Measuring Human Capital in the AI Age: Your Most Valuable Asset Still Walks Out the Door
A practical framework for measuring human capital when AI is rewriting the value of skills, using OECD methodology and AI literacy metrics.
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I have spent most of my career building companies where the most valuable assets never appeared on a balance sheet. At Capital.com, the real value was not in the servers or the office lease — it was in the proprietary AI-driven trading technology, the regulatory licences, the customer behaviour data, and the team's accumulated expertise in financial markets. At Currency.com, it was the blockchain infrastructure, the compliance framework for tokenised securities, and the relationships with institutional partners.
None of this showed up in the accounts. And yet these were the assets that justified the company's valuation, attracted investors, and ultimately determined its competitive position.
This is not unique to fintech. It is the reality for virtually every knowledge-intensive business operating today.
Ocean Tomo's Intangible Asset Market Value Study estimates that intangible assets now account for over 90% of S&P 500 market value. For venture-backed companies — where physical assets are minimal and human capital, IP, and data are everything — the ratio is even more pronounced.
The UK's Office for National Statistics confirms this at the national level. British businesses invested an estimated 185.5 billion pounds in intangible assets in 2021, exceeding tangible investment by 28.5 billion pounds. The Productivity Institute's research further shows that the slowdown in UK labour productivity growth is largely attributable to underinvestment in intangible capital.
The financial reporting system was not designed for intangible-intensive businesses. Most founders and CFOs cannot quantify their intangible assets — and that gap directly costs them at the fundraising table.
When a growth-stage company sits down with a VC firm to negotiate a Series A or B round, the conversation typically centres on a handful of metrics: revenue, growth rate, burn rate, customer acquisition cost, and maybe net revenue retention.
These are important numbers. But they describe outputs, not assets. They tell an investor what the company has done, not what it has built.
By the standard metrics, these two companies look identical. But Company B has built durable intangible assets that will compound. Company A has not.
Without a structured way to identify and value these underlying assets, investors are making allocation decisions with incomplete information, and founders are leaving valuation on the table.
In my experience — both as a company builder and an angel investor — three categories of intangible assets are consistently undervalued.
The accumulated skills, judgment, and institutional memory of a company's team. This is not just about individual talent — it is about the collective capability that emerges when people work together effectively over time. A team that has shipped three products together will ship the fourth faster, cheaper, and better. That compounding capability is worth something, but it is never quantified.
The datasets a company generates through its operations — customer behaviour patterns, market intelligence, operational performance data — often have value far beyond their original purpose. A fintech company's transaction data, for example, may be worth more as training data for AI-driven risk models than it is as a record of past transactions.
The documented and undocumented ways a company does things — its playbooks, quality systems, decision-making frameworks, and operational routines. Companies with strong process knowledge can onboard employees faster, maintain quality at scale, and replicate success across new markets. This is the difference between a company that scales smoothly and one that breaks at every growth inflection point.
The good news is that the intangible asset gap is closable. It requires three things.
You cannot value what you cannot see. Companies need a systematic process for cataloguing all of their intangible assets — not just the obvious IP, but the human capital, data, processes, and relationships that drive competitive advantage.
Each identified intangible asset needs a defensible valuation methodology. The academic and professional frameworks exist — the income approach, cost approach, and market approach are well-established. What has been missing is the technology to apply these frameworks continuously rather than as a one-off consulting exercise.
Once intangible assets are identified and valued, companies need to integrate this information into their investor communications, board reporting, and fundraising narratives. This does not mean replacing standard financial metrics — it means supplementing them with a richer picture of where value is being created.
This is exactly the problem that motivated us to build the Opagio Growth Platform — a system that combines growth accounting with intangible asset valuation to give companies and their investors a continuous, data-driven view of the assets that actually drive growth.
If you are preparing for a fundraise, ask yourself: can you articulate and quantify the intangible assets that justify your target valuation? Not in vague terms — in structured, data-backed terms that an institutional investor would find credible?
If the answer is no, you are almost certainly leaving value on the table. And you are making it harder for your investors to justify the markup to their LPs.
A fintech company's transaction data may be worth more as training data for AI-driven risk models than as a record of past transactions. A compliance team's accumulated regulatory expertise may be the single most defensible asset in the business. These are the intangible assets that justify premium valuations — but only if you can quantify them.
The companies that will command the strongest valuations in the coming years will not be those with the best revenue metrics alone. They will be the ones that can demonstrate, with rigour and evidence, that they have built the underlying intangible assets needed to sustain and accelerate that growth.
Try the Intangible Asset Valuator to see which of your company's intangible assets are being undervalued.
This is the second in a series of articles on intangible asset valuation and growth accounting. Read the complete guide: The Complete Guide to Intangible Asset Valuation
A practical framework for measuring human capital when AI is rewriting the value of skills, using OECD methodology and AI literacy metrics.
Read more →
The 12–18 months before exit define how much value you capture — data room preparation, normalised EBITDA, quality of earnings reports, earn-outs, and intangible asset documentation.
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A step-by-step guide to the Opagio Intangible Asset Valuator — covering 7 asset categories, 35 asset types, and 6 valuation methods. Learn how to identify, assess, and value the intangible assets that drive your company's worth.
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