The CFO guide to 2026 Human Capital Trends

Many organisations still design work for people and technology separately, layering AI onto legacy systems rather than reimagining how humans and machines interact. Research shows 84% of organisations are not redesigning work and roles for AI, while 59% take a purely technology-focused approach. Yet only 14% of leaders say they are adept at shaping human-machine interactions. This approach typically drives incremental improvement. Success comes from clearly designing how people and AI work together, with clear roles.

AI makes it increasingly difficult to know what information or content is real and what is AI hallucination. Nearly half of executives worry AI could introduce false data. For organisations managing sensitive or commercially valuable information, trustworthy data becomes a competitive advantage. CFOs should verify that internal controls and financial reporting processes reflect AI's growing role in producing the numbers.This creates a clear issue: organisations cannot simply automate their way to competitive advantage. They must invest where humans create irreplaceable value. Organisations that succeed will not be those that automate fastest, but those that channel efficiency into reinvestment, fuelling new forms of value creation and worker performance.

This means evolving functions to be fit-for-purpose, investing in innovation, and prioritising growth through adaptability rather than simply reducing expense.

Organisations should treat decision-making as a professional discipline in its own right. 60% of executives now regularly use AI to support decisions, yet only 52% regularly verify the quality of AI outputs, creating significant operational and reputational risks. Organisations must establish documented policies for which AI-generated outputs require human validation and maintain clear accountability for verification and for the decisions that follow. CFOs must consider how AI informs decisions, who owns the outcomes, and whether audit committees are briefed on AI's role in financial reporting. Technology can accelerate analysis and clarify uncertainty, but it cannot replace human purpose, values, and judgment.

When organisations prioritise technology deployment over cultural evolution, negative behaviours can build up quietly. 42% of workers report their organisations are not evaluating AI's impact on people, while 65% believe their work culture needs to change significantly to address AI's implications. Leaders should encourage experimentation and be transparent about how AI changes work, while maintaining oversight over the direction of that movement. Like financial or technical debt, cultural debt accrues silently and compounds, eventually surfacing as attrition, disengagement, and stalled AI adoption, all of which carry measurable costs. CFOs can partner with Chief People Officers to quantify and track this exposure, using indicators such as turnover in AI-affected roles, engagement scores, and adoption rates. Organisations that focus on developing their human edge are more likely to encourage positive AI usage and improve the employee experience. 

It is possible for AI to improve speed, quality, and cost at the same time, but it requires organisations to develop coordination capabilities. Organisations focusing on internal orchestration are twice as likely to report better financial results. For resource-constrained organisations, this requires disciplined prioritisation. First, they must identify and prioritise AI investments in process areas that deliver the greatest business value. Second, they must build the real-time performance signals needed to make credible resource allocation decisions.

Approximately half of respondents say corporate functions need reinvention in both capability and mission. Traditional silos are creating inefficiency and misalignment. As AI makes real-time financial insights widely available, finance leaders have an opportunity to extend their influence beyond their function, working more closely across human resources, operations, and technology to drive strategy. The CFO's role is evolving to integrate elements of IT, HR, supply chain, and R&D into financial leadership, positioning finance as a strategic partner that shapes enterprise-wide decisions in real time, rather than solely reporting on them.

Only 27% of organisations manage change effectively, and only 8% believe they are meeting continuous learning needs. Poorly managed change damages wellbeing, increases workloads, and erodes engagement. When workers feel they have a say in how new technology is deployed, they develop trust and buy into the process. CFOs must shift performance management from effort to outcomes, judging finance teams by the quality and speed of the decisions they enable rather than hours worked.