GenAI Delivering Now, Tokenization Is Next: Financial Services Enters Period of Accelerating Transformation, Landmark Broadridge Study Finds
MWN-AI** Summary
A recent study by Broadridge Financial Solutions highlights a transformational shift in the financial services sector as firms move beyond experimental uses of Generative AI (GenAI) to scaled implementations that demonstrate tangible business outcomes. The sixth annual Digital Transformation & Next-Gen Technology Study, surveying over 900 industry leaders, reveals that 80% of firms now incorporate GenAI into their operations, a significant leap from just 31% the previous year. As confidence in AI's ROI grows, 72% of firms are making substantial investments in the technology, and 27% report measurable business improvements.
As AI becomes integral to daily operations, financial services firms are now focusing on the next phase: the tokenization of market infrastructure. This trend is seen as an evolutionary step, transforming asset issuance, trading, and settlement processes to enhance efficiency, transparency, and liquidity across markets. Over half of the firms acknowledge making significant investments in tokenization, fostering predictions that major asset classes will undergo tokenization within the next four to five years.
However, the study also identifies challenges, particularly in execution. Eighty-four percent of firms recognize the need for integrated platforms to support these advancements, while talent shortages pose further barriers to the deployment of advanced AI systems. As firms navigate this complex landscape, partnerships and collaborations will be invaluable in realizing the potential of tokenization, although concerns surrounding regulatory uncertainties and cybersecurity risks persist.
In conclusion, the findings point towards a pivotal moment in the financial sector, characterized by a shift from experimentation to operational transformation, with AI delivering immediate value and tokenization poised as the next structural evolution. The key for firms will be balancing ambition with effective execution to thrive in a rapidly digitizing landscape.
MWN-AI** Analysis
As financial services firms transition from experimental technology to wide-scale AI and blockchain implementations, now is a pivotal moment for investors to reassess their strategies. The recent Broadridge study highlights how generative AI (GenAI) is not just a trend but a foundational element driving efficiency across operations. Currently, 80% of firms are integrating GenAI into their processes, marking a significant increase from just 31% last year. As major players report tangible benefits from these innovations, investors should look for opportunities in firms with strong GenAI adoption strategies and skilled talent in data analytics and machine learning.
Tokenization is poised to be the next transformative frontier. More than half of the surveyed firms are committing significant resources to develop tokenized frameworks for assets, which could revolutionize market operations. By focusing on liquidity, efficiency, and transparency, tokenization offers a compelling growth story that could enhance investment returns. Investors should consider diversifying into companies leading the charge in adopting distributed ledger technology and those demonstrating a capacity for innovation in asset management.
However, while the potential is vast, risks remain. Investors should be mindful of cybersecurity threats and the challenges posed by regulatory uncertainties surrounding digital assets. Firms that successfully navigate these hurdles and establish strong partnerships within the ecosystem are likely to emerge as market leaders.
As the financial services sector embraces AI and tokenization, it’s crucial for investors to prioritize companies that exhibit a pragmatic approach to execution and transformation. Ensuring alignment between ambition and operational capability will be key. Overall, investing in firms that are strategically poised to leverage these technologies could yield substantial rewards in an evolving landscape.
**MWN-AI Summary and Analysis is based on asking OpenAI to summarize and analyze this news release.
PR Newswire
NEW YORK, Feb. 25, 2026 /PRNewswire/ -- With GenAI deployment delivering measurable business results, financial services firms are doubling down on technology transformation and taking aim at the tokenization of market infrastructure.
According to the sixth annual 2026 Digital Transformation & Next-Gen Technology Study from global Fintech leader Broadridge Financial Solutions, Inc. (NYSE: BR), leading financial services firms are moving beyond GenAI experimentation toward scaled execution, using agentic AI to drive immediate productivity gains while investing in distributed ledger and blockchain infrastructure that could fundamentally reshape financial markets.
The global study, based on a survey of more than 900 financial services technology and operations leaders across wealth management, capital markets, and asset management, finds the industry at a pivotal moment: AI is becoming foundational to day-to-day operations, while tokenization represents the next wave of market evolution.
"AI proved the industry can modernize at speed," said Germán Soto Sanchez, Chief Product and Strategy Officer. "Tokenization is the next leap forward that will re-architect markets. Its clear financial services firms see tokenization is a long-term structural evolution to financial market infrastructure that delivers efficiency, transparency, and liquidity."
AI Moves from Pilots to Production
AI adoption has accelerated dramatically over the past year. Eighty percent of firms report using generative or predictive AI in operations, up from 31% last year, reflecting a rapid move from pilot programs to enterprise deployment. AI is also viewed as delivering the greatest business impact among next-generation technologies, surpassing cloud. As confidence in returns grows, 72% of firms report making moderate to large GenAI investments, while concern about GenAI ROI has fallen to 33%, down from 42% a year ago.
That shift is translating into results: 27% of firms report measurable business benefits from GenAI, a 13-point increase year over year, underscoring AI's growing impact on productivity and operational efficiency.
As generative AI matures, firms are beginning to deploy agentic AI—more autonomous systems capable of executing tasks and orchestrating workflows with limited human intervention. While still early, 26% of firms report current use of agentic AI, with more than half of those deployments already beyond pilot phases. Adoption is most advanced among large institutions, where nearly one-third of firms managing more than $250 billion in assets report active use.
Tokenization Approaches an Inflection Point
As AI becomes embedded in operating models, firms are turning their attention to longer-term structural change, reimagining how assets are issued, traded, and settled through tokenization.
A majority of firms increasingly view tokenization as a structural evolution of market infrastructure rather than a near-term replacement for existing systems. While near-term adoption remains measured, confidence in blockchain and distributed ledger technology continues to rise with 53% of firms believing DLT will have a dramatic effect on the way assets are settled—underscoring growing conviction that next-generation infrastructure will reshape post-trade operations and core market infrastructure.
That conviction is increasingly translating into capital commitments. More than half (54%) of firms report making moderate to large investments in tokenization and digital asset infrastructure, signaling that the industry is moving beyond exploration toward scaled buildout.
Market participants expect a significant portion of major asset classes, including equities, mutual funds, and alternatives, to be tokenized within the next four to five years—with its perceived strategic importance projected to rise sharply over the next five years. Seventy percent of firms say external partnerships will be critical to capturing value as tokenized market infrastructure develops, signaling the need for ecosystem collaboration as standards and interoperability frameworks mature.
While firms cite benefits including enhanced liquidity, improved operational efficiency and faster settlement, they also acknowledge risks related to regulatory uncertainty, interoperability challenges, cybersecurity, and market structure fragmentation. The study found that 64% of firms cite cybersecurity risks associated with tokenization and 55% point to increased valuation risk. Notably, many firms believe that forthcoming digital asset regulations will ultimately have a positive impact on adoption by providing greater clarity and market stability.
Execution, Not Strategy, Is the Bottleneck
Across both AI and tokenization initiatives, the primary barriers to progress lie in firms' ability to execute.
Eighty-four percent of firms emphasize the importance of integrated platforms, and 43% expect to rebuild core systems to support AI-driven operating models.
At the same time, talent gaps are becoming more acute: 37% of firms cite lack of skilled talent as a barrier to agentic AI adoption, reflecting rising demand for advanced technical and data capabilities. Regarding GenAI, 38% of firms said lack of skilled talent is their biggest barrier to adoption of GenAI, up from 28% in 2025. When asked about AI overall, 65% of firms say they have no formal mandate or incentives in place to use AI, and 61% say AI training is encouraged, but there are no formal targets in place
An Industry Embarking on Structural Change
Taken together, the findings point to an industry transitioning from digital experimentation to operational transformation. AI is delivering measurable impact today. Tokenization represents the next structural shift in how financial markets function.
The firms that succeed will be those that pair ambition with disciplined execution—modernizing core infrastructure while building the capabilities required to operate in increasingly digitized, interoperable markets.
Methodology
Broadridge commissioned Phronesis Partners to conduct this survey. This survey, as part of Broadridge's annual series, was conducted in a fashion consistent with previous years. The survey was taken by over 900 financial services technology and operations leaders from around the world and across wealth management, capital markets, and asset management firms.
About Broadridge
Broadridge Financial Solutions (NYSE: BR) is a global technology leader with the trusted expertise and transformative technology to help clients and the financial services industry operate, innovate, and grow. We power investing, governance, and communications for our clients – driving operational resiliency, elevating business performance, and transforming investor experiences.
Our technology and operations platforms process and generate over 7 billion communications per year and underpin the daily trading of more than $15 trillion of securities globally. A certified Great Place to Work®, Broadridge is part of the S&P 500® Index, employing over 14,000 associates in 21 countries.
For more information about us, please visit www.broadridge.com.
Broadridge Contacts:
Investors:
broadridgeir@broadridge.com
Media:
Gregg Rosenberg
Global Head of Corporate Communications
Gregg.Rosenberg@broadridge.com
SOURCE Broadridge Financial Solutions, Inc.
FAQ**
How is Broadridge Financial Solutions Inc. (NYSE: BR) leveraging generative AI to drive immediate productivity gains within financial services, and what specific measurable business results have been reported from these AI implementations?
In the context of Broadridge Financial Solutions Inc. (NYSE: BR), what are the anticipated challenges and opportunities that tokenization presents for financial market infrastructure, and how are firms planning to address regulatory uncertainties related to this transformation?
What findings from the Broadridge Financial Solutions Inc. (NYSE: BR) study indicate the importance of external partnerships in successfully implementing tokenization, and how do firms view the potential for enhanced liquidity and operational efficiency through these collaborations?
Given the challenges in talent acquisition reported by firms, what strategies is Broadridge Financial Solutions Inc. (NYSE: BR) considering to bridge the skills gap for AI and tokenization initiatives, ensuring effective execution of their technological transformation?
**MWN-AI FAQ is based on asking OpenAI questions about Broadridge Financial Solutions Inc.Common Stock (NYSE: BR).
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