AI is quietly eating every ‘small task’ in your workflow.
In the last hour alone, people have used AI to: Restore blurry old photos
Draft SQL pipelines
Offload multi-step digital work to agents
Turn selfies into scroll-stopping videos
Even run fleets of ‘AI employees’
WORKFORCE
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AI Quietly Handles Small Tasks Across Workflows Daily
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AI Impact on Job Satisfaction and Workplace Security Poll Results
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The results from our latest reader poll: How has AI changed how you feel about your job? The short version: most people better about their work with AI, and yet also less secure in their role. People are also feeling more productive, but almost no one feels their workload has
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AI workers busier as iteration time shrinks from week to 15 minutes
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Everyone I know in AI has gotten busier. Why? Jensen explained it last week. When he asks for a project to be done, it used to take his team a week to do it. Now it takes 15 minutes. So iteration cycle has greatly sped up. In other words, we don't do the same just because we
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Executive Calendar Management: The Strobe Light Effect
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People don't understand executive calendars.
— Lenny Rachitsky (@lennysan) 23 mars 2026
I describe an executive's calendar as like a strobe light going off.
You wake up at 8AM, you've already got a huge list of urgent things going on.
You go from a meeting with finance on a budget, to an interview for another… https://t.co/xV3W358m0E pic.twitter.com/p9Eo8hMvGyPeople don't understand executive calendars. I describe an executive's calendar as like a strobe light going off. You wake up at 8AM, you've already got a huge list of urgent things going on. You go from a meeting with finance on a budget, to an interview for another
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AI job safety claim for plumbers and electricians
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“Only plumbers and electricians are safe from AI taking their jobs”
— AI Breakfast (@AiBreakfast) 23 mars 2026
Meanwhile:pic.twitter.com/LT82bnmnJu“Only plumbers and electricians are safe from AI taking their jobs” Meanwhile:
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AI Automation Economics: Job Displacement vs Hiring Dynamics
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After a brief hiatus, new post with @soumitrashukla9: "How Will AI-driven Automation Actually Affect Jobs? The economics of AI exposure and job displacement" There has been a lot of discussion in the media, X, substack, etc about AI driven displacement. We felt like it'd be worth working out the actual economics of when AI automation will actually lead to displacement, versus the exact opposite (more hiring, higher wages). A short summary🧵: AI "exposure" measures are not meant to predict displacement or job automation. Exposure can lead a job loss, or it can lead to more hiring and higher wages. It all depends on how 1) automated tasks interact with non-automated tasks (to what extent they're complements), 2) how consumer demand in that sector responds to prices (elasticity of consumer demand), and 3) the dimensionality of the job (the number of tasks a job has). One conclusion: we should be less worried about consultants and more worried about truckers and warehouse workers than we currently are. Link: substack.com/home/post/p-191…
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Forcing Outdated Tools Damages Engineer Morale
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And the worst thing that your company can do to tank your engineers morale is force all of them to use your preferred tool, especially an outdated one.
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Building AI Enterprise: 70+ Channels, Labs, Services
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2026: – being an individual creator – separately running 70+ channels @ 1Bn+ views a month
– running Aeos Labs (enterprise AI services) – running YAAS (enterprise content services)
– 100+ enterprise clients across everything incl. Coca Cola, Cleartrip, Zoho, etc etc. – making -
4 Essential AI Questions for Board-Level Strategy in 2026
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🏛️ In 2026, AI is a board-level responsibility, and the biggest risk is asking the wrong questions.
— Bernard Marr (@BernardMarr) 23 mars 2026
In this video, I share 4 essential questions:
✅ Where does AI create value, revenue, cost, or business model change
✅ What is our data strategy, quality, security, and ethical… pic.twitter.com/l3qj4IB8lVIn 2026, AI is a board-level responsibility, and the biggest risk is asking the wrong questions. In this video, I share 4 essential questions: Where does AI create value, revenue, cost, or business model change What is our data strategy, quality, security, and ethical
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Gen Z Stereotypes Impact Business Strategy and Workplace Culture
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Your stereotypes about Gen Z aren’t just inaccurate. They’re hurting your business. https://
fastcompany.com/91497796/your-
stereotypes-about-gen-z-arent-just-inaccurate-theyre-hurting-your-business-leadership-marketing-gen-z
… #business #jobs #genzlife #workplace