SoftBank has reportedly completed its full $40 billion funding commitment to OpenAI, removing a major financing uncertainty and accelerating the infrastructure race behind Stargate. The move reinforces OpenAI’s compute advantage just as AI agents shift from demos to real workflows across enterprise and consumer products. For marketers and tech leaders, the signal is clear: platform winners will combine reliable inference capacity with distribution. It also raises the strategic stakes for Meta’s Manus acquisition.

Meta acquires Manus. Here’s the 2026 impact on AI agents: ChatGPT 5.2 vs Gemini, Workspace Studio in Gmail, Meta AI glasses use cases, plus China-risk for enterprise.

A deep, practical POV on Meta + Manus: why execution layers matter, how Gemini’s Gmail agents compete, and what China-risk means for enterprise adoption in 2026.

Is there really an AI bubble, or are we witnessing one of the largest economic transformations since the internet? In 2025, fears of an AI bubble are growing as investment in artificial intelligence, data centres, and advanced chips accelerates at record speed. Yet the data tells a different story. With ChatGPT reaching around 800 million weekly users, OpenAI generating over $10 billion in annual recurring revenue, and businesses steadily increasing AI adoption, artificial intelligence is no longer experimental—it is operational. This article examines the real pressure points behind the “AI bubble” narrative, including market concentration, infrastructure costs, energy demand, and enterprise ROI concerns. More importantly, it explains why AI is best understood as a long-term automation engine that shifts revenue, boosts productivity, and expands economic capacity. Rather than a speculative bubble, AI represents a foundational re-platforming of work, search, marketing, and decision-making across the global economy.

ChatGPT Images (powered by GPT Image 1.5) gives growth teams a faster, more controllable way to generate and edit visuals for performance marketing. In this guide, you’ll learn 10 unexpected, practical use cases; ranging from rapid Meta and Google Ads creative testing, product image variants, and brand-safe background swaps, to AI Search/AEO/GEO-friendly visuals and content packaging that helps your work surface in AI answers. We also cover what GPT Image 1.5 is, where it fits in a modern paid media workflow, and the guardrails you need for quality, compliance, and conversion-rate impact.

GDPval is OpenAI’s “real-work” evaluation: instead of exam questions, it measures whether AI can produce economically valuable deliverables professionals would actually ship. It spans 44 knowledge-work occupations across nine U.S. GDP-leading sectors, selected using BLS wage data and O*NET task analysis with a 60% digital-work threshold. The benchmark includes 1,320 expert-designed tasks (plus a 220-task open gold subset) requiring artifacts like legal briefs, nursing care plans, financial spreadsheets, sales decks, and multimedia. Outputs are graded with blind, head-to-head expert preference judgments, complemented by an experimental automated grader. OpenAI notes models can be faster and cheaper on inference, but human oversight and integration matter. In this guide, you’ll get the full list of jobs, the methodology, what the early results imply for AI productivity and AI search, and what comes next: more roles, more multimodal context, and more iterative, ambiguity-heavy workflows. (integrated.social)

Apple's iOS 26.2 update includes crucial security patches for critical vulnerabilities (some of which were actively exploited) and new user-facing features designed to enhance privacy and safety.  Apple recommends all users update their devices to iOS 26.2 as soon as possible to ensure these critical protections are in place. For more details on Apple's security protocols, you can review their official Apple Platform Security documentation. 

GPT-5.2 is here: what’s new, key benchmarks (GDPval, SWE-bench, GPQA, ARC-AGI-2), and how it compares with Gemini 3 and Claude. ChatGPT GPT-5.2 analysed: new Instant/Thinking/Pro tiers, benchmark results, Gemini 3 vs Claude comparisons, and why OpenAI’s “code red” ends by January.

To reduce your risk of account takeovers, you must limit browser data exposure and adopt a zero-trust approach to security prompts. Start by disabling Chrome’s ability to sync passwords and payment details; move credentials to a dedicated password manager and delete old synced cloud data. Next, harden your Google and Apple accounts by enabling passkeys or app-based 2FA instead of SMS, and audit browser extensions to remove potential spyware. Crucially, defend against social engineering: never share verification codes, ignore unsolicited “support” calls, and deny any 2FA request you didn’t personally trigger. Attackers now prioritize hijacking browser sessions and manipulating recovery flows over simple password guessing. By isolating your passwords from your browser and refusing to validate unexpected login attempts, you neutralize the primary methods hackers use to compromise your digital identity.