The AI Daily Brief: Artificial Intelligence News and Analysis - Why AI Will Take Over the $20T Professional Services Industry

Starting point is 00:00:00 Today on the AI Daily Brief, why AI will take over the $20 trillion professional services sector. The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI. To join the conversation, follow the Discord link in our show notes. Hello, friends. We are right smack in the middle of the agent hype cycle. And I think something that's extraordinarily important right now is to be able to mentally separate the potential for hype and over-expectation of what agents can do right now, being dismissive of the trajectory that they're on. In short, I think it's inevitable that at any given

Starting point is 00:00:37 moment in time, people will and companies will overstate how capable agents are. This is just the nature of startups. They're always going to overpromise because they're living in the future. They see what's coming down the line and so they nudge up what's possible because in their heads it is. At the same time, I think companies that are using that slight gap in what agents say they can deliver versus what they actually can as an excuse to just wait on agents, I think that those companies are going to be making a big mistake. And so today we are going to officially zoom out into the future with an exploratory post from venture capitalist Ethan Betraski called the Great Legacy Extinction, AI's $20 trillion takeover of professional services. This gets out a theme that you're seeing a lot right now,

Starting point is 00:01:17 with the idea that agents are going to be massively bigger than previous software categories. For example, you might remember a Y Combinator podcast from last year, where they argued that vertical AI agents could be 10 times bigger than SaaS. And this is, of course, based on the idea that agents are going to actually compete, not for software budgets, but for effectively labor budgets. So let's read some excerpts from Ethan's piece, and then we'll discuss it a little bit more. And this is this time me reading, not AI reading. Ethan writes, from elite law firms and accounting powerhouses to insurance conglomerates and management consulting dynasties. The professional services industry represents a staggering $20 trillion global market. This massive sector remains

Starting point is 00:01:53 dominated by human-driven low-tech businesses where Titans have built their brands on historic reputation and prestige rather than measurable performance. They operate on centuries-old business models relying on armies of highly paid professionals working through labor-intensive processes that have barely evolved since the typewriter gave way to the word processor. That is about to change. A new wave of AI-native professional services firms is emerging, promising to re-segment this $20 trillion industry and relegate the legacy guard to history. While many focus on AI making existing software more efficient, the true revolution is happening as AI pushes directly into domains previously exclusive to human experts.

Starting point is 00:02:27 Strategic negotiations, creative problem solving, and high-stakes decisions. These critical domains have remained severally resistant to software automation until now. And then Ethan breaks it into, on the one hand, legacy professional services versus, on the other hand, elite AI-driven professional services. The legacy services, he says,

Starting point is 00:02:43 will be dominated by established incumbents. They'll have knowledge siloed by human experts with limited documentation. Their services will be bottlednecked by human cognitive and time constraints, and they'll have a premium pricing model based on artificial scarcity. On the other hand, and you can see where Ethan's bias lies in terms of what he thinks is going to be better, the AI-driven professional services will have AI-needed firms,

Starting point is 00:03:04 delivering demonstrably superior outcomes, expertise amplification across entire organizations, services that scale beyond traditional human constraints, and new models of value-based pricing tied to measurable outcomes. Now, where he thinks the most vulnerable service verticals are include tax advisory services, property and casualty insurance, legal services, accounting and audit, and wealth advisory. In each case, he shares some of the reasons why AI might be disruptive. For example, in tax advisory services, AI is likely to be good at complex tax code interpretation. In legal services, they're likely to be good at precedent analysis. In accounting, AI is likely to be better than humans at anomaly detection, et cetera.

Starting point is 00:03:41 And the common thread here is basically that each of these different areas have huge volumes of specialized information or data, that AI once it has access to, is simply going to be better at sifting through more quickly. He gives one legacy leader in each category and points out that alone, those five incumbents represent 240 billion in annual revenue and employ 900,000 people. Ultimately, the way that he sees it is this. The subsector's most vulnerable to AI disruption generally involve more structured data processing and clear rule application, while the less vulnerable to AI disruption, still contain significant judgment elements within well-defined frameworks. Today's episode is brought to you by Vanta. Trust isn't just earned, it's demanded.

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Starting point is 00:05:47 We had previously had an offer where for AI Daily Brief listeners, if you email us at agent at B-supert.a. with the word Lindy and the title, we'll connect you to the Lindy team who can help you build a specific custom agent in a matter of days or weeks for less than $20,000 a year. It's a great way to dive in and just get your feet wet with agents. Today, however, Lindy announced something very cool. Specifically, agent swarms. If you've heard my doctor's strange theory of AI agent work, this is basically that brought to life. Instead of an agent doing research on sales leads, one at a time, you could spin up a swarm of 200 Lindy agents, all doing different research and writing custom emails, so that in a matter of seconds, you could be sitting on 200 custom emails ready to go for each of

Starting point is 00:06:29 those different leads. We've been playing around with swarms for research, for content production, for sales, and it is very much a glimpse of the future. So again, if you are interested in Lindy, send us a note at Agent at Bsuper.a.I. Put Lindy in the title, and we will get right back to you. So what then will the firms of the future look like? Ethan is putting together five core principles that he sees at the center of the anatomy of a, quote, elite AI-powered services firm. The five-core principles are human AI partnership architecture, comprehensive domain mastery, institutional memory and continuous learning, workflow integration and automation, and transparent and auditable intelligence. The human

Starting point is 00:07:06 human AI partnership architecture is basically Tony Stark, with AI providing real-time cognitive enhancement. Comprehensive domain mastery, that's what we were talking about, that's specialized data, that's what AI excels at. Institutional memory and continuous learning. Basically, the idea here is that whereas a huge amount of information in existing client engagements for these professional services firms is siloed in the context of that engagement, with these new AI powered firms, as he puts it, persistent memory retains and learns from every client engagement. That all in its own is an incredibly powerful advantage. Now, of course, when it comes to this idea of workflow integration and automation,

Starting point is 00:07:40 these firms are going to be AI-native from the get-go. They're going to have things like end-to-end automation of routine tasks and documentation, and they're going to have a massive reduction in the time spent on non-value-adding activities. So why would clients actually move to these new professional services, given how embedded and endemic the existing brands are? He sees the reasoning different based on whether you're a consumer or a small business or whether you're an enterprise. For the smaller firms, it's kind of obvious, honestly.

Starting point is 00:08:07 Many of them will have access to this type of expertise for the first time. He writes, AI-native firms offer enterprise-grade expertise to all clients regardless of size. Small businesses receive the same quality of advice previously exclusive to Fortune 500 companies. This is absolutely something that I am 100% convinced of, that whereas in the past, consulting was restricted to an extremely small set of firms, this type of professional service is now going to be available to everyone for a huge array of different decisions and challenges and opportunities. He also thinks that transparent fixed pricing, instant 24-7 responsiveness, and what he calls objectively superior results will drive consumers and small businesses to these new

Starting point is 00:08:43 AI-native firms. On the enterprise side, he thinks that the verification capabilities of AI-native firms, their ability to more seamlessly integrate with modern operations, their institutional knowledge continuity, and maybe most especially, or at least this is the one that I think is most significant, their ability to scale analysis are going to be the big drivers. Ethan writes, When AI-native firms analyze 100% of relevant cases, regulations, and scenarios, while legacy firms sample only 5 to 10%, the performance gap becomes undeniable. Now, of course, this won't happen overnight, and he views human AI partnerships, process transparency, empirical performance data, and heritage brand partnerships as key trust

Starting point is 00:09:22 accelerators throughout the transition. Ultimately, he predicts, though, by 2030, AI augmented service delivery will be the expected standard, with traditional human-only approaches viewed as expensive anachronisms in most professional domains. Ultimately, he calls this perhaps the largest opportunity in the AI landscape today, a once-in-a-generation opportunity. He concludes, what makes this moment historic isn't just technology improvement. It's a fundamental expansion of human capability. Like software's transformation and manufacturing, AI will redefine what professional services can be, democratizing access to world-class expertise previously confined to elite firms serving the largest enterprises. So this is something I'm

Starting point is 00:09:57 thinking a lot about right now. Superintelligent is among the companies that is deploying voice at scale, and I've been thinking a lot about how voice agents all on their own could, frankly, crush the consulting business. If you think about what many of these professional services firms actually charge for, what it comes down to being, of course, way overly reductive, is one, specialized expertise, two, the time it takes to do information gathering and discovery, and three, proprietary knowledge. AI and agents basically instantly negate two of the three. In a world of LLMs trained on the entire corpus of human knowledge, expertise moves from scarce and expensive to abundant and cheap.

Starting point is 00:10:36 In a world of on-demand voice agents, information gathering is basically only constrained by people's willingness and availability to talk. All of a sudden, very quickly, you are looking at a fundamental shift in where the value is actually coming from. Now, proprietary knowledge remains differentiating. The firms out there that have built specialized expertise that have access to their previous corporates of knowledge have something unique to build from. In the case of Super, for example, in our agent readiness audit,

Starting point is 00:11:03 we've spent a ton of time and spent a ton of time maintaining an extremely up-to-date knowledge base of current agent capabilities. That's not data that's organized elsewhere or easily found on the web, meaning that that is an advantage that we have that is differentiated in that proprietary knowledge bucket. Now again, as Ethan points out, this is not to say that professional services are going away. It's just the structure of them is going to change. The business models are going to change, The nature of engagements is going to change. The expectations from customers is going to change. The types of problems that they're used to solve is going to change.

Starting point is 00:11:34 This is a tectonic shift. And one that I think professional services firms would be very wise to take very seriously. Now, in our experience, they absolutely are. In fact, these are some of the firms that are most attuned to these changes. But there's a difference between being attuned and actually being willing to disrupt yourself. And I think the ones that are willing to actually disrupt themselves are the ones that will win. For now that that's going to do it for today's AI Daily Brief. Appreciate you listening or watching as always, and until next time, peace.

The AI Daily Brief: Artificial Intelligence News and Analysis - Why AI Will Take Over the $20T Professional Services Industry

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