Forget SpaceX: 2 AI Space Stocks to Buy and Hold Instead

Planet Labs and BlackSky are highlighted as AI-enabled Earth-imaging plays: Planet Labs added Anthropic’s Claude AI into its platform, reporting Q1 FY2027 revenue of $94M (+42% YoY) and a backlog up 72% to $906M. BlackSky’s Spectra platform uses AI to classify vessels, vehicles, and aircraft and recently won additional U.S. government contracts, with $160M in contracts booked in Q1 and stock up ~40% YTD. The article frames AI-driven analytics and contract wins as key near-term support, while also noting IPO-style volatility risk in the broader AI/space theme.

Analysis

The near-term takeaway is that AI is improving the usability layer of geospatial data faster than it is improving the economic moat. That favors vendors with the deepest sensor coverage, lowest revisit latency, and sticky government workflows; it does not automatically re-rate every satellite-data name. In practice, the first beneficiaries are sales efficiency and customer conversion, while the second-order losers are adjacent point-solution analytics providers that can be commoditized once LLMs make image querying simple.

Planet looks better positioned for commercial expansion than for a sudden margin step-function: AI-assisted query lowers adoption friction, but the valuation case still depends on backlog converting into durable billings, not just better product demos. BlackSky has the cleaner short-term catalyst because automated object detection and battle-damage workflows tie directly to mission urgency and contract awards, but the revenue path remains lumpy and heavily dependent on procurement timing. Defense primes and larger platform vendors can still bundle similar analytics into broader contracts, which caps pricing power for both names.

Contrarianly, the market may be overvaluing the AI wrapper and undervaluing the data asset. If the model is right, the durable winners are companies with recurring collection cadence and classified/government relationships, not necessarily the ones with the best interface. The main falsifier is a stall in bookings or backlog conversion over the next 1-2 quarters; if that happens, the current rerating can unwind quickly because these names trade on expectations more than current earnings.

Key Decisions for Investors

• Relative value: long BKSY / short PL for the next 1-3 months. Thesis is that BKSY has the sharper contract-driven catalyst, while PL’s Claude integration is more of a sales-tool improvement than a monetizable moat. Risk/reward is attractive if government task orders keep flowing; stop if PL shows accelerating commercial billings or BKSY misses contract conversion.
• Do not chase PL after the YTD move; wait for a pullback or evidence that backlog is converting into higher revenue retention. The right entry is on any post-earnings weakness or if the stock re-prices to where EV/revenue expands without a corresponding revenue re-acceleration.
• Use BKSY as a tactical event-driven long only into verified contract awards or funding updates, not as a buy-and-forget hold. The thesis breaks if the company fails to turn announced contract value into revenue within 2-4 quarters.
• Watch RKLB and larger defense/geo-intelligence platforms as indirect winners. If procurement starts favoring bundled end-to-end solutions, pure-play analytics margins could compress; that would argue for reducing exposure to the smaller names first.
• Alert level: if either PL or BKSY can sustain a second leg higher without a new bookings inflection, the market is likely extrapolating AI optionality too aggressively; in that case, consider hedging with short-dated calls against existing long exposure rather than adding outright.