Get Started
Sign In Get Started

Source Report

Research Question

Research analyst reports and VC data on AI startup spending trends, projected enterprise AI budgets for 2026-2027 and Y-o-Y growth rates in token consumption. Include data from Menlo Ventures, Bessemer, and other AI market reports with specific B2B token demand forecasts.

Global AI Spending Projections for 2026-2027

Gartner's January 2026 forecast projects total global AI spending at $2.53 trillion in 2026, surging to $3.34 trillion in 2027, with a 44% year-over-year (Y-o-Y) growth from 2025 to 2026 driven primarily by infrastructure expansion rather than applications; this reflects enterprises prioritizing scalable compute foundations over experimental software, as AI shifts from "visionary projects" to industrial add-ons.[1] Infrastructure alone captures $1.37 trillion (54%) of 2026 spending, growing to $1.75 trillion in 2027 at 28% Y-o-Y, while services hit $589 billion and software $452 billion in 2026.[1] For enterprises, this implies B2B budgets will balloon as capex funnels into servers and data centers, but with disillusionment curbing app-level hype.

  • AI Services: $439B (2025) → $589B (2026, +34% Y-o-Y) → $761B (2027)[1]
  • AI Software: $283B → $452B (+60%) → $636B[1]
  • AI Infrastructure: $965B → $1.37T (+42%) → $1.75T[1]
  • Total: $1.76T → $2.53T (+44%) → $3.34T[1]

Implications for B2B entrants: Enterprises face lock-in to hyperscaler ecosystems (e.g., AWS, Azure) for infrastructure; startups must target niche services or software overlays with 50-60% Y-o-Y growth potential, but infrastructure providers dominate budgets—competing here requires massive capex scale unattainable for most VCs.

Hyperscaler Capex Driving Enterprise AI Infrastructure

Hyperscalers like Microsoft, Google, Amazon, and Meta are projected to spend $527 billion on AI capex in 2026 (up from $465B consensus pre-Q3 2025 earnings), with Y-o-Y growth decelerating from 75% in Q3 2025 to 49% in Q4 2025 and 25% by end-2026, as they deploy AI servers at scale but hit supply bottlenecks.[2] This capex—equating to 0.8% of GDP—funds enterprise-facing infrastructure, enabling B2B AI via cloud platforms; potential upside to $700B aligns with historical tech booms, but investor scrutiny on revenue returns is fragmenting stock gains from infrastructure to software enablers.[2] Enterprises indirectly fuel this via multi-year contracts, projecting steady B2B token demand through hosted models.

  • Q3 2025 capex: $106B (+75% Y-o-Y, AI + non-AI)[2]
  • 2026 consensus: $527B, with $200B upside possible per Goldman Sachs[2]
  • Growth slowdown: 75% → 49% → 25%, constrained by supply/investor appetite[2]

Implications for competitors: B2B players can't match hyperscaler capex; focus on "AI Platform" niches like databases/tools, which outperformed amid adoption—enterprise budgets will prioritize integrable layers over raw infra, favoring partnerships with capex giants.

AI startups captured $222 billion in VC funding in 2025 (65% of total VC dollars per Pitchbook/NVCA), with examples like TinyFish AI raising $47M amid thousands of deals, signaling ecosystem breadth beyond giants like OpenAI ($500B valuation) or Anthropic ($183B).[3][4] No direct Menlo Ventures or Bessemer reports surfaced, but Sequoia notes 2026 as "Year of Delays" for data centers/AGI yet accelerating end-user adoption, with coding/ChatGPT apps nearing $10B+ revenue each and a dozen startups hitting $100M+ ARR.[5] This VC flood sustains startup spending on talent/models, indirectly boosting enterprise pilots.

  • 2025 VC: $222B to AI startups (65% market share)[3]
  • Valuations: OpenAI $500B, Anthropic $183B, 10-employee SSI at $5B post-$1B round[4]
  • Revenue ramps: Coding/ChatGPT → double-digit billions in 2026[5]

Implications for new entrants: VC abundance (historic highs) favors proprietary tech/brand, but 40%+ agentic AI project cancellations by 2027 demand due diligence—B2B startups should prove revenue traction early to tap residual capital amid delays.

Token Consumption and B2B Demand Forecasts

No search results provided explicit Y-o-Y growth rates or B2B-specific forecasts for token consumption (e.g., inference requests to models like GPT/Claude), a key proxy for enterprise AI usage; infrastructure growth (42-49% Y-o-Y in servers/accelerators) implies proportional token demand surges as enterprises scale ML pipelines.[1] Gartner segments show models ($26B in 2026, +83% Y-o-Y) and platforms ($31B, +42%) as high-growth but tiny vs. infra, suggesting B2B token spend embeds in services/software budgets ($1T+ combined 2026).[1] Deloitte notes AI startups scale revenue 5x faster than SaaS, hinting at token-driven B2B acceleration.[7]

  • Indirect proxies: AI Models $14B (2025) → $26B (2026, +83%) → $43B[1]
  • Platforms/ML: $22B → $31B (+42%) → $44B[1]
  • Enterprise inference likely tracks services growth: +34% Y-o-Y to 2026[1]

Implications for market participants: Without granular token data, assume 30-50% Y-o-Y B2B growth tied to infra/services; competitors should build on open models to undercut hyperscaler token pricing, as end-user adoption (per Sequoia) outpaces capex delays—focus on cost-per-token efficiency for 2026-2027 budgets.

Confidence and Gaps: High confidence in spending/capex from Gartner/Goldman (recent 2026 data); medium on VC (2025-focused); low on token forecasts due to absence of Menlo/Bessemer specifics or direct metrics—additional searches on those firms or Cohere/Anthropic reports would refine B2B demand.

Sources:
- [1] https://www.trendingtopics.eu/ai-spending-to-rise-to-more-than-2-5-trillion-in-2026-bulk-flows-into-infrastructure/
- [2] https://www.goldmansachs.com/insights/articles/why-ai-companies-may-invest-more-than-500-billion-in-2026
- [3] https://www.marketplace.org/story/2026/01/27/exploring-the-ai-boom-on-the-ground-in-silicon-valley
- [4] https://www.feinternational.com/blog/ai-business-valuation-model-2026
- [5] https://sequoiacap.com/article/ai-in-2026-the-tale-of-two-ais/
- [6] https://nextword.substack.com/p/33-predictions-for-2026-in-ai-consumer
- [7] https://www.deloitte.com/us/en/insights/topics/technology-management/tech-trends.html

Recent Data Update (February 2026)

AI Startup Funding Surges to Record Levels in 2025, Signaling Sustained Investor Confidence into 2026

Private AI companies raised a record $225.8B globally in 2025, nearly double 2024's total, with Q4'25 alone hitting $83.2B as investors concentrated on mega-rounds ($100M+), which captured 79% of funding—driven by foundation model labs like xAI ($20B Series E in Jan 2026) and Anthropic ($10B announced same week), where cash burn on compute, talent, and energy is offset by equity raises and hyperscaler capex commitments exceeding $300B for 2025-2026[1][4]. This top-heavy trend—58% of AI funding in megarounds $500M+—shows VCs prioritizing scale over breadth, with U.S. AI startups alone securing 55 rounds of $100M+ in 2025[1][7].

  • AI captured 50% of all global VC funding in 2025 ($202.3B total AI investment), up from 34% in 2024 (75% YoY growth); foundation labs took 40% ($80B, >2x YoY)[1].
  • Menlo Ventures' Dec 2025 gen AI report: enterprise AI revenue hit $37B in 2025 (3.2x from $11.5B in 2024), split $19B apps / $18B infra[1][2].
  • CB Insights State of AI 2025 (recent pub): deal counts dipped late-year, but check sizes grew at every stage[4].

Implication for competitors/entrants: New entrants face a "winner-take-most" moat; without $500M+ scale for compute, focus on PLG niches (27% of app spend, 4x traditional software rate) like departmental coding tools ($4B, 55% of apps)[2].

Enterprise Gen AI Spend Hits $37B in 2025, with Apps Outpacing Infra via Departmental and Copilot Adoption

Menlo Ventures' "2025: State of Generative AI in the Enterprise" (published late 2025) reveals companies funneled $37B into gen AI, with $19B (51%) to user-facing apps (6% of total software market)—departmental AI exploded 4.1x to $7.3B (coding at $4B), verticals 3x to $3.5B (healthcare $1.5B), and horizontals 5.3x to $8.4B (copilots $7.2B, 86% share)—while infra doubled to $18B (APIs $12.5B), as PLG drove 27% of app adoption vs 7% in legacy software[2].

  • App breakdown: coding ($4B), IT ($700M), marketing ($660M), CS ($630M); verticals led by healthcare (nearly 50% share, 3x YoY)[2].
  • Infra: foundation APIs ($12.5B), training ($4B), data orch ($1.5B)[2].
  • KPMG Q4 2025 AI Pulse: 67% of leaders commit $124M avg spend next 12mo even in recession, 59% expect ROI in 12mo[5].

Implication for competitors/entrants: Target "immediate ROI" workflows like coding/marketing (55%+ departmental share); incumbents lock in via copilots, so startups should build agent platforms (10% horizontal share, $750M) for underserved automation[2].

Token Consumption Proxies via Consumer/Enterprise Spend Show Acceleration, No Direct B2B Forecasts Yet

Consumer Edge Q4 2025 data shows U.S. AI app spend up 133% YoY through Nov 2025 (138% H2 avg, accelerating from Q1 86%/Q2 115%), with engineering (coding) jumping to 2nd largest category and productivity at 70% share (170% YoY); brands like Mistral (1400% growth) signal token-heavy usage spikes[3]. No explicit B2B token forecasts in recent reports, but Menlo's API spend ($12.5B, core token driver) implies voracious 2026 demand tied to hyperscaler compute hikes[1][2].

  • Fastest growers: Mistral (1400%), Heidi health scribe (300%), Replicate hosting (400%), Gamma presentations (280%)[3].
  • Crunchbase: foundation labs' "voracious compute appetite" questions 2026 equity needs vs partnerships[1].

Implication for competitors/entrants: Token costs scale with PLG/engineering adoption; optimize for low-latency APIs to undercut $12.5B layer, as 2026 hyperscaler capex suggests token supply growth but pricing pressure[1][2].

2026-2027 Enterprise Budget Projections: Steady at $100M+ Levels, Agent-Driven Growth Expected

KPMG Q4 survey projects $124M avg enterprise AI deployment over next 12mo (through early 2027), recession-proof at 67% commitment; Menlo/others forecast continued 3x+ trajectory from $37B 2025 base, fueled by agents (e.g., Salesforce Agentforce at 10% horizontal)[2][5]. No granular YoY token rates, but 3.2x 2024-2025 spend implies ~150-200% growth if app/infra split holds.

  • Hyperscalers upped 2026 capex post-$300B+ 2025[1].
  • CB Insights: post-2025 funding confidence sustains burn[4].

Implication for competitors/entrants: Budgets favor agents/copilots ($7.2B+ scale); enter via verticals like healthcare ($1.5B, tripling path) where domain data moats beat generalists[2].

Confidence: High on 2025 data (fresh Dec/Q4 reports); medium on 2026-27 projections (survey-based, no Menlo/Bessemer 2026 updates); token forecasts absent—suggest targeted search for Bessemer H2 2025 or OpenAI API metrics.

Sources:
- [1] https://news.crunchbase.com/ai/big-funding-trends-charts-eoy-2025/
- [2] https://menlovc.com/perspective/2025-the-state-of-generative-ai-in-the-enterprise/
- [3] https://www.consumeredge.com/resources/insights/ai-spotlight-q4-2025-report/
- [4] https://www.cbinsights.com/research/report/ai-trends-2025/
- [5] https://kpmg.com/us/en/media/news/q4-ai-pulse.html
- [6] https://www.captrust.com/resources/fourth-quarter-2025-investment-strategy-productivity-and-the-search-for-ai-payoffs/
- [7] https://techcrunch.com/2026/01/19/here-are-the-49-us-ai-startups-that-have-raised-100m-or-more-in-2025/

← Back to Is there an AI Bubble?