We are at a turning point where artificial intelligence systems are beginning to operate beyond human control. These systems are now capable of writing their own code, optimizing their own performance, and making decisions that even their creators sometimes cannot fully explain. These self-improving AI systems can enhance themselves without needing direct human input to […]<br /> The post The AI Control Dilemma: Risks and Solutions appeared first on Unite.AI. [...]
Across 107 enterprises, agentic orchestration is not a choice of a single platform.The typical enterprise runs three orchestration platforms at once, and selects them for flexibility across models rat [...]
Across 101 enterprises, agent orchestration is consolidating onto model-provider platforms — Anthropic’s Claude leads by a wide margin — chosen for the gravity of the underlying model and judged [...]
Enterprise AI has a new infrastructure problem: companies are accumulating agents faster than they are developing systems to govern them.Gartner estimates that the average global Fortune 500 company w [...]
AI agents – task-specific models designed to operate autonomously or semi-autonomously given instructions — are being widely implemented across enterprises (up to 79% of all surveyed for a PwC rep [...]
AI portfolios are expanding far faster than the ability to govern them across enterprises. Most organizations run a contested field of platforms, each claiming to be the “primary” AI layer; few co [...]
New VB Pulse data shows Microsoft and OpenAI leading enterprise agent orchestration, but Anthropic’s first measurable foothold points to a larger fight over who controls the infrastructure where AI [...]
The UK AI Security Institute (AISI) disclosed last night that the leading two frontier AI models from Anthropic and OpenAI took 19 unsanctioned actions against the live internet during cybersecurity t [...]