Why Culture Beats AI as the Ultimate Productivity Hack

The Productivity Paradox: AI Tools vs. Culture

In the rush to adopt artificial intelligence, many organizations are overlooking a fundamental truth: culture, not AI, is the biggest productivity lever. Engineering leadership expert Gregor Ojstersek, with over 13 years in the industry, argues that focusing on AI tools without addressing organizational culture is a recipe for failure.

"We're focusing too much on AI tools alone and not enough on the environment in which the tools are being used," Ojstersek writes in his newsletter. "There's something a LOT more important than AI tools, and that's a great culture."

This perspective aligns with broader industry data. McKinsey's 2026 Global Survey reveals that while 80% of employees report AI improving their individual productivity, the organizational benefits are less clear—only 14% of companies saw actual workforce reductions from AI, far below the 32% who expected them.

The Damaging Message: "We Don't Need as Many People"

Ojstersek identifies a particularly toxic sentence that breaks culture: "This is very easy to build now that we have AI, and we don't need as many people." When executives say this, it destroys psychological safety and makes employees question their value.

"No better productivity hack exists than a great culture," he emphasizes. "No AI tools will provide bigger productivity gains."

McKinsey's data supports this tension: 47% of mid-level managers and individual contributors report AI-related strains, compared to just 31% of executives. The disconnect between leadership expectations and ground-level reality is a cultural time bomb.

Conway's Law and the Culture-Productivity Connection

Ojstersek invokes Conway's Law—organizations produce designs that mirror their communication structures—to explain why culture directly impacts outcomes. "If the culture is bad, the end product will be bad as well," he explains. "People just don't work together well and don't communicate properly."

The implication is clear: AI amplifies whatever exists. Bad communication becomes worse; bad architecture becomes worse. But good culture and architecture give AI a better blueprint to work with, creating compounding benefits.

The FOMO Trap: Chasing 10x Claims

CEOs often panic when competitors report 10x productivity gains from AI. Ojstersek warns these claims are frequently marketing hype. "Many of the CEOs fall for the trick and make their company culture a lot worse," he says.

His advice: Always examine the incentives behind productivity claims. "That says a lot about whether it's true or not."

Redefining the Leadership Question

Instead of asking "How do we get everyone to use AI?" Ojstersek argues leaders should ask: "How do we build an organization where great people can do their best work, and then use AI to multiply them?"

This reframing shifts focus from tool adoption to creating conditions for excellence. His culture assessment includes questions like: Do people feel safe challenging leadership? Can they make decisions without approval? Do we learn from failures or blame individuals?

AI Adoption: Bottom-Up, Not Top-Down

Ojstersek's boldest claim: AI adoption only works bottom-up. Because tools change rapidly, forcing adoption from the top creates resistance and poor outcomes.

"AI adoption is not a tooling problem, it's a leadership problem," he asserts. "If your goal is just to increase AI usage, you're basically losing. The goal should always be business success."

Effective messaging frames AI as another tool in an engineer's arsenal, not a replacement. "What great engineers do is learn and utilize all tools that help them do the work better," he advises. "That hasn't changed with AI."

The Case for Hiring More Engineers

Counter to the "AI replaces engineers" narrative, Ojstersek argues that the best companies hire more engineers, not fewer. More talent, combined with AI, exponentially increases productivity—provided culture is strong.

McKinsey's data partially supports this: while 39% of respondents expect AI-related workforce declines, actual reductions lag expectations. The survey also shows AI helps 50% of employees make better decisions and develop new skills—gains that compound with human expertise.

The Verdict: Culture as the Ultimate Multiplier

As one commenter on Ojstersek's article noted: "AI will just magnify the pre-existing problems within organizations if left unchecked."

The evidence across sources is consistent. Whether it's McKinsey's survey showing the gap between AI expectations and reality, or Ojstersek's practical experience, the conclusion is the same: culture is the foundation. AI is a powerful tool, but it cannot fix broken communication, low trust, or fear-based management.

Leaders who invest in psychological safety, clear priorities, and constructive feedback loops will see AI amplify their gains. Those who chase tool adoption without cultural groundwork will watch their investments evaporate—and their best talent walk out the door.