While I agree with the article, I think AI can speed up all steps in the Gantt chart. It's really good about aggregating and summarizing information.

>Process blocked on human inputs

Have AI check chat, email, issue tracker and see who it's blocked on and what latest status is. It may not save a huge amount of time but it can dig through the info pretty quick.

>Exploration

Once again, have it scour issue tracker, chat, customer suggestions, product documentation and summarize history and current status. Much quicker than setting up new meetings to try to rediscover and organize existing info.

Another use case, have agent build prototype, hand to people, have AI summarize and integrate feedback.

Claude or ChatGPT + Slack MCP + Jira MCP + Google Docs MCP + internal knowledgebase MCP + gh (GitHub) CLI + Datadog MCP--really 1 MCP per process in the Gantt chart--has been a huge boost at work just digging through context scattered all over the place and summarizing.

That said, it definitely still needs supervision and hand holding along the way