📊 VC Pulse

Venture Capital Intelligence Report

December 25, 2025 • Synthesizing insights from top-tier VCs

🌍 Macro Outlook

Overall Sentiment

CAUTIOUS

Key Themes

AI Infrastructure MaturationQuality Over GrowthEnterprise AI Adoption

Market View

VCs are selectively bullish on AI infrastructure and enterprise applications, but increasingly cautious about consumer AI and late-stage valuations. Focus has shifted from generative AI experiments to profitable AI-first businesses.

Funding Environment

Series A and B remain competitive for quality deals, but Series C+ rounds face significant valuation pressure. VCs demand clear path to profitability within 18-24 months.

Valuation Trends

Down rounds increasing in late-stage, early-stage premiums persist for AI infrastructure. Public market multiples creating ceiling pressure on private valuations.

🔥 Hot Sectors

AI Infrastructure & Tooling 🔥🔥🔥 HOT

Building the picks and shovels for AI transformation - from model serving infrastructure to AI development platforms

📈 Stage: Series A 🏢 Examples: Modal, Weights & Biases, Replicate
Key Opportunities:
  • Multi-model inference platforms
  • AI observability tools
  • Edge AI deployment
Risks:
  • Commoditization by cloud providers
  • Open source alternatives
a16zLightspeedIndex Ventures
Vertical AI SaaS 🔥🔥🔥 HOT

AI-native software targeting specific industries with deep workflow integration and measurable ROI

📈 Stage: Seed 🏢 Examples: Harvey, Hebbia, Abridge
Key Opportunities:
  • Legal tech automation
  • Healthcare diagnostics
  • Manufacturing optimization
Risks:
  • Incumbent software adding AI features
  • Regulatory hurdles
BessemerGeneral CatalystAccel
Climate Infrastructure 🔥🔥 WARM

Physical infrastructure for energy transition - from grid modernization to carbon capture scale-up

📈 Stage: Growth 🏢 Examples: Form Energy, Stem, Crusoe Energy
Key Opportunities:
  • Energy storage systems
  • Grid flexibility software
  • Industrial decarbonization
Risks:
  • Long deployment cycles
  • Policy dependency
Breakthrough EnergyKleiner PerkinsGeneral Catalyst
Enterprise Security 🔥🔥 WARM

Zero-trust architecture and AI-powered threat detection as attack surfaces expand with cloud and AI adoption

📈 Stage: Series A 🏢 Examples: Wiz, Okta, CrowdStrike
Key Opportunities:
  • AI security platforms
  • Identity governance
  • Cloud-native security
Risks:
  • Market saturation
  • Consolidation by incumbents
AccelGreylockSequoia
Developer Infrastructure 🔥🔥 WARM

Tools for modern software development lifecycle, especially around AI/ML workflows and cloud-native development

📈 Stage: Seed 🏢 Examples: Vercel, Neon, Temporal
Key Opportunities:
  • AI-powered code generation
  • Multi-cloud orchestration
  • Developer experience platforms
Risks:
  • Platform risk from cloud providers
  • Open source competition
Benchmarka16zLightspeed

🔦 VC Spotlight

Andreessen Horowitz
Katherine Boyle
2024-12-15
American Dynamism - supporting founders building tech for national resilience

Defense tech and critical infrastructure represent massive untapped markets with strong regulatory moats

"Software is eating the world, including the most critical systems that keep our country running"
Defense TechSpacePublic Safety
Contrarian View: Government can be a great first customer for breakthrough technologies
Sequoia Capital
Pat Grady
2024-11-28
AI's $600B Question - focusing on AI companies with sustainable competitive advantages

Most AI companies will fail to generate returns commensurate with their valuations without strong moats

"The AI gold rush is real, but most miners won't strike gold"
AI InfrastructureEnterprise AI
Contrarian View: Many AI unicorns are overvalued and will face down rounds
Benchmark
Eric Vishria
2024-12-10
The New Stack - infrastructure for the next generation of applications

Developer tools that increase productivity by 10x+ will capture enormous value

"Every major platform shift creates new infrastructure winners"
Developer ToolsAI Infrastructure
Contrarian View: Open source will dominate AI models, but tooling around them will be commercial
Greylock Partners
Reid Hoffman
2024-12-05
The Intelligent Enterprise - AI transformation of business software

Enterprise software will be rebuilt from the ground up with AI-first architectures

"We're not just adding AI features; we're reimagining how software works"
Enterprise AIFuture of Work
Contrarian View: Human-AI collaboration, not replacement, is the real opportunity
Lightspeed Venture Partners
Sophie Bakalar
2024-11-20
Climate Infrastructure at Scale - backing technologies for gigaton impact

Climate solutions need to be economically superior, not just environmentally friendly

"Climate tech 2.0 is about building better products that happen to be green"
Climate TechEnergyIndustrial
Contrarian View: The best climate solutions won't need subsidies to succeed

🌱 Emerging Themes

🌱 AI Agents for Business Processes Mainstream adoption by 2026-2027

Autonomous AI agents that handle complex, multi-step business workflows end-to-end

Why Now:

LLM reasoning capabilities crossed threshold for reliable business-critical tasks

Market Potential:

$500B+ market for business process automation

Early signals from: Greylock, Index Ventures, General Catalyst

Companies to watch: Decagon, Sierra, Lindy

🌱 Defense Tech Renaissance Already emerging, accelerating through 2025

Commercial technology companies building dual-use products for defense and civilian markets

Why Now:

Geopolitical tensions + Pentagon recognition of commercial tech superiority

Market Potential:

$100B+ annual defense tech market

Early signals from: Founders Fund, a16z, 8VC

Companies to watch: Anduril, Palantir, SpaceX

🌱 Compound AI Systems Early stage, mainstream by 2026

Applications that combine multiple AI models and traditional software for better performance

Why Now:

Single large models hitting performance plateaus, need for specialization

Market Potential:

$200B+ market for AI orchestration platforms

Early signals from: Kleiner Perkins, NEA, Bessemer

Companies to watch: Databricks, LangChain, Weights & Biases

🌱 Synthetic Biology Manufacturing Commercial applications scaling 2025-2030

Using engineered biology to manufacture everything from materials to medicines

Why Now:

DNA synthesis costs plummeting, computational biology breakthroughs

Market Potential:

$3T+ addressable manufacturing market

Early signals from: Flagship Pioneering, DCVC, Lux Capital

Companies to watch: Ginkgo Bioworks, Zymergen, Modern Meadow

❄️ Cooling Sectors

❄️ Consumer Social & Content

Previous: Hot in 2021-2022 with creator economy boom → Now: Significantly cooled

User acquisition costs skyrocketed, platform risk from iOS changes, limited monetization paths

What Changed: Shift from growth-at-all-costs to sustainable unit economics

VCs Cautious: Sequoia, a16z, Greylock

❄️ Generic Generative AI

Previous: Extremely hot through mid-2024 → Now: Cooling rapidly

OpenAI and Anthropic dominance clear, most applications lack defensibility

What Changed: Realization that wrapper companies have limited moats

VCs Cautious: Most tier-1 VCs

❄️ DTC E-commerce

Previous: Pandemic darling through 2021 → Now: Cold

CAC/LTV economics broken, return to physical retail, market oversaturation

What Changed: iOS 14.5 privacy changes destroyed performance marketing arbitrage

VCs Cautious: Forerunner, Bessemer, General Catalyst

👨‍💻 Founder Insights

AI Product Strategy

Build AI-native products, don't just add AI features to existing software

💡 Design your UX around AI capabilities from day one, not as an add-on

— Sequoia Capital

Enterprise Sales in 2025

CFOs are now the ultimate decision makers for software purchases, not CTOs

💡 Lead with ROI metrics and cost savings, not technical capabilities

— Bessemer Venture Partners

Talent Strategy

AI engineers are the new full-stack developers - hire for adaptability over narrow expertise

💡 Focus on engineers who can work across the AI stack, not just model training

— Greylock Partners

Fundraising Environment

Show a clear path to profitability by Series B or risk being unfundable

💡 Build unit economics models from day one, not growth-first metrics

— Lightspeed Venture Partners

Go-to-Market

Product-led growth works for dev tools, but enterprise needs human-led sales

💡 Don't rely solely on PLG for enterprise deals over $50K ACV

— Accel Partners

💰 Deal Activity

Deal volume down 40% YoY but average deal size up 25% as VCs focus on quality over quantity. Series A competition remains intense for AI infrastructure companies.

🚀 Mega Rounds

Anthropic $4.1B

Series C • Lead: Amazon • Others: Google, Spark Capital

Validates massive capital requirements for frontier AI development

AI Foundation Models
Stripe $6.5B

Growth • Lead: Sequoia Capital • Others: Thrive Capital, General Catalyst

Shows continued appetite for proven fintech platforms with global reach

Fintech Infrastructure
OpenAI $6.6B

Series C • Lead: Thrive Capital • Others: Microsoft, Khosla Ventures

Maintains position as leading AI lab despite competition

AI Foundation Models

🚪 Notable Exits

Databricks $43B

IPO • Key investors: Andreessen Horowitz, NEA, Lightspeed

Data infrastructure companies can achieve massive scale in AI era

Figma $20B

Acquisition • Key investors: Greylock, Kleiner Perkins, Index

Developer-loved products command premium valuations even in tough markets

🎯 Contrarian Takes

Marc Andreessen (a16z)

Their View

AI regulation will stifle innovation and benefit incumbents

VS
Consensus

Most VCs support some form of AI safety regulation

Reasoning: Regulation always creates barriers to entry that favor large companies

Their Bet: Backing AI companies building in regulatory arbitrage jurisdictions

Keith Rabois (Khosla Ventures)

Their View

Remote work is dead and companies must return to in-person

VS
Consensus

Many VCs still bullish on distributed work tools

Reasoning: Innovation requires in-person collaboration and serendipitous encounters

Their Bet: Only investing in companies with strong in-person cultures

Mamoon Hamid (Kleiner Perkins)

Their View

Climate tech will generate better returns than AI

VS
Consensus

AI seen as biggest opportunity of the decade

Reasoning: Climate has larger TAM and less competition from tech giants

Their Bet: Allocating 50% of new fund to climate infrastructure