Mark Zuckerberg says Meta will start shipping new AI models and products in the coming months, with a major focus on AI-powered commerce tools. The company is backing this push with a massive infrastructure spend, projecting capital expenditures of $115-135 billion for 2026.
A new Forbes analysis highlights a core strategic tension in AI-driven healthcare. Patients and doctors must choose between systems offering deep physiological intimacy or broad life-context integration, with major implications for equity and trust.
The latest earnings from tech giants reveal a clear pattern in the AI investment frenzy. Investors aren’t looking for proof of profit yet—they’re looking for a believable story backed by a healthy cash cow to keep the dream alive.
Snap Inc. is launching a new subsidiary, Specs Inc., to develop a fresh line of smartglasses. The company promises a “first-of-its-kind” AI system and see-through AR lenses, with the first model targeting a 2026 release.
Meta crushed Q4 earnings, but the real story is its radical spending plan. The company is forecasting up to $135 billion in capital expenditures this year, nearly double 2025, to fuel an AI race where it admits it’s behind. Zuckerberg’s goal is “personal superintelligence” by 2026.
OpenAI is reportedly trying to raise up to $100 billion at a staggering valuation of $830 billion. SoftBank’s Masayoshi Son is in talks to provide up to $30 billion of that, but funding it will be a huge stretch. Other investors may not be so eager to buy in at such a high price.
Website builder Duda is tackling a major flaw in AI-generated sites: repetitive, unoptimized content. Its new “Populate Template with AI” feature injects tailored content into pre-built templates without messing up the design or code. The goal is to keep the high performance and SEO benefits of a hu
According to a new analysis, the massive investment in AI is unsustainable without clear paths to profit. The scramble to monetize will reshape everything from search to B2B, with 2026 flagged as the year the bill comes due.
Elon Musk is teasing a new system for X to label “manipulated media,” but details are nonexistent. The move echoes failed attempts by other platforms and ignores the complex reality of modern image editing. Without clear rules, it’s likely to cause more problems than it solves.
A new article highlights the massive gap between AI pilot projects and scaled deployment. The real challenge isn’t the technology itself, but the operational and cultural shift required to make it work.
