3 AI Stocks to Consider Today — With a Bigger Focus on AIML
Artificial intelligence is now an investable ecosystem, not a single theme. Investors can get exposure through (1) applied AI in specific verticals, (2) compute infrastructure that enables AI workloads, and (3) platform monetization where AI improves products that already generate cash flow. Below are three names spanning those layers, with a slightly deeper focus on AI/ML Innovations (AIML).
SECTOR FOCUS
These companies sit in different parts of the AI value chain, which matters because catalysts, financial profiles, and risk differ sharply across “AI.” AIML is a micro-cap applied-AI healthcare name where upside is tied to execution, partnerships, and commercialization in a regulated market. NVIDIA is the dominant AI compute infrastructure supplier, where results are driven by hyperscaler and enterprise capex cycles and GPU demand. Alphabet is an AI platform monetizer, using AI to defend and expand established cash-flow engines in Search, Ads, and Cloud. The mix is designed to balance optionality (AIML) with durable fundamentals (NVDA/GOOGL).
1) AI/ML Innovations Inc. (CSE: AIML | OTCQB: AIMLF | FSE: 42FB)
What it is
AI/ML Innovations is a Canadian-listed AI company focused on applying machine learning to biometric and cardiovascular health data, with emphasis on ECG signal interpretation. The investment case is less about “general AI” and more about high-value pattern recognition in a data-rich, outcome-sensitive vertical.
Why investors watch it
Healthcare AI can be sticky if the product becomes embedded in workflows, devices, or platforms. AIML’s niche focus creates a cleaner path to differentiation than competing directly in broad consumer AI. For investors, the appeal is asymmetric optionality: a small base valuation can move materially if commercialization traction improves.
Investor snapshot (as of Feb 4, 2026)
- Share price (CSE): ~CA$0.0400
- 52-week range (CSE): ~CA$0.0300–CA$0.1200
- Issued & outstanding (CSE): 215,151,031 shares
- Approx. market cap (simple): ~CA$8.6M (CA$0.04 × 215.15M shares)
- FY ended Apr 30, 2025: Revenue ~CA$0.167M; net loss ~CA$4.59M
What could move the stock
Execution-driven catalysts matter most at this size: commercial agreements, product adoption milestones, meaningful recurring revenue visibility, and any credible validation pathway that improves investor confidence.
Key risks
- Micro-cap volatility and liquidity
- Funding and dilution risk if cash needs rise
- Slow adoption cycles in healthcare and reimbursement/regulatory complexity
2) NVIDIA Corporation (NASDAQ: NVDA)
What it is
NVIDIA is the backbone of AI compute. Its GPUs and software ecosystem are central to training and deploying AI models across cloud providers, enterprises, and developers.
Why investors watch it
NVIDIA is a direct beneficiary of AI infrastructure spending. Unlike many AI narratives that depend on future monetization, NVDA’s demand is tightly linked to real capex being deployed today.
Investor snapshot (as of Feb 4, 2026)
- Share price: ~$175.39
- Market cap: ~$4.27T
- 52-week range: ~$86.62–$212.19
- Revenue (TTM): ~$187.14B
- Net income (TTM): ~$99.20B
Key risks
- Valuation sensitivity if growth normalizes
- Export controls/geopolitics and customer concentration
- Cyclicality in capex and compute build-outs
3) Alphabet Inc. (NASDAQ: GOOGL)
What it is
Alphabet is a platform-level AI company with global distribution across Search, Ads, YouTube, and Google Cloud. Its AI exposure comes through product improvement + monetization rather than selling “AI” as a standalone story.
Why investors watch it
Alphabet has the scale and cash generation to fund heavy AI investment while still producing substantial earnings. For investors, it offers a more diversified AI profile than single-product companies.
Investor snapshot (as of Feb 4, 2026)
- Share price: ~$333.48
- Market cap: ~$4.02T (note: market cap varies by source/methodology)
- 52-week range: ~$140.53–$349.00
- Revenue (TTM): ~$385.48B
- Net income (TTM): ~$124.25B
Key risks
- Regulatory/antitrust pressure
- Higher AI capex intensity impacting near-term margins
- Competitive dynamics in search and cloud
QUICK COMPARISON
| Company | Ticker(s) | Layer of AI | Price (Feb 4, 2026) | Market Cap | 52-Week Range | Revenue (TTM) | Net Income (TTM) |
|---|---|---|---|---|---|---|---|
| AI/ML Innovations | AIML / AIMLF | Applied AI (Health) | ~CA$0.04 | ~CA$8.6M (simple) | CA$0.03–0.12 | ~CA$0.167M (FY25) | ~-CA$4.59M (FY25) |
| NVIDIA | NVDA | Infrastructure (Compute) | ~$175.39 | ~$4.27T | $86.62–$212.19 | ~$187.14B | ~$99.20B |
| Alphabet | GOOGL | Platform Monetizer | ~$333.48 | ~$4.02T | $140.53–$349.00 | ~$385.48B | ~$124.25B |
If you want AI upside with diversification, this trio is a clean way to cover multiple layers of the AI spend cycle: AIML for micro-cap optionality in healthcare AI, NVDA for the infrastructure backbone, and GOOGL for AI monetization at global scale. AIML carries the highest execution and dilution risk, but also the highest relative upside if adoption and commercial traction meaningfully improve.
Marc has been involved in the Stock Market Media Industry for the last +5 years. After obtaining a college degree in engineering in France, he moved to Canada, where he created Money,eh?, a personal finance website.
