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Concerns about workforce and data readiness are commonly cited for artificial intelligence (AI) initiatives failing to substantially boost company bottom lines, but a recent survey of nearly 1,000 business leaders revealed an unexpected leading cause — and a lack of response to that cause.

Here’s what it takes to prepare a private company for sale.

So far, organizations are more likely to license general-purpose AI tools than compensation-specific ones to help with pay benchmarking.

As the class of 2026 prepares to enter the workforce, new research from talent solutions and business consulting firm Robert Half reveals what today's professionals say matters most for early career success. According to a survey of more than 1,300 experienced workers, 36% believe new job seekers should be prepared to demonstrate knowledge of AI tools when applying to roles and 37% caution against using AI to overstate skills or experience.

But full-scale “cultural integration” is likely to take much longer, according to a survey by consulting firm RGP.

Fewer than one in four employees are confident their current job is safe, according to a global survey. Worker engagement is tied to development opportunities, which are inconsistent across age groups.

Counter to headlines about tech-driven layoffs, companies are backing away from human capital budget reductions due to the growing need for AI skills.

Lexy Kessler admits to feelings of self-doubt when she took center stage at AICPA Council last May to be officially introduced as AICPA chair.

As artificial intelligence (AI) reshapes hiring, organizations are finding it more difficult — and time-consuming — to identify skilled talent. A survey from talent solutions and business consulting firm Robert Half found that 67% of U.S. HR leaders say reviewing AI-generated applications has slowed the hiring process, with 20% reporting delays of more than 2 weeks.

An agreement between professional accounting bodies in North America’s three largest countries will extend cross-border practice mobility for CPAs through the end of 2028.

As entry-level tasks are automated, the focus of training will shift to judgment, simulation, and continuous upskilling.

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.

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.

Opportunities for finance professionals interested in pursuing a CFO role increased year over year at Fortune 500 and S&P 500 companies in 2025, including a spike in the percentage of companies hiring CFOs internally.

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

A number of provisions in President Donald Trump’s blockbuster bill to enact his second-term agenda will go into effect throughout the year.

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.

A notice of proposed rulemaking (NPRM) clarified the Department of Education’s proposed definition of professional degrees for the purposes of graduate student loan limits.