The CFO Guide to 2026 Human Capital Trends

Competitive advantage starts with the human edge

Deloitte’s 2026 Global Human Capital Trends explores a competitive advantage driven by cultivating the human edge. Most organizations are focusing solely on technology. But organizations taking this approach are 1.6 times more likely to not realize returns on AI investments that exceed expectations compared to those that take a human-centric approach. Additional research suggests that those leading in intentional human-AI work design are nearly 2.5 times more likely to report better financial results. Humans create competitive differentiation through adaptivity, creativity, and judgment amiduncertainty and change.

The human capital decisions CFOs make will determine whether AI becomes a force multiplier or an expensive missed opportunity. Value is unlocked through a reimagination of work that brings the best of humans and machines together in concert. Our guide offers finance-specific insights on how leaders can effectively foster human-AI collaboration to build a workforce that can learn, adapt, and reinvent in real time. 

Trend 1: Getting human and machine relationships right

Many organizations are still designing work for people and technology separately. It’s human-to-human relationships and machine-to-machine workflows. This lack of intentionality is leaving many organizations struggling to realize value from AI. That’s because layering AI onto legacy systems and processes only drives incremental improvement rather than reimagining how humans and AI interact, collaborate, and make decisions. But in a world where access to AI is rapidly democratizing, technology alone is no longer a differentiator—people are.

Why CFOs should care about human-AIcollaboration

In our Q4 2025 CFO Signals survey, 87% of CFOs predict AI adoption in the finance function will be extremely or very important—likely shifting the work of humans, not replacing it. Headcount may even increase, as tech talent fuses with finance talent. In Deloitte’s Finance Trends 2026 report, 64% of CFOs and finance leaders surveyed chose at least one technical skill as a development priority. With finance responsible for the financial data integrity of the enterprise, AI agents will also require substantial human oversight. The strongest path to success and investment value starts with prioritizing human-AI collaboration.

Trend 2: Fact or fabrication? AI is blurring the line when it comes to people and work

In the age of AI, it’s hard to know what is true, relevant, or meaningful about people and work. The real challenge is not only technical but also foundational: preserving meaning, authorship, and accountability in an age of synthetic intelligence. Organizations that don’t address these shifts may erode the foundations of human judgment and organizational culture. Overreliance on AI without oversight could lead to decisions that are efficient but unethical, fast but unfair, measurable but not meaningful.

Why CFOs should care about human oversight of AI

Financial data sets are among the most sensitive and valued enterprise assets—as are the teams and technology that produce the data. Trust and vigilance to quality reporting are paramount. The probabilistic nature of AI may lead to hallucinations that need human oversight. Outputs require nuance and context for validation. As AI can create information quickly and on demand, companies that ensure its credibility will likely gain an edge in the future of finance.

Trend 3: AI and the future of human decision-making 

Decision-making must be elevated as a discipline. Finance teams need to know how to assess AI outputs to drive more agility in decision-making. That capability is critical to operating nimbly in a dynamic marketplace. Without this approach, organizations risk falling behind. Because while technology can accelerate analysis and clarify uncertainty, it can’t replace human purpose, values, and judgment.

Why CFOs should care about AI in decision-making

Finance will use technology for enterprise-wide decisions. As confidence in AI grows, however, it may be tasked with more material decisions. This raises risks related to understanding how the algorithms work and the ability to explain decisions to stakeholders. Furthermore, finance needs to be aware of how intellectual property and data are protected as competitive differentiators. In Finance Trends 2026, AI leaders and peers who moved early on AI adoption in finance note data security among their top concerns. As AI in decision making grows, finance leaders must ensure the human-in-the-loop stays accountable and align human and technology roles to their strengths.

Trend 4: Dealing with AI’s cultural debt

AI may be creating an unnoticed, steady accumulation of negative cultural behaviors. Faced with more urgent matters, organizations may accumulate “cultural debt.” But those that intentionally nurture and evolve their cultures can gain a lasting competitive edge. As culture becomes a competitive advantage, organizations that shape and deploy it to harness AI’s potential are likely to drive better outcomes.

Why CFOs should care about shaping their culture

AI heralds potentially disruptive changes for the finance function—which can breed opportunity. Leaders should seek to cultivate a pioneering spirit among the workforce, a willingness to experiment, and an embrace of new methods to deliver results. The CFO’s role as chief finance talent officer becomes even more critical. In our 2026 examination of the finance workforce, leaders report prioritizing digital upskilling and technology integration. They proactively engage with their workforce, spotlight best practices, and lead with transparency. Companies that focus on their human edge, not just technology differentiation, will be more likely to realize their AI investments.

Trend 5: The orchestration advantage

AI can enable quick intent-to-action. But turning speed into competitive advantage may depend on learning to orchestrate capabilities and capacity in real time. Where organizations once made trade-offs among speed, quality, and cost, AI can improve all three at once. But the key is fluidly orchestrating people, skills, data, and technologies around business-critical outcomes—continuously sensing, assembling, and recombining the right elements as needs evolve.

Why CFOs should care about working across functions

Finance may have an opportunity to extend its influence. More than half of survey respondents in Finance Trends 2026 say they are now among the top leaders shaping strategy across the organization. Future scenario planning will increasingly rely on financial insights, investment calculations, internal governance, and data security—all areas in which finance is suited to lead. To do so, finance will need to work fast, nimble, and more closely across functions such as human resources (HR), legal, manufacturing, and information technology (IT). By leveraging the financial insights that AI can provide, finance can unlock new cost optimization angles, possibly stronger and more robust supply chains, real-time and timely investor communications, and more.

Trend 6: Have organizational functions outlived their function? 

Corporate functions like finance were originally designed for dependability, efficiency, and specialization. These days, they may be misaligned with the dynamic, multidisciplinary needs of modern organizations. Rather than clinging to rigid silos, leaders have an opportunity to deconstruct traditional corporate functions and reassemble their capabilities around human and business outcomes and in ways that provide greater fluidity, agility, and cohesiveness. Doing so may position organizations to act as dynamically as the world around them and create new roles and career paths for those who do their essential work.

Why CFOs should care about looking beyond finance

As AI makes real-time, data-rich financial insights widely available, they become indispensable to a company in all functional areas. We may see the role of the CFO morph into more of a chief operating officer that includes elements of finance, IT, HR, supply chain management, research and development, and more. It is a gray area, but one that finance leaders can own by looking beyond their functional areas, engaging in blue-sky thinking, and embracing workforce strategies that embrace human-AI collaboration.

Trend 7: Staying relevant in a world that won’t sit still 

As AI continues to learn, humans need to follow suit. Instead of pushing out content to workers in hopes they’ll absorb it, AI is now enabling workers to sense, practice, and apply new ways of doing things directly in the workflow itself. Organizations should shift focus from control to curiosity, and from training to experimentation. Where change and disruption are constant, the greatest source of competitive advantage may just be the ability to adapt in real time.

Why CFOs should care about continual learning

Today’s finance workforce faces constant change. AI has the potential to disrupt, but not replace, most finance functions. Companies must make intentional, strategic choices about how AI will impact work. Preparing workers for change and continual learning can help in navigating the future. Given finance’s sensitive nature, leaders must balance embracing experimentation with adhering to guardrails while actively engaging employees in the process. In a world of AI-augmented and agent-driven work, companies might shift performance management evaluations to output, impact, and outcomes rather than effort. When workers have a say in the use of new technology, they can buy into process, develop trust, generate new ideas, and ultimately stay relevant.

Stewarding a more human future of finance

• Technologies like AI will continue to evolve, but the future will likely be shaped less by the tools alone than the judgment, values, and courage we bring to the decisions.
• As the owners of financial data integrity, finance is well poised to expand its influence on the enterprise. However, AI adoption in finance must also consider the human impact to yield the value organizations expect.
• The future will be written by leaders who embrace human-AI collaboration.