Citi lifts S&P 500 view to 8,100

Citi lifts – With second-quarter trading tightening its focus and first-quarter results already digested, Citi is turning its forecast for the S&P 500 higher—arguing AI spending is pushing earnings onto a path traditional models struggle to capture. The bank also spotlight

When investors finished filing away first-quarter earnings, the question quickly shifted from “what happened?” to “what comes next?” In Citi’s view, the answer is increasingly tied to artificial intelligence—and the market’s upward momentum may not be confined to a narrow slice of tech.

Citi analyst Scott Chronert says the S&P 500’s earnings trajectory is moving well beyond what the firm expected as AI spending ripples through industries. “The underlying earnings trajectory for the S&P 500 is moving down a path that is way beyond what we expected headed into this year. Q1 results have set the stage, which should drive further momentum for the remainder of this year and into next. We are increasing our index level earnings estimate to $350 for ’26 and initiating a $400 preliminary estimate for ’27. Predicated on fundamental drivers. our end of ’26 base case target is lifted to 8100 from the 7700 projection we established last December… With Q1 earnings behind us. it is clear that AI tailwinds are triggering a rather episodic event. Traditional macro models for projecting earnings seem increasingly misplaced as the AI inspired spending surge is manifesting across many sectors. ” Chronert wrote.

Based on those assumptions, Citi’s end-of-2026 base case target for the S&P 500 rises to 8,100, up from the 7,700 projection set last December. Chronert is also lifting the index level earnings estimate to $350 for 2026 and starting a preliminary $400 estimate for 2027.

Citi’s bullishness on the broader market is paired with a sharper focus on specific companies tied to AI infrastructure and deployment—two of which the bank’s analysts flagged as “Strong Buy” picks.

Cerebras Systems (CBRS) is first on Citi’s list. The company builds its Wafer Scale Engine to deliver what it positions as ultra-fast AI workloads. Citi’s write-up says the Wafer Scale Engine is 58 times larger than traditional GPUs. and that the company’s CS-3 system offers “cluster-scale power in a mini-fridge size.” Cerebras says that fast AI capabilities produced through CS systems—specifically CS-2 and CS-3—are used to build supercomputer units on-site. and that its mission is to make AI faster and more energy efficient. and more accessible around the world.

The argument for Cerebras’ momentum extends beyond its own product claims. The technology has also drawn support from OpenAI, which signed a multi-year agreement with Cerebras for large-scale AI inference capacity. The deal helped build a backlog of roughly $24.6 billion, according to the report.

Cerebras entered the public markets on May 14, selling 30 million shares at $185 apiece. Including the underwriters’ 4.5 million-share purchase option, the company raised roughly $6.38 billion in gross proceeds. Citi notes that the initial $185 pricing was significantly higher than the expected price range of $115 to $125 per share.

But the stock’s early trajectory has been rough. The article says CBRS closed at $311 on its first day of trading and is down 27% from that level. citing profit-taking after the explosive debut. concerns about a lofty valuation. and heightened scrutiny of whether the company can execute on a massive backlog—much of it tied to OpenAI.

Even so. Citi analyst Atif Malik argues investors should concentrate on Cerebras’ competitive positioning and its ability to deliver fast AI at scale. “We believe Cerebras has the first mover advantage and competes in the subset of inference stack where latency is a first-order constraint (fast-inference). a segment that is itself growing faster than inference broadly as reasoning models proliferate… Within the fast inference market TAM of $130B by 2030. we expect Cerebras leveraging its unique wafer scale technology and mostly serving Open AI. AWS. and others to be the market leader and achieve 40-50% of the market with likely Nvidia through its upcoming LPX products (via Groq acquisition) and Google via its recently announced TPUi platform right behind Cerebras. ” Malik said.

Malik backs the outlook with a Buy rating and a $340 price target, implying upside of 50% by this time next year.

The broader Wall Street consensus in the write-up is similarly upbeat. It says all 10 analyst reviews issued so far are positive, producing a unanimous Strong Buy consensus rating. With shares trading at $226.82, the average price target of $294 suggests potential gains of about 30% over the coming year.

Oracle (ORCL) is the second AI name Citi highlights.

Oracle is described as a long-established software company that has become a major player in AI infrastructure in recent years. The article emphasizes Oracle Cloud Infrastructure (OCI) as a provider of computing capacity for leading AI developers. offering services that include infrastructure. data management. and networking needed to build and deploy next-generation AI applications. It also notes that Oracle continues to operate across enterprise software. including industry-specific solutions in sectors such as automotive. banking. retail. healthcare. and utilities.

The report ties Oracle’s AI momentum to operating results. During fiscal Q3, Citi says AI infrastructure revenue rose 243% year-over-year. OCI revenue surged 84% to $4.9 billion. while total revenue reached $17.2 billion—up 22% from the year-ago quarter and $281 million ahead of Wall Street’s forecast. Cloud revenue, which includes infrastructure and software-as-a-service offerings, climbed 44% to $8.9 billion. On the bottom line, Oracle earned non-GAAP EPS of $1.79, beating consensus by $0.10 per share.

Visibility into future demand appears to be a major part of Oracle’s case. Citi points to Oracle’s remaining performance obligations. reporting RPO of $553 billion in fiscal 3Q26—an increase of 325% from the prior year. It also says management confidence has grown after the quarter, with Oracle raising its fiscal 2027 revenue target to $90 billion.

Timing is now the immediate focus. Oracle will report fiscal 4Q26 results today, June 10, after the market close. Analysts expect revenue of just over $19 billion and non-GAAP earnings of $1.96 per share.

Citi’s Tyler Radke is among those pressing the bullish view. In the write-up. Radke says. “We expect FQ4 to show strength in IaaS capacity additions. continued ‘responsible’ bookings and a greater focus on ROIC. We expect in-line but accelerating IaaS growth as our management touchpoints and readthroughs suggest no major timing issues…. While investor concerns linger on financing/execution of capacity buildouts. we believe ORCL remains on track to deliver one of the strongest revenue/EPS accelerations in tech as large AI contracts ramp.”.

Radke assigns a Buy rating and a $330 price target, implying one-year upside of 60%.

The broader consensus for Oracle is also strong in the report. Oracle currently holds a Strong Buy consensus rating based on 33 recent reviews that include 28 Buys and 5 Holds. The stock is priced at $205.81, and the $269.93 average target price indicates potential for a 31% gain in the coming months.

Cerebras and Oracle are arriving at investor attention at a time when Citi argues earnings growth is being shaped by AI investment rather than by older macro assumptions. For many traders. that shift can feel less like steady progress and more like bursts of expectation—precisely the “episodic event” Chronert describes—where results. guidance. and capacity buildouts can reprice entire outlooks quickly.

S&P 500 Citi Scott Chronert AI stocks Cerebras Systems CBRS Oracle ORCL OpenAI Wafer Scale Engine Strong Buy