The Ben & Marc Show<\/em><\/a>, that when AI is doing everything else, venture capital may be \u201cone of the last remaining fields that people are still doing.\u201d The job is more than just writing checks, he argued; it\u2019s also choosing the right ideas, at the right time, with the right people, and then guiding them to success.<\/p>\n\u201cThat\u2019s not science, that\u2019s art,\u201d Andreessen continued. \u201cIf it was a science, you could eventually have somebody who just dials it in and gets 8 out of 10. But in the real world, it\u2019s not like that. You\u2019re in the fluke business. There\u2019s an intangibility to it. There\u2019s a taste aspect.\u201d<\/p>\n
Many of the VCs I spoke with for this story took Andreessen\u2019s line. Keval Desai, managing director at the venture capital firm Shakti, likened early-stage investing to \u201cpicking Michael Jordan in kindergarten.\u201d When a startup is young, there\u2019s no product or revenue\u2014just potential. \u201cYou can have all kinds of compute, all kinds of algorithms, but without data, there is nothing to analyze,\u201d Desai says. (Still, he copped to occasionally prompting Gemini to \u201cact as a VC analyst\u201d when considering unfamiliar markets.)<\/p>\n
Brian Nichols, the cofounder of Angel Squad, an angel investing network associated with the early-stage VC firm Hustle Fund, told me he wouldn\u2019t trust AI to do the \u201ccuration\u201d work of investing. At the end of the day, VC is a business of networks: It\u2019s about who you know, and who you can personally vouch for. At the same time, he thought AI could probably replace other parts of the job. When we spoke, he had just returned from a Hustle Fund off-site where a partner had used Claude Code to build a tool to triage founder emails. \u201cWe all spend hours every day responding to founder pitches,\u201d he says. \u201cThose are hours that could probably be spent otherwise.\u201d Aydin Senkut, founder and managing partner of the VC firm Felices, told me he thinks most VCs are experimenting with AI in some capacity to try to remain competitive. His firm is currently experimenting with chatbots to write investment memos, improve deal sourcing, and help partners to \u201cscore\u201d startup founders.<\/p>\n
Projects like ADIN seek to automate even more of this lower-level work. The diligence process\u2014where investors investigate a startup\u2019s viability, risks, and growth potential\u2014is one of the most time-consuming parts of venture capital, especially when investors are considering companies in nascent markets. ADIN collapses this step into a few minutes, and can quickly surface regulatory or compliance issues that could torpedo a deal. When assessing a mining technology company, ADIN flagged a series of export control laws and cross-border data transfer issues. \u201cThese aren't the kinds of questions most investors think to ask,\u201d says Priyanka Desai, one of ADIN\u2019s partners. She added that the AI \u201cdoesn't get tired, doesn't have blind spots from habit, and surfaces the long tail risks that are easy to overlook.\u201d<\/p>\n
For now, humans are still required for a few things. ADIN\u2019s dealflow, for one, comes from a network of venture scouts. While ADIN is funded like a traditional VC fund, with limited partners, it offers an unusual financial compensation to its scouts, who can receive 50 percent of the carried interest, or profits, that are usually reserved for general partners. \u201cIt's basically like giving away general partner level economics to someone just to submit a deal and leverage their network,\u201d says Desai.<\/p>\n
Humans are also required for the \u201clast mile,\u201d including meeting founders and ultimately deciding whether or not to cut them checks. \u201cWe know these systems are not perfect, so you want to have double checking,\u201d says Wright. The AI agents can sometimes be overzealous in their recommendations: He showed me a startup that the agentic VCs had all loved, but where ADIN decided not to invest after meeting with the founders and running into concerns with existing competitors.<\/p>\n
On the other hand, Wright says, he\u2019s also used ADIN to evaluate startups that already have $20 million or more in funding, some of which ADIN\u2019s agents uniformly dislike. \u201cOur challenge is to understand, is that accurate or is that an error?\u201d he says. In some cases, it\u2019s possible investors have fallen into a common human trap: hyping up a startup or a founder on vibes alone.<\/p>\n
Whether or not AI systems outpace investors is one thing. But another existential threat remains: The same AI technology that could make venture work faster and more efficient is also making it easier and cheaper to start software companies. The VC industry has made the majority of its money in the last decade from software as a service. But a startup that once needed a $2 million seed round to hire a specialized engineering team might now achieve the same product velocity for less than six figures with a handful of vibe coders. The math no longer favors the big checks.<\/p>\n
Until recently, only a tiny fraction of unicorns were bootstrapped. The average software unicorn raised $370 million, according to SaaStr, which monitors SaaS companies. Now, there are startups like the AI image generator Midjourney, which reached unicorn status with a core group of employees. (According to the latest data from Pitchbook, Midjourney has around 100 employees. Court documents related to a copyright lawsuit peg the company\u2019s annual revenues at more than $300 million. Midjourney did not respond to WIRED\u2019s request for comment on figures obtained from Pitchbook.)<\/p>\n
This particular scenario\u2014where some founders no longer need venture money at all\u2014is the one likeliest to scare venture capitalists. \u201cThat\u2019s the existential threat,\u201d Nichols, the Angel Squad founder, says. \u201cThe money\u2019s there, but the need from the founder isn't.\u201d Perhaps AI won\u2019t outright replace investors. But it could make those investments unnecessary.<\/p>\n
Aside from companies in robotics, biotech, or other hardware-focused industries, fewer startups may soon need the kind of mega funding that the venture capital industry has been built on. That could return the industry to its origins: a small, specialized field that bridges the gap between scientific breakthroughs and their commercial applications. (The giant companies building foundational models would fit in here, and would likely continue to take VC money to pay for the eye-watering amounts of money they spend on compute, data centers, and employee compensation.)<\/p>\n
If it\u2019s possible to build a startup for cheap, we could see the industry become leaner\u2014fast. That could put investors out of a job in a different way: not by replacing them, but by replacing their business model. \u201cIf you have these funds sitting on their hands, competing over the very few deals that actually need funding, that creates a different type of problem,\u201d Nichols says. \u201cThis is actually what investors are losing sleep about.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"
Save StorySave this storySave StorySave this story Last fall, as venture capitalists were sinking record sums into artificial intelligence, a group of investors gathered to appraise a new startup. The company, Infinity Artificial Intelligence Institute, made software to automatically tune AI models, making them faster and cheaper. The founding team seemed strong, and the market […]<\/p>\n","protected":false},"author":1,"featured_media":47189,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[36],"tags":[],"class_list":{"0":"post-47188","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-business"},"_links":{"self":[{"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/posts\/47188","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/comments?post=47188"}],"version-history":[{"count":0,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/posts\/47188\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/media\/47189"}],"wp:attachment":[{"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/media?parent=47188"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/categories?post=47188"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/tags?post=47188"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}