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TP17: Caplight's Javier Avalos 📊 | Secondary Boom 🔥| Why Banks Need Private Mkts 🏦 | $230B xAI 🚀

December 23, 2025

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  • Financial institutions lagging in providing private market access solutions to clients risk falling behind competitors, as evidenced by recent acquisitions like Schwab/Forge and Morgan Stanley/EquityZen. 
  • The venture capital secondary market volume is significantly up year-over-year (on track for $3.5B in closed trades in 2025, up 50% YoY), driven largely by investor demand for pure-play AI exposure unavailable in public markets. 
  • The secondary market exhibits extreme concentration, with 83% of Q3 trading volume concentrated in just 15 companies, though disagreement over AI valuations is expected to fuel more deal volume in the near future. 
  • Investment competition is hyper-concentrated in the top 20 private market assets, leaving significant valuation opportunities for diligent investors focusing on the less-hyped middle segment of companies. 
  • The implied valuation multiples for AI companies, even with projected high growth, are being scrutinized against historical SaaS multiples and the stickiness of their revenue streams amid increasing competition. 
  • The $230 billion valuation for xAI appears driven more by the alignment and conviction of Elon Musk's close network of investors (like Valor Equity Partners and Double Line Partners) than by current, verifiable fundamentals like revenue or user count compared to peers like OpenAI. 

Segments

Bank Private Market Necessity
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(00:00:00)
  • Key Takeaway: Banks without private market solutions for clients are competitively disadvantaged.
  • Summary: Failure to offer clients access to private markets places banks and wealth management platforms behind competitors. This necessity is highlighted by recent high-profile acquisitions in the secondary space. The appetite from customers for investing in top-tier private companies is clear.
Oracle’s Cash Flow Crisis
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(00:04:44)
  • Key Takeaway: Oracle’s free cash flow turned negative in the current year due to ballooning CapEx commitments, pressuring its ability to finance debt.
  • Summary: Oracle’s free cash flow dropped from $14 billion in 2021 to negative this year, contrasting with cash-flow positive AI winners. The company overspent its CapEx guidance by $4 billion across Q2 and Q3, leading to a debt downgrade risk. This highlights a separation between AI players based on cash flow dynamics and infrastructure build-out costs.
AI Hype Cycle Review
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(00:07:07)
  • Key Takeaway: Public market performance of Mag 7 companies in 2025 strongly correlated with their direct AI opportunity, separating cash-flow positive hyperscalers from AI-adjacent infrastructure builders.
  • Summary: Companies with the biggest AI opportunities, like Google and NVIDIA, performed best year-to-day, while those with significant CapEx commitments, like Oracle, struggled. Hyperscalers with strong cash flow are safe, whereas AI-adjacent companies like Oracle face scrutiny over leverage and spending. The market is rewarding companies central to the AI transformation.
Mega Funds and VC Bifurcation
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(00:14:28)
  • Key Takeaway: Mega VC funds risk underperforming smaller strategic funds due to the trap of making oversized bets on a few overvalued companies, leading to market bifurcation.
  • Summary: Lightspeed raised a $9B fund focused on AI, continuing the trend of mega funds dominating fundraising, which historically underperforms smaller funds. The VC world is splitting between multi-billion dollar funds betting heavily on late-stage AI regardless of immediate returns, and small funds competing for expensive seed rounds. Seed valuations are now significantly higher, sometimes exceeding $40 million.
OpenAI’s Soaring Valuation
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(00:17:39)
  • Key Takeaway: OpenAI is reportedly discussing a $750 billion valuation, potentially raising $100 billion from Amazon, broadening its funding and supply chain beyond Microsoft and NVIDIA.
  • Summary: OpenAI’s ARR is topping $19 billion, projecting $30 billion next year, yet the potential $750B valuation implies a high multiple (30-45x ARR). The potential Amazon investment deepens a cloud partnership, but Microsoft’s existing equity stake may create future exclusivity conflicts regarding model sales. This rapid valuation increase follows a $500 billion valuation just months prior.
Databricks Valuation Justification
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(00:21:51)
  • Key Takeaway: Databricks’ new $134 billion valuation is rich but consistent with its faster growth compared to Snowflake and its top-decile execution in the SaaS market.
  • Summary: Databricks is raising at $134 billion, up from $100 billion previously, while growing ARR toward $5 billion. This valuation compares favorably to Snowflake’s lower market cap despite similar ARR figures, as Databricks is growing much faster. The resulting multiple is around 20x, aligning with the high end for top-performing public SaaS companies.
Notion’s Bubble Valuation Growth
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(00:27:19)
  • Key Takeaway: Notion successfully grew into its inflated 2021 valuation (100x revenue) by achieving a 10x revenue increase over several years, resulting in a current 20x multiple.
  • Summary: Notion is conducting secondary sales at its $11 billion valuation, which was set during the 2021 peak when it traded at 100 times revenue. The company has since grown revenue tenfold to $600 million, effectively justifying the valuation through execution. This is cited as a rare success story of growing into a premium bubble-era price.
Caplight’s Origin and Data Focus
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(00:40:10)
  • Key Takeaway: Caplight was founded to build infrastructure connecting the fragmented VC secondary market nodes, providing pricing transparency via aggregated transaction data.
  • Summary: Javier Avalos left Forge recognizing the difficulty of building a single trading platform due to market fragmentation and the entry of banks. Caplight’s core offering is aggregating trade data from hundreds of brokers to provide pricing transparency, helping to range-bound price discussions. Customers include broker-dealers, asset managers, VC funds, hedge funds, and LPs.
Secondary Market Concentration
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(00:48:13)
  • Key Takeaway: The unicorn herd represents $7 trillion in illiquid assets, yet trading volume is hyper-concentrated, with 83% of Q3 volume occurring in just 15 companies.
  • Summary: Concentration risk mirrors the public markets’ Mag 7 dominance, where a small number of names absorb the majority of capital and trading activity. This concentration means that outside the top 20-30 names, investors often lack reliable financial information unless they have board access. This dynamic allows investors with unique access to find value in less-trafficked companies outside the top tier.
SPV Structures and Fees
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(00:54:00)
  • Key Takeaway: SPVs are a necessary, sophisticated solution for large primary rounds, but investors must avoid multi-layered structures with excessive fees like 4-and-40, as FOMO can override due diligence.
  • Summary: SPVs now account for 50% of secondary market activity, up from 15% in early 2021, driven by the need to finance massive AI rounds. While single-asset SPVs allow GPs to aggregate demand while facing the company directly, multi-layered structures with high fees (e.g., 3-and-30) extract value without aligning incentives. Sophisticated investors should reject deals closing too quickly under opaque, high-fee structures.
Concentration vs. Undiscovered Value
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(01:04:29)
  • Key Takeaway: Information asymmetry allows investors to find value outside the top 20 assets where real valuation work is required without competing bids.
  • Summary: Investor desire for risk and concentration leads to hyper-competitive bidding for the top 20 private market assets. Access to information or unique angles outside this top tier allows investors to perform genuine valuation work and secure assets without competing bids. This highlights two distinct investment worlds: one driven by narrative and one by fundamental analysis.
AI Valuation Multiple Compression
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(01:05:22)
  • Key Takeaway: AI company revenue multiples are projected to compress from over 75x in 2024 to 50x in 2025, reflecting potential rationalization as growth rates slow.
  • Summary: A presentation slide suggested AI multiples dropping from over 75x revenue in 2024 to 50x in 2025, contrasting sharply with public SaaS multiples that fell from 18-20x to 6-8x. This compression assumes continued strong revenue growth but without the previous 2x or 3x valuation markups from investors. The stickiness of AI revenue year-over-year is a critical factor investors are now scrutinizing as competition heats up.
Missed Segment: Mid-Tier Companies
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(01:08:21)
  • Key Takeaway: A significant segment of several hundred mid-tier private companies ($50M-$200M+ revenue, 30-100% growth) is underserved by secondary liquidity.
  • Summary: The focus on the top 20-30 companies overlooks hundreds of substantial private companies that lack visibility and liquid secondary markets for employees and early investors. These mid-tier firms often require investors to underwrite stories independently, potentially leading to better entry valuations due to a lack of competing buyers. Building relationships in this segment can reward investors over time as these companies progress.
Private Market Data Sources
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(01:11:36)
  • Key Takeaway: Trading in pre-IPO secondary markets requires a mosaic approach, combining Caplight’s backward-looking transaction data with forward-looking bottoms-up analysis like that provided by Sakra.
  • Summary: Caplight positions itself as a canonical source for verified, backward-looking transaction data, showing trade history, structures, and pricing for specific assets. This data complements bottoms-up estimation methods, such as those used by Sakra, which focus on growth and unit economics to back into valuation targets. Informed decisions necessitate synthesizing multiple data sets side-by-side.
2026 IPO Outlook and Candidates
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(01:13:17)
  • Key Takeaway: The outlook for 2026 is a massive year for IPOs, with activity doubling across key preparatory milestones, potentially including Anthropic as a dark horse candidate.
  • Summary: Caplight tracks six key IPO milestones, and the activity across these metrics has doubled in the last 12 months, suggesting significant upcoming liquidity events. Valuations near the IPO stage are massive for names like SpaceX and OpenAI. Anthropic is cited as a potential 2026 IPO candidate that could be an exciting event for the pre-IPO secondary market if it goes public before OpenAI.
xAI Valuation Analysis
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(01:15:22)
  • Key Takeaway: The rumored $230B valuation for xAI implies an 80x revenue multiple, which is difficult to justify based on current metrics compared to peers, suggesting the valuation relies heavily on future potential across Elon Musk’s ecosystem.
  • Summary: xAI’s reported $3.2 billion in revenue (likely including media revenue from X/Twitter) at a $230B valuation yields an 80x multiple, which seems high compared to other AI players. While X has 600 million users, OpenAI reports significantly higher weekly active users, and Grok lags in API infrastructure. The valuation is largely supported by Elon Musk’s network and the potential for xAI to power Tesla and SpaceX, rather than current standalone performance.
Betting on Elon Musk’s Companies
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(01:21:08)
  • Key Takeaway: The $230B xAI round is anchored by investors (Valor, Double Line) with very close personal and financial ties to Elon Musk, raising questions about objective valuation versus alignment.
  • Summary: Key backers like Valor Equity Partners and Double Line Partners have leaders with documented close relationships with Elon Musk, as noted in past legal rulings concerning Tesla’s compensation package. While these investors are financially motivated, the round’s support structure suggests a high degree of belief in Musk’s ability to execute across his ecosystem. When forced to choose between SpaceX ($800B), Tesla (current cap), and xAI ($230B), SpaceX was selected as the preferred bet at its valuation.