Prediction: This Could Be an Unexpected AI Winner Through 2030

Prediction: This Could Be an Unexpected AI Winner Through 2030

Vandita Jadeja

Fri, September 11, 2026 at 7:30 PM GMT+3 5 min read

Quick Read

• Oracle booked $30B in new AI contracts last quarter and runs GPU utilization at 97.9%, underpinning a BUY rating and $229 price target with 50% upside.

• Oracle's forward P/E of 20 undercuts Microsoft's 27 and Amazon's 35, despite IaaS growing 121%, which is faster than Azure's 43% or AWS's 37%.

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Oracle (NYSE:ORCL) just delivered one of the most consequential AI cloud quarters on record, and I think the market is still digesting what it means. Our 24/7 Wall St. price target for Oracle is $229.25, implying 49.67% upside from the current $153.17 share price.

Our recommendation is buy, and the model's confidence is 90%. Oracle looks like an unexpected AI winner because the RPO backlog and OCI utilization data now support a step-change in earnings power through 2030.

24/7 Wall St. Price Target Summary

A Blowout Quarter Buried Under a Selloff

Oracle is down 20.77% year to date and 52.89% over the past year, sitting far below its $325.79 52-week high. Yet the fundamentals accelerated.

In Q1 FY2027, revenue rose 29.61% to $19.34 billion, adjusted EPS came in at $1.92, and cloud infrastructure revenue exploded 121%. Remaining performance obligations reached $664 billion, and Oracle booked more than $30 billion in new AI contracts in a single quarter. Management raised FY2027 revenue guidance to at least $90 billion and reiterated a $8.10 non-GAAP EPS target.

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Why Bulls See a Breakout Ahead

The bull case rests on RPO conversion. Management now expects roughly half of RPO to convert to revenue over the next 36 months, GPU utilization is running at 97.9%, and renewals are pricing at a 20% premium.

Multicloud database revenue grew 353% year over year, and OCI now interconnects with every major hyperscaler. Analyst distribution skews heavily positive with 8 strong buys and 28 buys, versus just 1 sell. In our bull scenario, ORCL reaches $334.89 within 12 months, a 118.64% return.

What Could Go Wrong

Free cash flow was negative $5.4 billion in Q1, following negative $23.7 billion for FY2026, with FY2027 CapEx guided to $90 to $95 billion. Bulls would counter that CFO Hilary Maxson said each project is "by nature a strong free cash flow generating project" once it ramps, targeting 100% conversion to post-tax EBITDA.

Software license revenue is also shrinking 15% as customers migrate, and concentration in a handful of hyperscale AI contracts is real. Our bear scenario still lands at $191.39, roughly 24.95% above today.

How Oracle Compares to Microsoft and Amazon

Microsoft (NASDAQ:MSFT) is the cleanest cloud comp, with Azure surpassing $100 billion in full-year revenue and commercial RPO of $678 billion, remarkably close to Oracle's $664 billion backlog on a fraction of Oracle's revenue base. Microsoft trades at a P/E of 27, effectively identical to Oracle's 28, yet Oracle's cloud is growing far faster.

Amazon (NASDAQ:AMZN) is the AWS benchmark, growing 37% in Q2 with plans for roughly $200 billion in 2026 CapEx. Amazon trades at a P/E of 35. Against both, Oracle's forward P/E of 20 makes our 24/7 Wall St. price target look conservative.

Oracle Price Prediction 2026-2030

The 24/7 Wall St. price target of $229.25 with a buy rating and 90% confidence reflects a business whose RPO now dwarfs its trailing revenue. The tipping factor is GPU utilization at 97.9% with renewal pricing running 20% higher.

The setup favors investors who can tolerate near-term free cash flow volatility while the CapEx cycle plays out. The thesis weakens if the $664 billion backlog converts far more slowly than management guides.

These projections assume Oracle continues converting its RPO backlog on schedule and holds datacenter execution timelines.

Significant upside or downside could come from GPU supply constraints, hyperscaler competition, or how quickly free cash flow inflects positive after the current investment cycle. Oracle is one face of the AI buildout, and we profiled seven other suppliers powering data centers, from power to cooling, in a free report you can grab here.

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