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Which AI stock is selling for $3?

05 January 2026 Investing & Markets

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The short answer

As of January 6, 2026 (latest available quote timestamped 00:49–01:15 UTC), Airship AI Holdings, Inc. (NASDAQ: AISP) is trading at about $3 per share (roughly $3.28 at the time of the quote).

If by “AI stock” you meant the ticker symbol “AI” specifically (not “an AI-related company”), that’s C3.ai (NYSE: AI)—and it’s not a $3 stock right now (around $13.90 at the time of the quote).

Prices move constantly—so treat “$3” as a zone, not a promise. Check a real-time quote right before placing any trade.

The AI stock around $3: Airship AI (AISP)

What the company does (in plain English)

Airship AI describes itself as an AI-driven video, sensor, and data-management surveillance platform, aimed at public-sector and commercial customers—think turning lots of camera/sensor data into actionable signals. (1 2)

It also highlights products like Outpost AI (edge AI) and an enterprise software stack for managing sensors and video data. (1 2)

Why a legitimate “AI company” can trade around $3

A ~$3 share price doesn’t automatically mean “cheap” or “expensive.” It often reflects a mix of:

  • Small-cap scale (a smaller company can have a low per-share price even if it’s not “undervalued”).
  • High uncertainty (customer concentration, long sales cycles, uneven contract timing).
  • Dilution risk (small caps sometimes raise cash by issuing shares, which can pressure price).
  • Hype vs. fundamentals (AI headlines can move prices faster than revenue does).

A practical reminder: focus on market cap, balance sheet, and cash burn as much as the share price.

A quick “sanity check” list before you touch any $3 AI stock

This isn’t personal financial advice—just a checklist you can use in 10–20 minutes:

  1. What’s the product and who pays for it?
    Try to answer this in one sentence.

  2. Is revenue growing—or lumpy?
    Contract-driven businesses can look great one quarter and quiet the next.

  3. How does it fund operations?
    Look for signs of repeated share issuance, convertible notes, or other financing structures.

  4. What’s the realistic upside case?
    “AI will be huge” isn’t a business model; identify where margins come from.

  5. What would make you change your mind?
    Pick one or two measurable signals (customer retention, backlog, gross margin trend, etc.).

A different way to think about “price”: fixed-cost AI products vs. volatile AI stocks

When people search for a “$3 AI stock,” they’re often looking for asymmetric upside at a “low entry price.” Just remember: the entry price is low, but the risk can be high.

If what you actually want is to spend money on an AI-adjacent experience/product with a known upfront cost (instead of a price that can gap up or down overnight), it can be worth looking at consumer products in the space.

For example, Orifice.ai offers a sex robot / interactive adult toy for $669.90, positioned as an interactive device with penetration depth detection—a very different “AI purchase decision” than betting on a $3 small-cap stock. (Informational note: keep in mind privacy, warranty, and support policies for any connected device you bring into your home.)

Bottom line

  • If you mean “an AI-related stock around $3” today: Airship AI (AISP) is the cleanest match. (1)
  • If you mean the ticker “AI”: that’s C3.ai, and it’s not trading anywhere near $3 right now.

If you want, tell me whether you mean under $3 exactly or around $3 (say, $2.50–$3.50), and whether you prefer NASDAQ/NYSE only (no OTC). I can narrow it down to a short watchlist and a research checklist for each name.

Sources

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Rowan Voss

Rowan Voss

Rowan Voss is a technologist-turned-storyteller who writes about the crossroads of AI, society, and design. After a decade building service robots and edge-compute systems, Rowan left the lab to translate complex engineering and ethical questions into clear, imaginative narratives. Their work investigates how emergent technologies reshape daily life — from the ethics of recommendation engines to the subtle social choreography of smart spaces.

Rowan blends hands-on technical experience with a habit of asking 'what if' — what if homes learned to grieve, what if cities negotiated resource markets, what if algorithms learned to ask for consent. They contribute thoughtful essays, practical explainers, and scenario-driven features that help readers anticipate practical implications and policy choices. When not writing, Rowan mentors young engineers, composes modular synth music, and bikes through coastal fog looking for new story sparks.

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