Human-AI Intersectionr/artificial

Why Hasn’t AI Made Work Easier?

Monday, March 23, 2026Read original

ai-productivity-paradoxshallow-work-trapdeep-work-declineai-adoption-consequences

“AI users spent 100%+ more time on email/messaging and 9% less time on focused work—we're working faster on the wrong things”

Key takeaways

Large-scale study (164K workers, 180-day tracking) shows AI adoption doubled time spent on email/messaging/chat and increased business software use by 94%, but reduced focused work time by 9%
This represents a 'productivity paradox'—AI accelerates shallow, context-switching work while cannibalizing the deep work that drives actual value creation
Pattern repeats historical technology adoption cycles (email, mobile, video-conferencing) where efficiency tools paradoxically increased busyness without proportional output gains
The methodology is particularly strong: individual tracking before/after AI adoption with control group comparison, eliminating confounding variables
Represents emerging contrarian narrative against uncritical AI adoption—organizations need intentional frameworks to prevent AI from becoming another busyness multiplier

Why this matters for operators: Critical for companies implementing AI tools—need frameworks to prevent shallow work proliferation

I cover AI×GTM intelligence like this every Wednesday.

Enterprise AIn8n Blog

n8n will be embedded as fully managed environment within SAP's Joule Studio on Business AI Platform
Integration provides visual AI workflow orchestration for SAP developers with built-in identity, access control, and compliance
Partnership positions n8n within SAP ecosystem alongside SAP Build and Integration Suite for agentic workflow capabilities

automation-stacksai-workflow-orchestrationenterprise-ai-adoption

Enterprise AIOpenAI

OpenAI creating separate entity (DeployCo) specifically for enterprise AI deployment
Implicit acknowledgment that frontier AI models alone don't translate to business value without implementation support
Signals growing market for AI implementation/consulting services as distinct from model development

ai-policyvendor-fundingrevenue-platform-consolidation

AI×GTMHello OperatorVictor's pick

cool thesis and also lots of great links here

Article title suggests contrarian view that AI could positively impact NRR, contrary to fears about AI reducing expansion revenue
References ServiceNow 2026 data and State of Martech 2026 report as potential evidence sources
Includes podcast interview with Tim Sanders from G2, likely discussing market trends and vendor landscape

ai-nrr-impactrevenue-platform-consolidationmartech-landscape

This analysis was produced using the STEEPWORKS system — the same agents, skills, and knowledge architecture available in the GrowthOS package.