The a16z Show
Episode: When Giants Don’t Go Public: Inside the $5 Trillion Private Tech Market
Date: February 26, 2026
Host: Andreessen Horowitz (Produced by a16z)
Guests: David George (Head of Growth, Andreessen Horowitz / a16z), Joe Wiesenthal & Tracy Alloway (Bloomberg Odd Lots)

Episode Overview

This episode explores the dramatic rise of the tech private markets, now representing a staggering $5 trillion in market cap, and discusses why successful, high-growth tech companies are staying private longer or sometimes indefinitely. David George, head of Growth at a16z, joins Odd Lots hosts Joe Wiesenthal and Tracy Alloway for a deep-dive into the incentives, challenges, and changing business models affecting public and private tech businesses—particularly in the current era of AI hyper-growth. Key themes include the “permanent fundraising” cycle, employee liquidity and tender offers, the rise (and risks) of SPVs, pressures on legacy software companies, and how outcome-based pricing could disrupt the entire industry.

Key Discussion Points & Insights

1. The Massive Shift: $5 Trillion in Private Tech ([03:19], [06:22])

• Highly valued private tech companies now represent about $5 trillion in market cap—almost a quarter of today’s S&P 500 and 15% of the NASDAQ, and an astonishing 40% of NASDAQ if you exclude the "MAG7".
• The private tech sector’s market cap has grown 10x in the last 10 years, while the number of public companies has halved over 20 years.
• The largest 10 private companies account for 40% of this $5T figure, illustrating a “power law” concentration.
• Quote (David George, [06:32]): “If you actually want to invest in the highest growth, most promising companies that could be that next mag7, chances are they're in the private market.”

2. Why Do Companies Stay Private Longer?

a. Depth and Liquidity of Private Capital ([06:22], [09:47])

• Private markets are more liquid and deeper than ever, especially for top-tier, highly attractive companies.
• Founders can control stock price movements, avoid public market volatility, and still offer significant liquidity to employees through tender offers.
• It’s compelling to remain private if you have easy access to this capital and can avoid regulatory headaches.

b. Headaches of Being Public ([09:47])

• For smaller companies, IPO costs can be a significant burden—$10–20 million annually, a major consideration for companies near $100M rev.
• Public investors and analysts favor large-caps, making it harder for small caps to draw market attention or build momentum.
• Public market volatility (especially as seen post-2021) hurts employee morale and retention when equity values swing.

c. The “Always Fundraising” Dynamic ([03:35])

• Unlike the old Series A/B/C cycle, fundraising for some companies (notably in AI) is now “permanent,” blurring the lines between private rounds and IPOs.

3. Employee Compensation: Liquidity in Private Markets ([11:21])

• Public tech employees get regular, liquid RSUs. Competing with that is tough for private firms, yet tender offers (buying a portion of employees’ vested stock) has become common.
• SpaceX runs tender offers twice a year, boosting employee satisfaction and retention.
• Quote (David George, [11:56]): “It’s not a perfect substitute [for public RSUs], but, for the employees or potential new hires who are true believers, I think it’s enough to combat that RSU public market dynamic and compensation scheme.”

4. The SPV (Special Purpose Vehicle) Problem ([15:54])

• Founders often dislike SPVs, as they obscure who is actually on the cap table and can introduce unknown or unaligned investors.
• Some investors misrepresent their capital source, leading to “huckster” behavior—a risk especially in go-go markets.
• Quote (David George, [16:41]): “Founders, for the most part, really don’t like it… We counsel our founders to stay away from it as much as possible.”

5. Pricing and Value Creation in Private vs. Public Markets ([19:36])

• Historically, most value was created after IPO—88% of value was public; now, 55% of new gains are captured in private markets.
• Private markets may offer a valuation "discount," but also allow longer and more patient investment horizons.
• Public investors struggle to “grok” hyper-growth in valuation models, imposing a lowering growth curve even for top companies.
• Quote (David George, [19:36]): “If you could let me have a career of investing in market leading great technology companies where we could buy them at 21 times revenue and they're growing 100%, that would be an incredible trade.”

6. Deciding When and Why to IPO ([26:34])

• The number one reason to IPO: access to enormous pools of public capital (needed for, say, massive AI infrastructure or data center buildouts).
• Public markets also enable more competitive M&A, provide more liquid “stock currency”, and increase brand trust for customers (especially in B2B).

7. AI’s Explosive Growth and Sector Impacts

a. AI Businesses as the Ultimate Growth Engines ([28:38], [33:13])

• AI firms are growing at unprecedented rates. Users number in the billions, with extremely high time engagement and value extraction.
• The demand signals for AI are stronger than for any prior “platform shift”—be it internet, mobile, cloud, or e-commerce.
• Quote (David George, [33:13]): “Demand signals are probably—no, definitively— the best we've ever seen in my career.”

b. The Buildout ("Supply Side") ([33:13])

• AI infrastructure capex ($5T over 5-7 years) is enormous, but cycle times are short; industry won’t repeat the “dark fiber” mistake.
• GPU/TPU resources are immediately and fully utilized—there’s no meaningful overbuild yet.

c. Differentiating AI Companies ([32:36])

• Industry-specific context is king. The most durable companies will own deep, industry-tailored data and workflows—not just general AI models.
• Model-makers (OpenAI etc.) will act as “arms dealers” to others, but specialist vendors will own key value-chains in high-context verticals.

8. The Coming Disruption: Outcome-Based Pricing ([41:15])

• A major industry shift: from license → subscription → consumption → outcome-based pricing (e.g., only paying for support tickets resolved).
• This model favors newcomers, as incumbents struggle to pivot pricing models or tech.
• Could further undermine legacy vendors as buyers start prioritizing measurable, direct value received.

Notable Quotes & Moments

• David George ([06:32]): "If you actually want to invest in the highest growth, most promising companies that could be that next mag7, chances are they're in the private market."
• David George ([13:13]): “Founders, for the most part really don't like [SPVs]... They want to know who is on their cap table.”
• David George ([19:36]): “55% of market cap creation now happens in the private markets, a massive shift from a decade ago.”
• David George ([28:38]): “AI companies are speed-running the process of company growth... models are improving at an eye-popping rate.”
• David George ([33:13]): “Demand signals [for AI] are definitively the best we’ve ever seen in my career... much faster than the Internet, mobile, or cloud phases.”
• David George ([41:15]): “In the future, with AI and a lot of domains, it's going to be outcome-based pricing... If we get there, it's going to be really tough for the incumbents.”

Timestamps for Important Segments

• [03:19] - The size and growth of the private tech market
• [06:22] - Why companies stay private longer: structural shifts
• [09:47] - Costs and challenges of IPO and public company life
• [11:21] - How liquidity works for employees in private tech
• [15:54] - The rise and risks of SPVs in private fundraising
• [19:36] - How and where value is now created: public versus private
• [26:34] - What triggers an IPO for large companies
• [28:38] - The AI effect on capital needs and market dynamics
• [32:36] - Cutting through AI hype: what differentiates winners
• [37:41] - The danger to legacy software & outcome-based pricing
• [41:15] - Legacy software’s challenges and business model shifts

Summary Table: Private vs. Public Tech Market Trends

| Factor | 2010s (Old Model) | 2020s+ (Current) | |-------------------------------|--------------------------|-------------------------| | IPO Timing | Early, small companies | Much later, mega-sized | | Value Creation | 88% post-IPO | 55% pre-IPO/private | | Public Co. Market Growth | Robust | Halved in 20 years | | Employee Liquidity | IPO essential | Tender offers common | | Capital Sourcing | Public-driven | Private pools deeper | | Pricing Models | License/subscription | Shifting to outcomes | | AI Impact | N/A | Accelerating changes |

Final Thoughts

This episode is a masterclass in understanding the new landscape of mega-scale tech, where the private market is not only dominant but perhaps even preferable—at least until extreme capital needs or strategic advantages draw companies public. For investors, founders, and employees alike, the rise of AI is accelerating every dynamic, creating new winners and battles. Anyone in tech or finance who wants to understand tomorrow’s giants, or the risks facing today’s incumbents, will find David George’s perspectives invaluable.

Listen If You Want To Know:

• Why you likely can’t buy the world’s highest-growth companies on public markets—and may never be able to.
• How the “permanent fundraising” model works for giants like SpaceX or OpenAI.
• The real risks (and occasional scams) behind SPV investment vehicles.
• How outcome-based pricing could upend the entire software sector.
• Why AI isn’t just growing fast—it’s rewriting the rulebook for value creation and capital flows.

Key Speaker Attribution:

• David George (a16z): Deep insights into capital markets, employee comp, SPV risks, AI trends, business model shifts.
• Joe Wiesenthal & Tracy Alloway (Odd Lots): Probing, accessible financial journalism framing capital market narratives for a general audience.

For anyone serious about tech investing or the future of big business, this conversation is essential listening.