The Experiment
Electric bills have gotten 37% more expensive since 2020. So we wondered: Can ChatGPT, a free tool, actually help people understand where their money is going?
We spent a week testing ChatGPT with different types of electric bill scenarios to see:
- What it does well
- Where it completely fails
- Whether it’s actually useful or just hype
Spoiler: It’s surprisingly good at some things and utterly useless at others.
Here’s what we found.
Our Testing Methodology
We created hypothetical electric bill scenarios based on real data patterns:
Test Case 1: Standard residential bill (1,100 kWh, multiple line items)
Test Case 2: Time-of-use pricing plan
Test Case 3: Work-from-home scenario
Test Case 4: Solar feasibility question
Test Case 5: Appliance replacement decision
For each scenario, we:
- Fed ChatGPT realistic bill data
- Asked specific questions
- Verified its math independently
- Checked whether its advice was actionable
- Noted what it got right and wrong
Important: We used sample data, not real personal information. Never upload sensitive account details.
TEST #1: Can ChatGPT Calculate Your True Cost Per kWh?
What We Tested
Most electric bills have 5-8 different line items. We wanted to see if ChatGPT could calculate the all-in cost per kilowatt-hour.
Sample data we used:
Total bill: $243.56
Total usage: 1,089 kWh
Energy charge: $165.34
Delivery charge: $52.67
Customer charge: $12.95
Taxes/fees: $12.60
Our Prompt:
I’m trying to understand my electricity rate. Here’s my bill:
Total amount: $243.56
Total kWh: 1,089
Energy charge: $165.34
Delivery charge: $52.67
Monthly customer charge: $12.95
Taxes/fees: $12.60
What is my effective rate per kWh including all fees?
Show me the math.
What ChatGPT Did
Effective rate: $243.56 ÷ 1,089 kWh = $0.2237 per kWh
Breakdown:
– Energy: $0.1518/kWh
– Delivery: $0.0484/kWh
– Fixed fee: $0.0119/kWh
– Taxes: $0.0116/kWh
Total: 22.37 cents per kWh
We verified the math: Correct
What It Did Well:
- Accurate arithmetic
- Clear breakdown by component
- Showed methodology (we could verify it)
- Converted fixed fees to per-kWh cost
What It Couldn’t Do:
- Tell us if 22.37¢/kWh is high or low for our specific area
- Access current regional rate data
- Know if we’re on a competitive plan
Verdict:
Useful for: Understanding what you’re actually paying
Not useful for: Knowing if it’s a good rate
Replacement for: A calculator and 5 minutes of your time
This worked. ChatGPT is excellent at breaking down bills and giving you clear numbers.
TEST #2: Can ChatGPT Estimate Where Electricity Goes?
What We Tested
We gave ChatGPT typical home details to see if it could estimate usage breakdown.
Sample scenario:
– 1,800 sq ft home
– 2 adults
– Central AC (summer use)
– Electric water heater, 8 years old
– Work from home 5 days/week
– Total usage: 1,150 kWh/month
Our Prompt:
Based on this home profile, estimate where my 1,150 kWh is going by percentage. Be clear this is an estimate.
[Included all details above]
What ChatGPT Did
Estimated breakdown:
– Central AC: 50% (~575 kWh)
– Water heater: 17% (~200 kWh)
– Electric dryer: 8% (~90 kWh)
– Refrigerator: 5% (~60 kWh)
– Home office: 4% (~45 kWh)
– Lighting: 3% (~40 kWh)
– Other: 13% (~140 kWh)
We cross-referenced with DOE data: Mostly aligned with national averages
What It Did Well:
- Based estimates on typical appliance consumption
- Clearly labeled it as an estimate, not exact data
- Explained assumptions (LED lights, modern appliances)
- Provided useful context on what matters most
What It Couldn’t Do:
- Know if the specific AC unit is efficient or failing
- Account for poor insulation
- Measure actual appliance draw
- Know how hot the local climate actually is
Verdict:
Useful for: General sense of what probably uses the most power
Not useful for: Exact measurements
This was helpful as a starting point but shouldn’t be trusted for specific decisions.
TEST #3: Can ChatGPT Compare Electricity Plans?
What We Tested
In deregulated markets, there are dozens of plan options. We tested if ChatGPT could do comparison math.
Sample plans:
Plan A: $0.149/kWh flat, $9.95/month fee
Plan B: $0.189/kWh energy + $0.048/kWh delivery, $12.95/month fee
Plan C: Peak $0.279/kWh (2-7pm), Off-peak $0.089/kWh, $4.95/month fee
Usage: 1,100 kWh/month
Pattern: Work from home, use AC during peak hours
Our Prompt:
Compare these 3 electricity plans for 1,100 kWh/month usage. I work from home and use about 40% of my power during peak hours (2-7pm).
Which is cheapest? Show the math.
What ChatGPT Did
Plan A: (1,100 × $0.149) + $9.95 = $173.85/month
Plan B: (1,100 × $0.189) + (1,100 × $0.048) + $12.95 = $273.65/month
Plan C:
– Peak: 440 kWh × $0.279 = $122.76
– Off-peak: 660 kWh × $0.089 = $58.74
– Fee: $4.95
Total: $186.45/month
Cheapest: Plan A ($173.85)
Plan C would need <30% peak usage to beat Plan A
We verified: Math is correct
What It Did Well:
- Accurate calculations
- Compared apples-to-apples
- Explained why time-of-use didn’t work for this pattern
- Showed threshold where Plan C would be better
What It Couldn’t Do:
- Access real-time plan availability
- Know your exact peak/off-peak split (we had to estimate)
- Alert you to plan fine print or cancellation fees
- Tell you if providers are reliable
Verdict:
Useful for: Doing the comparison math once you find plans
Not useful for: Finding plans or knowing exact usage patterns
Replacement for: Excel and 15 minutes of manual calculation
This was legitimately helpful if you’re willing to input plan details from your state’s comparison website.
TEST #4: Can ChatGPT Do Solar Feasibility Analysis?
What We Tested
Solar companies give you complex quotes. We tested if ChatGPT could do preliminary math.
Sample scenario:
Location: North Carolina
Roof: Southwest, minimal shade
Usage: 1,100 kWh/month
Rate: $0.149/kWh
Home during day: Yes (WFH)
Our Prompt:
Should I consider solar panels?
Location: North Carolina
Monthly usage: 1,100 kWh
Current rate: $0.149/kWh
Southwest roof, full sun
Work from home during the day
Give me preliminary numbers: system size needed, rough cost after tax credit, and major factors to research.
What ChatGPT Did
Preliminary assessment:
System size: 7-8 kW (20-24 panels)
Rough cost before credits: $20,000-28,000
After 30% federal credit: $14,000-19,600
Being home during day = beneficial
(You use power as generated vs. selling back)
Critical factors to research:
1. Your utility’s net metering policy
2. Whether they pay wholesale or retail for excess
3. Roof condition (replacement before solar?)
4. Whether HOA allows panels
This is preliminary – get actual quotes.
We researched: Cost ranges were consistent with 2026 national averages
What It Did Well:
- Reasonable ballpark estimates
- Identified the most important variable (net metering)
- Explained why working from home matters
- Clearly labeled as preliminary, not a quote
What It Couldn’t Do:
- Know specific local installer pricing
- Access current state/local incentive programs
- Calculate exact production based on roof angle/weather
- Know your utility’s actual net metering terms
Verdict:
Useful for: Deciding whether to research further
Not useful for: Actual solar decisions
Replacement for: Initial research phase only
This helped frame the right questions to ask solar companies, but can’t replace actual quotes.
TEST #5: Can ChatGPT Analyze Appliance Replacement ROI?
What We Tested
Should you replace an old appliance? We tested ChatGPT’s payback calculation.
Sample scenario:
Current: 12-year-old refrigerator, estimated 110 kWh/month usage
Replacement: Energy Star model, 404 kWh/year = 34 kWh/month
Cost: $850 new, or $350 used
Rate: $0.149/kWh
Our Prompt:
Help me decide if I should replace my old fridge.
Current usage: 110 kWh/month
New model usage: 34 kWh/month
My rate: $0.149/kWh
New fridge cost: $850
Used option: $350
Calculate monthly savings and payback period for both options.
What ChatGPT Did
Current cost: 110 kWh × $0.149 = $16.39/month
New cost: 34 kWh × $0.149 = $5.07/month
Monthly savings: $11.32
Payback periods:
– New ($850): 75 months (6.3 years)
– Used ($350): 31 months (2.6 years)
Recommendation:
If new fridge lasts 12 years, you save ~$790 net
If used lasts 8 years, you save ~$740 net
Risk: Used might fail sooner
Benefit: Used pays back 2.4x faster
We verified: Math is accurate
What It Did Well:
- Clear payback calculations
- Compared new vs. used options
- Explained net benefit over appliance lifetime
- Noted risk/benefit tradeoffs
What It Couldn’t Do:
- Know if the old fridge is actually using 110 kWh (need to measure)
- Predict if used fridge will last 8 years
- Account for repair costs of keeping old one
- Know if new model reviews are good
Verdict:
Useful for: Running the math once you have usage data
Not useful for: Measuring actual usage or predicting reliability
Replacement for: Financial calculator
The math was helpful, but you need real measurements first (Kill-A-Watt meter).
TEST #6: Can ChatGPT Calculate Work-From-Home Costs?
What We Tested
Many remote workers wonder what WFH actually costs them. We tested if ChatGPT could estimate it.
Sample scenario:
Before WFH: $145/month average
After WFH: $178/month average
Work schedule: 5 days/week, 8 hours/day
Equipment: Laptop, 2 monitors
AC: Run during work hours now (didn’t before)
Rate: $0.149/kWh
Our Prompt:
Calculate my work-from-home electricity costs.
Bill before WFH: $145/month
Bill after WFH: $178/month
Work 5 days/week, 8 hours/day
Office: Laptop + 2 monitors
I now run AC during work hours
Rate: $0.149/kWh
Break down what’s actually attributable to work.
What ChatGPT Did
Total increase: $33/month
Breakdown:
Office equipment: ~$3/month
– Laptop (50W): 8 kWh/month
– Monitors (60W): 10 kWh/month
– Misc: 2 kWh/month
Climate control: ~$15-22/month
– Running AC during work hours
– Seasonal variation
Other (lunch, coffee): ~$5/month
Work-attributable: $23-30/month ($276-360/year)
Note: Some increase would happen anyway (timing shift, not new usage)
We checked against WFH studies: Aligned with reported 10-15% bill increases
What It Did Well:
- Separated direct (equipment) from indirect (AC) costs
- Gave reasonable estimates for each category
- Noted seasonal variation
- Acknowledged some costs are hard to attribute
What It Couldn’t Do:
- Know your exact AC efficiency
- Access your hour-by-hour meter data
- Account for behavioral changes (more loads of laundry, etc.)
- Tell you what your employer should reimburse
Verdict:
Useful for: Ballpark estimate for reimbursement discussions
Not useful for: Exact calculations or legal/HR advice
Replacement for: Rough back-of-envelope math
Good enough for a conversation with your employer, but acknowledge it’s an estimate.
TEST #7: Can ChatGPT Prioritize Energy-Saving Actions?
What We Tested
There are 100 articles about saving electricity. We tested if ChatGPT could separate signal from noise.
Sample scenario:
Usage: 1,050 kWh/month
Bill: $210/month
Rate: $0.20/kWh
Considering:
1. Unplugging phone chargers
2. Thermostat from 72°F to 75°F
3. Replacing 12-year-old fridge
4. LED bulbs (5 remaining incandescent)
5. Power strip for office equipment
Our Prompt:
Rank these by actual impact (high/medium/low):
[Listed all 5 actions above with context]
Be honest about what’s worth doing vs. what’s basically pointless.
What ChatGPT Did
HIGH IMPACT:
1. Thermostat 72→75°F: $25-40/month
Each degree saves 3-5% on AC
2. Replace fridge: $10-18/month
Old fridges use 3-4x more power
MEDIUM IMPACT:
3. LED bulbs: $3-5/month
Worth doing, small cost
4. Office power strip: $4-8/month
If you actually use it daily
LOW IMPACT:
5. Unplug chargers: $0.30-0.50/month
Not worth the mental effort
Priority: Do #1 and #2, maybe #3/#4, ignore #5
We cross-referenced with energy research: Percentages were accurate
What It Did Well:
- Ranked by actual impact
- Called out what’s basically pointless (chargers)
- Explained the reasoning
- Suggested priorities
What It Couldn’t Do:
- Know if your AC is efficient or ancient
- Account for your climate (Phoenix vs. Portland)
- Know your actual insulation quality
- Guarantee specific savings amounts
Verdict:
Useful for: General prioritization framework
Not useful for: Personalized recommendations
Replacement for: Common sense + research
This was surprisingly helpful with all the articles yelling at us to “unplug everything!”.
What ChatGPT Is Actually Good At
After all our testing, here’s what ChatGPT does well:
Excellent At:
- Math – Calculating effective rates, comparing plans, payback periods
- Explanations – Breaking down confusing utility jargon
- Comparisons – Running scenarios side-by-side
- Estimates – Ballpark numbers based on national averages
- Frameworks – Helping you ask the right questions
Terrible At:
- Real-time data – Current rates, available plans, incentive programs
- Measurements – Actual appliance usage (you need meters for this)
- Guarantees – Specific savings amounts
- Local knowledge – Utility-specific policies, installer pricing
- Predictions – Whether an appliance will last 5 vs. 10 years
In Conclusion: When You Should (and Shouldn’t) Use ChatGPT
Use ChatGPT When:
- You need to understand your bill’s line items
- You’re comparing 2-3 electricity plans and need math help
- You want a rough estimate of where power is going
- You need payback calculations for appliance upgrades
- You want to prioritize what’s worth your time
Don’t Use ChatGPT When:
- You need exact measurements (get a Kill-A-Watt meter)
- You’re making a major decision like solar (get real quotes)
- You need current plan availability (check your state’s site)
- You want guaranteed savings (nothing can promise this)
- You need professional advice (consult with an energy expert)
Our Thoughts
ChatGPT is a calculator that can explain itself.
It won’t:
- Magically lower your bill
- Replace professional energy audits
- Know your utility’s current rates
- Guarantee any specific results
It will:
- Do math accurately
- Explain utility jargon clearly
- Help you compare options quickly
- Point you toward what actually matters
Is it useful? Yes, as a free research tool.
Is it sufficient? No, for major decisions.
Is it worth trying? Absolutely—5 minutes costs you nothing.
If You Want to Test It Yourself
Start with the simplest prompt:
I’m trying to understand my electricity rate.
Total bill: $[your amount]
Total kWh: [your usage]
Energy charge: $[if shown]
Delivery charge: $[if shown]
Other fees: $[if any]
What is my effective rate per kWh?
Show me the math.
Type your actual numbers. Don’t upload sensitive account information.
See what it tells you. Verify the math.
Then decide if you want to go deeper with the other tests we ran.
ChatGPT won’t solve your electric bill problems. But it might help you understand them better. And that’s a useful starting point.
