SpaceX is planning an innovative, performance-linked approach to its share lock-up period ahead of its much-anticipated IPO, allowing certain shareholders to sell portions of their holdings earlier than the traditional 180-day restriction, according to a company filing.

The structure is designed to prevent a massive wave of shares from flooding the market simultaneously — a common concern in large IPOs that can lead to sharp post-listing volatility. Instead, SpaceX is tying the staged release of shares to the company’s operational and stock performance, betting on its strong momentum to justify earlier liquidity for select investors.

This marks a departure from the standard U.S. IPO lock-up convention, where early investors, employees, and insiders are typically barred from selling for six months to help stabilize the stock in its early trading days.

SpaceX’s plan reflects the company’s confidence in its trajectory and its desire to reward long-term holders while maintaining orderly market entry.

Details of the Staggered Release Mechanism

Under the proposed structure:

• Up to 20% of restricted shares could become eligible for sale shortly after the company’s first post-IPO quarterly earnings release.
• An additional 10% would be unlocked if the stock trades at least 30% above its offering price.
• Further blocks of 7% would become available at five separate points between 70 and 135 days after listing.
• Another 28% could be released after a subsequent earnings report.
• Any remaining restricted shares would become fully eligible at the standard 180-day mark.

The filing does not yet disclose the total number of shares subject to the staged lock-up or the exact percentage of outstanding stock that could be eligible for early release, with key figures redacted.

Elon Musk, who holds 85.1% of the voting power and 12.3% of the economic interest in Class A shares, has agreed to a longer 366-day restriction on selling his shares. Other significant investors have also committed to the same 366-day lock-up, though the filing does not specify their combined ownership percentage.

The staged approach aims to create a more gradual and orderly release of supply, reducing the risk of a sudden overhang that could pressure the stock price. Mayer Brown attorney Ali Perry, who specializes in public offerings, noted: “It is probably better for the market that there will not be one big lock-up cliff.”

However, the structure comes with trade-offs. While it smooths out the initial impact, it spreads potential selling pressure across several months rather than concentrating it on a single day, which could lead to prolonged volatility if performance triggers are met.

“The staggered approach smoothes out the initial impact, but ?doesn’t eliminate the impact, just redistributes it,” Perry added.

This type of arrangement was more common during the 2020–2021 IPO boom, when companies had significant leverage with investors amid abundant capital and high demand. High-profile listings such as Airbnb, DoorDash, and Snowflake used phased structures. More recently, companies like Cerebras (valued at over $100 billion), Rubrik, Reddit, and Ibotta have employed similar hybrid mechanics tied to earnings windows, stock-price thresholds, or blackout periods.

What It Means for SpaceX

SpaceX is targeting a valuation north of $1.5 trillion as a public company, making even a small percentage of unlocked shares potentially worth tens of billions of dollars. The staged release allows the company to balance the desire for early liquidity for certain shareholders (such as employees or early investors) with the need to maintain stability for the broader market.

The plan also differentiates between shareholder groups. Stricter restrictions are likely to apply to top executives and insiders with access to material information, while providing more flexibility to other long-term holders.

This approach aligns with SpaceX’s strong fundamentals and growth narrative. The company has seen its valuation increase around 20-fold since spring 2020, driven by Starlink’s expansion, reusable rocket technology, and its dominant position in commercial space launches. The IPO is expected to be one of the largest in history and could significantly deepen public market exposure to the space economy.

Additionally, SpaceX’s decision to adopt a performance-conditioned lock-up underpins evolving IPO dynamics in a high-valuation environment. Companies with exceptional growth stories and strong bargaining power are increasingly customizing traditional structures to suit their needs. This flexibility can help attract and retain talent through earlier liquidity events while reassuring public investors of orderly selling.

However, analysts believe that it also introduces complexity as investors will need to closely monitor performance milestones, earnings releases, and stock price triggers to anticipate potential supply increases. For the broader market, a successful implementation is expected to set a precedent for other high-profile tech and growth companies considering public listings.

Strategists at JPMorgan Chase are floating a scenario that would have seemed implausible only a few years ago: the S&P 500 climbing past 9,000 by mid-2027, powered by a deeper and more transformative artificial intelligence boom than markets currently anticipate.

The projection, outlined by JPMorgan Private Bank strategists Kriti Gupta and Nick Roberts, implies roughly a 22% gain from current levels and would mark another historic leg higher for a U.S. equity market already dominated by AI-linked optimism.

“While not the base case, the S&P 500 could reach as high as 9,000 by mid-2027,” Gupta and Roberts wrote in a note on Wednesday. “A ~22% gain from current levels may seem optimistic, but it remains entirely plausible.”

The call reflects how rapidly Wall Street’s AI narrative has evolved from a speculative technology theme into the central driver of equity valuations, capital spending, and corporate strategy. Investors who initially viewed the AI rally as concentrated in a handful of mega-cap technology firms are increasingly being forced to consider whether artificial intelligence could trigger a broader productivity shock similar to the internet boom of the late 1990s.

Technology shares have once again become the market’s locomotive. Tech stocks within the S&P 500 are up 23% this year, far outpacing the broader index’s 8% advance, as companies tied to AI infrastructure, semiconductors, cloud computing, and data centers continue attracting enormous flows of capital.

The concentration of gains has fueled concerns that markets may be overheating. Yet JPMorgan argues that the dominance of AI-related stocks may be justified if the technology significantly lifts productivity across the economy. The bank pointed to the late-1990s tech expansion as a historical template. During that period, productivity growth accelerated to an annualized 2.8%, helping fuel five consecutive years of returns above 20% for the S&P 500 between 1995 and 2000.

“We’ve seen it before,” Gupta and Roberts wrote. “It can happen again.”

At the center of the bullish thesis is the idea that AI could allow companies to expand earnings at double-digit rates without generating the kind of wage inflation and capacity pressures that typically force central banks to tighten policy aggressively. If businesses can automate workflows, improve efficiency, and boost output per worker, corporate margins could remain elevated even in a higher-rate environment.

That narrative has become especially important as markets grapple with renewed inflation risks stemming from the escalating U.S.-Iran conflict and surging energy prices. Rising oil costs have reignited fears that inflation could remain stubbornly high, forcing the Federal Reserve to keep interest rates elevated for longer than investors previously expected.

Those concerns intensified this week after a sharp sell-off in U.S. Treasurys pushed yields higher across the curve. The benchmark 10-year Treasury yield has jumped roughly 40 basis points in recent sessions as investors recalibrated expectations for future Fed policy.

Historically, such spikes in yields tend to pressure growth stocks, particularly highly valued technology companies whose earnings are weighted toward the future. Semiconductor and AI-related shares have already experienced bouts of volatility as investors rotate away from momentum trades. But JPMorgan views the pullback differently. Gupta and Roberts described the recent unwind in AI-linked trades as “healthy,” arguing that periodic corrections help reset positioning and reduce speculative excess before the next advance.

“Risk assets do not always go up in a straight line,” they wrote. “The current unwind in momentum stocks like semiconductors and other AI bottleneck trades in reaction to higher bond yields is entirely healthy. It sets the stage for the next leg up, with cleaner investor positioning.”

The bank also noted that equities can withstand rising bond yields if those higher yields reflect stronger economic growth expectations rather than fears of financial instability. In that scenario, investors may continue rewarding companies positioned to benefit from AI-driven productivity gains even as borrowing costs remain elevated.

The bullish projection also underlines the sheer scale of spending now pouring into AI infrastructure globally. Technology giants, including Microsoft, Alphabet, Amazon, and Meta Platforms, are collectively committing hundreds of billions of dollars toward chips, data centers, and AI software ecosystems. That investment wave has transformed semiconductor makers, cloud providers, and networking firms into some of the market’s most valuable companies.

However, Wall Street’s optimism is colliding with mounting geopolitical and macroeconomic uncertainty. Investors remain wary that prolonged tensions in the Middle East could sustain elevated oil prices, worsen inflation, and eventually slow consumer spending and business investment. The AI trade itself also faces questions about sustainability. Analysts continue debating whether corporate earnings can ultimately justify current valuations, particularly as many AI projects remain expensive and unproven commercially.

Still, the tone on Wall Street remains overwhelmingly constructive. Rather than viewing higher yields and periodic volatility as signs of an imminent collapse, many strategists see them as interruptions within a broader structural bull market tied to artificial intelligence.

JPMorgan’s 9,000 target may not be its formal base-case forecast, but the bottom line is that the bank believes the AI supercycle may still be in its early stages. This means that investors could be underestimating how profoundly the technology might reshape productivity, profits, and financial markets over the next several years.