Well -- and that's an interesting question. A couple of comments on generally before I get to that. I'd say everybody wants to target accounting as being especially vulnerable to AI. And I would argue and I would at least ask everyone to consider that AI -- or the accounting even at SMBs is already fully automated. Even the smallest companies use QuickBooks and NetSuite. They have tax software, et cetera. And so I think you need to think about the starting point as to how impactful AI would be as much as what the impact itself going to be. I also would suggest that you need to think about that accounting is very precise and accuracy sensitive, which matters because, currently, GenAI, LLMs are nowhere near as accurate as they need to be to be trusted in accounting. And so as you think about AI adoption, particularly in accounting, particularly for SMBs, I think those are factors that need to be considered that typically aren't when people kind of race to accounting is particularly vulnerable. As to upside, AI is actually making it harder for our clients to hire. It's now easier for job seekers to mass apply, which overwhelms our clients. Further, over half, according to Gartner, job seekers today are using AI to tailor their resume to the job requirement, which makes it harder for our clients to distinguish one candidate from another. Further, LLM hallucinations in that process of tailoring resumes are actually creating fictitious work histories to improve the match. To prove this, we did a little test with our data science group. We took 25,000 job descriptions. We took 50,000 resumes. We gave those to the top 3 LLMs, and the prompt was while staying true to the original resume, tailor the resume to the job requirement. And what we found was one of the LLMs frequently fabricated and created fictitious work history. One of the LLMs never did that, and one was in the middle. But the point is it's harder than ever for our SMB clients to trust what a resume shows, particularly as to work history, which makes our services, our vetting even more valuable. And for us, the gold standard for vetting is having performance ratings for how candidates actually performed on prior assignments. And so as AI makes it harder for our clients to hire, we play a bigger and more important role, which is good for us.