Now that AI is embedded in daily workflows, the goal of efficiency is more attainable than in pre-pandemic years. Teams can do more with fewer hands on deck, and the gains can be seen almost immediately. But something subtly changes when efficiency is top priority: The human side of work begins to fade, leading to the erosion of company culture.
The cultural cost of efficiency
Efficiency doesn’t collapse culture overnight. It disintegrates over time. At first, AI will help employees maintain a decent level of output, but the symptoms of a weakening company culture don’t stay in the background for long. Unfortunately, the same symptoms feed into high turnover, making company culture even more important as workplaces become more AI-efficient.
Here’s what the shift looks like:
Morale tanks
Morale drops when effort stops feeling meaningful. AI-accelerated work helps employees finish in less time, but it’s not rewarded or recognized the same way. When a task that usually takes a week is done in three days, the sense of “we just did something big” feels much weaker. There’s no pause to celebrate little wins before moving on to the next assignment, thus diminishing the feeling of accomplishment.
Burnout doesn’t disappear
In high-efficiency environments, employees may continue working even when they’re physically or mentally depleted. AI makes it possible for employees to take on more, but they’re also pressured to do more with tighter deadlines. In addition to handling multiple projects, they must maintain the same level of quality output.
Early results from Harvard Business Review’s ongoing research have found that employees are still working long hours to pick up extra work. But now, it’s of their own accord. Instead of taking time off for a refresh, they end up pushing through burnout to maintain their output. And since AI is perpetually available, it’s easy for employees to sink into “autopilot” mode.
Employees start to feel like a number
As an HR data analyst, I’ve been in numerous meetings that revolved around employees’ throughput and performance metrics. When talking to employees to get the story behind the numbers, some said they only received attention from their manager when their output or metrics dropped. The conversation rarely shifted toward, “How are you doing?”
AI systems generate more data and performance metrics, which can be great for decision-making. But when leaders lose sight of the nuance that’s required for effective performance management, employees lose the motivation to make an impact beyond what shows up in a spreadsheet.
How to recalibrate your company culture
I want to clarify that efficiency and AI aren’t villains in the story of company culture. An AI-efficient workplace can still prioritize culture; it just requires some thoughtful guardrails. So if your culture feels out of balance, here’s where to start:
1. Protect productivity margins
As AI creates efficiency gains, resist the urge to automatically reinvest 100% of it into more output. You want to deliberately preserve this breathing room by limiting how many assignments an employee can work on within a set time period.
To determine how many tasks each employee can handle, I like to run a few cycles at that pace and assess the workload strain. That helps me distribute tasks more appropriately.
Then you can funnel some of this reclaimed time into development, process improvement, and culture-building activities.
2. Build a rapport with employees
Rapport gives you early visibility into what’s happening, even if everyone seems fine on the surface. This is golden since dashboards don’t have check-engine lights on this side of work.
For example, I like knowing who tends to overcommit, so I won’t blindly ask them to take on more work because I know they’ll say yes. I also like knowing when an employee’s quietness is a sign that they’re feeling overwhelmed.
3. Reconfigure the recognition process
Recognition shouldn’t only reward those who have the highest numbers, and, conversely, poor performance shouldn’t be the only time they get a DM from their manager. Instead, reconfigure your recognition process to look beyond metrics. Cross-team support, knowledge-sharing, and good ideas still deserve a spotlight.
Give credit to the person who improved a process or surfaced an issue before it became a major problem. By recognizing contribution, collaboration, and thoughtful problem-solving, you create a supportive environment that makes employees feel seen.
4. Normalize accepting help
Many employees won’t admit they need help or accept it when offered. Oftentimes, accepting help feels like the tacit admission of underperformance or incompetence—especially when output is highly visible.
For culture to stay healthy, accepting help has to be normalized. To do that, I like to redistribute work before someone is stretched too thin, and I shift how I talk about their workload. Since their output is already tracked, I look to see if anyone has too many assignments in motion.
Simply asking “Do you need help?” is likely to get a polite response, so instead, I pop into their Slack messages to let them know I saw how much work is on their plate and still have X, Y, and Z to do.
Then I say, “Let’s rebalance this to take some pressure off your week.” I reassure them that it’s no problem for me to reassign those tasks. Once they see that you genuinely care and want to help, asking for it becomes less of a struggle.
5. Prioritize psychological safety
For efficiency and company culture to coincide harmoniously, psychological safety has to be a priority in every interaction. Without it, employees won’t feel comfortable speaking up, admitting mistakes, or suggesting ideas. For instance, if someone is dismissed or chided after raising a concern about their workload, they’re less likely to speak up again.
To build psychological safety, respond to vulnerability with curiosity and ask follow-up questions. Thank employees for bringing the issues to your attention, then take it further by asking what you’re missing and holding open discussions.
