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Virginia CPAs Get AI Research Tool Access
Summary: Blue J lets CPAs query tax law in plain language instead of digging through code sections and revenue rulings by hand. Why it matters: VSCPA members now get this through their state society, which usually means a lower rate than buying it direct. Catch: This is a partnership announcement from VSCPA and Blue J themselves — there's no independent data yet on how much research time it actually saves, so treat "faster research" as a claim to test, not a fact. Unknowns: Pricing for CPAs outside Virginia isn't public — call Blue J directly and ask whether other state societies get the same deal before you pay retail. My take: Worth a test drive if your state society has a similar arrangement or is likely to get one. It's also a useful contrast to the governance story below — a tool built to make AI output more defensible is only as good as the review process wrapped around it. [Read more →]
📰 QUICK HITS
Firm Turns Away Three AI Cost Segregation Studies — Engineered Tax Services says it declined three prospective clients who'd built their own cost segregation studies with ChatGPT or Gemini and wanted a licensed engineer to sign off. Scored against the IRS's 13-point quality framework, ChatGPT's version hit 1 of 13; Gemini's hit 0 of 13. Why it matters: If you do cost seg work, treat any AI-generated study as a full new engagement rather than a quick validation — professional engineering conduct rules bar a licensed firm from sealing work it didn't perform, and liability under §6694 attaches to whoever signs or substantially prepares the return, not whoever built the model. [Read more →]
CNA's Risk Director: Firms Need an AI Policy Before Clients Ask — On the Journal of Accountancy podcast, CNA risk control director Sarah Ference, CPA, says the question isn't whether to have an AI policy but whether you're ready when a client asks how you're using AI in their engagement. Why it matters: client-side AI questions are already showing up in engagement conversations, and "we're still figuring that out" doesn't hold up if something goes wrong later. [Read more →]
Real AI Agents Do The Work — Draws a line between question-answering AI tools and true agents that execute tasks directly — running a return, reconciling accounts, drafting a memo — while flagging when a human needs to step in. Why it matters: Vendors pitch "AI agents" loosely — ask what the tool actually executes versus what it just summarizes for you to do yourself before you buy the label. [Read more →]
PE Firms Are Now Buying CPA Firms to Rebuild Them With AI — Thrive Holdings, backed by OpenAI investor Thrive Capital, is raising $2B specifically to acquire accounting firms and rebuild them around AI — its portfolio company Current has already acquired 48 accounting firms. Why it matters: this isn't a vendor pitching you a tool, it's outside capital buying up firms like yours on the bet that AI-native ownership beats organic adoption, and a competitor acquired by a roll-up like this can undercut you on price using a cost structure you can't match. [Read more →]
The AI IPO Rush Is Coming
OpenAI and Anthropic could bring a new wave of AI attention to the public markets. But investors don’t have to wait for the IPOs.
MarketBeat’s 7 AI Stocks to Buy Now report reveals 7 publicly traded companies positioned to benefit from the next phase of AI investment.
💡 QUICK TIP
If a client walks in with an AI-generated cost segregation study, don't quote it as a review — quote it as a new build. Reworking someone else's AI output takes about as long as starting from scratch, and pricing it as a "quick check" is how firms end up eating hours they never billed for. [Read more →]
⚠️ HEADS UP
Governance: Firms Are Deploying AI Faster Than They Can Prove It's Safe — A Smarsh and FTI Consulting study found 55% of enterprises are actively deploying AI, but only 26% say their governance frameworks have kept pace, and just 30% can even detect unauthorized "shadow AI" running in their organization. Why it matters: If a state board or opposing counsel asks what AI touched a client's return, "we're careful" isn't an answer — a written policy is. Firms without one aren't necessarily doing anything wrong; they just can't prove it. Get a one-page policy in writing this month: what data can go into which tools, who reviews AI output before it reaches a client, and who signs off. [Read more →]
7 CFO Risks From the High-Stakes Adoption of AI: CFO Dive's risk breakdown includes low ROI, weak governance (82% of organizations found AI agents running that they didn't know existed), flawed data, "black box" credibility problems, and employee resentment. Why it matters: if you're pitching AI-driven advisory work to clients, these are the objections a skeptical CFO will raise — get ahead of them before the meeting. [Read more →]
CFOs Are Split on the AI Bet: Also from CFO Dive — inconsistent ROI data across industries, a genuine split in employee sentiment (AI as opportunity vs. AI as threat), and productivity gains that come bundled with new cyber-risk exposure. Why it matters: if a client's CFO is hesitating on AI budget this quarter, that hesitation is data-backed, not just caution — worth understanding before you push them toward a bigger AI spend. [Read more →]
Three stories this issue point the same direction: AI is generating client-facing output faster than firms can verify it, and the firms getting burned are the ones treating "AI-assisted" as a lower-liability category than it is.
—Alex
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