OPENAI

OpenAI Price

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OPENAI
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*Data last updated: 2026-04-20 05:02 (UTC+8)

As of 2026-04-20 05:02, OpenAI (OPENAI) is priced at $0, with a total market cap of --, a P/E ratio of 0,00, and a dividend yield of %0,00. Today, the stock price fluctuated between $0 and $0. The current price is %0,00 above the day's low and %0,00 below the day's high, with a trading volume of --. Over the past 52 weeks, OPENAI has traded between $0 to $0, and the current price is %0,00 away from the 52-week high.

OPENAI Key Stats

P/E Ratio0,00
Dividend Yield (TTM)%0,00
Shares Outstanding0,00

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OpenAI (OPENAI) Latest News

2026-04-17 23:01

DeepSeek Seeks $300M at $10B Valuation as OpenAI, Anthropic Valuations Spark Market Debate

Gate News message, April 17 — According to The Information, DeepSeek is in talks to raise at least $300 million at a valuation of $10 billion, a fraction of leading U.S. AI companies: OpenAI commands $852 billion, while Anthropic is valued at up to $800 billion. The valuation gap has sparked investor debate over whether DeepSeek represents a bargain or if American AI firms are overpriced. DeepSeek's R1 model, launched in January 2025, trained for approximately $5.6 million—a fraction of the hundreds of millions typically spent by U.S. laboratories—triggered a market shock that erased nearly $1 trillion in U.S. equity value in a single day, with Nvidia losing close to $600 billion in market capitalization. Since then, performance rankings between U.S. and Chinese models have traded the top position multiple times; as of March 2026, Anthropic's leading model holds just a 2.7% performance advantage, according to Stanford University's 2026 AI Index. On the revenue front, OpenAI reported an annualized run rate of $25 billion in February, while Anthropic surged from $9 billion at end-2025 to $30 billion by March, driven primarily by Claude Code demand. In Q1 2026, just four deals—OpenAI, Anthropic, xAI, and Waymo—accounted for 63% of total capital raised globally. SpaceX-xAI is targeting an IPO valuation potentially exceeding $1.75 trillion, potentially the largest IPO in market history. Some investors have raised concerns about OpenAI's current valuation, with one backer telling the Financial Times that justifying the $852 billion price requires assuming an IPO valuation of $1.2 trillion or more. The extreme valuation gap between DeepSeek and American AI leaders is now raising questions about whether speculative appetite, rather than revenue-generating capability, is driving market prices.

2026-04-17 20:01

Cerebras Files for IPO as OpenAI Deal Expands to Over $20B

Gate News message, April 17 — Cerebras, an Nvidia-backed chipmaker, is set to file for an initial public offering (IPO) before market close on Friday, April 18, according to sources familiar with the matter. The company manufactures chips designed to run artificial intelligence models and has shifted its business model from selling hardware to operating its own chips in company-controlled data centers and offering computing power as a cloud service. Cerebrass' partnership with OpenAI has significantly expanded. In January, the company announced it would provide up to 750 megawatts of computing power to OpenAI through 2028 in a deal valued at over $10 billion. That arrangement has now expanded to more than $20 billion, with OpenAI also set to receive warrants to purchase Cerebras shares. OpenAI executive Sachin Katti stated the company uses Cerebras for "a dedicated low-latency inference solution" that enables "faster responses, more natural interactions, and a stronger foundation to scale real-time AI." Cerebras currently provides OpenAI with cloud-based compute for coding tools. The IPO filing comes as AI chip startups attract substantial investment. In February, Cerebras raised $1 billion in financing at a $23 billion valuation. Across 2026, MatX, Ayar Labs, and Etched each closed $500 million funding rounds, while European firms Axelera and Olix raised over $200 million each. Meanwhile, Intel stock hit its highest intraday level since the dot-com era at $69.55 on April 17, up 90% this year. The company agreed to a $14.2 billion buyback of an Ireland plant and partnered with Elon Musk's Terafab project for semiconductor development.

2026-04-17 09:21

OpenAI Updates Codex to AI Agent That Controls Desktop, Automating Development Workflows

Gate News message, April 17 — OpenAI has upgraded Codex, transforming it from a coding assistant tool into an agent-based service that runs directly on users' computers and can control applications autonomously. The new version operates in the background, capable of opening and manipulating apps, automating code writing, modification, testing, and review processes. The updated Codex supports task continuity, allowing it to resume interrupted work and handle long-term development projects consistently. It can review GitHub feedback, manage remote environments, and operate through a UI-based interface where developers can view changes on an in-app browser and direct modifications. The tool also integrates with over 100 applications including Slack, Gmail, and Notion, enabling it to handle workflows beyond development, such as task organization and follow-up suggestions. The upgrade represents a strategic shift from a terminal-based coding tool to an AI that manages entire desktop environments. OpenAI is also providing a separate agent SDK and integrating the technology into enterprise workflows. Competitor Anthropic has released similar capabilities through Claude and Coworker, automating computer control while users are away. Industry analysts note that AI coding tool competition is rapidly moving from simple code generation to comprehensive workflow automation agents.

2026-04-17 08:12

Shinsegae Group Abandons OpenAI Collaboration for Reflection AI Partnership, Shifts Retail Strategy

Gate News message, April 17 — Shinsegae Group has suspended its collaboration with OpenAI just 11 days after announcing a strategic partnership on April 6, pivoting instead to an expanded partnership with U.S. AI company Reflection AI. The South Korean retail conglomerate announced on April 17 that it will accelerate projects applying AI across retail operations including product sourcing, inventory management, and customer management, following a memorandum of understanding signed with Reflection AI in March for building and jointly operating an AI data center. The group cited "selective focus" as the reason for ending the OpenAI collaboration. The original plan involved separate infrastructure cooperation with Reflection AI and software cooperation with OpenAI; the company has now decided to consolidate these efforts under a single partner to prioritize AI-driven retail innovation and accelerate execution speed. Market analysts suggest the decision also reflects concerns about the limited differentiation of ChatGPT-based shopping functionality and the effectiveness of the AI commerce model, as embedding apps within ChatGPT mirrors existing service capabilities already offered by many companies. The shift aligns with challenges facing AI commerce globally. Walmart, which partnered with OpenAI to test shopping features within ChatGPT, discontinued the service in March due to low conversion rates. According to Wired, direct purchases within ChatGPT achieved only about one-third the conversion rate of customers directed to Walmart's website. Additionally, concerns arose over inaccurate or outdated information regarding inventory status, shipping timelines, and delivery costs, with research firm Forrester noting that OpenAI faces difficulty obtaining sufficient product data exposure from retail partners' websites.

2026-04-17 06:51

OpenAI Agrees to Pay Over $20 Billion for Cerebras Chips Over Three Years, Receives Equity Stake

Gate News message, April 17 — OpenAI has reached an agreement with Cerebras to purchase over $20 billion worth of the company's AI chips over the next three years, according to reports. As part of the deal, OpenAI will receive an equity stake in Cerebras. The partnership is expected to help OpenAI reduce its computational costs as it scales its AI infrastructure and services.

Hot Posts About OpenAI (OPENAI)

PuzzledScholar

PuzzledScholar

12 minutes ago
So I've been looking at what might be the best way to invest $1000 right now, and honestly, there are some interesting opportunities if you're willing to look beyond the usual suspects everyone's talking about. Most people are chasing the same hot stocks, but that's not always where the real value sits. Let me walk you through three names that caught my attention for different reasons. First up is Fluor. Here's the thing - infrastructure projects have been stuck in neutral for years, but we're finally seeing the money from that 2021 infrastructure bill actually getting deployed. The Department of Transportation had only spent about 40% of their allocation by mid-2024, and a huge chunk wasn't even committed yet. That's actually bullish for construction companies. Fluor's sitting on a $28.2 billion backlog after pulling in $3.3 billion in new contracts recently. That's serious dry powder waiting to convert into revenue. It's not going to be a moonshot, but the setup for the next couple years looks solid. Then there's AMD. Everyone's fixated on Nvidia dominating AI, and sure, they've got the stronger position. But AMD actually has the pieces to compete here - they make graphics processors too, and they're already supplying Oracle, OpenAI, and other major players. Their CEO's talking about 35%+ annual growth for the next few years. The analyst commentary is interesting too - the thesis is basically that AI spending is durable and AMD has already proven itself as a legitimate winner in this space. You probably don't need them to dethrone Nvidia to make money here. Now, Circle Internet Group is the wild card. Tiny market cap relative to what it could become. Most people haven't heard of it, but what they do is actually pretty important - they're solving the friction problem in crypto payments. Their USDC stablecoin had nearly $74 billion in circulation as of Q3 2024, up over 100% year-over-year. Revenue jumped 66% to $740 million. The stock got hammered along with Bitcoin, but a lot of that was just post-IPO volatility and crypto market noise, not fundamental business deterioration. If you're thinking about the best way to invest $1000 across different time horizons, these three offer different risk-reward profiles. Fluor's the steady play on infrastructure normalization, AMD's your bet on AI competition staying robust, and Circle's the longer-term optionality play on digital payments infrastructure. None of these are guaranteed winners obviously, but they're definitely off the beaten path compared to what everyone else is crowding into right now.
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ServantOfSatoshi

ServantOfSatoshi

29 minutes ago
Just been scrolling through some earnings reports and market moves, and I gotta say the narrative around best ai stocks keeps getting more interesting. March was rough for a lot of these names, but that pullback honestly looked like a gift for anyone paying attention to the fundamentals. Here's what's actually happening beneath all the noise. The two things that really matter—earnings and interest rates—are both supporting the tech sector right now. We got Nvidia's Q4 results confirming what most of us already suspected: the AI spending spree isn't slowing down, it's accelerating. Taiwan Semi raised its 2026 capex guidance to somewhere between 52 and 56 billion. That's massive compared to the 40.9 billion they spent in 2025. And the hyperscalers? They're projected to drop roughly 530 billion in capex this year versus around 400 billion last year. These numbers tell you everything you need to know about where the real money is flowing. What's wild is that analyst estimates for Q1 2026 tech earnings have jumped to 24% growth from just 12% back in October. The whole market is waking up to the fact that this AI cycle is for real, and it's spreading across nearly every sector of the economy. That's the kind of environment where best ai stocks should be on every investor's radar. Let me break down two names that caught my attention during the recent weakness. ServiceNow got absolutely hammered, down nearly 50% from its January highs. That's a stock that actually gets AI integration right though. They're not just talking about it—they're building it into their platform with partnerships like the deepened deal with OpenAI announced back in January. The company posted four straight years of 21 to 24% sales growth, hitting 13.28 billion in 2025. They've got 244 transactions over a million in net new ACV in Q4 alone, up 40% year-over-year. Their earnings per share grew 22% to 1.67. The CEO was literally buying shares recently, saying there was no better entry point. That kind of insider confidence matters. If ServiceNow just returns to its January levels, you're looking at roughly 100% upside from where it traded during the March dip. Then there's Celestica, which is basically the pick-and-shovel play for the entire AI infrastructure build-out. This company designs and manufactures the actual hardware that powers data centers—servers, switches, the whole stack. Revenue jumped 29% in 2025 to 12.39 billion, and they more than doubled their top line between 2021 and 2025. Their adjusted earnings grew 56% last year. Management guided for continued strength in 2026, expecting revenue to hit around 23.66 billion, which would nearly double 2025 levels. They're investing a billion dollars in capital expenditure this year because they see the demand for AI infrastructure continuing to strengthen. Celestica pulled back about 25% from its November highs, and that's when you want to look at these best ai stocks that have actual growth backing them up. The thing about buying into weakness when the fundamentals are this strong is that it's a playbook that's worked forever. Wall Street's shrugged off geopolitical concerns before, and they will again. What matters is that earnings are accelerating and the interest rate backdrop is supportive. If you're thinking long-term, March's dip and the April consolidation look like reasonable entry points for quality AI-exposed names with real revenue growth and improving margins.
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TheMemefather

TheMemefather

1 hours ago
Just caught up on some interesting developments in the AI infrastructure space, and honestly the opportunity here is pretty substantial if you're looking to diversify beyond crypto. So here's what's happening: global AI spending is projected to hit $1.48 trillion in 2025, with infrastructure spending alone reaching $758 billion by 2029. That's massive capital deployment. What's driving this? Generative AI, agentic AI, and multimodal learning are moving from hype to actual enterprise deployment across healthcare, finance, robotics, and cybersecurity. The hardware race is real. The ai leading companies pushing this forward are the ones building the infrastructure layer. NVIDIA is obviously the main beneficiary here - their GPUs power the whole thing. The Blackwell and upcoming Vera Rubin platforms are strengthening their dominance as the AI chip race intensifies. Their partnership with OpenAI for massive data center construction is a big signal about long-term demand. They're also expanding beyond cloud providers into enterprise AI and autonomous vehicles, working with 320+ automakers. Micron is another play worth watching. They're riding the HBM and DRAM pricing recovery hard. AI servers need cutting-edge memory solutions, and as companies build out GPU clusters and data centers, Micron's positioned as a key beneficiary. Their LPCAMM2 memory for AI-ready laptops is also interesting for the broader AI PC trend. Then you've got the ai leading companies on the software/platform side. Microsoft, Alphabet, and Meta are all racing to integrate AI into their core businesses. Microsoft's backing OpenAI, Alphabet introduced Gemini 3 Pro and is infusing AI into search to drive user engagement, Meta's doing the same across its platforms. These moves are driving ad revenue growth. Analog Devices is a more interesting play - benefiting from automation, AI infrastructure, and automotive electrification. Their signal chain and power content is seeing strong demand from AI-driven test equipment. The broader point: we're in the early stages of AI infrastructure buildout. The spending is real, the deployments are accelerating, and the ai leading companies in this space have significant runway ahead. Whether you're looking at semiconductor plays or the platform companies, there's real capital allocation happening here. Worth keeping on your radar if you're thinking about portfolio diversification.
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