Tech Stocks Take a Major Hit | StrictlyVC Summary

1. Key Themes

Theme: The AI trade is cracking as markets and financiers get skeptical of the spend

Public markets sell off on AI spending doubts

Tech stocks suffered a broad, violent drawdown tied explicitly to skepticism about AI capex, with Intel suffering its worst day since the 1970s.

"Tech stocks were hammered Friday as investors grew more skeptical about the enormous sums being spent on AI, sending the Nasdaq Composite down 2.9%. Intel plunged 29% in its worst day since the 1970s, Amazon fell 1.4% after an earnings miss, Nvidia dropped 4%, Broadcom sank more than 5%, and Qualcomm tumbled 11%, while Alphabet extended losses after plunging more than 12% Thursday."

Private-market AI financing is getting harder

Even the marquee labs are facing tougher capital markets. OpenAI is raising far less than targeted at a lower valuation, and Anthropic's expected cost of capital may be higher than assumed.

"OpenAI has secured roughly $11 billion in commitments for its latest financing – less than half of the $30 billion it initially targeted – at a $1.25 trillion valuation versus the $1.4 trillion it had hoped for. The company is now aiming to raise up to $20 billion as investor enthusiasm for the AI boom cools."

"Blackstone has told investors that Anthropic may receive a high-yield or 'junk' credit rating after its IPO rather than the investment-grade rating previously expected, potentially raising the AI company's borrowing costs and narrowing the pool of investors able to finance its planned infrastructure spending."

Debt-funded AI infrastructure is the pressure point

The Anthropic rating issue highlights that AI buildouts increasingly depend on borrowing, so credit quality directly constrains infrastructure expansion.

"...potentially raising the AI company's borrowing costs and narrowing the pool of investors able to finance its planned infrastructure spending."

Theme: Venture is dangerously concentrated in two companies

LPs and VCs piled into the same two names

LPs describe unprecedented overlap, with funds holding both OpenAI and Anthropic, breaking a norm against conflicting investments.

"OpenAI and Anthropic's valuations have shot up so quickly that nearly everyone has piled into the same two companies on the way up, often inside the same venture firm, despite the longstanding venture convention of avoiding investments that conflict with one another."

LPs are sanguine but flag a "yellow light"

LPs expect big returns but are uneasy about fundraising pace, which matters if the AI repricing continues.

"The LPs I speak with seem unbothered by this big gamble, given the potential returns; they're expecting a bonanza. But they do see danger ahead, even if they describe this as a 'yellow light' situation, and they're uneasy about how quickly VCs are coming back to raise new funds."

Theme: AI picks-and-shovels and verification are still attracting large rounds

Inference infrastructure and power are hot

Capital is flowing into the layers beneath AI models even as the public market wobbles.

"Baseten, a seven-year-old San Francisco startup that provides infrastructure for businesses to run AI models, is reportedly set to raise about $2 billion in a round led by previous investor Sands Capital, with separate tranches valuing the company at $26 billion and $30 billion."

"Powerlattice, a three-year-old startup based in Vancouver, WA, that makes chiplets that deliver power inside AI processor packages to reduce energy loss, has sold $86 million of a planned $111 million private financing."

Trust, verification, and agent testing are emerging categories

Startups are building tools to verify and evaluate AI-generated work.

"& Truth, a Palo Alto startup founded this year that develops tools that mathematically verify whether legacy and AI-generated code meets specified safety, security, and correctness requirements, raised a $70 million seed round."

"Crux Labs, a New York startup founded this year that develops software that tests and improves AI agents using standards learned from companies' subject-matter experts, raised a $6+ million round."

Theme: AI hype vs. real-world adoption and diligence risk

Agentic commerce is barely real yet

"DoorDash says third-party AI agents including Muse, Instinct, and Fo have generated only 'several hundred' orders on its platform so far, a tiny fraction of the roughly 3 million deliveries the company completes each day, suggesting agent-driven commerce remains nascent despite the hype."

Fraud risk rises when investors can't tell wrappers from real tech

"Theranos whistleblower Tyler Shultz is warning that the AI boom creates fertile ground for fraud because investors may struggle to distinguish genuinely novel technology from thin 'ChatGPT wrappers,' arguing that the industry risks forgetting the due-diligence lessons exposed by Theranos."

2. Contrarian Perspectives

LPs see concentration as an opportunity, not a risk

Conventional wisdom holds that a portfolio-wide bet on two companies is reckless diversification failure. The LPs interviewed are comfortable, describing "typical is out the window."

"That's the typical playbook. But typical is out the window... No one is complaining, either. The LPs I speak with seem unbothered by this big gamble, given the potential returns; they're expecting a bonanza."

Counterpoint from the same article: the comfort is paired with caution ("yellow light"), and the day's news (OpenAI's shortfall, Anthropic's possible junk rating) tests that confidence.

Seasoned LPs treat chaos as fun, not scary

Rather than panic, a veteran allocator frames cycles as normal and the downside as part of the deal.

"I love venture, so I find the chaos fun. I've been doing this for a couple of decades, so seeing the cycles makes it less scary. You appreciate that these things happen, and that we should enjoy the upside, because sometimes there's downside, and the up is a lot more fun than the down."

Luxury brands are marketing "non-AI" as a premium signal

Against the tide of AI adoption, scarcity of human craftsmanship is becoming a differentiator.

"As AI-generated 'slop' floods social feeds, luxury brands including Prada, Hermès, and Ralph Lauren are increasingly emphasizing handmade art, traditional craftsmanship, and explicitly non-AI production in their advertising as a way to signal taste and authenticity."

3. Companies Identified

Intel

Description: Semiconductor giant
Why mentioned: Led the tech selloff after a major earnings miss
Quote: "Intel plunged 29% in its worst day since the 1970s"

Nvidia / Broadcom / Qualcomm / Alphabet / Amazon

Description: Large-cap tech and chip companies
Why mentioned: Fell sharply amid AI-spend skepticism
Quote: "Nvidia dropped 4%, Broadcom sank more than 5%, and Qualcomm tumbled 11%, while Alphabet extended losses after plunging more than 12% Thursday."

Anthropic

Description: AI lab preparing an IPO
Why mentioned: May face a junk credit rating, raising financing costs; also a core concentration holding for VCs
Quote: "Anthropic may receive a high-yield or 'junk' credit rating after its IPO rather than the investment-grade rating previously expected"

OpenAI

Description: AI lab
Why mentioned: Financing came in well below target at a lower valuation
Quote: "less than half of the $30 billion it initially targeted – at a $1.25 trillion valuation versus the $1.4 trillion it had hoped for."

Blackstone

Description: Alternative asset manager
Why mentioned: Source of the warning on Anthropic's credit rating
Quote: "Blackstone has told investors that Anthropic may receive a high-yield or 'junk' credit rating after its IPO"

Binance

Description: Crypto exchange
Why mentioned: Victim of the largest crypto theft on record
Quote: "North Korean hackers are being blamed for stealing at least $6.3 billion in crypto from Binance after compromising an engineer's laptop, in what researchers are calling the largest crypto theft on record"

Baseten

Description: AI model inference infrastructure provider
Why mentioned: Reportedly raising ~$2B at a $26–30B valuation
Quote: "set to raise about $2 billion in a round led by previous investor Sands Capital, with separate tranches valuing the company at $26 billion and $30 billion."

& Truth

Description: Code verification startup
Why mentioned: $70M seed for mathematical verification of AI-generated code
Quote: "develops tools that mathematically verify whether legacy and AI-generated code meets specified safety, security, and correctness requirements"

Powerlattice

Description: AI chip power-delivery chiplet maker
Why mentioned: Energy efficiency in AI processors; $86M raised
Quote: "makes chiplets that deliver power inside AI processor packages to reduce energy loss"

Crux Labs

Description: AI agent testing software
Why mentioned: Evaluating agents using expert-derived standards
Quote: "develops software that tests and improves AI agents using standards learned from companies' subject-matter experts"

Neuron Industries

Description: Industrial controller startup
Why mentioned: Natural-language machine control; $10M seed backed by YC and others
Quote: "develops industrial controllers that let engineers describe machine behavior in plain English and generate readable control code"

Rune Technologies (acquired by Salesforce)

Description: Defense logistics AI software
Why mentioned: Acquisition by Salesforce; founded by ex-Anduril leaders
Quote: "Salesforce agreed to acquire Rune Technologies, a two-year-old defense software company... The company was founded by former Anduril leaders David Tuttle and Peter Goldsborough."

Braid

Description: Embedded SIM/eSIM connectivity platform
Why mentioned: $38M Series A
Quote: "lets enterprises embed branded SIM and eSIM connectivity into their products through a single connection to hundreds of carriers"

Ravical

Description: AI workflows for accounting/tax firms
Why mentioned: $17M seed
Quote: "uses AI to turn accounting and tax firms' expertise into standardized workflows across their client bases"

Setara Biosciences

Description: Rare neuro disease drug developer
Why mentioned: $90M Series A with strategic backing from Jazz Pharmaceuticals
Quote: "develops small-molecule treatments targeting the genetic causes of rare neurological and neuromuscular diseases"

Allox

Description: AI/genetics drug-target discovery
Why mentioned: $10.5M seed
Quote: "combines genetics, experimental biology, and AI to identify protein sites that can be targeted with small-molecule drugs"

CareLumi / Wrapped Health

Description: Healthcare workflow startups
Why mentioned: Early-stage rounds in health ops/commerce
Quote: "automates clinician credentialing and licensing and checks AI-driven healthcare workflows for errors and compliance violations" / "integrates with electronic health records so clinicians can send patients product recommendations and purchasing options"

FinMaq

Description: Equipment financing for underbanked SMBs in Colombia
Why mentioned: $6.5M Series A
Quote: "provides machinery and equipment financing to small businesses and independent workers with limited formal credit histories"

Aspen Neuroscience

Description: Parkinson's cell therapy biotech
Why mentioned: IPO that traded well below its offer price
Quote: "the stock opened at $14.70 and was trading at $11.93 Friday afternoon, down 20.7% from its IPO price."

DoorDash

Description: Delivery platform
Why mentioned: Data point on tiny agent-driven order volume
Quote: "'several hundred' orders on its platform so far, a tiny fraction of the roughly 3 million deliveries the company completes each day"

Cisco

Description: Networking giant
Why mentioned: Aggressive AI-driven code rewrite initiative
Quote: "prove that he can rewrite 98% of the company's legacy code within 24 months."

Flock

Description: Surveillance/law-enforcement technology company
Why mentioned: Subject of the StrictlyVC Download episode
Quote: "A lot people are upset about this technology, but is the issue Flock itself, how law enforcement uses it, or the lack of rules governing it?"

LGT Capital Partners / TrueBridge

Description: LP/allocator firms (diversified asset manager; venture-only)
Why mentioned: Sources for the LP perspective piece
Quote: "Beezer Clarkson of LGT Capital Partners, a Zurich-based diversified asset manager, and Amit Bhatti of TrueBridge, a Chapel Hill firm that focuses solely on venture."

Luxury brands (Prada, Hermès, Ralph Lauren)

Description: Luxury fashion houses
Why mentioned: Using non-AI craftsmanship as brand differentiation
Quote: "emphasizing handmade art, traditional craftsmanship, and explicitly non-AI production in their advertising"

4. People Identified

Beezer Clarkson

Description: LP at LGT Capital Partners
Why mentioned: Veteran allocator offering cycle-tested perspective
Quote: "I've been doing this for a couple of decades, so seeing the cycles makes it less scary."

Amit Bhatti

Description: Venture-focused LP at TrueBridge
Why mentioned: Interviewee on LP views of the market
Quote: "Amit Bhatti of TrueBridge, a Chapel Hill firm that focuses solely on venture."

Garrett Langley

Description: CEO of Flock
Why mentioned: Guest on the StrictlyVC Download
Quote: "featuring our conversation with Flock CEO Garrett Langley."

Tyler Shultz

Description: Theranos whistleblower
Why mentioned: Warning that AI is ripe for fraud
Quote: "the AI boom creates fertile ground for fraud because investors may struggle to distinguish genuinely novel technology from thin 'ChatGPT wrappers'"

Changpeng "CZ" Zhao

Description: Binance cofounder
Why mentioned: Public spat with Musk after the hack
Quote: "reminding Musk that Binance's $500 million investment in the Twitter takeover left it holding SpaceX shares now worth more than $1 billion."

Elon Musk

Description: Tech executive
Why mentioned: Trolled Zhao following the hack
Quote: "asked Elon Musk to 'please stop' trolling him on X"

Pope Leo XIV

Description: Head of the Catholic Church
Why mentioned: Opposing AI personhood and calling for human control over lethal decisions
Quote: "'machines are tools, not persons' and warning that treating them otherwise could obscure human responsibility when AI causes harm"

Jeetu Patel

Description: President of Cisco
Why mentioned: Betting on a young operator to modernize legacy code with AI
Quote: "giving 27-year-old former startup founder Padmanabhan 'Paddy' Krishnamurthy four weeks and unlimited AI tokens"

Padmanabhan "Paddy" Krishnamurthy

Description: 27-year-old former founder at Cisco
Why mentioned: Tasked with rewriting 98% of Cisco's legacy code
Quote: "prove that he can rewrite 98% of the company's legacy code within 24 months."

David Tuttle and Peter Goldsborough

Description: Founders of Rune Technologies, ex-Anduril
Why mentioned: Sold to Salesforce
Quote: "founded by former Anduril leaders David Tuttle and Peter Goldsborough."

5. Operating Insights

Give a young operator a short, high-stakes, resource-unlimited sprint

Cisco's approach to legacy modernization is a template: a tight timeline, a clear measurable target, and effectively unlimited AI compute for a proven founder-type.

"Cisco president Jeetu Patel is giving 27-year-old former startup founder Padmanabhan 'Paddy' Krishnamurthy four weeks and unlimited AI tokens to prove that he can rewrite 98% of the company's legacy code within 24 months."

Build in verification and testing layers for AI output

Investors are funding the "trust layer," suggesting buyers want guarantees on correctness and agent behavior before deploying AI at scale.

"develops tools that mathematically verify whether legacy and AI-generated code meets specified safety, security, and correctness requirements"

Plan your financing around a tighter, more skeptical capital market

OpenAI's shortfall shows even top-tier names are cutting targets and valuations; founders should expect longer raises and lower marks.

"The company is now aiming to raise up to $20 billion as investor enthusiasm for the AI boom cools."

6. Overlooked Insights

Pro-regulation AI PACs are outspending industry groups

Safety-oriented political money now exceeds industry money in the midterms, with industry pivoting from direct fights to coalition-building, which could shape future AI regulation.

"safety-oriented groups spending about $40 million versus $36 million for Leading the Future's network as industry-backed groups pulled back from many competitive races and shifted toward coalition-building."

Binance's $500M Twitter stake turned into SpaceX equity

A passing detail reveals how a past deal converted into a large position in a pre-IPO company, illustrating unusual exposure paths to SpaceX.

"reminding Musk that Binance's $500 million investment in the Twitter takeover left it holding SpaceX shares now worth more than $1 billion."