I Recently Bought an Artificial Intelligence (AI) Stock That I Predict Will Double by the End of 2026

Upstart reported record Q1 revenue of $308 million, up 44% year over year, while originating 425,356 loans, up 77%, with 91% of funded loans fully automated by AI. Management is guiding to $1.4 billion in 2026 revenue and sees 35% annual growth through 2028, implying more than $2.5 billion in revenue that year. The article argues the stock is undervalued at 2.6x trailing sales versus a 5.7x three-year average and could double by year-end.

Analysis

The market is still pricing UPST like a cyclical lender proxy, but the more interesting exposure is to software-like operating leverage if automated decisioning continues to displace manual underwriting. That matters because incremental volume should carry disproportionately high contribution margins once partner funding stays available; the key swing factor is not model quality alone, but whether capital providers keep scaling alongside the platform through a credit-normalized environment. If that funding flywheel holds, the next leg of upside is less about loan count and more about take-rate expansion and mix shift into higher-value products.

The second-order winner could be FICO’s competitive moat erosion, but not in a straight-line way: FICO likely remains embedded in many legacy workflows, yet UPST’s faster approval loop creates a customer experience wedge that can pressure front-end origination economics before it fully displaces incumbent scoring. The real test is whether better conversion and lower abandonment rates offset any credit-cycle sensitivity; in a benign tape, UPST can look like a penetration story, but in a risk-off tape the same model can be punished as an underwriting beta trade.

Consensus appears to be underestimating how much of the re-rating is already tied to 2026 execution, not 2028 aspirations. The stock can gap higher on continued originations, but the cleaner risk/reward is if management proves that automation rates and partner breadth can sustain EBITDA conversion while losses remain contained. The hidden downside is that any funding-partner retrenchment would compress growth faster than model performance would visibly deteriorate, making liquidity availability the key leading indicator rather than reported credit outcomes.

Near term, this is a momentum trade; over 6-12 months, it becomes a proof-of-durability trade. If macro conditions weaken and unsecured consumer credit tightens, the market will likely reprice the multiple first and ask questions later, even if originations still grow. That asymmetry argues for owning the upside with defined-risk structures rather than chasing common outright after a strong move.

Key Decisions for Investors

• Long UPST common on a 3-6 month horizon, but size modestly: upside is a multiple expansion story if partner funding remains open; downside is a sudden de-rating if consumer credit or capital supply turns.
• Buy UPST Jan-2027 calls or call spreads to express the 12-18 month automation thesis while capping downside; best risk/reward if implied volatility remains below realized trend.
• Pair trade: long UPST / short FICO for a 6-12 month horizon to express underwriting-disintermediation risk; the trade works best if origination growth continues and legacy scoring share gradually compresses.
• Use a tactical entry only on pullbacks of 10-15% in UPST; chase risk is high because the current setup is more sentiment-driven than fundamentals-driven in the very near term.
• If partner-funding commentary weakens, cut the trade quickly: that is the highest-leverage risk and would likely hit the stock before any deterioration shows up in reported credit metrics.