AI is a foundational layer, not a niche. Asking if a company is an 'AI startup' will soon be as meaningless as asking if it has a website. The adoption timeline is radically compressed: what took the internet 15 years for ubiquity will take AI only four, with non-adopters facing extinction.
In a market obsessed with fundraising as validation, the best performers can be companies that fly under the radar. A non-AI portfolio company is profitable at $15M ARR and growing 40% monthly without further funding, optimizing for low dilution and potentially becoming a top-quartile outcome.
As consumers become inundated with AI and digital experiences, a strong counter-trend is emerging. This creates venture-scale opportunities for companies focused on tangible hardware, 'dumb' phones, and real-world services that facilitate human connection offline, as demonstrated by Greylock's investment in a kids' landline.
The most powerful consumer AI applications solve tangible human problems. Startups like Real Roots (building friendships) and Sunflower (addiction recovery) use AI not as the end product, but as a powerful matching and support engine to drive meaningful, real-world outcomes and connections offline.
Despite the focus on markups and paper gains, top VCs believe the ultimate measure of a fund's success is returning cash to investors (DPI). This focus on liquidity is so critical that even a young fund should signal its commitment by distributing cash from early, minor exits.
The traditional PE strategy involves buying legacy companies and cutting costs by ~10%. AI enables startups to rebuild entire industries from scratch, slashing costs by 90-99%. This allows VCs to fund disruptors that can out-compete and dismantle sectors previously dominated by PE roll-ups.
AI isn't just an efficiency tool; it fundamentally accelerates core business growth. A portfolio company achieved a 4.5x markup in 9 months by reaching $10M ARR in 14 months. This speed, which cuts the traditional 18-24 month timeline in half, is redefining early-stage venture capital benchmarks.
The long-standing 8-12 year path to IPO is being drastically shortened by AI. Companies can now reach IPO-ready milestones like $100M ARR in just 4-5 years. This compression, combined with a backlog of large private companies, suggests a massive liquidity event is imminent for venture capital, ending the recent drought.