Finance trends 2027

Shaping the next era of enterprise value

For finance leaders, responsibility now runs in two directions: inward to the function and outward to the enterprise. What was once a mandate to steer financial performance now reaches the decisions influencing where the business invests and how value gets created.

This broader role is taking shape at a time when decisions are getting harder to make. Economic uncertainty and trade disruption are making the path forward less predictable, while the cost of AI is becoming a bigger part of the investment conversation.

To make better calls in this environment, finance leaders will need the foundations to move quickly without losing discipline. Here are the five trends set to shape the year ahead. 

Trend 1 | An expanding mandate: Tech investment and deployment strategies can place finance leaders at the centre of enterprise decision-making

As we look forward to 2027, innovation-led transformation will be central to the finance agenda. Organizations will increasingly look to finance leaders for guidance even when the answers are not yet clear.  

As AI adoption expands, finance will need to help address four fundamental questions:

• What are the current costs and expected benefits of AI investments? 

• Where should the organization invest, and in what sequence?

• Is the organization's data ready, and who will own and govern its use? 

• How will the reliability of each use case be assessed, and what level of reliability is required?

These questions place finance leaders at the intersection of strategy, performance, investment, and risk. They are also shifting familiar accountabilities into new mandates, including enterprise-wide technology capital allocation, oversight of AI spending, trustworthy AI, and cost control.  

Measuring return on AI investment remains difficult, but finance's expertise in business cases, performance measurement, and governance creates an opportunity to influence critical value-creation decisions. But AI isn’t the only source of uncertainty. Persistent cost pressures, tariff concerns, and geopolitical tensions are increasing demand for timely financial data, forecasts, and capital reallocation. Near-term priorities for finance leaders are clear: strengthen data and technology foundations, redesign how finance work is done, and build talent models that can turn AI-enabled insight into action.

Greater agility in finance will depend on modern infrastructure, unifying data, and easier access to trusted information. Just as important, finance teams will need the right AI literacy skills to turn that foundation into stronger insights.   

Trend 2 | Human-led, AI-powered: Finance as the hub of trusted intelligence

Much of the AI discussion amongst Canadian finance teams so far has focused on workflow efficiency. But scaling AI will depend just as much on people as it does on technology. Before organizations can scale AI and agentic solutions, they’ll need stronger controls, greater trust in output quality, and broader capabilities in change management, data science, and engineering. 

Modern infrastructure, unified data, and easier access to trusted information will be essential. Equally important is AI literacy: finance professionals must be able to challenge outputs, apply judgement, and translate insights into practical business decisions.

Trend 3 | Finance’s next AI challenge: Managing costs at scale

As AI costs become harder to forecast, allocate and govern, finance leaders are facing a new set of management challenges. Token consumption is only one driver, with workload demands, infrastructure capacity, and hosting choices all affecting how costs grow and fluctuate. Below are three actions finance leaders can take to bring more predictability to spend:

• Set guardrails around experimentation. Create visibility into the tools, data sources, use cases, and workflows being tested so that pilots do not create unmanaged costs when moved into production. 
• Model vendor exposure before pricing changes. Assess strategic terms, data-access rights, and renewal risk as early-adoption credits expire, subsidies decline, and pricing models evolve.
• Plan for revenue scenarios. As AI costs rise, shift the focus beyond productivity gains toward revenue generation and measurable enterprise value.

Trend 4 | The geographic complexities of investment strategies: How tech sovereignty may drive new choices across the globe

While human capital and cost pressures lead internal risk discussions, external cyber threats, AI risks, economic uncertainty, and geopolitical tensions are also reshaping investment strategies. 

For Canadian organizations, technology and data sovereignty are becoming more important considerations in technology-related capital allocation. While they can strengthen trust, resilience, and long-term value, evolving national AI strategies and regulation are adding another layer of uncertainty to investments.

Trend 5 | Rethinking the funding playbook: The fragmented process of deciding what to fund and how to fund it

Waiting for complete certainty on AI investments is not a winning strategy. Forward-looking finance leaders are redesigning decision frameworks and investment approval processes so organizations can move quickly without losing purpose. To make these calls with greater confidence, funding decisions should test five dimensions: strategic fit, economic value, risk appetite, operational feasibility and alignment, and non-financial performance indicators that create accountability after an idea is funded.

Whether through revised business cases or innovative funding models, finance is being asked to make technology investment more flexible and timely while maintaining strong controls and data-driven accountability. These approaches can help organizations move forward without sacrificing discipline.

The implication for 2027 is clear: Finance leaders will likely need to look beyond optimizing their own function and play a more strategic and cross-functional role across the enterprise, helping determine where to place the next bets and how to keep value creation at the centre of every move.  

Methodology

Deloitte’s 2027 Finance Trends survey polled 1,434 finance leaders across 26 countries in spring 2026. Respondents included both CFOs and senior finance leaders one level below the CFO, representing a cross-section of industries and sectors. All respondents work at organizations with annual revenues of US$1 billion or more. 

To better understand how these trends are unfolding, we conducted in-depth interviews with 12 finance executives from organizations across the United States, Canada, Brazil, Switzerland, and India.