AI adoption accelerates as companies refine workload placement and cost governance across hybrid environments, ISG Provider Lens ® report says
U.S. enterprises are implementing AI in public cloud environments to improve the productivity and efficiency of core business operations, according to a new research report published today by Information Services Group ( ISG ) (Nasdaq: III ), a global AI-centered technology research and advisory firm.
The 2025 ISG Provider Lens ® Multi Public Cloud Services report for the U.S. finds that organizations are using cloud-native AI tools to reduce development complexity and shorten time to value as they modernize data pipelines and automate workflows. Many companies are adopting operating models that support distributed AI workloads across hybrid environments, gaining flexibility while working to meet new requirements for performance, compliance and governance.
“AI is becoming central to cloud strategies as enterprises seek simpler development and faster outcomes,” said Anay Nawathe, ISG cloud delivery lead for the Americas. “Companies in the U.S. want predictable operations that support AI at scale without adding cost or complexity.”
U.S. enterprises are refining the placement of workloads to control the growth of AI consumption on cloud platforms, the report says. They carefully locate training, inference and data preparation tasks to reduce egress costs and improve application latency. This helps companies align capacity planning with data adjacency and developer workflows across diverse systems. Many organizations place training near curated data and locate inference close to users or machines to maintain performance and reliability.
Cost governance has become a primary focus as AI workloads increase, ISG says. Companies are treating budget requirements as design inputs and integrating financial controls into pipelines to avoid waste. Techniques such as quantization and selective caching reduce GPU use while maintaining accuracy. Moving preprocessing to CPU resources preserves accelerators’ capacity for critical tasks. These steps help organizations manage cost per transaction while meeting reliability and latency expectations.
GenAI adoption in the U.S. remains limited as companies advance only high-accuracy use cases into production, the report says. Many enterprises run structured proof-of-concept programs with strict rules for problem framing, testing and ownership of data and risk. This approach reduces uncertainty and channels investment toward applications with measurable outcomes. It also supports disciplined scaling as companies standardize requirements for performance, governance and oversight.
“Enterprises that succeed with GenAI keep the scope of implementations tight and the quality high,” said Shashank Rajmane, principal analyst, ISG Provider Lens Research, and lead author of the report. “Providers help them move from experimentation to production with clear controls and consistent execution.”
The report also explores other trends in public cloud use, including providers’ use of agentic AI systems for governance and orchestration and the integration of sustainability metrics into cost and resource planning.
For more insights into the cloud-related challenges faced by enterprises in the U.S., plus ISG’s advice for overcoming them, see the ISG Provider Lens ® Focal Points briefing here .
The 2025 ISG Provider Lens ® Multicloud Platform and Cloud Services report for the U.S. evaluates 63 providers across seven quadrants: Consulting and Transformation Services — Large Accounts, Consulting and Transformation Services — Midmarket, Managed Services — Large Accounts, Managed Services — Midmarket, FinOps Services and AI-driven Optimization, Hyperscale Infrastructure and Platform Services and SAP HANA Infrastructure Services.
The report names Accenture, Capgemini, HCLTech, Kyndryl and Rackspace Technology as Leaders in three quadrants each. It names AWS, Coforge, Cognizant, Deloitte, Google, Hexaware, Hitachi Digital Services, Infosys, Innova Solutions, Microsoft, Mphasis, NTT DATA, Persistent Systems, TCS, Unisys and Wipro as Leaders in two quadrants each. It further names DXC Technology, IBM and Microland as Leaders in one quadrant each.
In addition, Brillio, IBM, NTT DATA and Oracle are recognized as Rising Stars — companies with a “promising portfolio” and “high future potential” by ISG’s definition — in one quadrant each.
In the area of customer experience, LTIMindtree is named the global ISG CX Star Performer for 2025 among public cloud services providers. LTIMindtree earned the highest customer satisfaction scores in ISG's Voice of the Customer survey, part of the ISG Star of Excellence™ program , the premier quality recognition for the technology and business services industry.
A customized version of the report is available from Hexaware .
The 2025 ISG Provider Lens ® Multi Public Cloud Services report for the U.S. is available to subscribers or for one-time purchase on this webpage .
About ISG Provider Lens ® Research
The ISG Provider Lens ® Quadrant research series is the only service provider evaluation of its kind to combine empirical, data-driven research and market analysis with the real-world experience and observations of ISG's global advisory team. Enterprises will find a wealth of detailed data and market analysis to help guide their selection of appropriate sourcing partners, while ISG advisors use the reports to validate their own market knowledge and make recommendations to ISG's enterprise clients. The research currently covers providers offering their services globally, across Europe, as well as in the U.S., Canada, Mexico, Brazil, the U.K., France, Benelux, Germany, Switzerland, the Nordics, Australia and Singapore/Malaysia, with additional markets to be added in the future. For more information about ISG Provider Lens research, please visit this webpage .
About ISG
ISG (Nasdaq: III ) is a global AI-centered technology research and advisory firm. A trusted partner to more than 900 clients, including 75 of the world’s top 100 enterprises, ISG is a long-time leader in technology and business services that is now at the forefront of leveraging AI to help organizations achieve operational excellence and faster growth. The firm, founded in 2006, is known for its proprietary market data, in-depth knowledge of provider ecosystems, and the expertise of its 1,600 professionals worldwide working together to help clients maximize the value of their technology investments.
View source version on businesswire.com: https://www.businesswire.com/news/home/20251215566741/en/
Press Contacts:
Laura Hupprich, ISG
+1 203-517-3100
laura.hupprich@isg-one.com
Julianna Sheridan, Matter Communications for ISG
+1 978-518-4520
isg@matternow.com
FAQ**
How does Information Services Group Inc. III's report indicate that U.S. enterprises are addressing cost governance as AI adoption grows in hybrid environments?
What specific strategies does Information Services Group Inc. III highlight for organizations refining workload placement for enhanced AI efficiency?
In what ways are organizations leveraging cloud-native AI tools, according to Information Services Group Inc. III, to reduce complexity and accelerate time to value?
How does Information Services Group Inc. III suggest companies can balance the implementation of GenAI in production while managing risk and governance?
**MWN-AI FAQ is based on asking OpenAI questions about Information Services Group Inc. (NASDAQ: III).
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