1 Intriguing Artificial Intelligence (AI) Stock That Could Soar by Up to 91%, According to Wall Street

Upstart reported strong third-quarter results with $277 million in revenue (up 71% YoY), $31.8 million GAAP net income versus a $6.7 million loss a year earlier, and $71 million adjusted EBITDA (up 26% YoY); originations surged 128% YoY to 428,056 and 91% of applications were processed autonomously by its AI. Management noted a more conservative approval rate of 20.6% (down from 23.9% sequentially) which produced a modest revenue miss versus guidance, but analysts tracked by The Wall Street Journal carry an average $55.14 price target (implying ~32% upside) and a high target of $80 (91% upside); the company is expanding into auto and HELOC lending and cites a multi‑trillion-dollar total addressable market.

Analysis

Market structure: Upstart (UPST) is a direct beneficiary as banks, credit unions and fintechs outsource decisioning — expect Upstart to capture share from legacy scoring (FICO) over 3–5 years if its approval/IRR advantages persist. Winners: UPST, partner banks that securitize more efficient origination flows, cloud/ML vendors; losers: legacy score vendors (FICO) and manual underwriting desks. Faster automated approvals increase supply of consumer and auto loans into markets, likely raising ABS issuance by +10–30% over 12–24 months if originations sustain the current run-rate.

Risk assessment: Key tail risks are regulatory intervention (CFPB fair-lending audit or explainability mandate) and model regime shift in a sharp macro downturn that increases loss severities >200–300 bps versus current stress assumptions. Immediate (days) risks: earnings/approval-rate misses; short-term (weeks–months): funding/ABS demand volatility; long-term (years): sustained adoption or legal restriction. Hidden dependency: funding concentration via warehouse lines and securitization investors — a pullback could compress originations faster than credit performance indicates.

Trade implications: Direct: establish a modest long in UPST using instruments that limit downside (call spreads or 6–9 month LEAPS) to target a rerating to P/S ~8–11 if revenue growth stays >40% YoY; pair: long UPST vs. short FICO (ticker FICO) to express secular share shift. Options: buy 6–9 month UPST 1–2 call spreads (strike selection 20–40% OTM) or sell a backed put spread for yield if willing to own at a 30% discount. Rotate 3–6% of risk budget into fintech/ABS exposure and trim traditional bank credit exposure by 1–2%.

Contrarian angles: Consensus underestimates funding and regulatory friction — adoption may be non-linear: wins with mid-tier banks but slower uptake among large banks and international markets. Market may be underpricing credit-cycle sensitivity (UPST benefited in 2022–23, but a 2–3% unemployment shock could materially widen default curves). Historical parallels: credit scoring innovations often take 5–10 years to displace incumbents; downside would be amplified if auditors/regulators force transparent, slower models.

Key Decisions for Investors

• Establish a 2–3% portfolio long in UPST via a staggered approach: buy 50% in weeks 0–2 and 50% on a 10–15% pullback; hedge by buying 6–9 month protective puts at 25% OTM or use 9-month 20–40% OTM call spreads targeting $80 upside (per analyst high), stop-loss at -30% from average entry.
• Initiate a pair trade: long UPST (1.0x) / short FICO (ticker: FICO) (0.6–1.0x) sized to be delta-neutral to rates/markets; close or rebalance if UPST approval rate falls below 18% for two consecutive quarters or if FICO reports >10% revenue-at-risk from client losses.
• Deploy an options income play if neutral-to-bullish: sell UPST 6–9 month put spreads (sell 30% OTM, buy 40% OTM) to collect premium and set an effective purchase price ~30% below current levels; cap position size at 1–2% of portfolio.
• Reduce exposure by 1–2% to legacy credit data providers and increase ABS exposure to securitizations from AI-originators if yields exceed comparable BBB consumer ABS by 150–200 bps; only act after reviewing tranche-level vintage performance for 2 recent deals.
• Monitor regulatory catalysts over 30–90 days: CFPB guidance, two largest bank pilot results, and warehouse funding spreads; if any adverse regulatory action occurs, pare UPST exposure by 50% within 5 trading days.