Investors who bet on mega-cap tech firms to monetize massive AI infrastructure outlays now face mounting uncertainty as geopolitical shocks and profitability questions trigger a broader reassessment.
Global insurers invest at record levels in artificial intelligence but see almost no measurable results, exposing a fundamental disconnect between deployment and business outcomes.
Vendors embed machine learning and closed-loop automation into corporate networks, promising to predict and resolve outages without human intervention.
A wave of disillusionment is sweeping corporate AI programs as spending nears $2 million per project while fewer than one-third of executives report satisfactory returns.
Atlanta-based PDI rolls out PDIQ to automate workflows in fuel and retail operations, while labor market observers warn traditional career ladders are giving way to nonlinear paths.
Alibaba, Meta and Anthropic roll out AI systems that execute tasks independently, from bookkeeping to file editing, as adoption accelerates despite unresolved safety questions.
AKA Foods launches AI platform to help food companies accelerate R&D timelines and manage shifting compliance requirements, as sector confronts speed gap with faster-moving rivals.
A new AI model designed for offensive cybersecurity operations can autonomously exploit vulnerabilities at scale, prompting urgent calls for enterprise guardrails as shadow AI proliferates.
