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If you work in sales, marketing, or at an agency, you probably live inside Google Sheets. One small formula mistake can ripple through forecasts, ROAS models, or lead scoring sheets. Squaring numbers seems trivial—until you have 20 different tabs, each pulling new data daily, and someone copies the wrong formula.
Learning how to square in Google Sheets properly gives you control: clean variance calculations, precise CAC models, and solid A/B test analysis. Once you understand the basics—using ^, POWER(), and ARRAYFORMULA—you can trust the math underneath your growth decisions.
Now imagine delegating that whole layer of grunt work to an AI computer agent. Instead of you checking ranges, dragging fill handles, and fixing broken references, the agent opens Google Sheets, inserts and tests the squaring formulas, validates the outputs, and documents what changed. You stay focused on strategy, while the AI quietly safeguards the math that drives your revenue.
Before you automate anything, you need solid fundamentals. These manual methods are the building blocks your team — and your AI agent — will rely on.
This is the fastest way to square a number.
=A2^2 and press Enter.Google Sheets help on formulas: https://support.google.com/docs/answer/3093480
Pros:
Cons:
POWER is more explicit, which helps when your sheets get complex.
=POWER(A2, 2) and press Enter.You can also square a literal number: =POWER(8,2).
Official docs on POWER and other functions: https://support.google.com/docs/answer/3093480
Pros:
POWER(A2, C2).Cons:
^.
This mirrors the math definition directly.
=A2*A2 and press Enter.Pros:
Cons:
^ or POWER.
ARRAYFORMULA lets you square an entire column with a single formula.
A2:A. Click B2.=ARRAYFORMULA(IF(A2:A="",, A2:A^2))Docs on array formulas: https://support.google.com/docs/answer/3093275
Pros:
Cons:
Once you’re comfortable with the basics, you can remove some repetitive clicks using no-code automation. The goal: stop manually re-applying the same squaring logic every time new data appears.
=ARRAYFORMULA(IF(A2:A="",, A2:A^2)).This is simple but powerful for teams that repeat the same analysis patterns.
ARRAYFORMULA in the “Calculations” tab.Forms help: https://support.google.com/docs/answer/6281888
Pros:
Cons:
You can orchestrate more complex flows without writing code:
Example: Squaring values from a CRM export.
ARRAYFORMULA that squares incoming numbers in column B.Pros:
Cons:
At some point, the bottleneck is no longer the formula; it’s the human time spent wiring everything together, checking ranges, and fixing silent errors. This is where an AI computer agent shines.
Modern AI agents like those built on Simular’s technology don’t just call APIs — they actually operate your computer: opening Google Sheets in the browser, navigating menus, pasting formulas, validating results, and documenting what they did.
Workflow story:
You export a giant CSV from your ad platform every Monday. Instead of you:
=ARRAYFORMULA(IF(A2:A="",, A2:A^2)) in the right column,you hand this entire playbook to an AI agent.
The agent can:
Pros:
Cons:
Simular Pro is designed to run long, reliable workflows — thousands to millions of steps — which is perfect when squaring is just one part of a much larger analytics pipeline.
Example:
Because each action is transparent and inspectable, you can see exactly how the agent wrote formulas, which ranges it used, and how it verified results. If something looks off, you tweak the instructions once, and future runs inherit the fix.
Pros:
Cons:
If your data pipeline is already automated, you can connect it to an AI agent with a webhook:
Now “how to square in Google Sheets” stops being a question your team has to think about. It becomes a background capability — executed the same way, every time, by an AI computer agent that never gets tired, never forgets a range, and documents every step.
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