#ai-sprawl

#ai-sprawl

ChatGPT for writing marketing copy, Claude for code, Gumloop for automating workflows: what we have now is a sprawling bouquet of tools that operate in siloes, don't have the full context of your work, and steadily stack up subscription costs. But there's another, bigger problem: The bill doesn't just come in dollars; it comes in hours. ⏰ Hours toggling between chat and your writing tool for the latest feedback; hours making a decision with only half the facts; hours of momentum lost switching between platforms.

In the race to stay ahead, organizations have thrown open the doors to every AI tool under the sun. The result? AI overload. According to the Wharton School, AI spending has skyrocketed by 130% in just the past year, and 72% of companies are planning to invest even more in 2025. Yet, here's the kicker: 80% of organizations report no tangible enterprise-wide impact from their generative AI investments.

Only 7.2% of teams rate their AI strategy as "super effective" with strong ROI. 91% of workers use just 1-4 AI tools weekly, despite companies investing in dozens.

Every time you switch between AI tools, you lose context. Every time you copy-paste from one app to another, you lose time. Every time you explain your project to yet another chatbot, you lose momentum.