News

Far from lagging behind their larger peers, our special editorial report in association with Sage, State of the nation: AI in accountancy and bookkeeping, shows that small firms are agile enough to make the most of the AI revolution.

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.

Private equity can open doors, but it’s not the only way to scale. Paul Randall, managing partner at RPGCC, shares his view on investment readiness, deal pressure and why independence still works for some firms.

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.

Schellman is the latest large firm to execute a flip within its private-equity-driven ownership model.

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.

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.

The AICPA on Monday launched the Profession Ready Initiative, a research-backed project focused on identifying and helping to develop the evolving set of skills that emerging and early-career CPAs need for success in an increasingly AI-driven marketplace.

Managers should lead by example in creating a low-stress environment and be prepared to proactively support employees who are experiencing destructive pressure.

The survey found that 51% of respondents expect flexible career paths to replace traditional linear progression.

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.

Accounting undergraduate enrollment in U.S. colleges and universities rose for the third consecutive year in fall 2025, outpacing growth overall for undergraduate institutions, according to data from the National Student Clearinghouse.

The number of jobs displaced by AI, along with federal government cuts, skyrocketed last year.

Connecticut employers will not face a federal unemployment tax increase 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.