Prediction: These 3 Under-the-Radar Artificial Intelligence (AI) Stocks Could Be Multibaggers by End of 2026

SoundHound is down nearly 70% from its highs but reported revenue doubled in the last year and Q4 revenue rose 59%, with adjusted gross margin up ~800 bps to 60.5% as it pursues a voice-powered agentic AI platform after acquiring Amelia. UiPath is >40% off highs, trading at ~3.6x forward P/S and ~15x forward P/E, with AI-product ARR up 25% for $100k+ customers and improved large-account and net-new ARR trends as it evolves into an AI orchestration platform. GitLab is down ~60%, trading at ~3.5x forward P/S (FY2027) and EV/sales <2.5x ex-cash, forecasting 15–17% revenue growth while rolling out a hybrid seat+consumption pricing and Duo Agent Platform that could drive consumption and make it an acquisition candidate; disclosures note author and Motley Fool positions in the mentioned names.

Analysis

Voice-first agentic AI raises a non-obvious infrastructure battle: whoever controls low-latency speech models and data pipelines (cloud + GPU + edge inference) will capture the economics of higher-margin conversation flows even if the UI layer is licensed broadly. That favors platforms with deep telemetry, billing and governance hooks — orchestration vendors and cloud providers — and creates a two-tier market where boutique voice stacks struggle to monetize beyond pilots.

UiPath’s orchestration angle is a structural winner if enterprises standardize on a single control plane for heterogeneous agents; the second-order payoff is higher stickiness and a shift of procurement from point-AI proofs to platform deals that include governance, audit logs and chargeback. That can convert modest ARR growth into defensible enterprise spending and expand gross margins as usage-based components scale.

GitLab’s hybrid seat+consumption approach materially changes revenue capture mechanics: consumption converts sticky product engagement into recurring optionality and reduces churn sensitivity to seat cuts. This also makes GitLab an attractive strategic bolt-on for large cloud or developer-tool consolidators who want immediate monetizable usage signals rather than pure seat counts.

Key risks are adoption friction (integration, compliance, union/labor responses), commoditization of speech tech by hyperscalers, and macro CAPEX softness delaying enterprise rollouts. Near-term catalysts to watch are multi-hundred-seat enterprise wins, visible ARR inflection in next 2-4 quarters, and any strategic M&A interest that would compress takeout timelines to 6-18 months.

Key Decisions for Investors

• Long PATH (directional, 12–18 months): Buy a LEAP call or a 12–18 month call spread sized 2–3% of book to capture orchestration re-rating. Target 2x–3x return if PATH shows sustained >20% YoY net-new ARR acceleration; cut to 50% position if ARR growth stalls for two consecutive quarters.
• Long GTLB (value/M&A tilt, 12–24 months): Accumulate shares on weakness with a 12–24 month horizon; target 50–100% upside on consumption inflection or takeover premium. Risk management: tranche in 25% increments and hard stop at -35% per tranche to limit downside if consumption adoption fails.
• Relative short SOUNW vs long PATH (6–12 months pair): Short SOUNW (small size, 0.5–1% of book) and use proceeds to finance a larger PATH long; thesis: voice stacks face hyperscaler commoditization and customer concentration risk while orchestration captures cross-vendor value. Close pair if SOUNW posts a large enterprise voice-agent contract or PATH reports >30% AI ARR growth acceleration.
• Directional NVDA exposure (infrastructure hedge, 6–12 months): Buy 6–12 month calls on NVDA or NVDA-heavy ETFs as a convex hedge to the upside in model deployment demand; expect GPU demand to be the primary multiplier for all three names. Take profits if NVDA outperforms by >40% in three months to rebalance exposure.