Key Takeaways

  • Enterprise leaders are cutting management layers to trim payroll, but Graham warns this short-term trend will backfire as organizations lose their structural anchors.
  • Rachitsky notes that an employee's direct manager remains the single strongest lever for workplace happiness and day-to-day stability.
  • Delegating tasks to software differs from handing work to humans: leaders must maintain human accountability and actively define what quality work looks like.
  • When tools change overnight, managers serve as behavioral role models, showing their teams how to adopt automation without burning out.

The Flattening Trap

Tech executives love flattening their organizations right now. Every few weeks, another large tech company announces it is stripping out middle management layers to run leaner. They assume individual contributors armed with new automation tools can manage themselves.

Graham thinks that logic is flawed. “There are trends inside of bigger companies to get rid of management like to get rid of whole management layers and I think it is a huge mistake,” Graham said. “I think it is going to end up biting people in the ass long term because I see no signs right now that management matters less.”

Cutting managers removes the buffer between market chaos and everyday execution. When engineers and designers are surrounded by noise about displacement, burnout, and shifting tooling, they do not just need compute credits. They need someone who understands their context, sets clear priorities, and helps them process rapid change.

Setting the Bar for Quality

Years ago, Graham popularized the phrase “give away your Legos” to describe how workers must happily hand off responsibilities as a startup scales. But handing a project to an ambitious teammate is nothing like delegating work to an AI system. Software does not push back, ask for career growth, or take moral responsibility for errors.

Because software produces believable drafts in seconds, the risk of low-quality work flooding internal systems is higher than ever. Someone has to decide what standard of work actually passes the bar. That duty belongs to human managers.

“We need to hold on to the definition of like accountability and what good means,” Graham explained. “What is right to give away to AI and what do we still as humans and people and workers need to own.”

If managers disappear, accountability evaporates. Teams end up shipping machine-generated sludge because nobody owns the standard of craft.

Role Models During Disruption

When tools shift every quarter, employees feel isolated, anxious, and cynical. Software cannot fix tech industry loneliness or grief over changing job roles. Rachitsky points out that if you want to fix employee morale, the solution is structural: “The one thing that you can actually change to increase people's happiness right now at work is their manager. That's the strongest lever for happiness at work.”

Managers cannot hide behind corporate talking points during this shift. They have to demonstrate healthy habits in real time.

“Understand that you're a role model, and that what you do and how you behave is essentially showing your team what good looks like,” Graham noted. “That means that how you use AI trickles down, but also how you sit in this moment, like how you show up.”

When a leader shows honest vulnerability about what they know and what they do not know, it gives the rest of the team permission to learn without panic.

What to Do With This

Audit how your team reviews automated output this week. In your next 1-on-1, pick one deliverable created with AI tools and review it together line by line. Clearly mark where the machine output met your quality bar and where human judgment, context, and taste were required to fix it.