Red Oak's Podcast
Red Oak's Podcast
Red Oak Reflects: 2025’s Contradictions and the Compliance Reality of 2026
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2025 was a year of contradictions: explosive AI adoption with no governance, softer regulatory tone with unchanged rules, and rising innovation alongside rising risk. In this episode, Red Oak’s thought leaders break down what really happened in 2025—and why 2026 will demand faster, smarter, connected ways of working across compliance, marketing, distribution, and supervision. From AI auditing AI to the coming wave of retrospective enforcement, this conversation makes one thing clear: firms that stay siloed won’t survive what’s next.
Welcome back to the deep dive. This is where we take a deep focused look at the source material you share with us, and we uh we really try to transform that heavy-duty research into genuinely memorable insights. And this time you handed us a stack of analysis from Red Oak's Thought Leaders. It looks back at the crucial trends that shaped 2025 and um really sets a clear, maybe even unsettling set of expectations for 2026.
Speaker 2Yeah, especially for the financial services landscape.
Speaker 1Right. If you work in this sector, 2025 probably felt like I don't know, like walking on two parallel tightropes at the same time.
Speaker 2That's a great way to put it.
Speaker 1And the analysis, it just captures this perfectly. It highlights these bizarre contradictions. For instance, you had this massive push for efficiency with AI, a total technology explosion.
Speaker 2But with no governance.
Speaker 1Exactly. No regulatory guidance, no framework. And then at the same time, the regulatory tone from Washington felt, you know, lighter, almost laissez-faire.
Speaker 2But the rules themselves hadn't changed one bit.
Speaker 1Not a single page. It was a year where every solution seemed to create a new immediate risk.
Speaker 2It was. It was a year defined by firms trying to accelerate while, you know, simultaneously hitting the brakes. And that tension, it creates enormous compliance pressure.
Speaker 1For sure.
Speaker 2So our core mission in this deep dive is really to extract the signal from that noise. How can firms actually achieve that role the analysts talk about? Working in a faster, smarter, connected way.
Speaker 1Cross-marketing, compliance, distribution.
Speaker 2All of it. All of it. And the real challenge is doing all of that without accidentally introducing some kind of catastrophic retrospective risk down the line.
Speaker 1That's the crux of it. If you feel like your firm is building a rocket ship with tools that are still sitting in separate workshops, you're hitting the nail on the head. Okay, let's unpack this and start with uh the biggest, most volatile shift, the sources identify. The AI explosion. Right. The sources confirm what I think everyone felt on the ground. 2025 was the breakout year for integrating AI into financial services.
Speaker 2No question.
Speaker 1Firms were under immense internal pressure, especially compliance teams, to deploy AI for content review, for workflow automation.
Speaker 2All the efficiency gains. But as Red Oak notes, the problem quickly flipped. It went from how do we adopt it to how do we possibly oversee it.
Speaker 1And that oversight challenge is what's defining the regulatory future.
Speaker 2Exactly. The chief technology officer, Rick Grashel, he makes this fascinating prediction for 2026. He argues the environment is shifting from simply allowing firms to use AI.
Speaker 1To expecting it.
Speaker 2To expecting it. And even more dramatically, he predicts that regulators and internal audit teams are, and I'm quoting here, poised to deploy AI against your firm's output.
Speaker 1That specific tension is fascinating to me. It's not just human auditors looking at decisions anymore. It could be AI versus AI on the audit front line.
Speaker 2It completely changes the game.
Speaker 1So if a regulator's algorithm finds your firm non-compliant, it just raises the stakes immensely on how precisely you deployed your own tech.
Speaker 2Aaron Powell It shifts the entire definition of what compliance even is. And that leads directly to this core insight from Mike Lubansky. AI governance is no longer optional.
Speaker 1It's non-negotiable.
Speaker 2It's non-negotiable. Firms that rushed implementation, you know, focusing only on speed and efficiency without real guardrails, they're facing serious exposure.
Speaker 1So to withstand that kind of tech-assisted audit, what do you need?
Speaker 2You must have comprehensive documentation of the model, clear oversight, strict data retention policies, and crucially explainability.
Speaker 1Okay, tell us more about explainability in practice. It's a term we hear all the time, but what does it actually mean for a compliance process?
Speaker 2It means you can't just say, well, the AI flagged this ad as noncompliant.
Speaker 1The computer said no.
Speaker 2The computer said no, exactly. You have to be able to demonstrate why. Which data inputs did it prioritize, which policy was violated?
Speaker 1Was the training data itself biased?
Speaker 2That's a huge one. For compliance purposes, that audit ready precision means being able to instantly reverse engineer the model's logic and prove that the firm acted responsibly.
Speaker 1Defensively.
Speaker 2And defensively based on verifiable criteria. Without that layer, I mean the efficiency gains are just completely outweighed by the legal risk.
Speaker 1And as this whole governance puzzle is being solved, the C-suite is demanding results. The sources call 2026 a pivotal put-up or shut-up year for AI ROI.
Speaker 2Yeah, the rubber has to meet the road.
Speaker 1Right. If executives don't see tangible bottom line proof that this massive investment is paying off, we're going to see a split. Some firms will double down and others will do a very careful strategic pullback.
Speaker 2The win condition here, according to the analysts, it's not about using the most AI. It's about using it from a compliance-first lens.
Speaker 1So implemented responsibly.
Speaker 2Responsibly, defensively, and with that audit-ready precision we were just talking about, the kind that will withstand a rigorous review, whether it's by a human or their new AI counterpart.
Speaker 1So it treats AI as a risk mitigator, not just a cost saver.
Speaker 2That's the key.
Speaker 1Okay, let's pivot to the second major theme because it perfectly captures the psychological trap facing the industry right now. The duality of regulation and retrospective risk. The sources noted this strange, almost relaxing regulatory atmosphere in 2025. You had a major political administration signaling a lighter enforcement tone. Right. And longtime industry observers noted that FINRA's communications felt, you know, more laissez-faire than they were used to. If you're a firm trying to move fast, that seems like a green light, right?
Speaker 2That's the duality and that's the danger. Co-founder Cathy Vasilev pointed out the crucial counterpoint. She reminds us that while the political pendulum swings, which dictates the enforcement tone. Right, the tone. But as she says, none of the existing regulations disappear. Firms still have the exact same obligations for documentation, for books and records, for cybersecurity that they had five years ago.
Speaker 1So misinterpreting a softer tone as a softening of the actual rules. That's the trap.
Speaker 2That is where massive integrated risk just emerges.
Speaker 1I see the tension there. I mean if the environment feels easier, aren't some firms almost forced to take shortcuts just to stay competitive?
Speaker 2Absolutely. And that decision, it'll be judged in the future. Chief Operating Officer Kirsten Newbold-Knipp warns that even if SEC enforcement slowed down in 2025, regulatory action is inherently retrospective in nature.
Speaker 1So the decisions made today.
Speaker 2The shortcuts, the undocumented AI workflows, the lack of proper retention, all of that will be examined two or three years from now. By then, the political climate could be completely different.
Speaker 1And you're left exposed.
Speaker 2Exposed to massive fines for decisions that felt okay at the time. The time lag is the real risk.
Speaker 1It sounds like the safest strategy is just tight processes and built-in auditability, no matter who is in office.
Speaker 2And the industry is expecting a massive wake-up call on this. Red Oak's leaders are very specific here. They predict the first major AI-related fine.
Speaker 1Hitting an early adopter who cut corners.
Speaker 2Probably. And it will be a massive industry shockwave. It will instantly trigger a reaction, likely driving new regulations or at least a rapid hardening of the regulatory posture overnight.
Speaker 1Wow. And that one event will basically validate the regulator's strategy of just waiting and reviewing. So what kind of turbulence did the analysts list for 2026?
Speaker 2A few key things stand out. We should prepare for uh significantly increased documentation demands, especially around those AI workflows. There's also the potential for market instability, a major correction, for instance, which always triggers a regulatory response. And finally, greater scrutiny of existing rules, not new ones, plus a deep sustained focus on cybersecurity.
Speaker 1So the foundations haven't moved.
Speaker 2Not at all.
Speaker 1So while the focus has been on new tech and old rules, let's shift to the actual investment products because complexity is rising there too, and compliance workflows have to keep pace.
Speaker 2Dramatically.
Speaker 1The sources show the traditional 60-40 portfolio is just it's not enough for modern tax-sensitive investors anymore. And the engagement data on this is wild.
Speaker 2Yeah, that 4U platform data is something else.
Speaker 1Chief Distribution Evangelist Anita Heisl shared it. The search term direct indexing saw a stunning plus 3,221% surge in engagement.
Speaker 23,000%. That isn't a fad. That's a fundamental change in what investors are demanding.
Speaker 1It's a huge shift.
Speaker 2A huge shift toward after tax returns, personalization, control. Direct indexing is moving from this niche service for the super rich to a mainstream expectation.
Speaker 1And this trend isn't isolated, right? It's part of a bigger move toward more sophisticated account solutions.
Speaker 2Exactly. The trend extends across similar structures. Engagement with unified managed account or UMA content was up 608%.
Speaker 1And separately managed accounts.
Speaker 2SMA content was up 224%. And this complexity, it's driven by client demand, but it's also a direct response to regulatory expectations, especially under Reg BI.
Speaker 1Regulation best interest. So how do UMA and SMA structures help with Reg BI compliance specifically?
Speaker 2They help because they enable centralized supervision. They create consistency. If you have hundreds of individual brokerage accounts, documentation is, well, it's a nightmare.
Speaker 1Scale by account.
Speaker 2Right. UMA and SMA structures let firms manage model portfolios centrally. And that inherently gives you better documentation, a more consistent client experience, and a much clearer audit trail.
Speaker 1Which is what you need to prove you met the best interest standard.
Speaker 2Precisely.
Speaker 1Beyond account structures, Newbold-Knipp also highlighted the complexity of the products themselves. We're seeing these almost hybrid financial products.
Speaker 2Yeah, I like the term investment turduckens. You're seeing alternative strategies wrapped inside familiar things like mutual funds or ETFs.
Speaker 1or insurance products with really complex tax components.
Speaker 2Right. And these products, they're financial feats, but they often span multiple regulatory regimes. You might have an insurance component and a securities component in the same product.
Speaker 1And compliance has to coordinate across different rule books.
Speaker 2Simultaneously. It dramatically amplifies the need for speed. You can't let compliance be the bottleneck when innovation is moving this fast.
Speaker 1Let's look at what advisors themselves are searching for, starting with the investment outlook content they were consuming heavily in December 2025. Okay.
Speaker 2Red Oak's partners identified five major themes for the coming year.
Speaker 1And these themes, they really provide the context for all the compliance pressures we've been talking about.
Speaker 2They do. First, AI has to prove its ROI in the investment space. So focus on durable cash flow, not just spending on tech. Valuation discipline is key. Got it. Second, while economic expansion is anticipated, high government debt and tight liquidity mean the margin for error globally is Well, it's razor thin. Okay, the third theme is about income. As rates trend lower, the starting yield matters more than trying to time the market.
Speaker 1Exactly. Reinforcing the role of income generating assets. Fourth, diversification has to evolve. The analysts stress that relying on traditional stock and bond correlations is less reliable now.
Speaker 2Because of sticky inflation and something they call fiscal dominance.
Speaker 1And fiscal dominance is crucial here. It's the idea that government spending and debt levels might dictate central bank policy more than inflation targets do.
Speaker 2That kind of instability breaks the old models.
Speaker 1It breaks them. And finally, the fifth theme. 2026 is expected to be a year of dispersion, not broad-based gains. This is a direct warning to passive investors. Passive exposure, they say, will not cut it.
Speaker 2So you need active oversight, which again puts immense pressure on compliance to quickly approve materials for those active strategies.
Speaker 1It all connects. But beyond market themes, what were advisors searching for when volatility hit in 2025?
Speaker 2We got a fascinating snapshot of behavior during uncertainty. When major events happened, advisors immediately turned to compliant educational content.
Speaker 1So what were the top searches?
Speaker 2On the 4U platform, terms related to tariffs, the big beautiful bill, that big infrastructure and climate legislation and the government shutdown. It shows that when clients are nervous, advisors need timely, approved materials.
Speaker 1And linking back to our first section, AI-related searches by advisors climbed 60%.
Speaker 2Right. It tells us that advisors and their clients expect their wealth platforms to help them understand and navigate the AI revolution.
Speaker 1Yet the sources also show the enduring priorities are still those deeply personal decisions.
Speaker 2Always. Social Security, Medicare, retirement, estate planning, long-term care.
Speaker 1And all of this, the complexity, the volatility, the tech the client needs, it funnels into our final and most urgent section.
Speaker 2The overwhelming need for a connected ecosystem. Principal product advisor James Cella issued a pretty significant warning about content volume. He expects it to dramatically increase in 2026, driven by volatility and the digital shift. As he puts it, the industry is talking less and typing more.
Speaker 1And every digital piece, every email, every social post, every AI-generated draft adds to the compliance workload.
Speaker 2It has to be supervised across a constantly growing number of channels.
Speaker 1And the sources pinpoint the bottleneck. It isn't bad software, it's the disjointed technology, siloed solution.
Speaker 2It's the gaps. The problem is the numerous manual handoffs between platforms, departments, and vendors. That's where risk, as Red Oak notes, can creep in unnoticed.
Speaker 1And that's why firms are now rapidly prioritizing integrated ecosystems. They need systems with complete visibility, scalability, and seamless risk controls that span all the teams.
Speaker 2Marketing, legal compliance, all in one view. It's really the only way to manage the workload without hiring dozens of new analysts.
Speaker 1And looking ahead, the analysis points to the emerging importance of semantic layers and shared industry ontology. Now this sounds like jargon.
Speaker 2It does, but it's actually the key to what they call connected intelligence. Think of an ontology as a universal dictionary for all your firm's data and processes.
Speaker 1So all the platforms speak the same language.
Speaker 2Exactly. And as AI's role in reg tech grows, that connective intelligence allows the firm to understand context across different users, roles, and companies instantly. A term flagged by compliance in one department is flagged correctly and consistently everywhere.
Speaker 1So what does this all mean for you listening? The ultimate solution being prioritized is a connected platform that eliminates that friction, proactively reduces risk, and gets approved materials out the door when advisors need them.
Speaker 2All backed by robust, centralized books and records controls.
Speaker 1This has been a fascinating journey. We've gone from the AI governance gauntlet through that regulatory duality of soft talk and hard rules, the rising complexity of products, and that constant content flood. The central takeaway for 2026 seems to be that if you operate in silos, you simply cannot mitigate integrated risk.
Speaker 2And that leads to the core requirement for the coming year: achieving tight connected processes with guaranteed auditability built in at every single stage.
Speaker 1Because the tech and the expectations are evolving faster than the written rule.
Speaker 2Far faster. And in that kind of environment, that defensive strategy is the safest and most defensible approach.
Speaker 1It provides clarity in a very uncertain time. And it leaves us with one final provocative thought, and this comes directly from the source material. Okay. If regulators are poised to deploy AI to audit a firm's compliance decisions, and firms have to rely on their own internal AI to achieve that audit ready precision, what happens when those two powerful algorithms fundamentally disagree on what is compliant? Will the future of financial compliance ultimately hinge entirely on which algorithm has the superior and most defensible explainability framework? That is a challenge worth contemplating.