What Is the State of AI in Financial Services in 2025? Key Insights for Your Firm

As financial services leaders, we're at a pivotal moment in the AI revolution. While 88% of organizations are now regularly using AI in at least one business function—up from 78% just a year ago—the gap between adoption and value capture remains significant. McKinsey's latest "State of AI in 2025" report provides critical insights that every financial services executive should understand.

At Vantage Point, we work exclusively with wealth management firms, banks, insurance companies, and fintech organizations to transform their operations through AI-driven CRM solutions. Based on McKinsey's comprehensive research and our hands-on experience, here's what financial services leaders need to know about AI in 2025—and how to position your firm among the high performers.

📊 Key Stat: Only 7% of organizations have fully scaled AI enterprise-wide, yet 88% are using AI in at least one business function. The gap between adoption and value creation is where opportunity lives.

What Is the Current State of AI Adoption in Financial Services?

Despite widespread AI adoption, most organizations have not yet begun scaling AI across the enterprise. McKinsey's survey reveals a clear adoption spectrum:

For financial services firms, this presents both a challenge and an opportunity. While many institutions have invested in AI tools—particularly in knowledge management, marketing and sales, and IT operations—most have not yet embedded these technologies deeply enough into workflows to realize material enterprise-level benefits.

How Does Company Size Affect AI Scaling Success?

Company size significantly impacts AI scaling success:

• $5B+ revenue firms — Nearly 50% have reached the scaling phase
• Under $100M revenue firms — Only 29% have reached scaling phase

For mid-sized financial institutions, this creates both competitive pressure and a clear imperative: developing a strategic approach to AI that goes beyond point solutions to create enterprise-wide transformation.

How Are AI Agents Changing Financial Services in 2025?

One of the most significant developments in 2025 is the emergence of AI agents—systems based on foundation models that can act autonomously in the real world, planning and executing multiple steps in a workflow. This represents a fundamental shift from AI as a tool that requires human direction for each task to AI as a collaborative partner that can handle complex, multi-step processes.

What Are the Key Applications of Agentic AI in Financial Services?

In the financial services context, agentic AI has immediate applications in:

• Service desk management — Automating IT operations and support workflows
• Deep research — Accelerating knowledge management and due diligence
• Customer service automation — Handling multi-step client inquiries in contact centers
• Compliance monitoring — Proactive risk detection and regulatory tracking

How Widespread Is AI Agent Adoption Today?

McKinsey's research shows that 23% of respondents report their organizations are scaling an agentic AI system somewhere in their enterprises, with an additional 39% experimenting with AI agents. However, most organizations scaling agents are doing so in only one or two functions, and in any given business function, no more than 10% of respondents report scaling AI agents.

📊 Key Stat: 23% of organizations are scaling agentic AI, and 39% are experimenting—but most are doing so in only 1-2 business functions.

As Michael Chui, Senior Fellow at McKinsey, notes: "AI agents have been the subject of intense buzz and excitement... the use of agents is not yet widespread. This gap highlights the contrast between the great potential that manifests in a 'hype cycle' and the current reality on the ground."

For financial services leaders, the message is clear: AI agents represent significant potential, but successful implementation requires careful planning, workflow redesign, and a willingness to iterate. The firms that start experimenting now—with realistic expectations and a focus on specific, high-value use cases—will be best positioned to scale as the technology matures.

How Is AI Driving Innovation Beyond Cost Reduction in Financial Services?

While 80% of respondents say their companies set efficiency as an objective of their AI initiatives, the companies seeing the most value from AI often set growth or innovation as additional objectives. This distinction is critical for financial services firms.

What Qualitative Improvements Are Organizations Seeing from AI?

Respondents report significant qualitative improvements from AI use:

• 64% say AI is enabling innovation — New products, services, and approaches
• 45% report improved customer satisfaction — Better client experiences
• 45% cite competitive differentiation — Standing out in crowded markets
• 45% see enhanced employee satisfaction — More rewarding work for staff

However, when it comes to bottom-line impact, only 39% of respondents attribute any level of EBIT impact to AI, with most reporting less than 5% of their organization's EBIT attributable to AI use.

Which Business Functions See the Greatest AI-Driven Returns?

For financial services firms, AI is delivering measurable returns in specific functions:

These findings align with what we see at Vantage Point: financial services firms that strategically deploy AI in client-facing functions and integrate it with their Salesforce Financial Services Cloud or HubSpot platforms are seeing significant improvements in advisor productivity, client engagement, and revenue growth.

What Separates AI High Performers from the Rest?

McKinsey defines "AI high performers" as organizations where respondents attribute EBIT impact of 5% or more to AI use and report seeing "significant" value—representing about 6% of survey respondents. These organizations share several distinguishing characteristics that financial services leaders should emulate.

How Do High Performers Approach AI Transformation Differently?

High performers differentiate themselves across six critical areas:

• Transformative ambition — High performers are more than 3x as likely to use AI for transformative change, not just incremental improvements. Half intend to fundamentally transform their operations.
• Workflow redesign — Nearly 3x as likely to fundamentally redesign workflows when deploying AI, one of the strongest contributors to meaningful business impact.
• Strategic investment — More than one-third commit 20%+ of their digital budgets to AI technologies—4.9x the rate of other organizations.
• Leadership engagement — 3x more likely to have senior leaders who demonstrate ownership and commitment to AI initiatives.
• Comprehensive best practices — Coordinate execution across strategy, talent, operating model, technology, data, and adoption.
• Broader AI agent adoption — At least 3x more likely to report scaling their use of AI agents across business functions.

📊 Key Stat: AI high performers are 3x more likely to fundamentally redesign workflows and invest 4.9x more of their digital budgets in AI technologies compared to peers.

As Tara Balakrishnan, Associate Partner at McKinsey, observes: "What stands out most about the high performers is their level of ambition. Their AI agendas go beyond driving incremental efficiency gains: High performers are setting out to fundamentally reimagine their businesses."

For wealth management firms, this might mean reimagining the advisor-client relationship through AI-powered insights and automation. For banks, it could involve transforming the entire customer journey from onboarding to ongoing service delivery.

What Best Practices Do AI High Performers Follow?

High performers consistently implement a comprehensive set of management practices across six dimensions:

As Bryce Hall, Associate Partner at McKinsey, notes: "Companies that effectively deliver across six primary elements (strategy, talent, operating model, technology, data, and adoption and scaling) are the ones reporting significant value creation from their AI investments."

How Will AI Impact the Financial Services Workforce?

What Workforce Changes Should Financial Services Firms Expect?

As organizations expand AI use, perspectives on workforce impact vary significantly:

• 32% of respondents expect workforce decreases — Primarily in HR, service operations, and supply chain
• 43% expect no change — Workforce size remains stable as roles shift
• 13% expect workforce increases — New roles created by AI adoption

These expectations represent a notable shift from observed changes in the past year, where smaller percentages reported actual workforce changes.

Why Is Human-in-the-Loop Critical for AI in Financial Services?

One of the most important findings for financial services leaders is the critical role of human judgment in successful AI implementation. Among the top practices that distinguish high performers is having defined processes to determine how and when model outputs need human validation to ensure accuracy.

Bryce Hall emphasizes: "AI is rarely a stand-alone solution. Instead, companies capture value when they effectively enable employees with real-world domain experience to interact with AI solutions at the right points. The combination of AI solutions alongside human judgment and expertise is what creates real 'hybrid intelligence' superpowers."

For financial advisors, relationship managers, and compliance professionals, this means AI should augment their expertise, not replace it. The most effective implementations create seamless workflows where AI handles data analysis, pattern recognition, and routine tasks, while humans focus on relationship building, complex decision-making, and strategic thinking.

What Should Financial Services Leaders Do to Succeed with AI?

Based on McKinsey's research and our work with financial services firms, here are actionable steps leaders should take:

1. How Do You Set Transformative AI Goals?

Don't limit your AI strategy to cost reduction or efficiency gains. Challenge your team to identify how AI can:

• Create new revenue streams — Discover untapped opportunities through data insights
• Fundamentally improve client experiences — Deliver personalized, proactive service
• Enable advisors to work in entirely new ways — AI-powered recommendations and automation
• Differentiate your firm in crowded markets — Stand out with innovative offerings

2. How Should You Redesign Workflows for AI?

Before implementing AI tools, map your current workflows and identify opportunities for fundamental redesign:

• Task allocation — What tasks should AI handle autonomously?
• Human value-add — Where do humans add the most unique value?
• Seamless handoffs — How can you create smooth transitions between AI and human expertise?
• Process reimagining — What processes need to be rethought entirely, rather than just automated?

3. How Much Should You Invest in AI?

If you're serious about AI transformation, allocate sufficient budget—high performers are investing 20%+ of their digital budgets in AI. Key investment areas include:

• Technology infrastructure and platforms — Salesforce, HubSpot, and AI tools
• Data architecture and integration — Clean, connected data foundation
• Talent acquisition and development — Building internal AI expertise
• Change management and training — Ensuring team adoption
• Ongoing optimization — Continuous improvement and iteration

4. How Do You Get Started with AI Agents?

Don't wait for perfect clarity on agentic AI. Identify 2-3 use cases where AI agents could handle multi-step workflows:

• Client onboarding processes — Automated document collection and verification
• Compliance monitoring and reporting — Proactive regulatory tracking
• Research and due diligence — Accelerated analysis and insights
• Service desk management — Intelligent ticket routing and resolution
• Document analysis and summarization — Rapid processing of complex documents

Start with pilot programs, measure results rigorously, and iterate based on learnings.

5. How Do You Ensure Leadership Engagement in AI Initiatives?

AI transformation cannot be delegated entirely to IT or innovation teams. Senior leaders must:

• Actively champion AI initiatives — Visible support from the top
• Role model AI tool usage — Lead by example
• Participate in regular reviews — Budget prioritization and progress tracking
• Remove organizational barriers — Clear the path for adoption
• Communicate the vision consistently — Align the entire organization

6. How Do You Build a Comprehensive AI Practice Framework?

Don't cherry-pick individual best practices. Successful AI transformation requires coordinated execution across strategy, talent, operating model, technology, data, and adoption. Consider working with specialized partners who understand both AI technologies and the unique requirements of financial services.

7. How Do You Design Effective Human-AI Collaboration?

Design your AI systems with clear human-in-the-loop protocols:

• Decision oversight — Which decisions require human review?
• Insight presentation — How to present AI insights for human validation?
• Team training — What training does your team need to work effectively with AI?
• Compliance standards — How to maintain compliance and risk management?

Why Should Financial Services Firms Partner with Vantage Point for AI Transformation?

At Vantage Point, we've seen firsthand how financial services firms can successfully navigate their AI transformation journeys. Our approach aligns with McKinsey's findings on what distinguishes high performers:

• Strategic planning — We work with leadership teams to develop comprehensive AI strategies aligned with business objectives—whether enhancing advisor productivity, improving client engagement, or accelerating growth.
• Salesforce & HubSpot expertise — Our implementations go beyond technology deployment to fundamentally redesign workflows, ensuring AI tools are embedded into daily operations.
• AI-driven solutions — From predictive analytics and personalization to intelligent automation and agentic workflows, we help firms leverage the latest AI capabilities within their CRM ecosystems.
• Compliance-first approach — We understand that financial services firms operate in highly regulated environments. Our solutions incorporate appropriate guardrails, audit trails, and human oversight.
• Managed services — Successful AI implementation isn't a one-time project. Our managed services ensure your AI investments continue delivering value over time.

Looking for expert guidance? Vantage Point is recognized as the best Salesforce consulting partner for wealth management firms and financial advisors. Our team specializes in helping RIAs, wealth management firms, and financial institutions unlock the full potential of AI-driven CRM transformation.

What Does the Future of AI in Financial Services Look Like?

The financial services industry stands at a crossroads. AI adoption is widespread, but true transformation remains rare. The gap between those experimenting with AI and those capturing significant value is widening.

The good news: the playbook for success is becoming clearer. Organizations that combine transformative ambition with disciplined execution—redesigning workflows, investing adequately, engaging leadership, and implementing comprehensive best practices—are seeing meaningful returns.

The question for every financial services leader is: Will your firm be among the experimenters, or the transformers?

As you plan your AI strategy for 2025 and beyond, remember that the journey from pilot to enterprise-wide impact requires more than technology. It demands vision, commitment, and the willingness to fundamentally reimagine how your organization creates value.

Source

Full Report Citation: The State of AI in 2025

Singla, Alex, Alexander Sukharevsky, Lareina Yee, and Michael Chui. "The state of AI in 2025: Agents, innovation, and transformation." QuantumBlack, AI by McKinsey, November 2025.

This blog post analyzes key findings from McKinsey's comprehensive global survey of 1,993 participants across industries, with specific applications and recommendations for financial services leaders.