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title: Marketing Through the Supercycle | The Ricciardi Group
description: As the AI supercycle shifts from hype to scrutiny, buyers are getting skeptical. See how financial brands win on credibility, authenticity, and relevance.
---

![The Ricciardi Group](data:image/png;base64,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)

[Intro](https://resources.thericciardigroup.com/marketing-through-the-supercycle#intro) [Customer Truth](https://resources.thericciardigroup.com/marketing-through-the-supercycle#truth) [The Arc of a Market Cycle](https://resources.thericciardigroup.com/marketing-through-the-supercycle#curve) [Brand Truth](https://resources.thericciardigroup.com/marketing-through-the-supercycle#brand) [Tactics](https://resources.thericciardigroup.com/marketing-through-the-supercycle#directive) [Methodology](https://resources.thericciardigroup.com/marketing-through-the-supercycle#methodology)

Thought Leadership · The Super Cycle September 2026

# Finding the Marketing Opportunity Beyond the Hype

We are living through a historical market supercycle, powered by the AI-driven economic restructuring and the hundreds of billions of dollars a year being funneled into compute, power, and related physical infrastructure across the globe.

Across our financial services clients, the marketing impacts of these movements are top of mind, as market forces are driving rapid evolutions across categories and therefore shifting client behavior along with it. More and more often, clients are coming to us with a similar question:

What is the right marketing approach for this seemingly unprecedented moment?

In this interactive guide, you’ll learn

1. What sets this supercycle apart from the ones before it
2. How synthetic personas reveal what your buyers really think about the moment
3. The arc of a market cycle
4. How to adapt your marketing to each phase of the cycle
5. Which frameworks sharpen your brand strategy along the way
6. How to build a strategy that outlasts the hype

### Marketing, Meet Supercycle

This supercycle is distinct from others because of the sheer amount of capital involved, as well as the way that capital is moving through the market. Traditional lines between bank lending, private credit, structured credit, and public capital markets are blurring, and the hyperscalers are stacking financing from across partners, markets and structures. At the same time, the investor base has widened, with shifting regulations opening more avenues for retail investors.

Hyperscaler Surge $121B in corporate bonds issued by hyperscalers in 2025 — over 4x their five-year average Source: BofA Securities

Infrastructure Capital Scale $221B→$3T raised in 2025, on pace to reach $3 trillion in assets by 2030 Source: Goldman Sachs

Retail Capital Opens $80B→$2.4T projected growth in retail allocations to private capital by 2030  

How the personas were built

Our synthetic AI personas are built from hundreds of publicly available records — government data, authoritative industry research, and media and social conversation — curated and weighted by authority and accuracy.

But understanding the market motions isn't enough to guide financial services marketers. We turned to our proprietary synthetic personas for insight. Our persona research engine is built on 12 years of domain expertise in financial services to prioritize, analyze and surface insight from the most credible, authoritative, and relevant sources, weighting them accordingly, and synthesizing them into personas that are deeply nuanced. The insight derived from our analysis may surprise you.

What follows are our findings, along with the specific strategies and tactics you can start implementing today to get ahead of the market's next phase.

The Customer Perspective

## The Pattern Behind the Hype

Our research called upon the synthetic personas that are currently at the center of the market's capital movement: institutional investors, corporate treasurers, independent wealth advisors, and wirehouse advisors. These are the buyers our clients are most often trying to reach, and their experience of the market shapes the way they respond to brands. We put them into focus groups and asked them about how they see this moment in time and the messages that move them.

Across all groups, there was one overarching sentiment: there's a reason we call them cycles. This “super” cycle, like the ones before it, is expected to follow a predictable pattern. Customers in our focus group see this, and are already moving beyond the hype. While on the surface, the speed, scale, and sheer novelty of innovation in AI and finance makes the current moment seem unprecedented, to our focus groups, the precedents are clear, and the skepticism is starting to creep in.

Each set of synthetic personas showed a skepticism with individuals pointing to historical market cycles that all followed familiar patterns:

### Institutional Investors

When one CIO heard "supercycle," they ran through the previous iterations, recalling how the dot-com telecom buildout ended with dark fiber sitting unlit for years, and how funds that raised in '99 could own the same asset as funds that raised in '02, but with wildly different outcomes.

### Corporate Treasurers

One treasurer declared that "every ten years somebody hands me a new word for the same old problem," while another agreed that "the supercycle is just the latest name for the same bet every generation makes."

### Wirehouse Advisors

An advisor with twenty-nine years of experience stated that she's "been through enough cycles to be skeptical of most things that call themselves new," recalling that she approached 2001 with the same attitude.

### Independent RIAs

One RIA, twenty-two years into running his own firm, reached for the same reference point unprompted: the wave of RIA consolidation that followed the '08 crisis, and the lesson he took from watching which firms held up and which didn't.

Ricciardi Group Framework

## The Arc of a Market Cycle

How buyer behavior tracks the market's curve

In any market cycle, buyer behavior follows a predictable arc, with three phases, each demanding its own marketing approach. Select a phase to see how it plays out.

You Are Here

01Excitement

02Saturation

03Discernment

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)

The Brand Imperative

## Lean into credibility, authenticity, and relevance

You can already feel it, and our focus groups confirmed it: the current supercycle is turning the corner from Saturation into Discernment. That means that brands can no longer rely on market momentum to drive growth. They need to move away from capability-focused messaging, reground themselves in their brand truth, and zero back in on the narrowing overlap with the customer truth. That space is where they'll find their unique answer to the customer's skepticism and discernment.

Two frameworks to get there

At a higher level, it's important to keep tabs on your brand, regularly auditing it against your brand truth. Before you build anything else, you need to determine what you've actually earned the right to claim. Start with the facts, whether it's your track record, a specific capability, a specific outcome, or an undeniable proof point. From there, you can use key frameworks to hone your brand strategy:

#### The Benefit Ladder

Find your whitespace and right to win

Every brand's positioning sits somewhere along the brand benefit ladder, with purely functional claims at the bottom and higher-order trust or benefit claims at the top. As Discernment deepens:

- Brands that sit too low, touting table-stakes capabilities, will appear behind the market.
- Brands that sit too high, claiming trust or judgement without supporting track record, sacrifice credibility.

The right rung for your brand matches what's actually been proven, checked against the audit of your brand truth.

#### The Hurricane Model

Map present messaging against future possibilities

We use a hurricane model when we're thinking through how brand messages will play out in the future. Based on the classic weather forecasting tool, the model starts tight and confident for today and tomorrow but widens as it gets farther out. When you use it for planning your brand positioning, it can help you determine when to roll out key messaging and keep you from overcommitting to a version of the future that may or may not happen.

The key in this moment is to establish authority that your brand has a real right to earn, and ground it in your value proposition and differentiators. As customers turn away from buzzwords and polish, brands need to do three things:

01

### Demonstrate Specific Credibility

Tap to read more

01

#### Demonstrate Specific Credibility

The bar for credibility is high, particularly in the Discernment phase of a market cycle. Claims need to reinforce what a brand has actually earned, rather than trying to keep up with the category conversation. Specificity is essential to getting it right:

- If you have real credibility and you lead with generic claims, you're selling yourself short.
- If you overpromise before you've earned it, you'll break your audience's trust.
- It's ok to be forward-looking, but getting too far out in front can get your brand into trouble.

Tap to flip back

02

### Show Authenticity and Humanity

Tap to read more

02

#### Show Authenticity and Humanity

When trust is scarce, customers stop giving it to brands and start attaching it to specific, identifiable people. Buyers want to know who's behind the product and how they think, making thought leadership and executive content a critical tool for communicating with nuance and highlighting authentic differentiators.

But it's only successful if the faces of the brand can also demonstrate some humanity, as audiences want to hear from an actual human, not just a company mouthpiece. Vulnerability becomes a critical way to build a connection, with anything particularly polished or produced raising alarm bells for the customer.

**2–3x**more reach and engagement on individual LinkedIn profiles vs. the same content from a company page

“

Put a name on the paragraph that admits uncertainty. Not a firm name — a person.

Synthetic Institutional Investor

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03

### Calibrate the Trust Signal to the Audience

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03

#### Calibrate the Trust Signal to the Audience

The customer truth can vary by audience, and different audiences look for different trust signals, so it's important to create tailored content. They all want a vendor they can trust, but exactly what that means is different for each persona.

Treasurers

Wanted the proof points from a live stress test.

Institutional Investors

Wanted to hear real, unrehearsed answers, even if they reveal some hesitation.

RIAs

Wanted real, demonstrated empathy with their end clients.

Tap to flip back

“

Show me the methodology or show me a real client outcome — and I mean specific, not "advisors saved 40% time using our tool."

Synthetic Independent RIA

**You Can't Have Just One.** To build the authority to stand out in this moment where the market has reached saturation and make it through the highly competitive Discernment phase, brands need credibility, authenticity, and relevance. If one quality is absent, audiences can sense the gap, even if they can't pinpoint exactly what's missing. That leaves an opening for doubt to creep in, undercutting any hard work you're doing to communicate the other qualities.

The Marketing Directive

## Build now for what's next

Supercycles move faster than most brands' planning horizons. This problem is only compounded by the fact that your customers want to feel like you're ahead of the game, moving to where the market is going, rather than reacting to where it currently is. The good news is once you understand the cycle's underlying patterns, it is possible to prepare for what's to come.

As we move from the Saturation phase into one driven by Discernment, marketers need to plan for a more skeptical audience. If you start shifting your resources to Discernment phase tactics now, you'll be working from a position of strength as everyone else scrambles to catch up.

To prepare for Discernment, consider these tactics:

01Meet skepticism with personal relevance Build for more than one audience from the start

While some assets can serve multiple audiences, that should be the exception rather than the rule. Particularly in Discernment, when skepticism is high, audiences are quick to turn away when they feel something isn't relevant to them.

Prepare for that eventuality now by getting in the habit of attacking each idea from multiple angles — for example, with assets for both institutional and wealth audiences — and you won't be stuck trying to retrofit content or processes later.

02Put your experts in real conversation Two people talking beats one person on camera

Video is increasingly critical in building authentic connection between your executives and your audience, but only when it feels genuine and accessible. That type of authenticity comes from videos with a more unscripted feel, with conversations in more relaxed environments outside the boardroom.

In most cases, it takes two or more people actually talking to each other to fully capture the unscripted, imperfect flow of ideas that makes someone read as a person instead of a spokesperson. A more relaxed environment can also help, so consider filming on a walk or over a coffee, to further bring out the authenticity and humanity in the experts you are looking to elevate.

03Build case studies with the people who lived them Let the story come from the room, on camera

A tight written summary is the standard case study format, but it's not the most impactful. Get the people who were actually in the room to tell the whole story themselves, on camera, including the parts that could have gone sideways and why they didn't. In this case, video helps build a human, emotional connection that can't be achieved by a neat set of proof points, while providing a wellspring of content for atomization.

The video interview can serve as the basis for a written recap (which is still a necessity), social shorts, quotes pulled for wealth and institutional audiences, and more. When you divide the same material for multiple channels and audiences, you're also ensuring you get the most value out of your content investment.

04Put time into executive profiles Personal pages are outperforming company pages, and the gap is widening

Personal LinkedIn pages reliably outperform company pages on reach and engagement, and the gap is getting wider. That means the experts featured in the conversations and case studies above shouldn't only be quoted on the company account, but should have their own presence.

Help them bolster their profiles, give them guardrails around company messaging, and support them in content creation so they have their own platform for their expertise. Otherwise the firm has done the hard work of teasing out something real, only to bury it back under the same brand voice.

05Connect with the voice of your customer Use their language, not your assumptions about it

Incorrect assumptions about your customer — what they want or need, and even how they talk about it — can be costly, particularly in Discernment, when buyers are looking for any reason to disqualify an option and simplify their decision.

Use qualitative and quantitative research to dig into the [voice of your customer](https://www.thericciardigroup.com/insights/start-your-marketing-strategy-with-customer-voice) and get a periodic pulse on the customer truth. When you're able to hone in on the challenges your customer is facing and use their own language to discuss them, your marketing is more likely to resonate.

“

Credential gets you in my building. It doesn't get you my trust.

Synthetic Corporate Treasurer

Across all tactics, cross-functional collaboration between sales, marketing, product and customer success or investor relations teams will help you keep a steady pulse on the market, your customer mindset, and your product roadmap.

It's only through open lines of communication that your marketing team will be able to pinpoint the intersection between the reality of what your organization can deliver and the truth of what your customers need, and situate it within the movement of the market. The tactics above require a close pulse on all three to be successful.

Relying on research to infuse the voice of the customer at every stage can be a game changer when the market is moving fast and you are looking to keep your marketing strategy a step ahead. Brands are increasingly looking to synthetic research to accelerate their ability to gain a pulse on the market and their audiences.

71% of global researchers believe synthetic data will make up more than half of all data collection within the next three years Source: Greenbook, “The Secret Life of Synthetic Data: Why It's Taking Over Research”

## It's time to get started

Our focus group revealed that your buyers are sitting right at the point where they stop responding to the polished claims of Saturation's echo chamber and start applying the skeptical lens that defines Discernment. In order to meet customers where they are, brands need to lean away from shine and into signifiers of authentic credibility. Connecting with your audience during the Discernment phase of the supercycle means cutting through the hype with human perspectives and tactics that build connection rather than creating distance — and doing it first, before the rest of the market catches up.

For help identifying the elusive intersection between your customer's needs and your brand truth, or strategies for implementing any of the above tactics, reach out to the team at RG. We're here to help you stay above the hype and ahead of the cycle.

[Let's find your intersection](https://www.thericciardigroup.com/request-strategy) 

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)

Behind the Personas

## Our methodology

See how the synthetic focus groups behind this piece were built, and the safeguards we apply to ensure the findings are directionally sound.

### The three-layer architecture

The synthetic research behind this piece was produced on our proprietary platform, which operates in three distinct layers:

Layer 1

#### The research engine and audience cut

The foundation of the platform is a deep-research engine that builds what we call the audience cut — a comprehensive, data-driven profile of a broad audience segment. For this piece, the audience cut covered seasoned financial services decision-makers: institutional investors, corporate treasurers, wirehouse advisors, and independent RIAs. The engine draws from hundreds of publicly available records, including government data, authoritative industry research, and media and social conversation. Sources are curated and weighted according to their authority and accuracy, with social conversation weighted least. Critically, the curation, weighting, and calibration of all of this is informed by 12 years of hands-on experience working directly with these audiences.

Layer 2

#### Persona generation

From the audience cut, the platform generates individual synthetic personas. Each persona is calibrated to land somewhere on defined variation axes (eg years of experience, risk posture, institutional context, technology adoption) in a logically coherent way, so that when we sample a group of personas, we get a rich smattering across the different dimensions of the audience. For this piece, we set the input traits to reflect the seasoned decision-makers our clients most often target — professionals with 20-plus years of experience — which is why the personas consistently reached for prior market cycles as reference points.

Layer 3

#### The focus group engine

The generated personas are placed into a synthetic focus group environment, governed by a dedicated focus group engine that handles moderation, turn-taking, interaction dynamics, and feedback collection. The engine manages how personas receive prompts, how they respond, and how they engage with one another — simulating the dynamics of a live qualitative session. For this piece, we convened separate focus groups for each audience segment (institutional investors, corporate treasurers, wirehouse advisors, and independent RIAs) and queried them about how the current supercycle is impacting their day-to-day decision-making.

### Validation and human judgment

A synthetic persona's output, like any research instrument, requires human judgment to interpret. We approach synthetic persona feedback as an alpha — a strong directional signal, not a finished answer. Every finding from the synthetic focus groups was reviewed against our own frontline knowledge from 12 years working with financial services clients. We apply discretion to distinguish and identify the most meaningful insight from personas, and weight findings that surfaced independently across multiple audience segments (such as the pattern of cycle-based skepticism).

### What this approach makes possible

The traditional challenge with senior financial services audiences is recruitment. Institutional investors, corporate treasurers, and experienced advisors are notoriously difficult to access for qualitative research — they're busy, they're protective of their time, and they often can't participate in vendor-sponsored research for compliance reasons. Our synthetic research platform is designed to close that gap: producing a perspective that is, directionally, within range of what these audiences would actually say, at a speed and scale that traditional methods can't match.

This is not a replacement for real-world research. It is a complement to it — a way to get directionally useful signal between traditional research cycles, and a particularly powerful supplement when real recruitment isn't feasible. As we continue to optimize the persona generation and focus group layers of the platform, we expect the fidelity of these outputs to continue improving.

### Want to Learn More?

Get in touch and we'll show you how we can design custom research to surface insight from your most difficult to recruit audiences.

[Let's find your intersection](https://www.thericciardigroup.com/request-strategy)

![The Ricciardi Group](data:image/png;base64,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