The AI Shift in Professional Services: What Businesses Need to Know in 2026

For professional services firms, the AI question has changed.

It is no longer simply:

“Should we use AI?”

The more important questions are now:

Where should AI be embedded? What should it change? How should it be governed? And what value should it create?

That shift is visible across legal, tax, accounting, risk, consulting and other knowledge-intensive professional services.

Thomson Reuters' 2026 AI in Professional Services Report, based on more than 1,500 professionals across 27 countries, found that organization-wide generative AI use nearly doubled from 22% in 2025 to 40% in 2026. More than 80% of current users engage with GenAI weekly, while more than 90% expect it to become central to their workflows within five years.

The early adoption phase is giving way to something more consequential:

AI is becoming part of how professional work gets delivered.

Here are the major shifts businesses need to understand.

1. AI adoption in professional services has reached a new stage

The biggest change is the move from experimentation to regular use.

Thomson Reuters reports that 40% of organizations in its professional-services research now use GenAI, compared with 22% the previous year. Only 19% said their organizations had no plans to adopt it.

That is an important milestone.

But adoption alone does not mean transformation.

A professional using AI to summarize a document is useful.

A firm redesigning its document-review workflow so AI handles initial analysis while professionals focus on review and judgment is much more significant.

The distinction is becoming increasingly important:

AI usage = using the technology.

AI transformation = changing how work gets done because of the technology.

For professional services firms, the second is where the larger opportunity lies.

2. AI is moving into the professional workflow

Professional services are knowledge-intensive businesses.

Much of the work involves:

• Research
• Document analysis
• Drafting
• Summarization
• Client communication
• Data interpretation
• Compliance
• Reporting
• Knowledge retrieval
• Repetitive administrative work

These are precisely the types of activities where generative AI can provide leverage.

Thomson Reuters reports that more than 80% of current GenAI users engage with it weekly, while more than 90% expect it to become a central part of their workflow within five years.

This suggests a transition from AI as an optional tool to AI as part of the working environment.

That change has a practical consequence.

Firms will increasingly need to design workflows around the capabilities of AI rather than simply give employees access to another application.

3. Agentic AI could take the next step: from assistance to execution

Generative AI primarily helps professionals create and understand information.

Agentic AI aims to go further by enabling systems to perform sequences of actions toward a defined objective.

For a professional services firm, imagine a client onboarding workflow:

Client enquiry → Information collection → Document classification → Missing-document identification → CRM update → Team assignment → Appointment scheduling → Follow-up

Today, many of these steps may involve different people, applications and manual handoffs.

An agentic workflow could potentially coordinate several of these steps while keeping human professionals involved where judgment, approval or accountability is required.

The technology is still at an earlier stage than GenAI.

Thomson Reuters found that 15% of respondents said their organizations were already using agentic AI, while another 53% said they were planning or considering it. By 2030, 77% expect agentic AI to be central to their workflow.

This means professional services firms should not think of agentic AI simply as “the next chatbot.”

It has the potential to change how workflows are executed.

4. Clients are starting to expect AI-enabled services

AI is also changing the expectations of the people buying professional services.

According to Thomson Reuters' Future of Professionals Report 2026, 78% of corporate clients say receiving AI-enabled quality improvements from their professional services providers is very important or essential.

Yet only 6% say most or all of their providers are currently delivering that experience.

That creates a growing gap between:

What clients expect

and

What firms currently deliver.

The implications extend beyond technology.

Clients may increasingly expect:

• Faster turnaround
• Better access to information
• More responsive communication
• Greater transparency
• Smarter document workflows
• More proactive insights
• Consistent digital experiences
• Technology-enabled efficiency

AI therefore becomes part of the client experience, not just an internal productivity tool.

5. ROI is becoming one of the biggest questions

Professional services firms have spent considerable time exploring what AI can do.

The next question is harder:

Is it actually creating measurable value?

Thomson Reuters found that only 18% of respondents said their organizations track AI ROI, while another 40% did not know whether ROI was being measured.

This is a significant gap.

A firm may have hundreds of employees using AI and still struggle to answer:

How much time are we saving?

Which workflows have improved?

Has client service improved?

Has capacity increased?

Has revenue changed?

Has the cost of delivery fallen?

The firms that move beyond experimentation will increasingly need a measurement framework.

AI initiatives should be connected to business outcomes such as:

Time saved → Capacity created → Service improved → Revenue protected or created

6. The future of professional services is likely to be human + AI

AI is changing professional work, but that does not mean expertise becomes irrelevant.

In many professional services environments, the value of the human professional lies in:

• Judgment
• Accountability
• Client relationships
• Context
• Ethics
• Communication
• Negotiation
• Strategic thinking
• Complex decision-making

PwC's 2026 Global AI Jobs Barometer found that the skills required for the most AI-exposed jobs are changing more than twice as fast as those in the least-exposed jobs. It also found that AI-exposed junior roles are increasingly demanding traditionally senior skills such as judgment and leadership.

This suggests an important shift.

AI may increasingly handle more of the routine work surrounding expertise, while professionals spend more time applying that expertise.

The winning model is therefore unlikely to be:

AI versus professionals

It is more likely to be:

AI amplifying professionals.

7. Professional services business models may also change

The impact of AI extends beyond individual tasks.

If AI allows a professional to complete work faster, firms may eventually need to reconsider how they price and package their services.

Deloitte's 2026 research into the legal sector, for example, identifies growing pressure around automation, insourcing and law-firm pricing models as AI changes how legal work is delivered.

This raises broader questions for professional services:

Should clients continue paying primarily for hours?

Should firms charge for outcomes?

Can AI-enabled services be delivered continuously rather than through periodic engagements?

Can expertise become more scalable?

These questions will not be answered overnight.

But the economics of professional work are beginning to change.

8. The biggest challenge may not be AI capability—it may be execution

Professional services firms now have access to increasingly capable AI systems.

The harder challenge is putting them to work effectively.

Thomson Reuters' Future of Professionals Report 2026 found that 34% of professionals use AI tools that their organizations have not sanctioned, highlighting the emergence of “shadow AI” as adoption moves faster than governance.

The same report found a significant gap between having an AI strategy and making that strategy visible in everyday work.

This creates a familiar transformation problem:

Strategy without workflow change does not create operational change.

Firms need to think about:

People + Process + Technology + Governance

not technology alone.

What Professional Services Firms Should Do Now

The 2026 landscape does not mean every firm needs to deploy AI agents immediately.

A more practical approach is to build the foundation first.

1. Map high-volume workflows

Identify where professionals spend significant amounts of time on repetitive work.

2. Identify AI-ready activities

Look for processes involving research, drafting, summarization, classification, communication and information retrieval.

3. Connect AI to the workflow

Do not stop at giving employees access to an AI assistant.

Determine how AI should interact with the firm's existing systems, data and processes.

4. Keep human judgment where it matters

Define which activities AI can perform independently and which require professional review or approval.

5. Establish governance early

Set rules for data access, confidentiality, acceptable use, monitoring and accountability.

6. Measure business outcomes

Track metrics such as:

Time saved

Turnaround time

Client response time

Capacity per professional

Client satisfaction

Revenue per employee

Cost of delivery

AI-assisted work completed

The goal is not to prove that a firm is using AI.

The goal is to prove that AI is improving the business.

The Professional Services AI Shift Is Already Underway

The most important development in 2026 is not the arrival of another AI model.

It is the gradual restructuring of professional work around AI.

Generative AI is becoming embedded in everyday workflows.

Agentic AI is beginning to move from experimentation toward practical deployment.

Clients are starting to expect AI-enabled service.

Firms are confronting questions around ROI, governance, talent and pricing.

And the gap between using AI and transforming with AI is becoming increasingly important.

For professional services firms, the strategic question is no longer simply:

“How do we adopt AI?”

It is:

“How should our firm operate differently because AI exists?”

That is where the next phase of professional services transformation will be decided.

Continue reading

• The State of AI in Business: What 2026 Trends Mean for Companies
• Where Should Your Business Use AI First?
• Before You Automate: Redesign the Workflow First
• AI Automation
• Digital Transformation

If you are deciding where AI belongs inside your operations, talk to ShriJan DigiTech or explore how we work.

Sources and further reading

• Thomson Reuters — 2026 AI in Professional Services Report
• Thomson Reuters — 2026 AI in Professional Services: Adoption & Business Impact
• Thomson Reuters — Future of Professionals Report 2026
• PwC — 2026 Global AI Jobs Barometer
• PwC — AI Performance Study 2026
• Deloitte — AI Imperative: Reshaping the Legal Industry
• Deloitte — AI and Legal Work, Pricing & Careers in 2026

Editorial Note

This should be positioned as ShriJan DigiTech's analysis of the 2026 professional-services AI landscape, not as a summary of one report.

The article combines evidence from multiple current sources and then adds the business interpretation. That distinction is important for the Insights strategy: Type A explains what is changing in the industry; ShriJan DigiTech interprets why it matters. This follows the evidence-led Type A model in your master framework.