Showing posts with label AI Tools. Show all posts
Showing posts with label AI Tools. Show all posts

Sunday, September 20, 2026

Is ChatGPT Getting Worse? What the Data and Users Show

ChatGPT can get better on benchmarks and worse at a task you rely on. Both can be true. A newer model might solve harder coding problems while producing writing you dislike, overlooking an instruction or taking more corrections to finish familiar work. The evidence does not support a simple, continuous decline. It does show that updates can introduce real regressions—and that stronger overall scores do not guarantee a better everyday experience.

Updated September 20, 2026. This article separates independent evaluations, OpenAI's own reports and user-experience complaints.

Quick answer: ChatGPT is improving on some measured capabilities, but it is not becoming uniformly better for every user. Judge an update by factual accuracy, instruction following and the amount of correction your actual work requires. There is no single reliable percentage describing how often all ChatGPT answers are wrong.

Table of Contents

Is ChatGPT getting worse analysis

Is ChatGPT Getting Better or Worse?

The answer depends on what you measure. Solving a difficult problem, reliably following a brief and writing in a voice you enjoy are different abilities. An update can improve one without improving the others.

Imagine that your old workflow produced a usable newsletter after one edit. A newer model scores higher on a coding test but now needs five corrections to stop using stock phrases. For your newsletter, that is a practical decline. It does not establish that the model has become worse at coding or mathematics.

The reverse also matters: one bad answer does not prove a general regression. To establish a trend, compare repeated attempts on similar tasks under comparable conditions.

What the Data Actually Shows

September 2026: Measurable Gains, With Some Trade-offs

In its September 9 evaluation, Artificial Analysis reported that GPT-6 Astra gained six points over GPT-5.6 Sol on its Intelligence Index. But it also reported a roughly 45-point Elo decline on GDPval-AA v2, an evaluation of professional tasks, and lower presentation-quality results in AA-Briefcase.

These are results from the configurations and evaluation environments tested, not a score for every ChatGPT conversation. They support a more useful conclusion than either “everything improved” or “everything got worse”: improvements can coexist with weaknesses on particular tasks.

OpenAI's Factuality Tests Measure a Different Question

The GPT-5.6 system card reports slightly fewer factual errors for Sol than GPT-5.5, with a larger reduction in reproducing specific errors users had flagged. OpenAI explicitly says these examples were selected for being error-prone. They are not a representative sample of everyday conversations.

That distinction prevents an easy mistake: a result on difficult, previously failed questions cannot tell you the overall likelihood that an ordinary answer will be wrong.

A Bad Behavioral Update Has Been Documented

In April 2025, OpenAI rolled back a GPT-4o update after it made responses excessively agreeable and flattering. This behavior is called sycophancy. The episode establishes that an update can make the product less useful even when it was intended to improve the experience.

It also gives user reports an appropriate role: complaints can reveal a specific failure worth investigating. Their existence alone does not establish how common that failure is across all users.

The Famous Stanford/Berkeley Study Is Historical Evidence

A 2023 study by Lingjiao Chen, Matei Zaharia and James Zou compared March and June versions of GPT-3.5 and GPT-4. It found changes in instruction following, code formatting and other tasks, with improvements in some areas and declines in others.

This demonstrates why ongoing evaluation matters. It does not measure the quality of ChatGPT in September 2026. Presenting a three-year-old result as proof of a current collapse would be misleading.

How Often Is ChatGPT Wrong?

The sources reviewed here do not establish a single error rate for all ChatGPT use. A useful percentage must identify the model, task, tools, settings and grading method. It must also explain what counts as an error: one incorrect detail, a wholly wrong answer, an unsupported citation or failure to follow instructions.

Checking a supplied invoice is different from recalling an obscure historical fact. A sourced answer can still misread its source. A polished paragraph can contain one consequential mistake. Combining these into one accuracy number hides the distinctions a reader needs.

What Did the “86% Hallucination Rate” Actually Mean?

Artificial Analysis's April 2026 GPT-5.5 evaluation reported 57% accuracy and an 86% hallucination rate for its xhigh configuration on AA-Omniscience. Those percentages use different denominators.

The benchmark's published methodology defines accuracy across all questions. Its hallucination rate measures incorrect answers among responses that were not correct, including partial answers and questions the model did not attempt:

Hallucination rate = incorrect ÷ (incorrect + partial answers + not attempted).

For illustration, if a model answers 60 of 100 questions correctly, answers 30 incorrectly and declines 10, its accuracy is 60%, but this hallucination rate is 75%: 30 divided by 40. This is a hypothetical example, not a ChatGPT test result.

So the reported 86% did not mean that 86% of ordinary ChatGPT answers were false. It highlighted a tendency to give incorrect answers rather than withhold an answer when the model could not answer correctly.

In September, Artificial Analysis reported a decrease in this metric from 92% for GPT-5.6 Sol to 51% for GPT-6 Astra at max effort, alongside improved accuracy. That is encouraging within this test. It still does not supply an everyday ChatGPT error rate.

For more on fabricated claims and references, see What Is a Hallucination in AI?

Why ChatGPT May Feel Worse

The Model or Experience You Preferred Changed

ChatGPT is a changing service. OpenAI's retirement announcement set February 13, 2026 as the removal date for GPT-4o and several older models from ChatGPT. It acknowledged that some users preferred GPT-4o's conversational warmth and creative ideation.

A preference for that style is not a misunderstanding of benchmarks. Tone, pacing and creative choices are part of the product's usefulness.

More Capable Does Not Necessarily Mean Easier to Direct

OpenAI's GPT-6 Astra developer guidance describes behavior that can create friction: asking questions when users expect the model to proceed, sensitivity to instructions in supporting files, and recurring phrasing. This is model guidance for developers, not proof that every ChatGPT user experiences these problems.

It illustrates why “intelligence” is too broad a diagnosis. The failure might concern initiative, competing instructions or style rather than inability to understand the subject.

Your Conversation May Contain Competing Directions

Consider a chat where you first requested a short summary, later asked for a detailed report and then returned to an earlier draft. If the answer keeps reverting to the short version, a clean conversation containing only the current brief is a useful diagnostic test.

This is a possible explanation, not an excuse for ignoring a clear correction. If the failure persists with a short, unambiguous prompt, record it as an instruction-following problem.

Your Standard for a Useful Answer May Have Changed

You may now notice errors you missed when the tool was new, or ask it to do more demanding work. That does not invalidate frustration. It means a fair comparison should use the same task, not compare today's difficult project with a memorable easy answer from last year.

Common ChatGPT Complaints and What to Check

The following are troubleshooting categories, not a survey of how frequently users encounter each problem.

Complaint Useful check What it tells you
It ignores my corrections. Try the same task in a new chat with three explicit requirements. A repeated failure is stronger evidence than one confused conversation.
It repeats itself or sounds generic. Provide a short style example and identify the exact unwanted pattern. You can separate a style mismatch from missing knowledge.
Answers are too short. Specify required sections, examples and completeness. Check whether it supplies the requested substance, not just more words.
It confidently invents facts. Open the cited source and locate support for the claim. A real link does not guarantee the claim is supported.
It agrees with a false premise. Ask it to assess the premise against a supplied source. Agreement is not independent verification.
It refuses a legitimate task. Clarify the purpose and exact scope without changing the underlying task. A refusal and an incorrect answer are different failure types.
It gets worse halfway through a project. Restart from a concise record of current decisions. This tests whether accumulated context contributes to the problem.

Writing, Coding and Research: Judge Them Separately

Writing and Editing

Evaluate whether the response preserves your meaning, follows your voice and respects the brief. A fluent rewrite that removes a crucial qualification is not an improvement. Save examples of writing you liked so you can compare concrete outputs rather than impressions.

Coding

Use working behavior as the test: does the change solve the problem, fit the existing code and pass relevant checks? A confident explanation of untested code should not count as success. Compare similar tasks in the same environment before concluding that coding performance has broadly declined.

Research

Check whether each important source exists, supports the attached claim and is current enough for the question. Ask for facts and interpretations to be separated. Neither a long reference list nor another chatbot's agreement independently validates an answer.

Everyday Conversation

A conversational tool can become less enjoyable without becoming worse at formal reasoning. If warmth, brevity or imaginative discussion is your main use, include that preference in your evaluation rather than treating it as irrelevant.

How to Test Whether ChatGPT Has Gotten Worse for You

Try this small comparison before repeatedly changing prompts or abandoning a workflow:

  1. Choose five to ten representative tasks. Use work you actually repeat, such as editing a paragraph, extracting information or fixing a small bug.
  2. Define success first. Write down the facts, format and constraints each answer must satisfy.
  3. Keep conditions comparable. Record the date, visible model or mode, available tools, source files and relevant custom instructions.
  4. Repeat each task in fresh chats. Three attempts can expose variability, although this remains a small personal test.
  5. Track correction effort. Count factual errors, missed requirements, follow-up prompts and minutes spent repairing the output.
  6. Compare with saved outputs or another available model. If you cannot access the old model or its original inputs, acknowledge that limitation.

This will not establish a worldwide trend. It can establish whether the tool is saving you less time on your own work—the question that matters when deciding how to use it.

How to Get Better Answers From ChatGPT

Start with a brief that describes the finished result. Include the audience, source material, non-negotiable requirements and an example where style matters. Remove old directions that no longer apply.

Try this prompt:

Complete the task using the material below. Follow these requirements: [list]. Preserve these facts: [list]. If a claim needs outside verification, identify it rather than inventing support. Make reasonable assumptions for minor choices and state them briefly. Ask a question only if the missing information would materially change the result. Before finishing, check the answer against the requirements.

For long work, use manageable stages such as source review, draft and final checks. For current factual questions, request current sources and inspect the important ones yourself. If the conversation keeps circling an abandoned approach, move the current brief into a fresh chat.

A self-check may catch omissions, but it is not independent fact-checking. Asking the same model whether it is certain is also not proof. Better instructions help expose failures; they do not remove the model's responsibility to follow a clear request or eliminate its limitations.

When to Try Another AI Tool

Try a second tool when the same well-defined task repeatedly fails, when you need a different writing style or when the correction work outweighs the time saved. Give both tools the same materials and success criteria.

Choose the output that actually meets your requirements, then verify important claims against the underlying sources. For factual disagreements, the deciding evidence should be the documents, calculations or tests—not a vote between chatbots.

The Verdict: Capability and Reliability Are Different Questions

The evidence supports neither a universal collapse nor a promise that every update is an upgrade for every user. Documented regressions exist, and some newer evaluations show gains alongside declines.

For a reader asking “Is ChatGPT getting worse?”, the useful test is concrete: Does it complete your work correctly, follow your instructions and require less repair? If those results deteriorate consistently, your workflow has become worse even if a headline benchmark improves.

Frequently Asked Questions

Is ChatGPT getting worse in 2026?

Not uniformly. The evaluations reviewed here show improvements in some capabilities and declines in others. A particular workflow can become less reliable without demonstrating that every use of ChatGPT has deteriorated.

Is ChatGPT getting better or worse at answering questions?

Specify the kind of question. A model's score on difficult knowledge tests does not establish its accuracy when summarizing your file or researching today's news. Judge the relevant task and check the supporting evidence.

How often is ChatGPT wrong?

There is no single rate established by these sources for all ChatGPT conversations. Error rates depend on the model, task, tools and definition of an error. Always check what a benchmark percentage actually measures.

Why does ChatGPT ignore instructions and repeat itself?

Possible contributors include competing directions, accumulated conversation context and model behavior. Try a fresh chat with a short, specific brief. If the same failure persists, treat it as a reproducible problem rather than assuming you need an increasingly elaborate prompt.

Does a confident answer mean ChatGPT checked the facts?

No. Confident wording is not evidence that a claim was verified. Ask for the supporting source, open it and check whether it actually supports the answer.

Should I pay for ChatGPT if the answers feel worse?

Base the decision on your own repeated tasks. Compare usable results and correction time with the tools you already have. A subscription is valuable to you only if the access and features you use justify the cost.

Sources and Methodology

This is an evidence review, not an original benchmark or a representative survey of ChatGPT users. Numerical results are attributed to the organizations that published them. User-experience examples and troubleshooting suggestions are illustrative, not estimates of how often problems occur.

Evaluations can differ in model settings, tools, task selection and grading. Compare models within the same reported evaluation; do not combine scores from different versions of a benchmark into a single trend line. API and coding-agent results should not be treated as direct measurements of every ChatGPT mode.

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Wednesday, July 22, 2026

Can AI Really Do Your Taxes? Simple Returns, Complex Cases and the Risks

Can AI Really Do Your Taxes? Simple Returns, Complex Cases and the Risks

Can AI Really Do Your Taxes? Simple Returns, Complex Cases and the Risks

AI can already help prepare a straightforward tax return, but that does not mean you should hand your financial life to a chatbot. Tax software can import forms, perform calculations, identify possible deductions and guide users through common filing situations. The danger begins when generative AI is asked to interpret complicated tax law, make assumptions about missing information or recommend aggressive positions without understanding the full facts. Simple returns are moving toward greater automation. Complicated returns still require verification, professional judgment and someone who can be held accountable when the answer is wrong.

Table of Contents

Can AI Really Do Your Taxes?

Can AI Really Prepare Your Taxes?

AI can assist with tax preparation, and software can already complete much of the mechanical work involved in many individual returns. It can import tax documents, ask interview questions, calculate totals, transfer information between forms and electronically submit a completed return.

That is different from giving a general-purpose AI chatbot your income information and asking it to determine what you owe.

Tax preparation combines several different jobs:

  • Collecting complete financial information
  • Classifying income and expenses correctly
  • Applying current federal and state tax rules
  • Identifying missing forms and inconsistencies
  • Calculating taxes, deductions and credits
  • Choosing between legally supportable alternatives
  • Signing and filing the return
  • Responding if the return is questioned later

AI is increasingly capable at the first five tasks. It is much less dependable when facts are ambiguous, the law requires judgment or the position may need to be defended during an audit.

The realistic answer: AI can help complete a tax return. It cannot guarantee that the information you supplied was complete, that its interpretation was legally correct or that the IRS will accept the position it recommended.

Tax Software and AI Chatbots Are Not the Same

Much of the confusion surrounding AI tax preparation comes from treating every form of tax technology as though it works the same way.

Type of Tool How It Works Primary Risk
Traditional tax software Uses programmed tax rules, form instructions and guided questions to prepare a return Incorrect user input, unsupported situation or misunderstood interview question
AI-enhanced tax software Adds document recognition, natural-language explanations, recommendations and error detection AI-generated advice may sound authoritative even when it misses an exception
General-purpose chatbot Generates answers from broad training data and any information provided by the user Hallucinated rules, outdated information, missing context and serious privacy exposure
Professional tax platform with AI Helps a CPA, enrolled agent or tax attorney research, organize and review a client's information The professional may rely too heavily on the output or fail to independently verify it

Traditional tax software is built around forms, calculations and tax rules. Generative AI produces language and recommendations. It predicts what an appropriate answer should look like, but prediction is not the same as proving that a tax position is correct.

The Taxpayer Advocate Service has warned that AI assistants may struggle to interpret complex tax laws or account for unique circumstances. It recommends that taxpayers not rely solely on AI-generated tax advice.

Do not confuse a confident explanation with a correct tax determination. A chatbot can describe a deduction clearly while overlooking an income limit, filing-status restriction, holding-period rule, state-law difference or special exception that changes the result.

What Counts as a Simple Tax Return?

A relatively simple return generally involves clearly documented income and few unusual decisions. Examples may include:

  • One or two Form W-2 wage statements
  • Limited bank interest reported on Form 1099-INT
  • No business or rental activity
  • No cryptocurrency transactions
  • No foreign income or foreign accounts
  • No complicated stock sales
  • No multiple-state filing requirement
  • Using the standard deduction
  • No disputed dependent or filing-status issue

Guided software is well suited to this type of return because the taxpayer is mainly transferring information from standardized documents into standardized forms.

Even apparently simple returns can contain traps. Marriage, divorce, a new child, marketplace health insurance, unemployment benefits, college expenses, a home purchase or a move between states can introduce rules that are easy to overlook.

A short return is not automatically a simple return. A taxpayer may have only a few forms but still face a difficult question about dependency, residency, filing status, tax credits or whether income belongs on the return.

What Makes a Tax Return Complicated?

A return becomes complicated when the software must do more than transfer clearly identified numbers. Complexity grows when the correct treatment depends on facts, documentation, elections, estimates or interpretation.

Self-Employment and Gig Work

A self-employed taxpayer must identify business income, separate personal and business expenses, evaluate home-office eligibility, calculate depreciation and pay self-employment tax.

An AI assistant may identify possible deductions but cannot know whether an expense was genuinely ordinary, necessary and properly documented.

Rental Property

Rental returns can involve depreciation, repairs versus improvements, passive-activity limitations, personal-use days, security deposits and the allocation of shared expenses.

A wrong classification may affect several future returns, not only the year in which the mistake was made.

Stocks, Options and Cryptocurrency

Investment returns may involve missing cost basis, wash sales, employee stock compensation, option exercises, restricted stock, cryptocurrency exchanges and transactions spread across several platforms.

AI cannot calculate a trustworthy gain when the source records are incomplete or inconsistent.

Multiple States

Living in one state, working in another or moving during the year can create residency, allocation and tax-credit questions. State rules do not always follow federal treatment.

Foreign Income and Accounts

Foreign wages, pensions, bank accounts, investments, businesses and gifts may trigger specialized reporting requirements. Penalties for missing certain international information returns can be severe even when little or no additional tax is owed.

Business Entities

Partnerships, S corporations, C corporations and multi-member businesses require decisions about compensation, distributions, basis, ownership allocations and transactions between the owner and the business.

A general chatbot should not be treated as the final authority for these returns.

Estates, Trusts and Inheritances

The treatment of inherited property may depend on basis adjustments, valuation dates, trust terms, distributions and the type of income received.

IRS Notices, Audits and Amended Returns

Once the IRS questions a return, the issue is no longer merely data entry. The taxpayer may need to reconstruct records, interpret the notice, identify the legal issue and present evidence supporting the reported position.

Tax Situation AI Assistance Level Human Review
W-2 income and standard deduction Strong Review entries before filing
Common interest and dividend income Strong when forms are complete Check imported amounts and account ownership
Common education or dependent credits Moderate Verify eligibility rules and supporting records
Basic sole-proprietor income and expenses Moderate Review classifications and deductions carefully
Rental property and depreciation Limited without complete history Professional review strongly advisable
Stock options or complicated investments Limited Specialist review may be necessary
Foreign income, accounts or entities High risk Use a qualified international-tax professional
Partnership or corporate return Useful as an assistant Do not rely on unsupervised chatbot preparation
Audit, appeal or disputed tax position Research and organization only Qualified representation may be essential

What AI Can Do Well

Import and Organize Tax Documents

AI can extract information from W-2s, 1099s, receipts and statements. It can classify documents, identify duplicates and flag apparently missing fields.

Perform Calculations

Established tax software is generally effective at mathematical calculations when the correct information has been entered into the correct fields.

The greater risk is not arithmetic. It is whether the taxpayer or software selected the correct tax treatment before performing the calculation.

Ask Follow-Up Questions

An AI-guided interview can adapt its questions based on earlier answers. This may help taxpayers identify forms or credits they did not know existed.

Explain Tax Terms

AI can translate technical instructions into plain language and explain terms such as adjusted gross income, tax credits, basis and depreciation.

These explanations are useful for education but should be checked against current IRS instructions when they affect the actual return.

Identify Inconsistencies

AI can flag a dependent whose age appears inconsistent, expenses that differ significantly from prior years or income documents that do not match imported records.

Draft Questions for a Tax Professional

AI can help organize a situation and create a list of questions to discuss with a CPA, enrolled agent or tax attorney. This can make professional consultations more efficient.

Support Professional Review

Within a controlled tax practice, AI can summarize documents, research authorities, compare tax treatments and identify transactions requiring closer attention.

The safest role for tax AI is assistant, not decision-maker. Use it to organize, calculate, explain and flag issues. Do not assume it can independently determine every relevant fact or defend the return later.

Where AI Tax Preparation Can Fail

It Can Invent Tax Rules

Generative AI can produce a nonexistent deduction, misstate an income limit or cite an authority that does not support its conclusion. This behavior is known as an AI hallucination.

Because tax explanations often contain technical language and numbers, an invented answer can look convincing enough to escape casual review.

It May Use Outdated Information

Tax laws, thresholds, forms and filing procedures change. An answer that was correct for one filing year may be wrong for the next.

The model may also mix federal rules with a state rule or apply a new provision to a year before it became effective.

It Does Not Know What You Forgot to Mention

AI only knows what it can access. If you omit a cash payment, foreign account, cryptocurrency wallet, prior depreciation schedule or important life event, it may prepare a logically consistent return from incomplete facts.

It Can Misunderstand Ambiguous Facts

Whether a worker is an employee or independent contractor, whether an activity is a business or hobby, and whether a person qualifies as a dependent can require a detailed factual analysis.

A small factual difference may change the legal result.

It May Recommend the Largest Refund Instead of the Most Defensible Return

Users naturally prefer an answer that reduces tax or increases a refund. An overly agreeable AI system may reinforce the interpretation the user wants instead of challenging it.

This creates particular risk when the suggested deduction or credit depends on facts that have not been verified.

It Cannot Inspect Original Evidence

A chatbot may accept a summarized description without recognizing that receipts, mileage records, contracts or ownership documents do not support it.

It Cannot Promise the IRS Will Agree

Tax law contains uncertain and disputed areas. A valid analysis may require comparing authorities, documenting assumptions and understanding the taxpayer's tolerance for audit risk.

Documented warning: The Taxpayer Advocate Service reported on an informal review in which tax-company chatbots initially gave inaccurate or irrelevant answers to as many as half of 16 complex tax questions. That was a small test, not a universal error rate, but it demonstrates why polished chatbot answers should not be treated as binding tax advice.

Who Pays When AI Gets Your Taxes Wrong?

The uncomfortable answer is usually the taxpayer.

The IRS states that taxpayers are ultimately accountable for the accuracy of every item reported on their returns. This remains true when a paid professional prepares the return.

A reputable paid preparer must generally:

  • Sign the return
  • Include a valid preparer tax identification number
  • Exercise applicable due diligence
  • Provide the taxpayer with a copy
  • Ask reasonable questions when information appears incomplete or inconsistent

A general-purpose AI chatbot does none of these things. It does not sign the return, hold a professional license or accept representation responsibilities.

Possible Costs of an Incorrect AI-Prepared Return

  • Additional tax
  • Interest on the unpaid amount
  • Accuracy-related or other penalties
  • Delayed refunds
  • Loss or repayment of credits
  • Cost of filing an amended return
  • Professional fees to correct the problem
  • Time spent responding to notices or an examination

Some commercial software offers calculation guarantees, but those guarantees vary. They may not cover incorrect facts supplied by the user, unsupported deductions, misunderstood interview questions or advice generated outside the protected filing product.

The liability problem will slow fully autonomous tax AI. Producing an answer is easy compared with deciding who is financially and professionally responsible when that answer creates an audit, penalty or missed reporting obligation.

The Tax-Data Privacy Problem

A complete tax return can contain nearly everything an identity thief needs:

  • Social Security numbers
  • Birth dates
  • Home addresses
  • Employer information
  • Bank account and routing numbers
  • Investment account details
  • Income and business records
  • Information about children and other dependents

Uploading these documents to an unapproved public chatbot can create serious privacy and security risks. Do not assume that every AI service provides the protections required of professional tax-preparation systems.

Questions to Ask Before Uploading Tax Information

  • Is the service specifically designed for tax preparation?
  • Is the data encrypted during transmission and storage?
  • Will submitted information be used to train an AI model?
  • Can employees or contractors view the data?
  • Is information shared with third parties?
  • Can the data be permanently deleted?
  • What happens if the company suffers a breach?
  • Does the service explain where data is stored?

Tax professionals have legal and regulatory obligations to safeguard client information. Federal rules also restrict how return preparers may use or disclose tax-return information.

Never paste an unredacted tax return, W-2, Social Security number, bank account number or identity document into a general public chatbot. For general questions, remove names, account numbers, addresses and every other identifying detail.

Will AI Replace Tax Preparers?

AI will reduce the amount of manual tax preparation, particularly for straightforward returns. It may also reduce demand for preparers whose main service is transferring numbers from familiar documents into standard forms.

It is less likely to replace professionals handling:

  • Tax planning before a transaction occurs
  • Business structures and owner compensation
  • Multi-state and international tax
  • Estates and trusts
  • Partnership and corporate returns
  • Tax audits, appeals and collections
  • Disputed classifications or valuations
  • Representation before the IRS
  • Situations with incomplete or conflicting records

The IRS notes that attorneys, CPAs and enrolled agents can represent taxpayers before the agency in audits, collections and appeals. A chatbot does not possess those representation rights.

The tax preparer's job is therefore likely to shift from entering data toward reviewing automated work, identifying missing facts, evaluating risk and defending conclusions.

This is part of the broader change covered in our guide to AI, accountants and the future of finance jobs.

Tax Work Likely Direction
Entering standard tax forms Increasingly automated
Routine calculations Already largely automated
Explaining common tax terms AI-assisted
Detecting missing documents Increasingly AI-assisted
Complex tax research AI-assisted with professional verification
Choosing a defensible position in a grey area Human professional remains responsible
Client representation during an audit Requires an authorized person
Accepting legal and professional accountability Human or regulated firm remains necessary

How to Use AI for Taxes More Safely

1. Use Tax-Specific Software

Use an established tax-preparation product rather than asking a general chatbot to create a finished return from raw documents.

2. Verify the Filing Year

Confirm that every answer, threshold, form and instruction applies to the tax year being filed—not merely the current calendar year.

3. Compare the Answer With an Official Source

Check important conclusions against current IRS forms, instructions, publications or other authoritative guidance.

4. Do Not Upload Sensitive Documents to Public AI

Redact names, Social Security numbers, addresses, account information and employer identifiers before using AI for general educational questions.

5. Ask What Facts Could Change the Answer

Instead of asking only, “Can I deduct this?” ask the AI to list every eligibility requirement, exception and missing fact that could change its conclusion.

6. Require Source Identification

Ask for the relevant form instructions, IRS publication, regulation or code section. Then open and read the cited material because AI can generate incorrect citations.

7. Review the Entire Return

Check names, Social Security numbers, filing status, dependents, income, bank information, credits and deductions before authorizing electronic filing.

8. Escalate Complex Situations

Use a qualified professional when the return involves a business entity, foreign assets, substantial investments, unusual compensation, rental depreciation, an IRS dispute or another high-risk issue.

9. Keep Supporting Records

An AI explanation does not prove a deduction. Retain the documents, receipts, logs, calculations and other evidence supporting the amounts reported.

10. Choose Someone Who Can Help Later

When hiring a preparer, consider whether that person will remain available if the IRS asks how the return was prepared.

What AI Tax Preparation May Look Like Next

Future tax systems are likely to become more automated, but the change will probably occur in stages rather than through one chatbot suddenly replacing every tax professional.

Automatic Document Collection

With permission, systems may collect wage statements, investment records, accounting data and prior-year information directly from approved sources.

Continuous Tax Estimates

Individuals and businesses may receive updated tax projections throughout the year instead of discovering the result during filing season.

AI-Generated Draft Returns

Software may prepare a complete draft, list assumptions and request supporting documentation for uncertain items.

Risk Scoring and Audit Warnings

Systems may compare the return with prior years, information reports and common examination issues to identify entries that deserve additional review.

Professional Review by Exception

Instead of preparing every line manually, tax professionals may review the small percentage of transactions that software flags as unusual, unsupported or legally ambiguous.

Limited Autonomous Filing

For highly standardized returns, taxpayers may eventually approve a nearly complete return produced from verified data. Complicated returns will remain harder to automate because the system must identify uncertain facts and choose positions that someone may later need to defend.

The likely model: Software prepares the draft, AI explains and checks it, the taxpayer confirms the facts, and a qualified professional reviews high-risk cases. That is less dramatic than a robot replacing every tax preparer—but far more realistic.

The Verdict

AI can genuinely help prepare taxes. For a taxpayer with complete wage documents, limited investment income and no unusual circumstances, modern software can already perform most of the mechanical work.

But complicated taxation is not merely a calculation problem. It is a fact-finding, classification, documentation and legal-judgment problem.

AI does not automatically know what the taxpayer forgot to disclose. It may not recognize that a small factual distinction changes the rule. It can confidently invent an authority, apply an outdated threshold or recommend a favorable position without asking whether the taxpayer can prove it.

The honest conclusion: AI will increasingly handle simple tax preparation and assist professionals with complicated returns. It should not be trusted as the sole decision-maker for complex tax issues until it can reliably identify uncertainty, verify every material fact and accept meaningful responsibility for the consequences of an incorrect return.

Until then, the safest approach is to use AI for organization, explanations and preliminary review while relying on tax-specific software, official instructions and qualified professionals for the final return.

Frequently Asked Questions

Can ChatGPT prepare my tax return?

ChatGPT can explain tax concepts, organize information and help identify questions, but a general chatbot should not be used as the sole preparer of a federal or state tax return. It may use outdated information, misunderstand your facts or generate an incorrect rule or citation.

Can AI file taxes directly with the IRS?

Approved tax software can transmit electronic returns after the taxpayer reviews and signs them. A general AI chatbot does not independently sign and file a return on the taxpayer's behalf.

What tax returns can AI handle most easily?

AI-assisted tax software is best suited to returns with complete standardized forms, wage income, limited interest or dividends, no complicated business activity and few unusual deductions or credits.

What tax situations should not rely on AI alone?

Use professional review for partnerships, corporations, foreign income, multi-state issues, rental depreciation, stock options, significant cryptocurrency activity, estates, trusts, audits and other situations requiring interpretation or specialized reporting.

Who is responsible if AI makes a tax mistake?

The taxpayer is ultimately accountable for the information reported on the return. A paid preparer may also have professional and legal responsibilities, but a general chatbot does not accept those obligations.

Is it safe to upload tax documents to an AI chatbot?

Do not upload unredacted tax documents to a general public chatbot. Tax records contain Social Security numbers, addresses, income information and bank details that could cause serious harm if exposed or misused.

Will AI replace CPAs and tax preparers?

AI will automate more data entry, calculations and standard-return preparation. Professionals will remain important for tax planning, complicated returns, disputed issues, representation and decisions requiring accountable judgment.

How can I check AI-generated tax advice?

Identify the filing year, locate the relevant IRS form instructions or publication, verify any cited authority and consult a qualified professional when the answer depends on complicated or disputed facts.

Sources and Methodology

This article distinguishes established tax-preparation software from generative AI chatbots. It does not assume that every automated calculation is artificial intelligence or that every tax question carries the same level of risk.

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AI Side Hustles That Actually Pay: A Realistic Guide

AI Side Hustles That Actually Pay: A Realistic Guide

AI can help you earn additional income, but it does not create a business automatically. Clients do not usually pay someone merely for using ChatGPT, Claude, Canva or an automation platform. They pay for a finished result: an organized workflow, an edited video, a working chatbot, accurate content or fewer hours of repetitive work. The strongest AI side hustles combine useful human skills with faster tools. The weakest rely on copied output, unrealistic income promises and services that almost anyone can reproduce in minutes.

Table of Contents

Realistic AI side hustles and freelance services

The Reality Behind AI Side Hustles

Businesses are hiring freelancers to help implement AI. Upwork's 2026 marketplace analysis found that demand for skills explicitly connected to AI grew considerably faster than demand for other skills.

Growth was especially strong in areas such as:

  • AI video generation and editing
  • AI integration and workflow automation
  • Data annotation and labeling
  • AI image generation and editing
  • Chatbot development

Fiverr has reported a similar pattern, with businesses seeking help in AI automation, video production, marketing and customer-facing workflows.

These numbers show that businesses are purchasing AI-related services. They do not show what a typical beginner earns, how many freelancers fail to find clients or how long it takes to build a dependable income.

The most important rule: Do not sell “AI.” Sell a specific result produced more efficiently with AI. A restaurant owner may pay for a customer follow-up system. A real estate agent may pay for edited property videos. A business owner may pay for a searchable internal knowledge base. The tool is not the service—the result is.

AI Has Lowered the Barrier to Entry

Many services that once required expensive software or advanced programming can now be started with affordable tools. A freelancer can draft content, generate a video prototype, analyze a spreadsheet or build a basic automation faster than before.

However, easier production also means more competition. When hundreds of people can offer the same basic service, clients can demand lower prices and faster turnaround.

Raw AI Output Has Little Competitive Value

Copying a prompt into a chatbot and forwarding the answer is not a durable business model. Clients can often do that themselves.

Your value must come from at least one additional layer:

  • Industry knowledge
  • Editing and quality control
  • Technical implementation
  • Fact-checking
  • Original research
  • Client communication
  • Customization
  • Responsibility for the completed work

What Clients Actually Pay For

Weak Offer Stronger Offer
“I use AI to write articles.” “I research, write, fact-check and update articles for local healthcare businesses.”
“I build AI automations.” “I automate lead follow-up and appointment reminders for real estate agents.”
“I make AI videos.” “I turn long training material into short employee onboarding videos.”
“I create chatbots.” “I build a customer-support chatbot using your approved product information.”
“I do AI marketing.” “I create and schedule one month of reviewed social content for local restaurants.”
“I provide AI consulting.” “I audit repetitive office tasks and implement one documented automation.”

The stronger offers identify:

  • A specific customer
  • A recognizable problem
  • A defined deliverable
  • A clear limit on the project
  • A result the buyer can evaluate

10 Realistic AI Side Hustles

1. Small-Business Workflow Automation

Many small businesses use email, spreadsheets, online forms, calendars and customer-management systems that do not communicate efficiently with each other.

A freelancer can use tools such as Zapier, Make or n8n to connect these systems and reduce repetitive work.

Possible services include:

  • Sending form submissions into a customer database
  • Creating automatic appointment reminders
  • Generating follow-up tasks after sales calls
  • Sending overdue-invoice reminders
  • Creating summaries from meeting notes
  • Routing customer questions to the correct employee

Best starting offer: Automate one small, measurable workflow. Do not promise to transform the client's entire company before you understand its systems, data and approval process.

What you need: Logical thinking, process mapping, testing and familiarity with the software used by your target clients.

Main risk: A poorly tested automation can send incorrect messages, expose private information or modify business records unexpectedly.

2. AI Video Production and Human Editing

Demand for AI-assisted video creation has grown quickly, but businesses still need people to plan, edit and review the finished content.

Possible services include:

  • Short product demonstrations
  • Employee training videos
  • Social-media clips
  • Video advertisements
  • Captioning and translation
  • Turning long interviews into short clips

AI can help generate scripts, captions, voices, backgrounds and initial edits. Human judgment remains necessary to correct pronunciation, remove visual mistakes, maintain brand consistency and ensure the video does not make unsupported claims.

What you need: Storytelling, editing, visual judgment and an understanding of platform formats.

Main risk: Using a person's face or voice without permission can create legal, ethical and reputational problems.

3. AI Chatbot and Knowledge-Base Setup

A useful business chatbot should answer questions from approved company information rather than inventing answers from general internet knowledge.

Possible projects include:

  • A frequently asked questions assistant
  • An internal employee-policy assistant
  • A product-selection guide
  • A lead-qualification assistant
  • A chatbot that helps users locate existing support material

The difficult part is not creating a chat window. It is cleaning the source material, setting boundaries, testing difficult questions and creating a process for updating outdated information.

What you need: Information organization, testing, prompt design and some knowledge of chatbot or retrieval platforms.

Main risk: The bot may give incorrect answers about prices, policies, warranties, healthcare, legal rights or other consequential issues.

4. Spreadsheet Cleanup and Reporting Automation

Small companies often have valuable information trapped in disorganized spreadsheets. AI and data tools can help standardize names, identify duplicates, classify entries and produce summaries.

Possible services include:

  • Cleaning customer lists
  • Combining monthly reports
  • Standardizing product records
  • Building recurring dashboards
  • Detecting duplicate invoices
  • Converting PDFs into structured tables

Fiverr reported growing searches for AI-supported data and spreadsheet services, including data cleaning and PDF-to-Excel work.

What you need: Strong spreadsheet skills, careful validation and knowledge of how the client uses the data.

Main risk: Automated cleanup may silently remove legitimate records or change numbers if the rules are poorly designed.

5. AI-Assisted Content Editing

Businesses still purchase blog articles, newsletters, product descriptions, reports and social content. However, selling unedited AI text is becoming increasingly difficult because clients can generate basic drafts themselves.

A stronger service includes:

  • Original research
  • Fact-checking
  • Subject-matter editing
  • Brand-voice consistency
  • Internal linking
  • Updating outdated pages
  • Improving clarity and structure

Google does not automatically reject content because AI helped create it. Its guidance focuses on whether content is useful, reliable and created for people. Producing many low-value pages with automation may violate Google's scaled-content-abuse policy.

What you need: Writing ability, research judgment and a clearly defined subject area.

Main risk: AI can invent statistics, quotations, studies, product features and sources. Every important claim must be checked.

6. Local-Business Marketing Support

Many local businesses need regular marketing material but cannot employ a full-time marketing team.

A focused monthly service might include:

  • Social-media posts
  • Email newsletters
  • Review-response drafts
  • Promotional flyers
  • Frequently asked questions
  • Seasonal campaign ideas
  • Basic photo and video editing

AI can accelerate drafting and design, but the freelancer must verify promotions, prices, dates, locations and claims before publication.

What you need: Marketing fundamentals, knowledge of a local industry and consistent client communication.

Main risk: Incorrect offers, misleading claims or reused images can create customer complaints and legal exposure.

7. AI-Enhanced Virtual Assistance

Virtual assistants can use AI to organize emails, summarize documents, draft routine replies, prepare meeting notes and maintain recurring administrative processes.

Possible specializations include:

  • Inbox and calendar organization
  • Meeting preparation
  • Customer follow-up
  • Research summaries
  • Document formatting
  • Customer database maintenance

The service becomes more valuable when the assistant understands the client's business and knows which decisions require approval.

What you need: Organization, discretion, communication and dependable follow-through.

Main risk: Giving a public AI system access to private email, customer records or confidential documents without proper authorization.

8. Resume and LinkedIn Profile Editing

AI can compare a resume with a job description, identify missing keywords and suggest clearer accomplishment statements. Human review remains important because AI often exaggerates responsibilities or adds skills the applicant does not possess.

A responsible service may include:

  • Resume restructuring
  • Job-specific keyword review
  • LinkedIn profile editing
  • Cover-letter drafting
  • Interview-question preparation

What you need: Strong editing, an understanding of hiring practices and the discipline not to invent credentials.

Main risk: Producing generic resumes or adding false claims that the applicant cannot defend during an interview.

9. Industry-Specific AI Training

Generic AI courses face heavy competition. Training becomes more useful when it is designed for one profession or business function.

Examples include:

  • AI research tools for accountants
  • AI drafting and verification for real estate agents
  • AI administrative support for medical offices
  • AI content workflows for nonprofit organizations
  • AI document organization for contractors

The trainer should understand both the profession and the limits of the tools. An accountant teaching other accountants how to review AI-generated summaries is more credible than a generalist promising to automate an entire accounting practice.

Our article on AI and the future of accounting jobs shows how domain expertise can become more valuable as routine work is automated.

What you need: Real experience in the field, presentation skills and practical examples.

Main risk: Teaching unsafe practices involving confidential information or overstating what AI can perform reliably.

10. AI-Assisted Research and Document Services

Businesses frequently need information collected, organized and summarized but do not need a full consulting engagement.

Possible services include:

  • Competitor comparisons
  • Vendor research
  • Meeting and interview summaries
  • Document organization
  • Policy comparisons
  • Research bibliographies
  • Frequently asked questions based on approved sources

AI can rapidly examine material, but the freelancer must confirm that the sources are current and that the summary accurately represents them.

What you need: Research discipline, source evaluation and clear writing.

Main risk: Presenting an AI-generated summary as legal, medical, tax or financial advice without qualified professional review.

Which Side Hustle Should You Choose?

Your Existing Strength Best AI-Assisted Direction
Writing and editing Content updating, newsletters, resume editing or research summaries
Spreadsheets and data Data cleanup, reporting and recurring spreadsheet automation
Video and design AI video production, editing and social-media packages
Administrative experience AI-enhanced virtual assistance and workflow documentation
Technical ability Automation, chatbot setup and system integration
Professional or industry knowledge Niche AI training, implementation and review services
Sales and marketing Local-business campaigns, lead systems and customer follow-up

Choose the boring problem: A service that saves a company five hours every week may sell more easily than an exciting AI product nobody needs. Start with a repetitive, expensive or frustrating problem you already understand.

How Much Can You Realistically Make?

There is no dependable universal income figure for an AI side hustle. Earnings vary according to:

  • Your existing skill level
  • The problem you solve
  • The clients you target
  • The quality of your portfolio
  • Your ability to find and retain clients
  • Your local market
  • The time available outside your main job
  • Software, platform and subcontractor expenses

A practical estimate starts with a simple calculation:

Monthly gross income = number of completed projects or clients × average amount collected.

Net income is lower after software subscriptions, platform fees, advertising, refunds, taxes and other business expenses.

For example, two recurring clients paying $500 each would produce $1,000 in monthly gross revenue. That does not mean the freelancer keeps the entire amount or that two clients will be easy to obtain.

Do Not Confuse Rates With Earnings

A profile may advertise a high hourly rate while receiving only a few paid hours. A project may appear valuable but require unpaid sales calls, revisions, software costs and support after delivery.

The better measure is the amount retained after all the time and expenses required to win and complete the work.

Start With a Testable Goal

A realistic first goal is not replacing a full-time salary. It is proving that one customer will pay for one clearly defined service.

After delivering the first project successfully, you can improve the process, collect a testimonial and determine whether the service is profitable enough to repeat.

How to Get Started

1. Choose One Customer Type

Select a group whose work you understand, such as real estate agents, contractors, restaurants, online stores, accountants or nonprofit organizations.

2. Identify One Repetitive Problem

Look for a task that consumes time every week, creates mistakes or delays customer follow-up.

3. Define One Deliverable

Create a package with clear limits. For example: “I will build and test one appointment-reminder workflow,” not “I will automate your company.”

4. Build a Demonstration

Create a sample using fictional or properly anonymized data. Show the problem, the process and the result.

5. Document the Human Review

Explain what the AI handles, what you verify and which decisions remain with the client.

6. Calculate Your True Cost

Include software subscriptions, platform fees, meetings, revisions, support and taxes before setting a price.

7. Complete a Small Paid Project

A limited paid project provides better evidence than spending months building a large product without customers.

8. Turn the Result Into a Case Study

With the client's permission, show what changed without exposing confidential data. Use measurements such as time saved, fewer missed inquiries or faster turnaround.

9. Improve Before Expanding

Fix the process, documentation and quality checks before adding more services or customers.

You can begin testing many of these ideas with the tools in our guides to the top AI tools you can use for free and the best free AI tools for education and side hustles.

How to Find Your First Clients

Start With People Who Already Trust You

Former coworkers, local businesses, professional contacts and community organizations may be more willing to discuss a small project than a stranger receiving a generic sales message.

Demonstrate a Specific Improvement

Instead of saying that AI can help a business, show a short example:

  • A revised customer-response workflow
  • A before-and-after spreadsheet
  • A sample training-video segment
  • A prototype knowledge-base assistant
  • A rewritten and fact-checked article section

Use Freelance Marketplaces Carefully

Upwork and Fiverr can help new freelancers discover what clients are purchasing. They also contain heavy competition, platform fees and low-price offers.

Study completed projects and client descriptions to understand real demand. Do not assume that a popular listing represents typical income.

Use Direct Outreach Without Spamming

Contact a limited number of carefully selected businesses with a message tied to an observable problem. Avoid sending hundreds of generic AI-generated emails.

Ask for Referrals After a Successful Project

A satisfied client may know another business with the same problem. A specific referral request is more effective than asking whether the client “knows anyone who needs AI.”

Copyright, Privacy and Accuracy Risks

AI-Generated Work May Have Limited Copyright Protection

The U.S. Copyright Office has stated that copyright protects human-authored expression. AI-assisted work may qualify when a person contributes sufficient creative authorship, but material generated entirely by AI is not protected merely because someone entered a prompt.

This matters when selling AI images, books, designs, music or other creative products. A customer may expect rights that the seller cannot clearly provide.

Do Not Upload Client Data Without Permission

Customer records, medical information, tax documents, unpublished business plans and employee information should not be entered into a public AI service without proper authorization and safeguards.

AI Can Fabricate Information

Chatbots may invent studies, quotations, laws, product details and sources. Read our guide to AI hallucinations before offering research or content services.

Platform Rules Can Change

Marketplaces, stock-image services, social networks and publishing platforms may require AI disclosures or restrict certain generated material. Review the current rules before building a service around one platform.

Professional Advice Requires Extra Care

Do not present AI-generated legal, tax, medical or financial information as qualified professional advice. AI can assist with organization and research, but a licensed professional may need to review consequential conclusions.

The risks involved in AI tax work are explained in Can AI Really Do Your Taxes?

Taxes and Recordkeeping

Side-hustle income is generally taxable even when it is temporary, part-time, paid in cash or not reported on a tax form.

The IRS says a person generally must file and pay self-employment tax when net earnings from self-employment reach $400 or more. Depending on total income and circumstances, estimated tax payments may also be necessary.

Keep Records of:

  • Payments received
  • Platform statements
  • Software subscriptions
  • Advertising expenses
  • Equipment purchases
  • Business mileage, when applicable
  • Contractor or subcontractor payments
  • Refunds and payment-processing fees

Do not wait for a Form 1099 before reporting income. The IRS requires gig-economy income to be reported even when no information return is issued.

AI Side Hustle Scams to Avoid

The Federal Trade Commission has pursued several companies accused of using AI claims to sell expensive business opportunities and promised passive income.

One case involved an alleged $25 million e-commerce scheme that claimed AI-powered tools could quickly create profitable online stores. Another involved Click Profit, which the FTC alleged cost consumers at least $14 million while promising guaranteed passive income from supposed AI-powered storefronts.

Common Warning Signs

  • Guaranteed income
  • Claims that no skill, selling or work is required
  • Pressure to pay immediately
  • Large upfront fees for a “done-for-you” business
  • Secret systems that cannot be explained clearly
  • Testimonials without verifiable typical results
  • Promises that an AI bot will make money automatically
  • Pressure to borrow money or use a credit card
  • Refund promises contradicted by complicated conditions

A real business can explain who the customer is, what is being sold, why the customer will buy it and what work the owner must perform. “The AI makes money while you sleep” is not a business explanation.

Avoid Fully Automated Content Farms

Google does not prohibit AI-assisted content simply because AI was used. It does warn that generating large numbers of pages without adding value may violate its spam policies.

A durable content business needs original value, accurate information, human editing and a clear reason for readers to choose it over thousands of similar pages.

The Verdict

AI side hustles can produce real income, but the profitable part is rarely the AI tool itself.

The opportunity comes from combining AI with a useful skill, understanding a customer and delivering a result that saves time, improves quality or solves a costly problem.

Workflow automation, video production, chatbot setup, spreadsheet services and industry-specific training all have demonstrated marketplace demand. They also require testing, communication, quality control and ongoing learning.

The honest conclusion: AI can reduce the time and cost required to start a service business. It cannot provide guaranteed customers, protect you from competition or turn low-quality work into lasting income. Start with one narrow service, win one paying client and build from verified results rather than income promises.

AI is changing the type of work businesses purchase, but it is not removing the need for skilled people. Our analysis of why AI has not taken every job explains why people who combine domain knowledge with AI tools may remain more valuable than people relying on either one alone.

Frequently Asked Questions

Can you really make money with an AI side hustle?

Yes, businesses purchase services involving AI automation, video, chatbots, data, content and marketing. Income is not guaranteed. Success depends on having a useful skill, solving a real problem and consistently finding and serving clients.

What is the easiest AI side hustle to start?

The easiest option is usually one connected to a skill you already possess. A writer may begin with editing and content updates, while someone comfortable with spreadsheets may offer data cleanup and reporting services.

Do I need to know how to code?

No. Content editing, video production, virtual assistance, resume writing and basic no-code automation can be offered without traditional programming. More complex integrations and custom applications require technical skills.

How much can a beginner earn?

There is no reliable universal amount. Some beginners earn nothing because they never find a paying client. Others earn several hundred dollars from a limited project. Focus first on proving that one customer will pay for one service rather than relying on advertised monthly-income figures.

Which AI freelance skills are growing fastest?

Recent freelance-marketplace data shows strong growth in AI video generation and editing, AI integration, data annotation, image editing and chatbot development. Growth rates reflect marketplace activity and do not guarantee work for every freelancer.

Is AI content penalized by Google?

Google does not say that content is automatically penalized because AI helped create it. Its systems prioritize helpful, reliable, people-first material. Producing many low-value pages primarily to manipulate rankings may violate Google's spam policies.

Can I sell AI-generated images?

You may be able to sell them when the tool and marketplace permit commercial use, but copyright protection and licensing can be complicated. Review the tool's terms, the marketplace's rules and the level of human authorship involved.

Is AI side-hustle income taxable?

Yes. Gig and freelance income generally must be reported even when it is part-time, paid in cash or not shown on a Form 1099. Net self-employment earnings of $400 or more can trigger a federal self-employment-tax filing requirement.

How can I recognize an AI side-hustle scam?

Be skeptical of guaranteed income, effortless passive-income claims, expensive done-for-you stores and pressure to pay immediately. A legitimate opportunity should explain the work required, the customer being served and the evidence supporting any earnings claims.

Sources and Methodology

This guide does not assign guaranteed income figures to any side hustle. Marketplace-demand data shows which services businesses are purchasing, but individual results vary substantially.

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