AI Gives 1 in 4 Business Leaders One Full Day Back Every Week

Imagine sitting down at your desk on a Monday morning to find only the tasks you are genuinely great at left on your schedule: making decisions, meeting people, setting direction. The paperwork, notes, and document summaries have already been neatly handled beforehand. For 1 in 4 business leaders, that is no longer just a visualization.

According to a new Tech.co survey, 22% of small and medium-sized business leaders say AI helps them save 6 to 10 hours a week, equivalent to a full working day. This figure makes the conversation about the 4-day workweek feel a bit less utopian. However, the real story isn't just about the numbers; it's about what they did to achieve this, and what the rest are missing out on.

22% save 6–10 hours: A number worth pausing for

Saving 6–10 hours a week isn't just about shaving off a few minutes of typing. It represents a full workday clawed back from repetitive tasks, which is why it deserves more attention than flashy AI promises.

However, read this data with a clear head:

• This survey data is self-reported, not measured by a stopwatch.
• The respondents are small and medium-sized business leaders, a group with fewer layers of middle management, making the time saved much more visible.
• This doesn't mean every business achieves this level. It simply indicates that this milestone is real.

Spend how much, save how much

The most interesting takeaway from the survey is the correlation between money and time. The group spending between $1,001 and $2,500 on AI tools typically saves 6–10 hours per week. Meanwhile, the group spending under $100 a month mostly saves less than 2 hours.

This points to a very practical limitation: cheap tools usually only scratch the surface of a task. You can summarize an email or draft a paragraph, but for AI to truly shoulder an entire workflow—connecting data, understanding context, and running across multiple departments—requires a higher investment of both money and time.

Don't rush to open your wallet just yet. Start by measuring: how many hours do you and your team spend each week on tasks that can be broken down into processes? That number should be your baseline for deciding how much to spend.

Seven tasks leaders are delegating to AI

When asked what they use AI for, business leaders gave quite focused answers:

1. Writing and content creation — 29%
2. Research, information search, and synthesis — 26%
3. Customer service — 19%
4. Meeting notes — 16%
5. Scheduling and calendar management — 16%
6. Financial tasks and bookkeeping — 15%
7. Human resources and team management — 13%

What's worth noting: time-consuming tasks like writing and research are assigned to AI far more often than quick administrative chores. This is a sign of a shift—AI is no longer just a fast-typing assistant, but is becoming a co-worker tackling the heaviest burdens.

Why do writing and research lead, while scheduling ranks last?

Writing and research share common traits: they consume time, are easily interrupted, and can be broken down step by step. That makes them fertile ground for AI, because a draft doesn't need to be perfect; it just needs to be good enough for you to start editing.

Conversely, scheduling or team management might be quick, but they are deeply embedded in the habits and specific workflows of individual businesses. The cost of changing how things are done can sometimes outweigh the time saved.

If you are looking for a starting point, follow a counterintuitive principle: start with the long, tedious, and repetitive tasks, not the smallest ones.

Customer service: 80% see increased productivity, but there is a price

Among leaders who have replaced manual customer service with AI, 80% report improved productivity. This is the highest rate in the survey, and understandably so: fast responses, 24/7 availability, and no holidays.

Yet few areas risk losing customer goodwill so easily. A customer frustrated by a faulty order who receives a robotic reply will feel treated like a support ticket rather than a human being. Increased productivity does not automatically equate to a better experience.

A practical balance is usually tiered: let AI handle simple, repetitive inquiries with clear answers, and hand over to a human the moment an issue touches on emotions, money, or trust.

A day returned—what to use it for?

This is the hardest part, and the one least talked about. Saving 8 hours only to fill them with 8 more hours of meetings gets you nowhere. Saved time doesn't automatically turn into value; it only becomes valuable when you decide in advance how to spend it.

Here are a few suggestions you can apply starting this week:

• Spend 30 minutes listing the repetitive tasks that consume the most time in your week.
• Pick just one or two tasks to experiment with, rather than biting off a dozen tools at once.
• Measure the time before and after using AI to see if you are truly saving time or just feeling less stressed.
• Lock in a fixed block of time to dedicate the saved hours toward strategy or personal well-being.

Tech.co editor Jack Turner notes that with 22% of business leaders reporting that AI saves them 6–10 hours a week, the vision of a 4-day workweek is closer than ever.

Are you in the 22% group, or the rest?

A bit of critical balance is needed here: this is self-reported survey data from small and medium-sized businesses, and the feeling of heightened productivity isn't always measurable in business results. A 4-day workweek remains far off for most of us.

However, ignoring these figures also comes at a cost. When 1 out of 4 peers in your position gains an extra day every week to think about products, customers, and people, the gap will quietly widen.

What about you? If you were given a full working day back this week, how would you spend it—and what is holding you back from starting? Drop a line in the comments; I’d love to hear your real story. And if you found this article helpful, share it with someone currently buried in paperwork; they might just need this small nudge.