Top AI Stocks Under $10 : Overview
If you want to know the top AI stock to invest in today, most long-term investors still suggest the large players — Microsoft (MSFT) and Nvidia (NVDA). That's because they have the infrastructure, cloud infrastructure, and alliances that are driving most of the AI growth.
If you prefer to search for "AI stocks under $10," you should be aware that they are typically smaller firms with higher risk but lower cost. My top stocks under $10 to consider today are Veritone (VERI), BigBear.ai (BBAI), and Rekor Systems (REKR) — they're under $10 and have distinctive AI products or customers (speech/machine learning platforms, defense & analytics, and vehicle-vision AI, respectively). (See prices and tickers below.)
Numerous small firms on financial websites are labeled as "AI." I concentrated on firms that have explicit AI products or generate revenue from machine learning. If you prefer, I can expand this to include more than 30 tickers and provide daily quotes for all.
Quick, practical list — notable AI / AI-adjacent stocks under $10 (prices shown are market closing/quoted values near Aug 7–8, 2025)
This is a dynamic dashboard. You can search for a company or ticker, and click on the column headers to sort the data.
| Ticker | Company | Price_USD | LastTradeUTC |
|---|
Also Read: Best Stock Broking Companies in Coimbatore – Trusted Firms
link: https://techventurespot.com/stock-broking-companies-in-coimbatore
My Top 3 under-$10 AI picks (so far) — and why
These are research starting points — not buying s, suggestions.
Veritone (VERI)
enterprise customers, top-line platform, and subscription license models make it more than a hype play; but still small-cap and loss-making, you're at least getting revenue growth + product (voice, media AI).
BigBear.ai (BBAI)
does government and defense analysis. They have consistent budgets and can have large contracts. This is not a company about cool chat tech, but about making smart decisions.
Rekor (REKR)
revenues from operational camera/ANPR installations; municipal victories push revenues into view (but margins & governance are more important).
Which AI stock will do well in 2025?
The best method of achieving giant returns with AI in 2025 is to invest in infrastructure and cloud firms such as Nvidia, Microsoft, and Google/Alphabet since they are the backbone of the whole system.
For small firms, a "boom" can occur, but it is much harder to anticipate. Successful small firms will be the ones that monetize AI products and achieve constant revenues and small-sized deals.
A realist's perspective on stocks less than $10
any one of the smaller stocks on the list can appreciate in value overnight on a new contract, merger rumor, or favorable earnings report, but as many can lose all their value. Use them as speculative short-term plays or small options in a diversified investment portfolio.
Top 6 AI picks — scored table
| Ticker | Company | FY-2024 Revenue (USD) | YoY Revenue Growth | Cash & Short-term (FY-ed) | Cash runway (qual.) | Risk (1–10) |
|---|---|---|---|---|---|---|
| VERI | Veritone, Inc. | ≈ $92.6M | ≈ -7% | ≈ $16–17M | Medium (6–18 mo) | 6 |
| BBAI | BigBear.ai Holdings | ≈ $158.2M | ≈ +2% | Limited liquidity (material adjustments noted) | Short–Medium (low/unevenly without financing) | 8 |
| R. EKR | Rekor Systems | ≈ $46.0M | ≈ +32% | ≈ $5.3M unrestricted cash | Short–Medium | 6 |
| LIDR | AEy. e, Inc. | Very low / uneven product revenue in 2024 | Significant decline in some product lines | ≈ $22.3M (cash + marketable securities) | Medium | 7 |
| OSS | One-Stop Systems, Inc. | Q4 revenue $15.1M (FY-scale business) | Positive growth (Q4 +15% YoY) | ≈ $10.0M cash + ST investments | Medium–Long | 4 |
| DUOT | Duos Technologies Group | Small base (Q4 ≈ $1.46M) | Flat-to-negative in FY-2024; guidance implies ramp | ≈ $6.3M (FY-end); ~3.8M reported later | Short–Medium | 7 |
How I selected / screening list (use this as your list of investors)
Apply the same general tests to any Artificial Intelligence stock trading under $10:
- Revenue & growth (are they charging for actual AI products or pre-revenue demos?).
- Gross margin / recurring revenue (SaaS or license beats one-off projects).
- Customers/contracts — large business or government contracts are solid confirmation.
- Cash runway and debt — tiny AI companies burn through cash; look at the cash on the balance sheet.
- IP / defensibility — proprietary models, data moats, or new sensors (e.g., iDAR).
- Partnerships (cloud, OEMs) — Azure/CoreWeave/Core providers are essential to scale.
- Management record & insider action — insider purchases are positive; serial dilution is a warning signal.
- Market size (TAM) and realistic adoption path (not vaporware).
Use these to separate growth stocks from outright speculative pump plays.
Risk and position sizing (brief, easy-to-understand rules)
- Don't invest more than 1–3% of a long-term portfolio in one small AI stock.
- For extremely small OTC/penny names, use position as a lottery ticket — anticipate extremely high volatility and potential illiquidity.
- Always review filings (10-Q, 10-K) and current news releases prior to purchasing. Most sites employ "AI" tags for marketing reasons — to authenticate actual product sales.
Also Read: Good Long-Term Stocks for 2025
link: https://techventurespot.com/best-long-term-stocks-for-2025
FAQs (brief)
Q — What's the top AI stock to invest in today?
A — For most investors, the key companies are Microsoft (MSFT), Alphabet (GOOGL), and Nvidia (NVDA) because they dominate GPUs, cloud computing, and model access. Smaller AI stocks under $10 are a possible moneymaker but far riskier.
Q — What are the top AI stocks under $10?
A — Key names to research: VERI, BBAI, REKR, LIDR, YRD, NOTE, LTRX, beforeXCF, CAN, MARK (refer to table above). All of them are founded on a specific theme of AI — read the documents and references prior to trading.
Q — What AI stock will perform well in 2025?
A — No promises. Large infrastructure/cloud brands will most likely dominate. Of the small caps, those will be those that turn product wins into repeatable revenue and/or get acquired — that's uncertain, but contract-rich companies (defense, enterprise SaaS) stand a better chance.
