News

The Association of International Certified Professional Accountants (AICPA and CIMA), in partnership with North Carolina State University’s Enterprise Risk Management (ERM) Initiative, has released a global study examining how executives perceive the opportunities and risks of artificial intelligence (AI) across regions, industries, and organizational sizes. The survey, including responses from 1,735 executives across eight regions and eight industries, points to an increasingly uneven AI landscape across the enterprise: while a subset of “AI‑Transformed Entities” is capitalizing on strategic gains, most organizations lack the talent, systems, and governance capabilities required to deploy AI effectively.

Fewer taxpayers say they would consider trusting artificial intelligence (AI) over hiring a tax professional to file their taxes this year compared with 2025, and the percentage slipped across all generations, according to the second annual U.S. Tax Filing Report by an invoice automation company.

In the early days of artificial intelligence reshaping the way employees work, many find themselves facing a greater workload rather than a lessened one, according to a survey.

Finance leaders are poised to limit pay and headcount increases throughout 2026 while expanding investment in artificial intelligence and other technologies, according to a recent survey.

By definition, agentic artificial intelligence can execute complex tasks with little to no human oversight.

In today’s digital-first business environment, trust extends far beyond financial statements. Organizations must now safeguard the systems, data, and technologies that power operations, protect sensitive information, and sustain stakeholder confidence.

Companies can’t continue training people for a world we’re leaving behind, but as artificial intelligence (AI) further takes hold, companies also can’t afford to leave people behind.

This article looks at risks around AI, including generative AI — crossing technological, economic, human, and environmental lines.

A report on the challenges facing audit committees as they convene during busy season placed technology disruption and AI integration risks atop a list of risks standing between organizations and their financial targets in 2026.

Organisations are capturing speed through AI, but much of the reclaimed time is spent correcting or rewriting low-quality AI output, a global report says.

On paper, confidence appears to be rising among CFOs at large North American companies. Beyond the paper trail, that confidence appears to be buoyed by belief in the transformative power of technology.

The financial close process is a cornerstone of organizational performance, yet it remains one of the most resource-intensive and error-prone activities. While technology and process optimization have been widely adopted to accelerate close cycles, the human element – how teams are organized and deployed – often determines success.

But in an apparent contradiction, most finance chiefs expect the AI value equation to change quickly.

Eighty-eight per cent of finance professionals believe AI will be the most transformative tech trend over the next 12 to 24 months. Yet only 8% feel their organisations are “very well prepared” to manage it, a new AICPA and CIMA survey shows.

When calculators arrived they said they would dumb us down. While the similar panic over artificial intelligence is understandable, we need to learn to embrace and harness it, says Kevin Phillips.

Business owners spent the majority of 2025 dealing with inflation, tariffs, a labor market made flush by mass layoffs, funding accessibility, a federal government shutdown, and a single piece of legislation that had widespread tax implications.

They say politics makes strange bedfellows, but what would it take to bring together Sen. Richard Blumenthal of Connecticut and Senate Republican Josh Hawley of Missouri? AI chatbots, it seems.

Organisations using AI to redesign workflows at an enterprise level achieve higher customer satisfaction and profitability than companies fixed on efficiency.

When it comes to using AI tools, generationally diverse teams are more productive, a new report found. But training for Gen Z employees outpaces opportunities for older generations to upskill.

The rise of artificial intelligence (AI) to power businesses is real — and so are the associated risks.