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 developmentSanders points out that the now oft-referenced MIT study, released in July, only considered gen AI custom projects, Sanders argues, and many media outlets generalized that to AI failing 95% of the time. He points out that university researchers analyzed public announcements, rather than closed-loop data. If companies didn’t announce a P&L impact, their projects were considered a failure — even if they really weren’t. G2’s 2025 AI Agents Insights Report, by contrast, surveyed more than 1,300 B2B decision-makers, finding that: 57% of companies have agents in production and 70% say agents are “core to operations”;83% of are satisfied with agent performance;Enterprises are now investing an average of $1 million-plus annually, with 1 in 4 spending $5 million-plus; 9 out of 10 plan to increase that investment over the next 12 months; Organizations have seen 40% cost savings, 23% faster workflows, and 1 in 3 report 50%-plus speed gains, particularly in marketing and saless;Nearly 90% of study participants reported higher employee satisfaction in departments where agents were deployed.The leading use cases for AI agents? Customer service, business intelligence (BI) and software development. Interestingly, G2 found a “sur …
