Most of what people call multitasking is not two things happening at once — it is rapid switching between tasks, with a measurable cost paid at every switch. The brain does not run two cognitively demanding processes in parallel the way a computer runs background threads; it toggles attention, and the toggle itself costs time and accuracy, even when it feels seamless.
What changed in 2026
- Notification-management features expanded across major platforms, with more granular focus modes, batching, and do-not-disturb scheduling built into phones and laptops by default, making single-tasking somewhat easier to set up than it used to be.
- Return-to-office and hybrid schedules changed the interruption landscape. Open-plan offices and constant meeting-chat overlap remain a common source of forced task-switching that individual willpower cannot fully solve.
- AI tool proliferation added a new multitasking pressure: juggling multiple AI chat windows, code assistants, and traditional tools simultaneously has become its own new source of context-switching, distinct from the older phone-notification problem.
Why task-switching has a cost
Each time attention shifts from one task to another, there is a brief period where performance on the new task is degraded — sometimes called "attention residue," where part of your cognitive resources are still processing the task you just left. For simple, well-practiced tasks the residue is small. For complex or unfamiliar tasks, it is larger, and it compounds: frequent switchers do not just lose the transition time, they also make more errors and produce lower-quality output on both tasks.
This is why "I am good at multitasking" is a claim worth being skeptical of. Some research on self-rated multitasking ability has found a weak or even inverse relationship between people's confidence in their multitasking skill and their actual performance on multitasking tests — but treat that as a pattern to watch for in yourself rather than a settled fact, and do not assume it applies uniformly to everyone.
Task combinations compared
| Combination |
Switching cost |
Verdict |
| Two cognitively demanding tasks (writing + strategic email) |
High |
Avoid — do sequentially |
| Cognitive task + passive audio (coding + music without lyrics) |
Low to moderate |
Usually fine, varies by person |
| Physical task + cognitive task (walking + phone call) |
Low |
Generally fine |
| Two physical automatic tasks (folding laundry + listening to a podcast) |
Very low |
Fine |
| Meeting + email/Slack |
High |
Avoid — produces poor output on both |
| Reading + background TV |
Moderate to high, task-dependent |
Usually degrades comprehension |
The pattern across the table: automatic, well-practiced tasks tolerate combination; tasks requiring active attention and working memory do not.
Building a single-tasking habit
Environment design beats willpower here. Closing extra browser tabs, turning off notification badges, and physically separating devices used for deep work from devices used for messaging all remove the trigger for a switch before it happens, rather than relying on resisting the urge once it appears. This connects directly to decision fatigue: every switch is also a small decision about what to attend to, and reducing switches reduces decision load along with attention cost.
Time-blocking — dedicating a specific block to one task with switching explicitly disallowed — tends to work better than a vague intention to "focus more." The block creates a boundary that is easier to defend than an unstructured commitment.
Common mistakes
- Confusing busy with productive. Rapid switching between many tasks can feel highly productive because of the sense of motion, even when total output is lower than a single-tasked approach would produce.
- Trying to eliminate switching entirely. Some tasks genuinely require checking in on multiple things (monitoring a live incident, managing a support queue); the goal is removing unnecessary switching, not all switching.
- Multitasking during learning. Task-switching while trying to learn new material is particularly costly, since encoding new information already demands significant attention on its own.
FAQ
Is multitasking ever actually more efficient?
For combinations of one automatic task and one cognitive task — walking and thinking, folding laundry and listening — yes, roughly. For two tasks that both require active attention, the evidence consistently favors doing them sequentially.
Why does multitasking feel productive if it is not?
The sense of constant motion and the dopamine hit of switching to something new both create a subjective feeling of productivity that does not track actual output quality or speed.
Are some people better at multitasking than others?
There is individual variation, but claims of being an exceptional multitasker should be treated skeptically — self-assessment in this area is notoriously unreliable, and few people are meaningfully better than average at true parallel cognitive processing.
Does single-tasking mean no interruptions ever?
No. It means designing your environment and schedule to reduce unforced, low-value switching, while still allowing for genuinely necessary interruptions like emergencies or time-sensitive requests.
Where to go next