artificial intelligencestartupshiringventure capitaltech layoffs

Do AI-enabled companies need fewer people?

March 8, 2026·3 min read

About a year ago I made some predictions about the effect of AI on programming jobs. Block laid off 40% of its staff claiming AI made them more efficient. Is that really true or did they just over-hire? Let's look at some data and see what's really happening.

In February 2026, global venture capital hit a single-month record: $189 billion flowed into startups in 28 days. Three companies got 83% of that funding: OpenAI, Anthropic, and Waymo. Two months into 2026, startups have already raised more than half of what they raised in all of 2025. There is an unprecedented amount of money going into startups, partly because AI is capital-intensive in a way other technology boom cycles have not been. So if you looked at just "headcount per dollar raised" it would definitely look like AI startups are more headcount-efficient. But is that really what's going on?

The average consumer startup raising a seed round in 2024 had somewhere under 3.5 employees, down from 6.4 in 2022. Series A startups that had a median headcount of 57 in 2020 are now at 47. New monthly hires across the startup ecosystem fell by more than 50% between January 2022 and January 2024 according to Carta and its tech-heavy customer base. And tech layoffs, while declining in absolute numbers, continue at a steady clip — over 126,000 workers cut at US tech companies in 2025, with the pace carrying into 2026.

So something real is happening: startups are genuinely smaller than they used to be, even as they're raising bigger seed and series A rounds. They're also hiring more slowly as they grow, and in some cases they're shrinking. It leads to this startling chart:

VC funding is going up whole startup headcount is going down

Is the effect due to AI though, or are we just generally getting more efficient? One way to check would be to see if the effect is more extreme in AI startups. Do we have that data?

There are certainly a lot of AI-powered startups to look at. According to Crunchbase, venture investors poured $425 billion into startups globally in 2025 — a 30% increase over 2024's $328 billion, and the third-highest year on record. AI-related companies captured roughly half of all venture funding, at $211 billion: an 85% jump year-over-year.

AI is capturing a huge chunk of all global venture funding

And yes, AI-native startups operate with 40% smaller teams than non-AI SaaS companies. AI startups beat regular startups on size of round, revenue per employee, and keeping teams small:

Metric AI-Native Traditional Difference
Avg Series A Round $51.9M $39.9M +30%
Revenue per Employee $3.48M $580K 6× higher
Team Size at $10M ARR 15–20 (est) 50–70 ~60% fewer

So what does this all mean?

If my prediction last year was true, we would expect there to be a lot of automation going on but also a lot of new tech jobs as demand is unlocked. So far that's not happening; in fact growth has flatlined since 2023, another K-shaped graph:

My read on this is: the startup economy is undergoing a structural transformation here. Startups are substituting compute for labor at an increasing rate. I still remain optimistic that this is going to result in a lot more companies doing a lot more things, but so far it hasn't happened. But companies' claims that they can get by with way fewer people in the age of AI does seem to be true.

Sources:

* 2026 funding figures annualized from Jan-Feb Crunchbase data. All dollar figures in USD unless noted.

artificial intelligencestartupshiringventure capitaltech layoffs

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Laurie Voss is a developer, writer, and recovering npm co-founder. Writing about technology and what it means for humans since 2001.

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