750 daily emails, 40+ parallel Slack notifications, Telegram and WhatsApp pings, and dozens of AI replies are the dark side of squeezing the most out of LLMs.
Automated outreach at scale, programmatic SEO, signal-based cold emails, AI-driven LinkedIn and X replies, robo dialers are the obvious spawn that has only increased in annoyance in the past two years.
But usability now contributes to that:
– AI code reviews
– Cursor in Slack for individual PRs
– GitHub notifications from agentic workflows
– Openclaws and similar bots sending reminders and reporting on triggered emails
And managing people who deliver results faster reaches more blockers and more conversations sooner. When a task takes 4 hours of deep work and debugging, you often get 2 quick check ins with a person per day for a couple of minutes. When productivity reaches 60 pull requests and sifting through 15 tasks, that bubbles up higher.
Second-order consequences at their finest.
The Operational Cost of AI-Driven Productivity
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The Author
Mario Peshev is a 5x CEO and operator, founder of DevriX and Growth Shuttle, global value creation advisor, angel investor, and author of “MBA Disrupted.”
His original background in engineering rode the wave of IT entrepreneurship in the last 25 years, from product and service entrepreneurship through acquiring and selling businesses, to investing in global startups like beehiiv, doola, the Stacked Marketer, Alcatraz, SeedBlink.
Peshev spent over 10,000 hours in consulting and training contracts for mid-market and enterprise organizations like VMware, SAP, Software AG, CERN, Saudi Aramco since 2006. His books and guides are referenced in over 50 universities in North America, Europe, and Asia.
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