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Cryptocurrency hardware wallet manufacturer Ledger acknowledges customer order data exposure on January 5, 2026 following unauthorized access at e-commerce partner Global-e, affecting Ledger.com purchase information and raising crypto security concerns.
Technology research firm Gartner forecasts atrophy of critical thinking skills due to generative AI use will push half of global organizations to implement AI-free skills assessments through 2026, raising concerns about cognitive dependency on artificial intelligence systems.
Recent passage of the GENIUS Act has provided regulatory clarity enabling more confident investment in crypto infrastructure and AI companies, according to industry observers.
The two big AI stories of 2026 have been the incredible rise in usage for Anthropic's Claude Code and a similar boost for Google's Gemini 3, as AI shifts from hype to practical applications.
Technology industry pivots from building ever-larger AI models to practical implementation, deploying smaller specialized systems, embedding intelligence in physical devices, and designing workflows that integrate seamlessly into daily operations.
Chief Financial Officers surveyed for 2026 identified technology investments, particularly AI and automation, as critical priorities. The shift reflects technology's growing importance to financial operations and strategic planning.
As 2026 begins, investors and analysts search for boundaries to AI enthusiasm. Questions about infrastructure costs, energy consumption, and realistic timelines for returns challenge unbounded optimism.
January 2026 brought five fresh European unicorns, from Belgium to Ukraine, with several tech startups raising funding at valuations above the $1 billion threshold.
Semiconductor stocks began 2026 with a rally, extending their remarkable three-year winning streak. The AI trade continues driving chipmaker valuations despite questions about sustainability.
Despite solid quarterly results, Microsoft's stock faced pressure as investors scrutinized rising capital expenditures for AI infrastructure. The accelerating costs raised questions about return timelines on AI investments.
