AI News Oct 23, 2026: OpenAI's $1.25T Valuation, Deepfake Warnings

The AI news roundup on October 23, 2026, highlights massive capital inflows into foundational model infrastructure as OpenAI targets a $1.25 trillion valuation and DeepSeek raises $15 billion. Alongside the widespread operational adoption of AI agents—such as Uber deploying them across 30,000 employees and Canva launching an image generation model capable of design planning—business leaders in Vietnam must pay close attention to cybersecurity warnings regarding deepfakes and automated AI attacks.

OpenAI Eyes $30B Raise at $1.25T Valuation; DeepSeek Raises $15B#

OpenAI is pursuing a new $30 billion funding round at a valuation of up to $1.25 trillion ahead of its IPO. If successful at this trillion-dollar-plus valuation, OpenAI would shatter records to become the most valuable private company in history. Simultaneously, despite the US recently ordering federal agencies to remove DeepSeek's technology due to national security concerns, the company has reportedly raised $15 billion in one of China's largest funding rounds to date.

Why it matters: The sheer volume of capital demonstrates that the foundational AI race is accelerating aggressively and polarizing sharply. Product companies must prepare a multi-model strategy to avoid single-vendor lock-in amid ongoing geopolitical shifts. Source: TechCrunch (OpenAI), TechCrunch (DeepSeek).

Biometric Authentication at Multiple Banks Bypassed by Deepfakes#

According to information from the Deputy Director of Vietnam's A05 (Department of Cyber Security and High-Tech Crime Prevention), money was siphoned at high velocity in several recent attacks as biometric verification systems across multiple banks were bypassed by deepfake images and videos. Internationally, Microsoft also reported that a China-linked hacker group breached tech giant ConnectWise and leveraged AI agents to rapidly infiltrate and spy on thousands of its downstream customer networks.

Why it matters: For O2O retail and digital payment businesses, relying solely on single-layer visual verification or legacy security workflows is no longer sufficient against automated AI agent attacks and deepfakes. Source: VnExpress, TechCrunch.

Uber Deploys ChatGPT Work to All 30,000 Employees#

Following small-scale pilots, Uber has decided to roll out the ChatGPT Work enterprise agent to all 30,000 of its corporate employees. This move marks a definitive transition from localized experimentation to full-scale AI agent integration across a major tech enterprise.

Why it matters: This serves as a tangible signal that enterprise AI agent tools have matured beyond the pilot phase into standardized, daily workforce productivity drivers. Source: TechCrunch.

OpenAI Expands Decisions API as the Decision Model Race Heats Up#

OpenAI has officially made its decision model widely available via the Decisions API to compete directly with rival Jev. A decision model is a specialized AI model purpose-built to deliver fast, highly focused, low-cost decisions for software applications.

Why it matters: For product engineering teams, utilizing specialized low-cost APIs for discrete decision-making substantially optimizes latency and unit economics compared to invoking bloated LLMs for every single task. Source: TechCrunch, OpenAI News.

Canva Launches In-House Image Model Capable of Design Planning#

Canva has released its first in-house AI image generation model, Canva Craft, to all users to compete directly with OpenAI, Microsoft, and Google. The differentiator in Canva Craft is its two-stage architecture, which enables the model to map out a design plan before rendering the image—delivering greater precision, visual consistency, and customizability at a lower cost.

Why it matters: SMEs and marketing teams can now generate brand-consistent, controllable visual assets directly within their existing design platform without incurring steep production overhead. Source: The Verge, TechCrunch.

AI Agent Ecosystem Expands: From 1Password Security to Spotify and Anthropic Strategies#

1Password launched a new feature allowing AI agents to log into user accounts on their behalf without ever seeing the password, safeguarding private credentials. Concurrently, Anthropic is testing its Claude Duet agent app (via a waitlist for Pro and Max subscribers), while Spotify co-CEO Gustav Söderström revealed that their biggest current bet is positioning Spotify as the default music service preferred by AI agents.

Why it matters: As users increasingly delegate everyday workflows to AI agents, digital service providers must design not only for human end-users but also optimize protocols, integrations, and authentication specifically to serve autonomous AI agents. Source: TechCrunch (1Password), TechCrunch (Anthropic), TechCrunch (Spotify).

The Next Enterprise AI Moat: Serving Infrastructure and the Hidden Storage Bill#

According to recent analyses from MIT Technology Review, the next competitive advantage in enterprise AI no longer hinges on who uses the more powerful model, but on the AI serving harness and context-aware capabilities engineered around it. Furthermore, executives often fixate exclusively on GPU computing costs while overlooking the massive hidden data storage bills generated by billions of prompts, images, and videos produced post-inference.

Why it matters: Founders and CTOs need to factor post-inference data storage costs into their product unit economics, while prioritizing the grounding of AI in internal operational workflows rather than simply chasing raw foundational model benchmarks. Source: MIT Technology Review (Serving Harness), MIT Technology Review (Storage Bill).

Strategic Takeaways for Businesses#

Drawing from these technology shifts and market developments over the past 24 hours, here are actionable priorities for business leaders and product builders in Vietnam:

• Audit verification flows and transaction security: With deepfakes defeating biometric barriers and attackers leveraging autonomous AI agents, enterprises (particularly across retail, O2O, and fintech) must enforce multi-layered capital controls and deploy secure identity management solutions (such as 1Password's zero-knowledge login model or digital membership identity passes via Apple/Google Wallet pioneered by GoMetap) instead of placing blind trust in standalone visual verification.
• Decouple tasks to optimize API spend: When architecting AI capabilities into products, delineate complex reasoning tasks from low-latency, single-purpose logic. Leverage specialized solutions like OpenAI's Decisions API to slash operational compute overhead and boost user response times.
• Factor storage into AI unit economics: Do not stop at token billing or GPU rental figures; technical teams must implement retention policies and lifecycle management for post-inference artifacts (logs, images, conversational context) from day one to avoid compounding storage bills as user traffic scales.
• Invest in enterprise context over model hype: Reinforcing MIT Technology Review's insights, true competitive differentiation lies in tightly coupling AI with your company's proprietary sales, inventory, and behavioral telemetry. A lean, domain-aware model grounded in internal operations will reliably outperform an ungrounded state-of-the-art LLM.