VC market bifurcates into extremes

The venture capital landscape hollows out in the middle, splitting between small-check investors and massive funds.

Angel and solo-GP firms proliferate

More angel investors and 1-2 person VC firms emerge to fund capital-efficient startups that don't need large rounds.

Mega-funds dominate AI infrastructure

Massive funds concentrate on huge investments in AI companies and AI infrastructure, which still require enormous capital.

Market shifts to harder industries

After the easy software opportunities are captured, the market pivots toward applying software to more difficult, slower, lower-margin industries.

Mid-tier VC makes a comeback

Traditional mid-sized venture firms regain relevance as harder industries require more capital, longer timelines, and domain expertise that small checks and mega-funds don't serve well.

AI investment bubble bursts

The massive capital expenditure pouring into AI proves unsustainable, disrupting the expected market evolution and potentially preventing the mid-tier VC recovery.

Small/seed VC thrives as cheap AI wreckage fuels lean startups

The burst floods the market with discounted compute, open-weight models, and desperate-to-monetize AI infrastructure — dramatically lowering costs for application-layer startups. Seed-stage funds backing capital-efficient founders with $1-3M raises see a golden vintage, as the best talent leaves failed labs and builds practical software on commoditized infrastructure. Small VC emerges as the clear winner of the cycle.

Mid-tier VC gets squeezed from both sides, consolidates

Series A/B funds ($200M-$800M) face the worst positioning: too small to absorb losses like the mega-funds, but too large to pivot to the tiny round sizes that the new capital-efficient landscape demands. Many mid-tier firms fail to raise successor funds, and the segment consolidates significantly — the anticipated mid-tier recovery is delayed by another 5+ years as LPs either go small (seed) or retreat entirely.

Large VC firms suffer massive markdowns, trigger LP crisis

Flagship funds at a16z, Tiger Global-style crossover firms, and growth-stage mega-funds take 40-60% write-downs on AI infrastructure bets, causing LP pullbacks and dramatically shrinking fund sizes for their next vintages. Some large firms quietly wind down or merge, and the 'tourist' capital from sovereign wealth and pension funds retreats from venture entirely for 3-5 years.

Golden age of profitable solo businesses

Indie hackers leverage near-zero development costs to build and ship niche SaaS products in days rather than months, leading to an explosion of profitable one-person businesses earning $10K-$100K/month without ever needing outside capital.

Brutal commodification crushes margins

Because everyone can build software cheaply, indie hackers face thousands of near-identical competitors for every niche. Most products become commoditized within weeks of launch, driving prices toward zero and making it nearly impossible to sustain meaningful revenue without a strong distribution moat.