Before markets decide what a company is worth, they decide what kind of company it is.
Private companies used to explain themselves most fully when they went public.
The IPO forced a kind of market discipline. A company had to describe its business, disclose its financials, name its risks, identify its competitors, and persuade a broader set of investors that its future deserved a price.
The process was imperfect, often theatrical, and sometimes wildly optimistic. But it created a public moment of interpretation. The market had to decide not only what the company was worth, but what kind of company it was.
In recent years that question has become harder to answer.
More of the modern innovation economy now develops before a company reaches the public markets. Private companies raise larger amounts of capital, stay private through more stages of growth, build larger operating businesses, and often shape entire categories before most investors can see their financials in a standardized way.
A strong frame helps the market recognize value that the business has already begun to create.
The claim that companies are “staying private longer” is sometimes debated, depending on how the data is measured. Jay Ritter's long-running IPO data show a rise in the median age of companies going public over time.
Vanguard, looking at average IPO age from 2003 to 2024, has argued that the trend is much less clear. But the broader shift is hard to miss: more value is being created, priced, and traded in environments where information is thinner, disclosure is less uniform, and valuation depends more heavily on negotiated judgment.
That makes valuation harder.
And when valuation gets harder, framing matters more.
Category first
Valuation is not only a spreadsheet exercise. It is an act of classification. Before a market can decide what a company is worth, it has to decide what kind of company it is.
Is this a software company, a services company, a marketplace, an infrastructure company, a data company, a workflow platform, an AI company, a media company, a logistics network, a regulated financial intermediary, or a real estate business with a better interface?
The answer matters because categories carry assumptions. They shape the comparison set. They influence the metrics investors care about, the risks they discount, the future scenarios they take seriously, and the multiples they consider reasonable.
A dollar of revenue is not valued the same way in every frame. Recurring software revenue is not interpreted the same way as consulting revenue. A platform business is not judged like a point solution. Infrastructure is not priced like an application. A capital-light network is not understood like a capital-intensive operator.
The financials matter. But the frame tells the market how to read them.
That is why positioning is not decoration.
At its best, strategic narrative makes the economic logic of a company visible. It helps customers, investors, analysts, employees, journalists, and partners understand why the business exists, what problem it solves, what category it belongs to or creates, and why its future should be larger than its present.
At its worst, framing becomes camouflage. It asks the market to reward a company for a story the business cannot support.
Frame failure
WeWork remains the obvious cautionary tale.
For years, the company invited investors to understand it as a technology platform, a community company, even a reimagination of work itself. But when its 2019 S-1 forced a deeper examination, the public market saw something else: a capital-intensive real estate business with large lease obligations, heavy losses, governance concerns, and a story that had outrun its proof.
The frame collapsed because the evidence couldn't support it.
The lesson is not that markets punish ambition. They often reward it. Rather, it is that ambition must be anchored in a business model the market can understand and believe.
A weak frame asks the market to believe something the business cannot prove.
A strong frame helps the market recognize value that the business has already begun to create.
Frame expansion
I saw this dynamic from the inside at ServiceNow.
When I joined the company in 2017, many people still understood it primarily as an automated ticketing system for IT help desks. That description wasn't wrong, exactly, but it sold ServiceNow short. The company’s roots were in IT service management, and that business remained important. But the deeper story was bigger: ServiceNow was becoming a platform for managing automated workflows across the enterprise.
Over the next several years, the company’s market frame expanded. First, ServiceNow became understood less as an IT tool and more as a cross-enterprise workflow platform. Eventually, that frame evolved again. Today, the company describes itself as the AI control tower for business reinvention: a platform for orchestrating work across systems, departments, data sources, and AI agents.
The frame defines the comparison set. The comparison set shapes the multiple.
My team helped lead that reframing via Workflow by ServiceNow, an editorial platform built around the idea that work itself was being redesigned across the enterprise. Workflow became one of the most awarded publications in enterprise technology. Our research and reporting helped give customers, executives, analysts, and the broader market a more expansive way to understand the company.
During that period, ServiceNow’s annual revenue grew from under $2 billion in 2017 to more than $13 billion in 2025. Its market capitalization rose from the tens of billions to a peak of roughly $200 billion before falling sharply amid investor fears that frontier AI models would erode the value of enterprise software platforms.
That volatility is part of the point. A broader frame can help the market understand a company’s expanding role. A competing frame can narrow that understanding just as quickly.
Obviously, ServiceNow's growth wasn't solely caused by narrative reframing. It was the result of product execution, sales discipline, customer expansion, leadership, and durable demand.
But the new frame mattered because it helped the market understand what kind of company ServiceNow was becoming.
The shift was simple to describe, but powerful in its implications: ticketing system to workflow platform to AI platform. Each new frame expanded the market’s understanding of ServiceNow: from fixing IT problems, to managing work across the enterprise, to orchestrating AI-enabled business transformation.
That is the work strategic narrative does when it is honest. It does not invent value. Rather, it clarifies value by giving the market a better way to interpret the evidence.
AI premium
This is especially important in the AI era because frames are evolving faster than the proof needed to support them.
Every company has an AI story. Every services firm is talking about automation. Every data company is positioning itself as infrastructure. Every platform claims to orchestrate intelligence. Every workflow company is promising agentic execution.
Some of these claims are real. Many are premature. Some are merely cosmetic.
The market has to sort them out.
That sorting process won't happen just through product demos and slogans. It will depend on whether companies can explain the relationship between their capabilities and their economics.
Where does AI improve margins? Where does it increase customer value? Where does it deepen the moat? Where does it change the operating model? Where does it create a new category, and where does it merely make an old category more efficient?
These framing questions determine how performance is interpreted.
A company that says “we use AI” has made a claim. A company that shows how AI changes the structure of work, the economics of service delivery, the speed of decision-making, or the coordination of complex systems has begun to build a frame the market can use.
Signal loss
That difference will become more important as private markets continue to absorb more of the innovation economy.
Public markets, for all their flaws, give investors shared signals: audited filings, earnings calls, analyst models, trading history, public comparables, regulatory disclosure, and continuous price discovery.
Private markets have fewer of those signals.
Valuations depend more heavily on episodic events and negotiated judgments: funding rounds, secondary transactions, investor demand, fund marks, and selective disclosure. That doesn't make private valuations fake. It makes them more dependent on trust, context, and interpretation.
That dependency is becoming more visible as private markets grow. In June 2026, Reuters reported that the SEC had begun probing continuation vehicles, a fast-growing corner of private equity, with questions focused in part on valuation methods, disclosure, and conflicts of interest.
In a thinner information environment, the story around the numbers carries more weight.
That can be dangerous. Hype can inflate prices. Scarcity can distort judgment. A charismatic founder can make a business sound more inevitable than it is. A fashionable category can pull valuations forward before the operating model has caught up.
The answer is not to pretend that framing doesn't matter.
It's that markets need better frames.
Better frames
The right frame connects the company’s narrative to evidence. It explains the market shift, defines the category, identifies the customer problem, clarifies the business model, names the proof points, and shows why the company is positioned to capture value as the market changes.
It also creates discipline.
If a company claims to be a platform, the frame should show why it is more than a product. The proof lies in ecosystem growth, customer expansion, and the degree to which the platform becomes harder to replace as it becomes more useful.
If a company claims to be infrastructure, the frame should show why customers depend on it. The proof lies in scale, reliability, utilization, and the degree to which the business becomes difficult to operate without it.
If a company claims to be an AI organization, the frame should show where intelligence changes the economics. The proof lies in proprietary data, workflow integration, measurable outcomes, and the ability to defend those advantages over time.
Good framing doesn't make those questions easier. It makes them sharper.
And that's why valuation follows the frame.
Not because markets are gullible. Not because investors mistake language for evidence. And certainly not because a slick narrative can rescue weak economics.
Valuation follows the frame because markets need a way to understand what they are pricing. The frame defines the comparison set. It determines which evidence matters. It shapes expectations about growth, risk, durability, and future relevance. It tells the market whether the company should be seen as an improved version of something familiar or as the early expression of something new.
In an age of abundant claims, winning companies won't be the ones with the loudest story. They will be the ones with the clearest relationship between story and proof.
The frame comes first.
The multiple follows.