OPENAI

OpenAI Price

OPENAI
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*Data last updated: 2026-04-20 10:16 (UTC+8)

As of 2026-04-20 10:16, 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

2026-04-20 10:01

Dropbox Expands ChatGPT Integration with Three New Workplace Apps

Gate News message, April 20 — Dropbox has expanded its partnership with OpenAI by launching three new apps within ChatGPT, enabling users to access files, search workplace content, and manage calendars in a single chat interface. The new apps include Dropbox for file preview, saving, and share links; Dropbox Dash for pulling information from connected work applications; and Reclaim AI for scheduling in Google Calendar and Microsoft Outlook. The expansion reflects Dropbox's broader effort to position its storage, search, and calendar tools as an intelligence layer within AI assistants. The move comes as Dropbox faces headwinds in its core business, with paying customers declining sequentially to 18.07 million and revenue slipping slightly year-over-year. By integrating into ChatGPT, Dropbox aims to reposition itself from a file-syncing tool into a neutral intelligence platform that connects a person's work applications, addressing the fragmentation of information across tools like Google Docs and Slack. The partnership also reflects a broader competition over AI's "last mile"—linking powerful AI models to private user and company data. As software companies increasingly recognize that standalone applications may become data sources for competitors' AI systems, the focus is shifting toward cross-platform integrations and AI knowledge hubs that can securely search across multiple platforms.

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.

Hot Posts About OpenAI (OPENAI)

CryptoCity

CryptoCity

43 minutes ago
![](https://img-cdn.gateio.im/social/moments-17f75e3a6b-2fbe429228-8b7abd-badf29) Former OpenAI researcher Leopold Aschenbrenner doubled $225 million to $5.5 billion through his fund. He said the bottleneck in AI development lies in electricity, not chips or models. Former OpenAI security researcher, and German man, only 24 years old, Leopold Aschenbrenner, turned $225 million from the fund he managed, Situational Awareness, into $5.5 billion in less than a year. While Wall Street money poured into AI models and chipmakers, he spotted a blind spot the market overlooked: electricity. By making precise bets on the infrastructure needed to address AI’s high power consumption, he achieved astonishing investment returns. After leaving OpenAI, he pivoted into the AI investment market ----------------------- After leaving OpenAI, Aschenbrenner wrote a 165-page report, asserting that general artificial intelligence (AGI) will arrive sooner than everyone thinks, and that the final winners will not be companies with the strongest AI models, but companies that “control electricity.” To this end, he set up a hedge fund called “Situational Awareness LP” and poured $875 million into buying fuel cell company Bloom Energy. This week, Bloom Energy announced that it has signed a major fuel cell deal with Oracle for 2.8 gigawatts (GW), sending the stock soaring 15% after hours, and the book value of Aschenbrenner’s stake instantly surged to nearly $2 billion. Portfolio fully revealed: Long on infrastructure, short on traditional IT industries ------------------------- Reports indicate that his investments followed the “electricity first” logic: * Bloom Energy (BE): Invested $875 million to buy this fuel cell company. The technology enables data centers to generate power on-site directly, without relying on outdated power grids. Benefiting from the 2.8 GW order signed with Oracle, the stock surged, and the book value of his holdings has already climbed to nearly $2 billion. * CoreWeave (CRWV): Invested $700 million in this leading AI cloud computing infrastructure provider, locking in scarce infrastructure resources. * Infosys (INFY): He heavily shorted this major Indian IT outsourcing player, expecting AI coding agents to completely destroy traditional IT outsourcing business. * Intel (INTC): Used leverage operations through Intel call options, earning several multiples of returns during the 53% rebound in the stock price. * Core Scientific (CORZ): Holds 10% equity. This former Bitcoin mining company is transforming its existing power facilities into AI data center colocation sites. The power-hungry monster behind computing power: Electricity usage doubles year after year ----------------- Aschenbrenner said that looking back to 2022, the computing cluster that trained GPT-4 consumed about 10 megawatts (MW) of electricity, at a cost of about $500 million. However, AI compute demand is expanding at a pace of about half a quantity order each year, meaning that the electricity needs of the largest training clusters will double every 12 to 18 months. By 2024, the power consumption of the largest computing clusters has reached 100 MW, equivalent to 100,000 high-end graphics processing units (GPUs) running simultaneously. Now, in 2026, the leading training clusters require as much as 1 GW of continuous power, which is equivalent to the electricity generation output of a large nuclear power reactor. Whoever controls power controls the future of AI --------------- He estimates that by 2028, the electricity consumed by AI training will skyrocket to 10 GW—larger than the electricity generation of many U.S. states as a whole; by 2030 it will reach 100 GW, consuming as much as 20% of the United States’ current total electricity generation overnight. This is only the electricity for “training” models; if you add the “inference” compute power actually used by the public, the electricity consumption becomes even more difficult to imagine. However, over the past decade, the total electricity generation in the U.S. has only grown slightly by 5%. Now reports from everywhere about a severe shortage of transformers and data centers that can’t be built are proof that the power grid can’t support it. This is also why he dares to make a heavy bet on Bloom Energy: the real bottleneck in AI development is not chips or software, but whether humans can produce enough electricity. * This article is reprinted with authorization from: 《Chain News》 * Original title: 《24-year-old fund manager’s annual return is 24x! AI portfolio targets the “most scarce resource”》 * Original author: Co2
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俊俊8965

俊俊8965

1 hours ago
#WLD Detailed Analysis — April 2026: An In-Depth Exploration of the Most Critical Proof-of-Identity Project in the AI Era As a professional trader, I prepared this report based on verified latest market data, tokenomics, historical event responses, and fundamental dynamics. All figures reflect the situation around April 19–20, 2026. 1. Project Overview and Its Service Content World ( formerly known as Worldcoin) is a global “Real Human Network” developed by Tools for Humanity, co-founded by OpenAI CEO Sam Altman and his team. Its core mission is to distinguish humans from robots and AI agents in an internet that is increasingly dominated by artificial intelligence — namely, proving human identity (PoP). This helps prevent Sybil attacks, deepfakes, bot farms, and fake identities, making the digital economy more trustworthy and fair. The project is built on three fundamental pillars: World ID: A privacy-preserving anonymous “Real Human” verification system based on zero-knowledge proofs. It does not store any personal data; it only generates proof that “this is a unique human.” Orb: An open-source, multispectral iris scanning device. It scans users in person to create World ID. This hardware is the core of the project. World App + WLD token: Users manage their World ID, store and transfer cryptocurrencies, and claim free WLD through the World App. WLD is both a practical utility token for payments and Mini Apps within the network(, and a future governance token. World provides universal identity and financial infrastructure for the AI era. It is expanding into real-world applications such as deepfake detection in Zoom meetings, human verification in DocuSign, and profile verification extension in Tinder) in the United States. Its long-term vision is to build a “people-centric” internet economy, especially suitable for Sybil protection in universal basic income distribution and DAOs. 2. Token Economics and Supply Dynamics (Key Information) Total supply: 10 billion WLD ( fixed for 15 years; after that, governance votes may enable a maximum annual inflation of 1.5%). Circulating supply: Approximately 3.28 billion (, about 32.8%) as of April 2026. Distribution: 75% to the community( user subsidies), and 25% to the team, investors, and reserves. Important note: Starting from July 2026, the daily token release rate will decrease by 43%. This is expected to significantly reduce historical selling pressure and become a positive catalyst. Fully diluted valuation (FDV) is approximately $2.6 billion, while the current market cap is about 19283746565748392 billion to 8.7 billion USD. Supply pressure from unlocks has historically been one of the main drivers of price declines. 3. Historical Price Performance and Responses to Major Events WLD reached its all-time high of about $11.74–11.82 in March 2024, followed by a sharp drop. The current price is about 97.7–97.8% lower than the peak. Major drivers of price increases and decreases and event responses: 2024 rise: A hype wave combined with the Sam Altman effect and broader AI prosperity, pushing the price above $11. Support came from user growth (millions of Orb verifications) and exchange listings. 2024–2025 decline: Massive token unlocks led to significant supply pressure, along with privacy regulatory concerns (temporary restrictions in some countries) and the overall crypto bear market. By the end of 2025, the price fell below and stabilized around $0.57–0.63. April 2026 — World 4.0 release: On April 17, 2026, major integrations were announced with Zoom (“Deep Face” deepfake detection), DocuSign (human verification for digital signatures), and Tinder (US profile verification extension). This is a typical “good news already fully priced in” event — although the entire crypto market rose by 2.2%, the price still fell by about 13.4% to around $0.28. Short-term low point: Recorded around $0.239–0.2405 on April 5, 2026. The current price shows early signs of a rebound, but trading volume remains relatively weak. Overall pattern: Major positive news (partnerships, user growth) often triggers short-term selling because the market believes it has already been reflected in the price. In the long run, truly application-driven integrations (revenue-driven integrations) and reduced unlocks could become strong catalysts for upside. 4. Current Market Conditions (As of April 20, 2026) Price: About $0.260–0.263 (, down approximately 2–2.3%) over the past 24 hours. Market cap: About 19283746565748392 billion (, ranking approximately 79). 24-hour trading volume: 19283746565748392 billion USD $1 , with ample liquidity(. Support/Resistance levels: Short-term support is in the $0.24–0.26 range, while resistance is at $0.35–0.60. After breaking above $0.60, the target may point to $0.85–1.40; technically, this marks a breakout of the 2025–2026 consolidation range. This token is highly correlated with the development of the AI industry (Sam Altman factor)), but it still remains sensitive to the unlock schedule. 5. Trader Assessment: Opportunity or Risk? Advantages: - The purest target in the AI narrative — the robot problem is becoming increasingly severe. - The real-world application (World 4.0) is continuously increasing revenue potential. - The user base has achieved millions of verifications across more than 30 countries and six continents. - Reduced unlocks and a community-heavy positioning create long-term deflationary effects. Risks: - Ongoing regulatory and privacy controversies (iris biometric recognition remains a sensitive topic(). - High FDV and an ever-growing circulating supply bring continuous pressure. - High short-term volatility; the “good news already exhausted” pattern still persists. Technical outlook: Currently consolidating in a pullback range, RSI is neutral, and increased trading volume may support a breakout to $0.32–0.39. In a macro bull market, WLD’s beta among AI-themed altcoins is relatively high. My trading view: The project has huge breakthrough potential as “AI-era infrastructure” between 2027 and 2030. In the short term (3–6 months), the $0.40–0.60 range is reasonable. In the long term (2027 and beyond), prices may only break through when applications and revenue have been fully validated. Suitable for investors with high risk tolerance and patience. Risk management recommendation: set a stop-loss below $0.23, with the first target at $0.60. Disclaimer: This analysis is for educational and informational purposes only and does not constitute investment advice. Please do your own research (DYOR), fully understand the risks, and remember that the crypto market is extremely volatile.)
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