Talent Density by Industry: Why FinTech Leads on Volume and AI Leads on Score

Pool Nova’s Talent Density Top 50 lists from all eight of its launch markets, and the biggest category by volume turns out not to be the one with the best score. FinTech shows up in more Top 50 spots than any other tech category, 62 out of 400 companies, yet its average score sits closer to the bottom of the pack. AI, the second-largest category, tops the list instead.

This is the industry breakdown promised in our full definition of Talent Density: the same scoring behind every company’s number, now broken down by the 79 tech categories Nova tracks. It shows where senior, in-demand talent actually concentrates, and where a much smaller category can still out-score a far bigger one.

One thing worth saying upfront: every number here is pooled across markets, never compared country by country. This is a look at which tech categories concentrate Talent Density everywhere Nova runs a Top 50 list, not a scoreboard between Spain, Germany or anywhere else.

How this Talent Density by industry data set was built

This analysis pools the Top 50 Talent Density rankings from all eight of Nova’s launch markets, Spain, Italy, the UK, Sweden, Switzerland, Germany, France and pilot market Mexico, into one data set of 400 tech scale-ups. Every company is classified into one of 79 distinct categories in Nova’s own taxonomy, from AI and FinTech to Quantum and BioTech.

400 | tech scale-ups across all 8 Top 50 lists | Nova, 2026

79 | distinct categories in Nova's taxonomy | Nova, 2026

Each company’s Talent Density Index, or TDI, is the average score of its currently indexed employees, rescaled so the strongest company in its own market sits at 100. Every average in this post is a TDI, not a raw, unscaled score.

Which tech categories show up most often in the Talent Density rankings?

FinTech is the single largest category in Nova’s Talent Density data: 62 of 400 companies, 15.5% of the total, more than any other of the 79 categories Nova tracks. AI follows at 56 companies, 14.0%, then Software at 35, BioTech at 21, and HR Tech at 12.

Counts and averages are computed directly from Nova’s Talent Density Top 50 rankings, pooled across all eight launch markets (Nova, 2026).

The remaining 69 categories share the other 167 companies, 41.8% of the total, mostly in small numbers: CleanTech and Semiconductors each have 7, Blockchain and SpaceTech have 6 apiece, and a long list of frontier categories carry just a handful of companies each. We break that long tail down in full further on.

58.2% | of all Top 50 companies sit in just 10 of 79 categories | Nova, 2026

That concentration raises an obvious question. Does FinTech’s size mean it also produces the highest-scoring companies? The data says the opposite, and it’s worth spelling out why.

Why doesn’t FinTech’s volume translate into the highest score?

No. FinTech’s average Talent Density Index is 58.96, one of the lowest of any category with a meaningful sample, despite being the largest by count. AI, the second-largest category by volume, posts the highest average score of any category with five or more companies: 67.18, a gap of more than 8 points.

Figures are computed from Nova’s Talent Density Top 50 rankings, pooled across all eight launch markets (Nova, 2026).

8.22 | point gap between AI's average score and FinTech's | Nova, 2026

The likeliest explanation isn’t that FinTech hires worse. It’s that FinTech’s size reflects how many FinTech scale-ups exist and get funded across these eight markets in the first place, not the quality of who they hire once they exist. AI’s higher average instead points to the profile of people AI companies tend to hire: research backgrounds, technical depth and often international teams, a career shape that scores consistently well across Experience, Education, Internationality and Languages, regardless of how big the category is.

That profile shows up elsewhere too. AI-native companies also rank as the single top company in most of Nova’s individual market lists, a pattern we cover in our analysis of the 2026 war for talent among scale-ups. Being the biggest category and being the best-scoring one, in other words, turn out to be two different competitions.

Which categories score highest on average?

AI posts the highest average Talent Density Index of any category with five or more companies, 67.18, just ahead of Data at 67.00 and Hardware at 66.86. Logistics posts the lowest average among categories of this size, 53.10, with Mobility, PropTech and HealthTech close above it.

Ranking includes only categories with 5 or more companies in the pooled data set. All figures are computed from Nova’s Talent Density Top 50 rankings (Nova, 2026).

FinTech, despite its size, ranks 19th of these 23 categories, ahead of only HealthTech, PropTech, Mobility and Logistics. Deep-tech categories with far smaller samples, Hardware, Blockchain, Semiconductors and Quantum among them, all outscore it, a pattern worth digging into on its own.

What does the long tail of 79 categories tell us?

79 distinct categories across 400 companies means most categories are small. The 10 largest cover 58.2% of every Top 50 company, and the other 69 share the remaining 41.8%, most with one to seven companies each, from CleanTech and Semiconductors down to categories that appear only once.

Outside the top 10, categories like CleanTech and Semiconductors have 7 companies each, TravelTech has 7, Blockchain and SpaceTech have 6 apiece, and LegalTech, EnergyTech, PropTech, Logistics, Mobility, RetailTech, ClimateTech and Hardware all sit at 5 or 6. Below that, dozens of genuinely frontier categories, Fusion, Cryptography, Nuclear DeepTech, Surgical Robotics and DefenceTech among them, appear just once or a handful of times each.

That long tail isn’t noise. Several small categories score well above much bigger ones: Hardware (5 companies) averages 66.86, Semiconductors (7) averages 64.77, and Quantum (10) averages 64.32, all ahead of FinTech’s 58.96 despite a fraction of the sample size. Frontier tech, in this data set, tends to score well even with few companies representing it.

What does this mean if you hire in a smaller category?

A strong score in a smaller category may be a stronger signal, not a weaker one. Ten categories, FinTech and AI included, cover 58.2% of Top 50 companies, so reaching a high average from one of the other 69, many of them genuinely novel tech, is a harder result to produce.

That’s worth remembering the next time you compare your own number against a competitor. FinTech’s size means more FinTech companies get a shot at a Top 50 list in the first place, not that FinTech sets the bar to beat. The honest comparison is almost always against named peers in your own category, not against the pooled average across all 79.

You can check exactly where your own company lands, and which of the four pillars is driving the number, with Nova’s Talent Density lookup tool. Looking yourself up against named competitors in your own category tells you more than any category-wide average ever will.

What are the limits of this analysis?

This is a snapshot of the 400 companies that made a Top 50 Talent Density list, not a study of Nova’s full database. Category labels come from Nova’s own taxonomy, and averages, especially in categories with only 5 or 6 companies, hide real variation between individual companies inside them.

• Scope. Only companies that reached a Top 50 list are counted here. The pattern above describes those 400 companies, not the category mix of the broader professional population Nova indexes.
• Classification. Category labels reflect Nova’s own taxonomy. A company that genuinely straddles two categories is still placed in one.
• Small samples. 13 of the 23 ranked categories have between 5 and 10 companies. A single company moving can shift a small category’s average more than it would for FinTech or AI.
• A snapshot in time. These figures reflect the Top 50 lists as published in September 2026. The mix will shift as individual company scores and rankings move.

For a sense of what one market’s list actually looks like, company by company, before you look at the pooled, cross-market view here, Spain’s Talent Density Top 50 is a concrete example of a single ranking behind these aggregate numbers.

The bottom line

FinTech and AI together make up roughly 30% of every company on Nova’s pooled Talent Density Top 50 lists, 118 of 400 across eight markets. But they get there differently. FinTech’s size, 62 companies, is the largest of any category. AI’s average score, 67.18, is the highest of any category with a meaningful sample. Being the biggest category and being the best-scoring one turned out to be two separate stories.

The categories worth watching aren’t always the biggest ones. Hardware, Blockchain, Semiconductors and Quantum all outscore FinTech despite far smaller samples, and that pattern held up across the pooled data set, not just one market. If your company sits in one of the smaller 69 categories, a strong score there is arguably harder to produce, not easier to dismiss.