The Toggle Tax: Why App-Switching Is Silently Killing Your Productivity
A phrase that keeps showing up in tech press: toggle tax. It was coined in the Harvard Business Review in August 2022, and it names something every worker already feels but nobody had given a name to: the quiet cost of jumping between apps all day.
That HBR study — by researchers Rohan Narayana Murty, Sandeep Dadlani, and Rajath B. Das — analyzed 3,200 days of work logs from 137 people at three Fortune 500 companies. Employees switched between applications roughly 1,200 times per day, costing just over two seconds per switch. Scaled up, that is nearly 9% of the workweek — about five full weeks a year — spent purely on reorientation.
That is not exhaustion. That is a tax. And it is one of the real reasons AI spending keeps rising while productivity barely moves.
Why “SaaS is dying” is the wrong story
Because agents can now reach the same data as any app, some people predicted a “SaaSpocalypse” — the idea that software companies would vanish once AI could do what apps do.
But the apps were never the value. The data, the business rules, the governance and the relationships inside them were. Gartner predicts that by 2028, 33% of enterprise software will include agentic AI, up from less than 1% in 2024. SaaS is not disappearing — it is becoming the operating system that gives agents the context they need to act reliably.
The question that matters is not “why do we need the app?” It is “what does the app become?”
The uncomfortable numbers behind the hype
- 62% of organizations are at least experimenting with AI agents — but only 39% report an EBIT impact at the enterprise level (McKinsey, The State of AI 2025).
- More than 40% of agentic AI projects are expected to be canceled by the end of 2027 (Gartner).
- Microsoft Work Trend Index research, as reported by Fortune, found only one in four employees see leadership alignment on AI.
Big deployments post impressive wins: reports that took a week now take minutes. Then momentum stalls. The reason is almost never the AI. It is that people are still the glue connecting systems together — copying an email into a CRM, pasting a number into a spreadsheet, re-typing a decision into a chat.
What the productivity J-curve means for a small business
Economists describe something called the productivity J-curve: transformative technology first dips, then climbs — but only after you redesign the work the technology supports. Buying AI is the dip. Redesigning the workflow is where the climb begins.
(If you read the term “toggle tax” in a Microsoft or Fortune article this year and assumed it was brand new — it wasn’t. The 2022 HBR research is where the numbers come from, and they have not needed inflation.)
You do not need to reinvent your business tonight. The practical path is:
- Pick one workflow that crosses multiple apps and has clear value — client intake, invoicing, weekly reporting.
- Map where the toggle tax hits it: where do you copy, paste, re-type, or re-open?
- Automate that step — an AI agent can bridge the gap between the form, the spreadsheet, and the email.
- Measure it, learn from it, then scale to the next workflow.
The rule to remember
The more capable agents become, the less useful “human glue” becomes. Your job is not to learn every button of every app. Your job is to stop acting as the connector — and let the tool connect.
One workflow. One toggle removed. That is the whole strategy.
📖 Looking for a longer framework? Digital Minimalism for Solo Creators: 5 Rules That Actually Work covers the habits to fix before you buy anything else.
Sources