The Accounting Podcast

There may be errors in spelling, grammar, and accuracy in this machine-generated transcript.

Blake Oliver: [00:00:05] Then the question becomes, well, where do these students graduating with accounting degrees go to get their first jobs if they don't go to public accounting? Where do they go and who's going to want to hire them?

David Leary: [00:00:18] Coming to you weekly from the OnPay Recording Studio.

Blake Oliver: [00:00:25] Hello, and welcome back to The Accounting Podcast, your weekly roundup of news in the accounting profession. I'm Blake Oliver.

David Leary: [00:00:31] And I'm David Leary. And Blake. Let's jump right in. Just thank our sponsors. There's so much news this week. Our sponsors this week we have UNC Kenan-flagler business school earmark on pay and Levy.

Blake Oliver: [00:00:43] Thanks to uncW for sponsoring this episode. Let's face it, the job market is especially tough right now, but every industry needs accountants and accountants are always in demand. In fact, employment for accountants is projected to grow 10% through 2026, and that's faster than most other professions. That's where uncW Kenan-flagler. Master of Accounting program comes in. It's one of the top ranked Macc programs in the country, with 98% of students accepting a job offer within three months of graduation and earning more than those with just a bachelor's degree. If you're working full time raising kids, serving in the armed forces, or living halfway around the world, they're highly flexible. Macc program can also fit your lifestyle. You can choose their 12 month on campus program or their online only option, where you have up to 36 months to complete your degree. Plus, you'll join the powerful 46,000 strong UNC Kenan-flagler alumni network connections that will serve you throughout your career. If you want to set yourself up for a lifelong career, pick the Macc program with proven ROI. To see why you should get your master in accounting at the UNC Kenan-flagler Business School, head over to The Accounting Podcast. Promo slash punk. That's Accounting Today promo.

David Leary: [00:02:02] So, Blake, I have a the first story I want to talk about today is a story that happened on my front porch. I had fraud happen on my front porch. Financial fraud.

Blake Oliver: [00:02:10] Oh, no. Are you all right?

David Leary: [00:02:12] A little crazy story here, but I'll summarize and explain it a little bit. So I was recording a podcast yesterday, so I'm in this room, right? There's no windows. I don't know what's going on. Well, during that time, my mother in law and my mother in law lives with me. A guy showed up at the house and she gave him her credit card and ATM card, which he which was then used in Casa Grande to withdraw $3,300.

Blake Oliver: [00:02:38] Wait, so somebody just showed up at your house?

David Leary: [00:02:40] Well, they showed up. It's called a courier scam. So I learned about this yesterday. So essentially there's three ways they kick it off, but eventually they get her on the phone pretending to be Bank of America fraud department. So they spoof a call, right? Hey, this is Bank of America fraud. We're going to send a courier so we can get your cards to take them to the FBI. It's an elder scan. And she believed him, so gave them her cards.

Blake Oliver: [00:03:08] They called her up, told her we're coming over. Yes. To expect us drives up.

David Leary: [00:03:13] And it's just this, like a pardon my language. A fat slob like. I can't believe she handed this stuff to this guy. He just, like, shows up in a rando car. Like. Like, no, like nothing. Just a rando guy.

Blake Oliver: [00:03:25] And she just walks out and gives him the cards.

David Leary: [00:03:27] Just puts him in an envelope and gave it to him. Wow. Just so the way this happens, these these courier scams, there's three ways it gets kicked off. The one way it's just math. What they're doing is they're just calling people old people all over the state. That and it says Bank of America fraud on your phone. And you answer it because they're gambling that somebody probably called Bank of America about fraud in the last two weeks or three weeks. Right. So it's a it's a math game. The other way they do it is they get them on a targeted list. So somewhere she's probably on a list like old vulnerable people list or old and vulnerable. And what they do is they'll do a tiny fraud on the credit card somewhere, somehow. Right. She's compromised. There's a tiny fraud. So now they know for a fact she's probably called Bank of America. So she calls. So what happened was in the morning, she called Bank of America about a fraud. Then two hours later, Bank of America fraud department called her phone 4 or 5.

Blake Oliver: [00:04:28] Someone spoofing that, someone spoofing.

David Leary: [00:04:30] Spoofing it. Spoofing it. And because she was already talking to Bank of America about a possible fraud.

Blake Oliver: [00:04:37] She thought it was legit.

David Leary: [00:04:38] She fell for it. They had no idea. It's really like, I know we've talked about this before. Like it's just super dangerous, the fraud that happens to other people. Like me. This is not going to be the second time, so I have to. I had the police at the house last night. I have to fill out work with the Bank of America fraud investigators. I have to fill out a FBI IC3 complaint. Right? I have to upload videos to the video of it happening on my porch. Right. And then we have to get a new bank accounts. Now, mind you, this is the second time in about 18 months we've had to get her new bank accounts because she got compromised once before. Like, it's really just really risky. Like the crimes that are targeting elderly. So if you have elderly clients, elderly family, tell them to never give their credit cards to anybody. Like, just put them in the shredder. If you're afraid somebody stole it already, put it in the shredder. Do not hand it to. Especially somebody who shows up without police. It's so it's it's that typical, like unprompted phone call. Like socially hacked her. Right? She thought she was actually getting help from somebody from Bank of America, right? Yeah. So I dealt with that last night. It was a little bit, uh. Well, it's kind of maddening because it's on your front porch and you see her handing this guy this thing, and he just drives away.

Blake Oliver: [00:05:50] Yeah. Yeah. Gosh. Well, I'm sorry you had to deal with that, David, but it's a good warning for our listeners. Welcome to our live stream, viewers. Boring. Accountant is here with three coffee emojis and says H. Family members need help with financial controls. My father has had a few strokes and since then he has fallen for a scam he would never have been scammed by if it were 20 years ago. So take care of your, uh, talk to your older family members about this kind of stuff. It's just so challenging, David, because the spoofing, you get the call on your phone and it says something like Bank of America because they figured out how to how to work the system.

David Leary: [00:06:32] Yeah, it specifically said Bank of America fraud department.

Blake Oliver: [00:06:35] Right. So you know, like, yeah. And that's possible to do. Right? If you set up a business, you can get a phone number, you can add a add a name. There must have been no control on the phone company side to make sure that this was legit. And spoofing is a big problem across all sorts of frauds. The frauds that we encounter as accountants in businesses. The the deepfakes are getting crazy good so that nobody can tell the difference. I saw a study, a poll that was reported in Accounting Today, that 88% of organizations had at least one AI driven identity attack. In the past year, 81% of fraud cases analyzed by Cybernews were driven by deepfake technology. That's the technology where you clone somebody's voice, or now even clone their image and make an AI video of them so that people can't tell the difference. Generating phishing emails, emails that look like they're from a vendor or from a bank, but actually aren't. And they look really, really good now because it's so easy to make them with AI. So here's an example of just how good the deepfakes have gotten. A group called Runway Research showed a thousand people, two videos. One was real and one was AI generated the same, the same, the same concept. Right? Two different videos. You have to guess which one's real and which one's fake. Less than 10% now could tell the difference. The overall accuracy of the guesses was just 57% flipping a coin. So basically, video deepfakes have gotten so good that people can't tell.

David Leary: [00:08:23] You just don't know anymore.

Blake Oliver: [00:08:24] No.

David Leary: [00:08:25] So so in the beginning, when you start talking about this, you gave a percentage. I'll make sure. Can you repeat that for me? Because if I remember correctly, a year and a half, 18 months ago, we talked about how somebody did a video clone of some CEO and there's a money transfer that happened. So we gone from one business to how many businesses. Now this is being this is happening to.

Blake Oliver: [00:08:45] So 88% of organizations have had at least one AI driven identity attack in the past year. That doesn't mean that they actually fell for it, but they were attacked. So that's an impersonation. Deepfake voice or video creates that highly personalized social engineering. So you get the.

David Leary: [00:09:04] We've had that that like, uh oh, Blake, I need you to change my payroll thing. We've we got a couple weird emails like that, right?

Blake Oliver: [00:09:11] Yeah. That's been going on for a while. Right. Send an email spoof like it's coming from the CEO and try to send a get them get somebody in the finance department to send a send a payment change ACH information update payroll. That's been going on forever. But now you might get a call and it'll sound like the CEO or the CFO or this is the really scary one. You get an invite to a zoom meeting. You join the meeting and it looks and sounds like that person, and you can't tell the difference. And they can even clone the appearance and the voice in real time. So there's like a filter on the video camera feed going into zoom that the hacker that the attacker is using to spoof in real time, a real person.

David Leary: [00:09:58] Yeah. So essentially next time it won't be Bank of America or Fraud calling my mother in law, telling her to a guy's coming to collect the cards for the FBI. It'll be a clone of me calling her cell phone. Yes.

Blake Oliver: [00:10:09] Telling her that could happen.

David Leary: [00:10:11] Jesus. Now we're all cooked. We're all cooked.

Blake Oliver: [00:10:14] Well, and this is why we have to have internal controls. Because we can't trust the human interaction as the only control. So organizations that haven't set these up, like approval workflows in your bill, payment software, or in your treasury management system or system at your bank. You've got to do it. There's just no way around it at this point. So like, it's a warning to everyone. And my recommendation for your family is create a code word that only your family knows. So if David, if you call your mother in law, she should always ask you if it's anything to do with financial or giving information. Ask for the code word and then you would know it, right? A hacker would not know that.

David Leary: [00:11:04] Unless it's go bills and they would usually biohack. They'd reverse engineer the whole thing.

Blake Oliver: [00:11:08] Not not go bills. So anyway, um. Yeah, it's it's a scary world we live in. I mean, AI is powerful. It's incredible, does amazing things, but it's also going to turbocharge fraud. Trinity Scott says in the live stream on YouTube. We have a friend whose mom got taken for over $200,000 and still won't acknowledge that she was scammed.

David Leary: [00:11:31] I've heard stories like that.

Blake Oliver: [00:11:33] So since we're talking about AI, why don't we keep on this? Shall we? Okay. Um, there have been some really interesting updates now from Claude from ChatGPT. We haven't talked about them on the show. I want to talk about it. Um, Claude now has an Excel integration for pro subscribers. So this is a plugin for Excel. It's it's available to all Pro subscribers or higher. And it it has a control in it that I really like. It avoids overwriting existing cells, which is a big concern with a lot of spreadsheet automation, is that the AI will overwrite what you've already got in there, so it won't do that. Um, so what can you kind of do with it?

David Leary: [00:12:22] So just to pause it, does it do you just create a new tab and copy your spreadsheet Or does it just insert a row and put the value in a cell next to it? I mean.

Blake Oliver: [00:12:31] Basically you can chat with it opens up clogged in like a sidebar. I haven't played with it very much. Right. But you can chat with it and it will work in your Excel file like it's you clicking around.

David Leary: [00:12:41] Okay.

Blake Oliver: [00:12:42] Keystrokes, mouse all that. You can just ask it to do the work. So I'm curious if anyone has tried this. If anyone does, listen and try it, I want to know what you're using it for. Um, like this is the type of integration now that is really going to power, I think accounting and finance, because you can just say, build me a pivot table that does this, and you don't have to know how to build a pivot table anymore. Right. Or I don't know, whatever it.

David Leary: [00:13:12] Is, those things where and everybody has to do this. This is where it starts leveling out people's skills. Right? Like, right. I know there's a way to when you have a first and last name and you want to put it into two columns. So it's you have one field for first and last name and you want to put it in first name column and a second name column or last name column. And I know I had to do this. I always have to look up the formula and like do it every time the syntax. So now I can just if I don't even want to learn Excel. So all the Excel wizards are going to be in trouble, because I'm just going to be able to type in, put two more columns, first name, last name separately, and it'll go do the formula for me. Essentially.

Blake Oliver: [00:13:47] Claude also released a new tool called Claude Cowork. This is a new AI feature designed for Non-developers that lives on your desktop and can work in specified apps and folders. So up until now, you've had to drop files into the chat bot and then get them back. But now the AI is actually going to be able to click around on your computer.

David Leary: [00:14:13] And that scares me. I don't know.

Blake Oliver: [00:14:16] What, but think about it, right? We don't have to wait for the accounting apps to build AI agents inside of the software. Yeah, if we can use a desktop based agent that can do the work like it's clicking around for us. So this is going to be huge for any accounting and finance team that's using an app that is older, that doesn't get updated, where the developers are not adding in these kind of features. Or maybe it's not possible. I mean, you could now automate work inside of old desktop applications that don't even have a cloud component.

David Leary: [00:14:49] Yeah, there's a lot of older, bigger mid enterprise businesses that have some legacy software that only dumps data out as a CSV. But now you could somehow, you know, have it work with that and then import it into your GL. Yeah.

Blake Oliver: [00:15:02] So right now this is a preview. It's a feature preview available only on Mac OS. Sorry PC users.

David Leary: [00:15:09] Wait wait wait wait. So they built an Excel thing?

Blake Oliver: [00:15:13] No, this is the. This is the desktop agent.

David Leary: [00:15:15] Oh, the desktop thing. Okay. Got it. I was like, you missed the market if you built an Excel tool on Mac.

Blake Oliver: [00:15:21] Uh, so it's available for Cloud Pro or Max users. And what you do is you create a task instead of a chat, and you describe the work you want it to do. In plain language, the user selects a specific folder cloud is allowed to access so it can't roam your entire file folder structure. And then if it's confused, it'll ask clarifying questions as it does the work. So here's an example of what a journalist did. Receipt cleanup. She asked Cowork to reorganize a desktop folder of business receipts. It asked how to sort and whether to standardize naming, and then proceeded with real time status updates. She said it took five minutes and produced a formatted Excel spreadsheet listing business expenses for the past two years.

David Leary: [00:16:08] Wow.

Blake Oliver: [00:16:09] So drop a bunch of receipts, images PDFs into a folder. Tell cloud Cowork.

David Leary: [00:16:16] To.

Blake Oliver: [00:16:16] Extract the information, organize the files, name them, put them all into a spreadsheet for me. Can you imagine that? Like five years ago? No. This is incredible. I mean, this is one of. This is what I've been asking for is just give me something that will, like rename all my files, organize them in my Google Drive or in my.

David Leary: [00:16:37] We should short the carpal tunnel industrial complex because people aren't going to get it anymore. Right.

Blake Oliver: [00:16:44] Um, so, like file management, right? Organizing folders, batch renaming, generating summary spreadsheets. That's a great use case. Document creation. Um, analyzing transcripts, comparing document versions. Basically, all this, like, manual stuff that we do now in our on our computer. So I can't wait to test this out. Uh, we'll see. We'll see how it goes. Also, uh, one more update from Claude. They've got this new feature called skills, and it's sort of like custom GPT in ChatGPT, but it goes a step further. So custom GPT are projects or basically ways to store instruction sets. Store prompts and reuse them over and over in a standardized way. And also the context like you can upload files and then when you prompt it has all of that instructions and the files every time. So for instance you could create like a, a pricing custom GPT or a project that has all the instructions as to how your firm likes to price engagements with examples of past proposals. And then you just drop in, say like an email thread and it will like analyze what's in there, ask you clarifying questions, and then help you produce a proposal. Like great use case.

David Leary: [00:18:03] And that's for projects but not projects. So what's the difference of skills.

Blake Oliver: [00:18:06] So skills are these like snippets. Of instructions, custom instructions that can be used across conversations so you don't have to like, go to the folder of the project and then do a chat and they will activate automatically based on what you're asking for. So you can just chat with Claude and you've created all these skills and it'll just activate them and use them when it needs to.

David Leary: [00:18:35] So and so basically you're creating your own army of these of how you like things done of like, hey, I want this little this guy with this skill. And I like the way this person does it in another skill, another skill. And then I just used the GPT tool like I normally would in the default mode. And now it's going to utilize all these skills automatically.

Blake Oliver: [00:18:54] You don't have to remember which one to use. So you know, I'm trying to think of like examples. But you know, maybe it's like maybe you have a skill. That is how I like to write emails like ghost write emails for me, and you've created this custom set of instructions that explains exactly how what your style is, what your tone is with examples of emails you've written before. So now, whenever you say in Clod draft an email response to this, it can go find the skill and draft it like you.

David Leary: [00:19:29] Yeah, it's basically okay, I'm going to do this, but do I have the skill or I'm going to use my skill?

Blake Oliver: [00:19:33] Yeah, yeah. Uh, David, let's go ahead and thank our next sponsor. And that is it's earmark. Earmark.

David Leary: [00:19:41] So most of you know, if you've been listening to this show, you can get CPE for listening to all the podcast episodes, including this one you're listening to right now. Um, you can listen to lots of other podcasts to get CPE. In fact, 15 of the 20 biggest podcasts have channels in the earmark app, and you get CPE for listening podcasts like oh My Fraud, federal tax updates, the unofficial QuickBooks accountants podcast Tax in Action The Mr. R show best metrics the inside public accounting podcast. It's easy. You just listen to the podcast. Head to earmark app. Take the quiz and get a CPA certificate. Also it's free. You can do one course a week for free. All you have to do is head over to earmark app. Earmark.

Blake Oliver: [00:20:27] We issued David 83,000 CPE certificates last year. We've we've passed I think we're about to did we do it or have we already.

David Leary: [00:20:38] Thousand is probably we're in a little lull but it's probably going to be March 1st week of March. We're probably 200,000 CPS.

Blake Oliver: [00:20:46] That's amazing. Uh, thousands of courses, uh, tens of thousands of users on earmark. So check it out if you haven't, get your CPE requirement all taken care of and you can do it for free. One a week. And if you want to support our work, subscribe for the low price currently of $170 per year. And if you have a team, if you have a bunch of CPAs, EA's CMAs, on your team, at your firm or at your company, you can sign up for a team plan and get discounts. So email sales at me if you want to sign up for a team plan. What's great about that is you give us your domain, you tell us what your domain is, and then we set that up in the app so that anyone at your company with an email on that domain gets an upgraded account, and you can add CPE to your own internal trainings. You send us.

David Leary: [00:21:41] Give you a private channel in the app.

Blake Oliver: [00:21:42] That's right. Send us your videos of your lunch and learns or of webinars that you've done, and we'll load them into a private channel available only to your team, and they can earn CPE on demand for watching those videos. Nasba approved. Cpe. All right, David, I got one more Claude story. Anthropic story. And this goes to the title of our episode, which is AI could displace 50% of entry level white collar jobs. So Dario Amodei, he's the CEO of anthropic, which is number two to open AI, one of the biggest AI companies in the world. He published a 15 000 word essay on AI risks, and one claim in particular stood out to me. He said that AI could displace 50% of entry level white collar jobs in the next 1 to 5 years. And we've been talking about this a lot on the show, and we've heard it from our listeners that accountants coming out of school are having a hard time getting jobs right now, which is strange because just think back to the unk ad that we read at the beginning of this episode. There's strong demand for accountants.

David Leary: [00:23:08] Yes.

Blake Oliver: [00:23:08] The the the profession is growing, but entry level jobs are declining. And this is going to have a huge impact on the profession. Most accountants get their start in public accounting, doing entry level jobs. And those tasks they are completing in those jobs as staff accountants. That's exactly the kind of stuff that AI is going to start automating, and already has great example gathering documents for an audit from a client and organizing them into a file folder structure.

David Leary: [00:23:44] Yeah. And giving them similar names or something.

Blake Oliver: [00:23:46] Yeah, right. Um, copying work papers from last year and updating them with new information. This is all stuff that these like desktop AI agents and the eyes that are built into modern audit software are doing now, or are going to completely automate very soon. So then the question becomes, well, where do these students graduating with accounting degrees go to get their first jobs? If they don't go to public accounting, where do they go and who's going to want to hire them? Because they the they don't have the skills to do the jobs that are in demand, which are the mid-career jobs. That's where we have the shortages of CPE.

David Leary: [00:24:27] They don't have the skills to babysit AI yet, or monitor it, or know when AI is wrong.

Blake Oliver: [00:24:31] Because they haven't learned how to review the work yet. So this is a huge challenge for accounting education, for colleges, for universities, for firms that are trying to develop those managers because they're not going to get the experience just doing the work. So what has to change? That's my question. I don't have an answer for that, but I just I find that, like, fascinating and scary. Um, it's almost like. It's almost like we're having a recession for entry level work, but we're having a golden age of mid-career and experience work because those are the people who can leverage AI to have a team essentially without paying for one. I can be ten times as productive now doing everything I do with AI, and I don't need to hire a huge team to do it.

David Leary: [00:25:26] Yeah, if you think about like through the late 80s and the 90s, a lot of the layoffs that have happened across this country in the 2000 are mid-level, mid-level managers. The bloat in the company and now, in theory, a good in the future, I guess a good mid-level manager is going to be managing lots and lots of bots and be super productive. Mhm. And that's how they're going to be judged is how many bots are you, not how many employees are. And then we thought it was overhead anymore. I guess maybe that the the middle, the white collar middle manager. Now it's like you just said, the golden age.

Blake Oliver: [00:26:01] And US workers are worried about losing their jobs to AI. I spotted this survey in CFO. Com 60% believe that AI will eliminate more jobs than it creates in 2026. Only 16% believe AI could never replace what they do. And this is having a big impact on return to office mandates and remote work. I've been a big advocate of remote work. We talk a lot about it on the show, especially during Covid and after. Well, last year, 51% of workers said they would quit if their company did a return to office mandate. Half that went from 51% down to 7% in a single year. That, to me indicates that workers are losing power.

David Leary: [00:26:46] Yeah, their fear afraid of losing their job.

Blake Oliver: [00:26:48] Yep. So the pendulum has swung. David, using the term you love back to employers. Employers have the power in the market. In the job market with a, you know, economy that's kind of shaky. And with AI that is quickly displacing a lot of work that people used to do.

David Leary: [00:27:11] So based on these numbers you just laid out here, right. Um, ADP this week announced that they have launched a new suite of AI powered ADP ATP assistant agents designed to automate and simplify core HR work payroll tasks, keeping humans in control, blah, blah, blah. The typical announcement everybody's talking about rolling out AI, but really, but AI what they're talking about though is how they built it on ADP scale of data. So they covered, uh, they used 1.1 million clients and 42 million wage earners across 140 countries to train these AI agents. But my thing is, based on these numbers, I can't understand any payroll companies being pro AI. Like, why would you? Because if you believe AI is going to be important, that's going to kill millions and millions and millions of these jobs that get paid from ADP. Right?

Blake Oliver: [00:28:02] Right, right.

David Leary: [00:28:03] If I was ADP, I'd probably have to lobby. I would lobby against AI because they probably make 500 bucks an employee. They run payroll for. Just loose math on these. Yeah. And they have 40 million wage earners that are running payroll for 42 million. If that drops to 20 million, ADP is cooked and it's half the revenue would be gone. I just.

Blake Oliver: [00:28:27] Yeah. Yeah. No, that's if 50% of entry level jobs are eliminated. That's 50% of their new employee pipeline that they get paid to run payroll for.

David Leary: [00:28:38] Run payroll for the next 30 years. Right.

Blake Oliver: [00:28:40] Maybe we should be shorting payroll company stocks.

David Leary: [00:28:43] I think I said this before we titled the episode along. I don't even know how many weeks months ago it was, but I said this before the biggest losers in AI are going to be the HR personnel payroll companies. Because if AI really delivers these promises of displacing 50% of the jobs, the payroll companies and the work days of the world and the job boards, those are all going to be impacted.

Blake Oliver: [00:29:05] So here are some examples of what those AI agents can do. According to ADP Payroll Variance Auditing, payroll agents can automatically audit for variances and suggest remediations to a human tax registration agents can flag missing or incomplete tax IDs and guide clients through registration steps to get those. That's a big one. Like that is a lot of work and sometimes it's very manual. So that would be really helpful. Uh, HR agents can generate personalized answers to frequently asked questions using the client's own handbooks and policies. That's that's an easy one. You can do that right now for your firm. Upload your firm employee handbook to like a ChatGPT custom GPT. Share that with your team. They can just ask questions. Get answers. Analytics agents can create, run, and analyze custom reports or visualizations based on natural language queries. Makes a lot of sense. You can do that right now. If you say, use the cloud for Excel integration and HR agents can also kick off actions like initiating a promotion from a prompt so you can type promote Jordan Smith, and then it will ask you a series of questions about the organization and pay, and then give you next steps to promote that person. I like that one. And, you know, that kind of brings me to like, I want to come back to these agents because we got more stories about that. But that brings me to a tip. One of my favorite tips for AI use. So like if you're a big AI user, if you do it every day, like I think 12% of workers now pay attention to this. Um, so one of the challenges of prompting is that it's really hard to think through like a, a problem you have or it's hard to design a good prompt.

Blake Oliver: [00:31:04] A good prompt is really, really detailed. And sometimes you just like writing. That whole prompt is overwhelming. And so one way to get around that is instead of like trying to define your prompt all at the beginning is, um, you, you have the AI ask you questions so that it gets the context to complete the task. That's what's hard about prompting is You ask the AI to do something? Yeah, but there's a lot of missing context there, right? It's in your head, but you have to get it all out of your head and into the prompt for the AI to know what to do. So sometimes the best thing is to say, here's what I want to do. And then here's the prompt I've written. This is like a snippet that I've saved, and I can just copy paste at after any request. First ask me questions to clarify exactly what I'm looking for. So I, I tell it what I want it to do. Okay. And then I say, first ask me questions to clarify exactly what I'm looking for. After each of my answers, reply with your next question. Include a confidence score as a percentage that indicates, given your knowledge, how confident you are, that you have enough information to accomplish the task. When you achieve 100% confidence, ask me to confirm I am ready for you to do the task. Do not attempt to do the task until I give you the go ahead.

David Leary: [00:32:26] That that. Please, please wait till I say go is like the most important prompt because I don't know how many times you just you type a sentence and you're typing the second sentence and it just takes off. And yeah, that that like please wait until I say go. And that's really important. If you've done any of the vibe coding stuff, because it'll just take off and just build you a feature you didn't ask for. You have to really be clear, like, okay, do you understand the requirements? Yes. Okay. Now go build it. Then you have to do that dance. But the giving it permission to actually do the work is like an important, important skill set.

Blake Oliver: [00:32:59] All right. Going back to these agents, here's a really, really interesting new feature. This is from gusto. So the payroll company HR company gusto now has a feature where you can run payroll inside of ChatGPT. So ChatGPT has an app directory. You can connect different apps to ChatGPT. Examples include Gmail, TurboTax.

David Leary: [00:33:25] They did this with tax TurboTax. Yeah.

Blake Oliver: [00:33:28] Uh, you can connect your Google Calendar, your Google Workspace, your Google Drive. That was the first thing that I did. I think that might have been the first thing that rolled out. So now I can prompt chat to search my emails and summarize a recent thread or find something that I couldn't find. Just do all sorts of stuff. You can even like draft emails and click a button and then they show up in your Gmail. Have it do that for you. Well, now you can do that with gusto and you can do a few things. Here's the core capabilities right now so you can ask questions, analyze trends, and request summaries. So you don't have to go into the gusto reports. Now you can just ask ChatGPT for information. It'll give you the report. And you can run payroll directly in ChatGPT for select customers initially. So you can just in ChatGPT type at gusto, help me run payroll, and then it will walk you through running payroll as a conversation.

David Leary: [00:34:30] Yeah. Do you think we're going to have a world where. I mean, we've already seen all these apps, right? I think we have an article like Melio added a chatbot to their app. Right. Xero has jacks in their app. Do you see that? Like, that's going to be the world. There's going to be little chat bots, or am I going to just have one chatbot I talk to that's just going to be connected to what were those things called before, those skills and apps? Right.

Blake Oliver: [00:34:54] Well, what would you prefer, David? Would you prefer having a go to ten different websites and chat with ten different bots in order to get your work done, or would you? I'm a windows user, obviously.

David Leary: [00:35:04] You know what I prefer? I prefer compatibility with things, not a closed system like Apple people, right?

Blake Oliver: [00:35:09] What I'm saying is, wouldn't you rather just have ChatGPT open on your computer? And every time you need to do something in any of your apps, you just do it in ChatGPT just chat.

David Leary: [00:35:20] I've always thought people are not going to have five separate chat programs. I use this one when it's taxes and use this one for accounting, and I use this one to learn about library books like you're just going to have 111 front end you're going to. And that's why they're spending so much money on this. Because everybody wants to be the one. Right. That doorway.

Blake Oliver: [00:35:39] We got a good comment here on YouTube from, uh, Claude Lester about this ADP thing with the jobs getting, you know, disrupted. Claude Lester says we should remember that regarding ADP, not all entry level jobs are white collar. There could be an increase in blue collar entry level roles, which ADP also supports. So that's an interesting point. Yeah. Didn't think about that. Forgot about that right I mean.

David Leary: [00:36:07] Okay so let's take this. So now the headline will be in five years because of AI there's going to be 100% increase in blue collar jobs.

Blake Oliver: [00:36:15] Or 50% increase. Well are they going to offset.

David Leary: [00:36:20] Well yeah. If you have a 50% here, you're going to need 100% over there, right? In theory.

Blake Oliver: [00:36:26] I don't know. I don't know how percentages work. Uh.

David Leary: [00:36:31] Well, to go you said.

Blake Oliver: [00:36:33] David, you're breaking the rule. We don't try to do mental.

David Leary: [00:36:36] Math on the.

Blake Oliver: [00:36:36] Show. On the show. So.

David Leary: [00:36:38] But imagine the headline being the opposite, right?

Blake Oliver: [00:36:42] Yeah.

David Leary: [00:36:43] Like there's no. Would the headline have any credibility? People would laugh at us if you called this episode. In five years, AI could create 50% more blue collar jobs. People would laugh at us. That's why it's like I don't see it being a reality.

Blake Oliver: [00:36:58] And have you seen these Tesla robots recently?

David Leary: [00:37:02] Oh, yeah.

Blake Oliver: [00:37:02] Ai powered humanoid robots. I don't know if it was a Tesla one, but I saw like an Instagram reel of one of these robots doing the dishes, like picking up glassware and gently putting it into a dishwasher, including a wine glass and not breaking it. It goes slow. It's like really slow. But that's going to speed up, I mean. And then once you have robots walking around autonomously performing tasks, at what point do you start automating blue collar work? And here in Phoenix, we've got companies that are working on creating self-driving trucks like freight cargo, driving those all over the country. That's millions and millions of workers right there. And just based on how well the Waymo's are doing, it seems like that's going to come along in the next few years. It's just a regulatory thing. People have to be comfortable with it. But honestly, I'd rather have a robot driving a truck on the interstate than a human who's going to fall asleep at the wheel.

David Leary: [00:38:02] Yeah, in the same way, AI is going to disrupt white collar jobs. There's robotics that's going to continue to disrupt blue collar jobs. Yeah. So we're all cooked. And then with the fraud and the AI fraud, we're just all cooked. We're just all cooked. What's the point?

Blake Oliver: [00:38:17] Uh, maybe it won't be so bad. Hey, here's an example of how AI is going to help automate work in government. Maybe make the government more efficient. According to internal records and staff interviews, the US Department of Transportation plans to start using artificial intelligence to draft federal transportation regulation. This would make the Department of Transportation one of the first federal agencies to use AI in creating new regs, and I think this is a fascinating use because regulations like that kind of stuff. Implementing the law.

David Leary: [00:38:53] Basically interpreting because Congress creates a law, and now the IRS or the Treasury Department and IRS have to create the regulations.

Blake Oliver: [00:39:01] That's right.

David Leary: [00:39:01] And that's a probably a a very committee driven process of thousands, millions of dollars of resources to create drafts of these and get them reviewed. Yes.

Blake Oliver: [00:39:10] And this is a perfect job for AI Because AI essentially is a universal translator. It takes one thing and transforms it into another. A transformer, right? That's why that's the T in GPT or a translator. So if you already have legislation, turning it to regulations is really just a form of translation or transformation in AI could do that in a very objective way that is not biased. If properly trained, because humans get it wrong. So AI could really speed that up. So I think that's fascinating. I also wonder, could we use AI to finally simplify the tax code? One of the problems with simplification is everybody is worried they're going to lose their benefit, that they're going to somehow end up paying more in taxes because they lose this deduction or they lose this tax credit. So getting rid of deductions and tax credits and all these rules is really hard because there's always somebody who benefits from it. But what if you could build an AI that is designed to simplify the tax code while minimizing the disruption to individual taxpayers?

David Leary: [00:40:31] Yeah.

Blake Oliver: [00:40:32] Come up with a simpler system where nobody loses.

David Leary: [00:40:36] Yeah, I'm surprised nobody's done this experiment yet of like, here's all the US tax code. Make this simpler.

Blake Oliver: [00:40:42] Well, you know why I tried.

David Leary: [00:40:44] Okay.

Blake Oliver: [00:40:45] The tax code is so big, it can't fit into the context window of any AI that is available to me anyway. At least it couldn't when I tried, like earlier this year. That's how complex our tax code is. It's crazy.

David Leary: [00:40:59] Even AI can't do the tax.

Blake Oliver: [00:41:01] Even AI can't handle it. Isn't that amazing? Good. You know, that actually is like. Just think about that. That tax professionals who, like, know the entire individual tax code or corporate or, you know, like that's an amazing thing. You are smarter than a computer. Although I think that's probably over. I haven't tried it yet, but you know, if anyone has downloaded the entire text and successfully integrated it into like a project or something in ChatGPT or I don't know if you built your own, I.

David Leary: [00:41:33] Think, I think there's AI companies that are doing that so you can research it, but I don't think anybody's done the prompt of how would you just take everything I uploaded and make it simpler?

Blake Oliver: [00:41:42] Hey, David, let's thank our next sponsor. And that is on pay. Are you tired of payroll headaches getting in the way of client experience, manual workflows, creating bottlenecks, compliance nightmares, and endless support calls that go nowhere? There's a better way for your team and your clients on pay is the payroll partner that accountants and bookkeepers actually love. Why? Because it's easy to use, packed with value and backed by support that actually supports you. Their team gets rave reviews for being fast expert and actually reachable when you need them. Onp handles the heavy lifting. You get a dedicated onboarding coordinator who sets up worker profiles and transfers year to date data from previous providers, all at no extra cost. Their seamless QuickBooks and Xero integrations eliminate manual journal entries, and I can testify that to that because I just automatically matched two of those to the bank feed, and they support any types of businesses you serve farms, restaurants, nonprofits, you name it on. Pay can handle unique requirements without adding complexity on pay keeps pricing simple to everything your clients expect from multi-state filing to off cycle pay runs is included. No hidden fees, no surprises. For a limited time, earn up to $10,000 when you switch clients to Onp, add three clients and run payroll by January 31st, 2026 and you'll get $1,000. Then earn $200 for each additional client. To book a demo, head over to The Accounting Podcast. That's The Accounting Podcast forward slash o y.

David Leary: [00:43:13] Um, I have two really quick, teeny stories. If I talk about one, one will pivot us off of, um, payroll and AI and all that. Uh, you know, I like to, like, look into these earnings calls of these companies when they announce stuff. Well, this is about two weeks ago. Paychex had their earnings call and they mentioned AI 50 times in the earnings call. That's it. That's the story I don't have any more details of that. I just thought that was surprising. And it ties back into this. Like why are payroll companies pro AI a little bit. And then the other earnings call that I found interesting that I saw this week was, do you know about deluxe? Do you remember deluxe?

Blake Oliver: [00:43:48] Yeah, I used to order QuickBooks checks from deluxe.

David Leary: [00:43:51] Paper checks right there. The printer of paper checks. Well, they've been diversifying over the years, and now they own a payroll company. And so they're kind of trying to become, you know, a payroll company, Sorry, a payments company. They're doing electronic payments, and they're also doing, um. Data services of that type. But they're last year in 2025. How much money in revenue did they do in printed materials, which is mostly paper checks, the vast majority of it.

Blake Oliver: [00:44:16] I don't know, I figure it would be dropping. Right. Like they must be dropping.

David Leary: [00:44:20] It drops every year. Yes, they acknowledge that in their earnings. But what do you think the number is?

Blake Oliver: [00:44:25] I have no idea, David.

David Leary: [00:44:25] 100 million. 200.

Blake Oliver: [00:44:28] More than that.

David Leary: [00:44:29] $1 billion still probably of revenue comes from paper check sales at deluxe.

Blake Oliver: [00:44:34] God help us all.

David Leary: [00:44:36] Like we're 2025 and $1 billion paper checks are still being sold to market.

Blake Oliver: [00:44:42] Wow, wow. Well, you said that in there. You said in the was it the Paychex investor call. They there were 50 mentions of AI.

David Leary: [00:44:52] Yes.

Blake Oliver: [00:44:54] Well that's probably because the investors. The institutional investors are wondering the same thing, David. They have the same question you do, which is how is a payroll company that gets paid per human going to continue to grow and beat our estimates or, you know, hit its targets when AI is eliminating jobs? Right. And I bet you that the CFO has been getting lots and lots of questions about AI, and that's why it came up so much. And this is happening across all sorts of companies, where institutional investors are using AI to research companies and asking better questions. And this is increasing the volume, frequency and time sensitivity of investor communications. 35% of CFOs saw increases in that in 2025 compared to 2024. And that's because it's getting harder to control your company's narrative when AI tools are interpreting and surfacing your information to investors. This is the same thing that I did last year. I took a K1. I did it a few times, write these long, hundreds of pages long reports from public companies and dropped them in to a chat bot and said, find me the most interesting stuff in here. Go through this, synthesize the information, give me an executive summary, find the flag, the risks. I did this with an investor prospectus for a brewery up in Flagstaff.

David Leary: [00:46:31] Remember that I sent you. I said, you want to invest in this? And then you came back, and I.

Blake Oliver: [00:46:35] Came back.

David Leary: [00:46:35] And.

Blake Oliver: [00:46:36] I said, yeah, well, I found out. I found all the risks.

David Leary: [00:46:40] So are we going full circle? If I think about our show for three years ago, four years ago, you and I kind of had the opinion and in general we the assumption was in the market, nobody reads the The financials. We do all this audit. We we create the financials. And then nobody actually uses them to make investment decisions. Well are we now full circle where people are taking the financials. Just shoving it in ChatGPT and actually using the financials now. Did we come full circle. The financials are useful now.

Blake Oliver: [00:47:07] You know we should be careful right. It's not that nobody's using them. People always have been. It's just been hard to find the signal in the noise. Meaning these these financials and the disclosures and the notes have gotten so big that it's really hard for an analyst to, like, read through it and find what matters. But AI can do that.

David Leary: [00:47:27] But now the man on the street can just take it and do this. Yes.

Blake Oliver: [00:47:31] And so it's it's distilling and eliminating all the stuff we don't really need to know about, and focusing us on what we do need to know about, which is creating challenges for CFOs because they can't control the narrative. They can't hide the bad news as easily anymore. So.

David Leary: [00:47:48] So as a CEO, you have to be prepared for tougher questions.

Blake Oliver: [00:47:50] Yes.

David Leary: [00:47:51] So that makes me the next jump. So you as the tax professional or the CPA or the bookkeeper, are you going to get tougher questions from your clients now because the clients can do the same thing and then.

Blake Oliver: [00:48:02] Yeah.

David Leary: [00:48:02] Better.

Blake Oliver: [00:48:02] Questions. Exactly. If they are using AI tools, they're going to and they're using them well then they're going to have better questions for you. But I guess then there's also the possibility they just won't use them. Right. I mean, and that's the thing too, is like it just surprises me that more people aren't using AI regularly because the benefit I experience is so vast. But I guess just most people are just really content to do things the way they've always done them. But I've never been that kind of person. I've always been looking for a better way. But I think the problem is that most people don't want to change. They want things to stay the same, and they want to be taught how to do something and just do it. And that's their job. I go to school, I learn how to do this thing, and then I just do it for 20, 30.

David Leary: [00:48:50] 40 AI to have it teach you how to do the job, though, you could be like, right, it's my first day at this job, I work here, here's the job. How do I accomplish the thing I was asked to do? And it could probably train you to do your job.

Blake Oliver: [00:49:00] But in order to do that, you have to know what questions to ask. You have to be curious. And I think that's why.

David Leary: [00:49:07] A good word. That's a good word.

Blake Oliver: [00:49:08] The most important skill in the AI era is going to be curiosity. Let's talk about Intuit and let's also talk about zero. Intuit has launched a program. They are going to try to upskill 1 million accounting students over the next five years. They are tackling the pipeline problem 1 million accounting students. It's called the Career Pipeline Program, and their goal is to prepare students for accounting careers by building digital data and advisory skills. As AI and automation reshape entry level work, they want to help students see how next generation tech can help them work smarter, while emphasizing that human judgment remains essential. The program will include on demand and immersive learning and skills based training, mentorship, and certificates that the students can earn to show that they've gone through this program and they'll get access to resources to earn their ProAdvisor QuickBooks certification. The program kicks off with a virtual event called the Career Lab Skills for the New ERA of Accounting on February 3rd and fourth. They're going to feature thought leaders discussing the changing accounting career landscape, the impact of AI in fintech and client advisory services, and the skills that employers want now.

David Leary: [00:50:28] Now, is this a new program where they're working with universities? Because I think they have their own like bookkeeping education platform, like a how did how to become a bookkeeper type thing?

Blake Oliver: [00:50:40] Well, I mean, isn't that what like the pro? Well, no, the ProAdvisor certification is really QuickBooks focused, right? But they added some like bookkeeping stuff like learning the accounting.

David Leary: [00:50:49] So they're actually training people to become bookkeepers over here in this initiative. And now this one sounds like they're helping accounting students become better accountants. This feels is this modeled actually after, um, the Utah Valley State? David, what's his last name?

Blake Oliver: [00:51:03] Wait.

David Leary: [00:51:04] Yeah. David waits students in that program.

Blake Oliver: [00:51:08] I don't know.

David Leary: [00:51:09] We don't know. Well, because Intuit really jumped all over that. And they like they they brought those students to QuickBooks connect. They went and they filmed the classroom. So yeah, maybe maybe we had some influence over this, I don't know.

Blake Oliver: [00:51:24] Zero news from my Xero friends for all our zeros out there. Zero Con is coming back to the United States this year. Zero con Denver 2026. Tickets are on sale now. There are some steep discounts if you act fast. Uh oh. It looks like there was a flash sale. I wonder if I wonder if it did. We miss it. Uh, we will be there. I'm going to do my best to be there. Yeah.

David Leary: [00:51:50] Denver's an easy trip.

Blake Oliver: [00:51:51] That'll be fun. Um, let's see how much it costs to buy tickets now. Oh, yeah. Register by March 31st to get 30% off tickets. So tickets are. How much? Uh, looks like 455, $455. And you can get a t shirt for 26 bucks. I remember when the t shirts were free.

David Leary: [00:52:16] Yeah. You see, free t shirts.

Blake Oliver: [00:52:18] Why don't they give away free t shirts?

David Leary: [00:52:19] Because it costs a lot to import a t shirt these days, I guess.

Blake Oliver: [00:52:23] Right. That's true. Okay. Uh.

David Leary: [00:52:27] I have a zero thing if you're still on zero.

Blake Oliver: [00:52:30] Yeah, let's talk about zero.

David Leary: [00:52:31] So zero missed an opportunity, in my opinion. Here. Just launched an AI agent called ML and this lets accountants, bookkeepers, etc. answer questions about their bills, payments, vendors, cashflow inside of Emilio. So there's a chatbot inside Emilio. But remember, why did zero by Emilio to grow the US user base of zero users? Yes. So zero already has Jax. Zero missed an opportunity here to force. Why didn't they just have Jax inside of zero sucked Emilio data in and drive people to go to the Jax in zero to do chatting about their bill payment. Like they kind of missed the opportunity to force people to use zero here by letting a chat agent.

Blake Oliver: [00:53:14] So your your Emilio user, but then you have to sign up for zero just to use the AI chat. I don't know.

David Leary: [00:53:19] Yeah, that's what I would have done something like that. Maybe you maybe you get a free version of zero where it's just the chat. I don't know, but you got to somehow get if you're going to convert zero Emilio people to a zero users, you have to get them into zero, right? Yeah. How did they become zero users if you don't push them into zero. So Amelio launching their own separate chat app is probably not a very good strategy for zeros. We want to grow US market. So just something I saw more zero.

Blake Oliver: [00:53:45] Here's here's something else that's new from zero. Remember when zero acquired Syft analytics?

David Leary: [00:53:52] Yes.

Blake Oliver: [00:53:52] So they have now rolled that out. It is now integrated directly into Xero and it's available to select plans. And I have to say David, I have never been impressed by a dashboard built into accounting software before. But I like this one.

David Leary: [00:54:10] Wow.

Blake Oliver: [00:54:10] Yeah. Uh, and I'd love to share it with you to show it to you. What? It.

David Leary: [00:54:16] I haven't seen it much.

Blake Oliver: [00:54:18] Okay. So I got a I got to log back in. I got logged out here. All right, so we're here in the demo company. You can see my screen there.

David Leary: [00:54:29] Yes. You're sharing.

Blake Oliver: [00:54:30] By the way. By the way, there's a new. Oh, this is my little one password thing. I got to get rid of that little weird thing. Okay, so first, actually, I want to show you the new home screen. So they also redesigned the home screen. So it's still widget based. You know we've got these like little rectangle widgets for the checking account savings account here. Invoices owed to you. But they're just like I don't know. They look a lot better. You can hover over them and see details you can click and go through to like the bills to pay. Right. We can see kind of a schedule.

David Leary: [00:55:04] I feel like this pendulum goes back and forth. Like now QuickBooks is starting to feel cluttered again. But then QuickBooks for a little while there for a few years was really clean. And now Xero's pendulum is back to this is clean. It's really clean.

Blake Oliver: [00:55:16] And here's what I like. They've got this task widget, so it shows you for each account how many items you need to reconcile. And then you can just click to go straight to it. So you can see 29 items to reconcile here in this checking account. And you know what I really like is you can actually, like, hold command and click or it didn't work this time, but in my other browser I can just open it in a new tab so I don't lose it. Um, you can see overdue invoices, overdue bills. Just click to go to it. They've got a widget for recent invoice payments, which is nice. And you can just click through the invoice and they've got this handy cash in and cash out widget.

David Leary: [00:55:51] So is this all um, blinking out? Uh, is this all the stuff that you were seeing, or is this just the new homepage? And you're now you're going to show me the system?

Blake Oliver: [00:56:00] Yeah. Sorry. I got ahead of myself. Right? This is just the new homepage. Now, now, here's the syft analytics. Um, actually, how do I get over there? Oh, here we go. Analytics. So the business snapshot, this is access dashboards. Here we go. So it opens up in a new tab. Wait why didn't it load.

David Leary: [00:56:23] That's the same screen you showed me before. I'm not impressed.

Blake Oliver: [00:56:26] Come on, come on. Sift access dashboards. It's not loading for the demo company.

David Leary: [00:56:32] No, I think you're clicking the wrong button. Click that other button that says dashboards Powered by Sift. I think you're clicking the wrong button.

Blake Oliver: [00:56:38] I said access dash o dashboards powered by sift. Okay.

David Leary: [00:56:40] Yeah. Try that.

Blake Oliver: [00:56:42] All right, let's see. Nope. I guess the demo company doesn't work that way.

David Leary: [00:56:46] Oh.

Blake Oliver: [00:56:48] Well, should I just show? Should I show everyone our earmark dashboard?

David Leary: [00:56:53] Oh, I mean, as long as no account numbers are on there, I don't want no people doing fraud on us.

Blake Oliver: [00:56:57] Right here. I'm going to try opening it up. Let's see.

David Leary: [00:56:59] Look at it first without screen sharing. Make sure.

Blake Oliver: [00:57:03] Oops. I looked at it with screen sharing. My bad.

David Leary: [00:57:06] I cover with my finger. Is that help?

Blake Oliver: [00:57:09] Um. All right, here we go. Let's see. I'm gonna I'm gonna open this up. First. I'm going to go to the Sift Analytics, uh, business snapshot. It's confusing because they built some dashboards that were not sift. And then they added sift. All right. So let's see. Here's one that I like. It's they just have this like cash flow manager tool. It's like a short term cash flow projection. So you can see here it shows you like today's bank balance today's cash movement. And then it projects like the next 1 to 7 days of cash movement. And then the next 8 to 30 days of cash movement. And it gives you this like calendar view. And then you can change and add cash in and out to update the estimate.

David Leary: [00:58:00] Okay. So this is just a I know I'm going to have this revenue impacting thing in the future. I'm not recording an accounting transaction. It's just to have my my projections.

Blake Oliver: [00:58:10] Yeah. So I mean that's that's pretty neat I like that. Um, they've also got like dashboards. You can build that show charts for net income over time. Total income, expenses, uh, margins, operating expenses, all that stuff. And they're really. They're really attractive. So I don't think this was a good move for zero to be able to build that in, because now I don't have to export to Excel to build visualizations for clients or for investors. I can just do it right there in zero. Uh, and what else is new with zero? That's it for them. How are we doing on time? We're almost at the end.

David Leary: [00:58:50] Yeah, I have to take a call. Believe it or not, with Bank of America. So.

Blake Oliver: [00:58:54] So you got to go.

David Leary: [00:58:55] I kind of have to go. We didn't talk about, uh, kind of. Maybe we have to see it for next week. But Trump is suing the IRS for $80 billion, so.

Blake Oliver: [00:59:02] Maybe we'll have a better.

David Leary: [00:59:03] Understanding next week.

Blake Oliver: [00:59:05] 10 billion. Right?

David Leary: [00:59:06] Oh, 10 billion, 80 billion, 80 billion was the old budget. Yes. This is one eighth of the budget. That's right. 80 billions. The old budget.

Blake Oliver: [00:59:14] All right David. Well, good luck dealing with the real Bank of America fraud team. And thanks everyone who joined us live. Don't forget to earn free continuing professional education credits for listening to this show, and many other fine accounting and tax podcasts. Go to earmarked in your web browser, or get the free app from the App Store or Google Play Store and subscribe on YouTube. Search for the accounting podcast on YouTube. Subscribe. Hit that notification bell icon. You will get notified when we go live and you can join us. We are streaming most Friday mornings. Uh, just, you know, stick around. We we we never we don't really have a set start time yet. We want to try to do that.

David Leary: [00:59:54] But one struggle, one question came up. You have to answer before you go.

Blake Oliver: [00:59:57] Okay. Where can people get my book? Oh, awesome. Thank you for asking. Go to @BlakeTOliver. That's Blake@blakeoliver.com Blake@blakeoliver.com. And there's a link there where you can order it on Bookbaby. You can also order it on Amazon, but Bookbaby is direct, so it might get to you faster sometimes. Amazon runs out of copies and they have to reprint them, and that takes a long time.

David Leary: [01:00:20] It's Blake Oliver book.

Blake Oliver: [01:00:22] Yes. And ironically, there's not yet a digital version of the book available. It's only print, but we are working on a digital version and an audiobook, and I hope that very soon you'll be able to earn CPE credit for listening to the audiobook version. So if you already have the print book and you've read it, then you can just go on and take the quiz and get your CPE. So we'll see how many I.

David Leary: [01:00:45] Have to order it, because you still haven't given me one, so I might have to order the book.

Blake Oliver: [01:00:48] I've got a giant box of them in my closet that I keep forgetting to. I just put them in my car or something like that. But, um. Yeah. Thanks everyone and so much to talk about next week, because basically we just spent the whole time talking about app news. Yeah, lots more features.

David Leary: [01:01:04] I have to go for sure. All right, all right.

Blake Oliver: [01:01:06] Bye bye, David. Bye, everyone.