Brian Armstrong says Coinbase AI cut restriction delays by 90%

Activist investor pressure on Big Tech's AI energy use could reshape regulatory landscapes, financial risks, and ESG investment dynamics. The post Activist investors press Amazon, Google, Meta on AI energy use and climate goals appeared first on Crypto Briefing.

For small and midsize businesses (SMBs), AI is no longer optional. But for many leaders, the real challenge is making those investments pay off. That’s where things often break down. Too many AI initiatives start with tools instead of outcomes. They stay stuck in pilot mode. Or they deliver insights [...] The post AI ROI for SMBs: A practical guide for leaders who want results appeared first on SAS Blogs.

Artificial intelligence is fundamentally rewriting the rules of cyber defense. The companies leading this transformation are compressing response times from hours to seconds, replacing manual analyst workflows with autonomous agents, and tackling attack surfaces that legacy tools were never built to see. From exploit intelligence to AI-powered identity governance, these are the scale-ups building the […]

The integration could revolutionize digital economies by enabling autonomous AI transactions, potentially reshaping machine-to-machine commerce. The post Trust Wallet integrates Binance x402 for autonomous AI agent payments appeared first on Crypto Briefing.

Google's AI integration challenges its ad revenue model, reshaping SEO and online visibility, while regulatory risks add further complexity. The post Google seeks to balance AI disruption with core business protection appeared first on Crypto Briefing.

Meta says it needs to “offset the other investments we're making.” | Image: Cath Virginia / The Verge, Getty Images Meta has reportedly notified thousands of employees that they've been laid off as the company attempts to compensate for its hefty AI investments. In an email from Meta management shared by Business Insider, impacted staffers were told that the planned headcount reduction was part of the company's "continued effort to run the company more efficiently and to allow us to offset the other investments we're making." Reports of an upcoming wave of layoffs started circulating in March, though at that time Meta was believed to be cutting up to 20 percent of its total company headcount. According to a recent memo shared in May, the layoffs are now … Read the full story at The Verge.

The Manus situation highlights increasing regulatory hurdles in AI acquisitions, reshaping investment strategies and geopolitical dynamics. The post Manus explores $1B raise to buy back shares from Meta amid integration issues appeared first on Crypto Briefing.

For the past few years, enterprise AI conversations have been dominated by optimism: bigger models, more pilots, faster automation. The prevailing assumption was simple — pick the right AI platform and progress would follow. Reality has been far less forgiving. Most IT leaders have discovered that production AI is significantly harder than early experimentation suggested. The real work begins not when a model performs well in isolation, but when it must operate inside environments that are secure, observable, and operationally durable. Recent research my company conducted with enterprise cloud architects and IT decision-makers confirms what many engineering teams already know instinctively: experimentation is easy. Operationalizing AI reliably, repeatedly, and at scale is the hard part. Once AI begins influencing real workflows, recommending decisions or triggering actions, the model quickly becomes the least interesting part of the system. The pressure shifts to everything around it.