Check your research, MIT: 95% of AI projects aren’t failing — far from it.According to new data from G2, nearly 60% of companies already have AI agents in production, and fewer than 2% actually fail once deployed. That paints a very different picture from recent academic forecasts suggesting widespread AI project stagnation.As one of the world’s largest crowdsourced software review platforms, G2’s dataset reflects real-world adoption trends — which show that AI agents are proving far more durable and “sticky” than early generative AI pilots.“Our report’s really pointing out that agentic is a different beast when it comes to AI with respect to failure or success,” Tim Sanders, G2’s head of research, told VentureBeat. Handing off to AI in customer service, BI, software [...]
The tools are available to everyone. The subscription is company-wide. The training sessions have been held. And yet, in offices from Wall Street to Silicon Valley, a stark divide is opening between w [...]
Perplexity, the AI-powered search company valued at $20 billion, announced on Wednesday at its inaugural Ask 2026 developer conference that its multi-model AI agent, Computer, is now available to ente [...]
Jensen Huang walked onto the GTC stage Monday wearing his trademark leather jacket and carrying, as it turned out, the blueprints for a new kind of monopoly.The Nvidia CEO unveiled the Agent Toolkit, [...]
While Silicon Valley debates whether artificial intelligence has become an overinflated bubble, Salesforce's enterprise AI platform quietly added 6,000 new customers in a single quarter — a 48% [...]
Microsoft today announced the general availability of Agent 365 and Microsoft 365 Enterprise 7, two products designed to bring security and governance to the rapidly growing population of AI agents op [...]
In the race to deploy generative AI for coding, the fastest tools are not winning enterprise deals. A new VentureBeat analysis, combining a comprehensive survey of 86 engineering teams with our own ha [...]
Artificial intelligence agents powered by the world's most advanced language models routinely fail to complete even straightforward professional tasks on their own, according to groundbreaking re [...]
Enterprise AI agents today face a fundamental timing problem: They can't easily act on critical business events because they aren't always aware of them in real-time.The challenge is infrast [...]
NanoClaw, the open-source AI agent platform created by Gavriel Cohen, is partnering with the containerized development platform Docker to let teams run agents inside Docker Sandboxes, a move aimed at [...]