News & Updates

The IRS Office of Professional Responsibility (OPR) issued guidance outlining how existing Treasury Circular 230 rules apply to tax practitioners’ use of artificial intelligence (AI), emphasizing that long-standing duties such as due diligence, competence, and confidentiality remain unchanged.

As AI moves from possibility to business necessity, many accounting firms risk rushing in without thoughtful adoption and integration.

Change management related to technology, including the rise of artificial intelligence (AI), ranked as CPA firms’ leading issue by expected impact in the next five years, according to the latest CPA Firm Top Issues Survey.

The rule defines "financial institution" broadly enough to capture tax preparation firms and financial advisors directly, not just banks and lenders.

When your technology doesn’t perform well, you are not necessarily looking at a “rip-and-replace” situation. Much like tuning up a car – you may find that a technology tuneup is all that’s needed to reclaim the performance you need.

With the increasing demand for instant payments, banks must ensure they have enough liquidity at all times, which opens the door to unintended costs and risks.

You know what AI is, but what about all the other terms? GenAI, agentic AI, LLMs, etc.? This list breaks down the definitions.

Seventy-five percent of senior finance leaders said in a KPMG global survey that they’re actively using AI in the finance function after 30% said the same two years ago.

While companies everywhere are racing to implement AI tools, automate processes, and improve efficiency, many leaders are overlooking a more pressing question: What becomes more valuable about being human at work as technology becomes more capable?

Artificial intelligence is taking over more tasks, but accountants can remain indispensable by strengthening qualities machines cannot replicate.

AI has arrived with force, and its presence is becoming impossible to ignore. If you’re a CPA, this is your moment of truth. The profession built on reason, order, rules, reconciliations and watching pennies like a hawk is suddenly staring at a financial earthquake.

Today’s college students say that picking a major that’s “AI-proof” feels like shooting at a moving target as they prepare for a job market that could be fundamentally different by the time they graduate.

Artificial intelligence deployments are gathering pace in the accounting and audit sector but the outlook for employment may not be as gloomy as it seems.

Today, the audit and assurance function is undergoing one of its most significant transformations with the introduction of artificial intelligence (AI) and other innovative auditing tools. These technologies promise to enhance efficiency, accuracy and scope of audits, but they also present unique challenges and opportunities for CPAs and auditors.

New research shows that AI and machine learning models can be made to look fair and neutral in their interpretability outputs while continuing to produce biased real-world decisions.

The “AI arms race” has created a hiring system that moves faster than ever but with far less clarity.

Three experts provide real-life use cases demonstrating AI and automation in finance and offer advice on costs, employee buy-in, and enabling all to learn.

On May 5, 2026, Anthropic announced it is releasing 10 ready-to-run agent templates for the most time-consuming work in financial services: building pitchbooks, screening KYC files, and closing the books at month-end.

While there are countless areas where data analytics can be applied, three are particularly well suited to CPAs.

Concerns about workforce and data readiness are commonly cited for 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.