AI marketing adoption gap costs financial firms revenue - InvestmentNews

Financial institutions are deploying generative AI for marketing at a rapid pace, but new research suggests most are missing the next and more consequential step.

A report published this week by Scottsdale, Ariz.-based Cornerstone Advisors finds that banks and credit unions have largely confined artificial intelligence to content creation while neglecting the slower, more fundamental problem: the time it takes to move from identifying a customer need to actually acting on it.

That bottleneck, researchers argue, is where revenue is lost.

The report, Speed Is a Revenue Strategy: How AI Agents Accelerate Bank Marketing, is based on a survey of bank and credit union marketing leaders. It draws a sharp distinction between generative AI (tools that produce content) and agentic AI, which can execute defined actions autonomously within preset compliance controls.

The study found that 63% of bank and credit union marketing teams use generative AI for content creation, compared with 32% that use AI for analytics and decision support.

The gap between the two technologies, however, is striking. Just 9% of respondents currently use AI agents capable of executing actions, while 47% consider agentic AI an experimental or emerging area of investment, and only 5% identify it as a top strategic priority.

The findings arrive as financial services firms face mounting pressure to respond faster to client opportunities. The report identifies compliance review as one of the most significant structural barriers. Review cycles at some institutions can stretch four to six weeks, even as the market windows those campaigns are designed to capture open and close within hours.

"The banking industry's challenge isn't a lack of marketing technology. It's the inability to move fast enough to capitalize on opportunities," said Elizabeth Gujral, a director at Cornerstone Advisors and co-author of the report. "AI agents can help institutions compress marketing timelines, engage customers at higher-intent moments and measure speed as a growth metric, not just an efficiency metric."

The implication for wealth management and advisory firms is direct. InvestmentNews has documented the accelerating pace of AI adoption across the advisor landscape with practice management, client communication and portfolio analysis among the most active use cases.

But this research points to a less-examined vulnerability: institutions that adopt AI for content generation but fail to address workflow speed may find themselves outpaced by competitors who move more decisively.

Agentic AI, as defined in the Cornerstone Advisors report, is distinct from the generative tools most firms have already deployed.

Where a generative AI system drafts an email or structures a client proposal, an agentic system can trigger that outreach, route it through a compliance review protocol, update a customer record and log the interaction, all within parameters set in advance by compliance and legal teams.

Emmanuel Richard, chief revenue officer at Persado, said the competitive advantage lies precisely in that execution capability. "Institutions that can move from insight to outreach in hours instead of weeks will be better positioned to win deposits, loans, loyalty and wallet share while competitors are still waiting on approvals," Richard said.

FINRA has already taken notice of agentic AI's implications for regulated firms seeking member firm feedback on how autonomous systems should be governed. That regulatory attention underscores both the promise and the compliance complexity that comes with wider adoption.

The report identifies four specific applications where AI agents can reduce friction in financial services marketing: integrated compliance review, intelligent customer journey orchestration, generative content optimization, and real-time customer segmentation.

Despite the low adoption numbers, sentiment is shifting. Nearly two-thirds of respondents said that, within two years, they expect their organizations to be somewhat or very comfortable allowing AI agents to execute marketing actions within approved boundaries.

That projected comfort level matters because the pace of change in the underlying technology is not slowing. InvestmentNews has reported on how major aggregators are rolling out AI tools at scale including Jump AI's deployment across approximately 800 advisors following a pilot that showed task time reductions of roughly 70%. That trajectory suggests firms that delay moving beyond generative AI may face a steeper catch-up curve.

The Cornerstone Advisors report also points to where financial institutions see the most value in agentic applications. Respondents identified campaign or journey orchestration at 27% and offer or product recommendations at 25% as the AI agent capabilities with the greatest potential business impact.

For wealth management firms weighing where to direct technology investment, the research offers a pointed argument: speed is no longer purely an operational metric. It is a revenue strategy.

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