There are roughly 30,000 AI tools on the market as of mid-2026. Last year that number was about 12,000. Every week a new one shows up in your LinkedIn feed, your inbox, or a podcast ad, promising to take work off your plate, replace half your team, or unlock revenue you didn't know you had.
Most Australian business owners we speak to are now paying for between three and seven AI subscriptions. They use two of them properly. The rest sit there bleeding $20 to $200 a month each, doing nothing, mostly forgotten the day after they signed up.
Three questions, asked properly before you ever enter a credit card, will filter out roughly 80% of the noise. None of them are technical. All of them work — across software categories, vendor sizes, and industries.
Question 1: What specific job is this going to do, and who does that job today?
Most people buy AI tools the same way they buy gym memberships in January: out of optimism. They picture a future version of their business in which the tool is being used heroically. They never picture the actual Tuesday morning where someone has to log in, learn the interface, and do the work.
Before you buy anything, write down the exact job — in one sentence — that this tool is going to do. 'Summarise client meeting notes within five minutes of the call ending.' 'Write the first draft of every weekly customer newsletter.' 'Triage inbound enquiries into hot, warm and cold so the right ones get a same-day reply.' If you can't write that sentence, you don't yet know what you're buying.
Then name the person who is going to do that job using the tool. If the answer is 'someone, eventually' or 'me, when I have time', you are about to waste money. Tools don't change behaviour. People change behaviour. The tool only helps if there is a real human who has agreed to use it for a real job from day one. Without that, you've bought a subscription, not a result.
Question 2: What does this cost me if it stops working tomorrow?
AI tools fail in three ways: the company goes broke, they change their pricing without warning, or the underlying model quietly gets worse. In 2026, at least one of those happens every quarter to a tool you have probably heard of. Building anything important on top of a single vendor is therefore a real risk, not a theoretical one.
Before you buy, ask the simple question: 'If this tool disappeared in 30 days, how much disruption would it create?' If the answer is 'none, I'll just go back to doing it manually', you're free to experiment. If the answer is 'we'd lose the ability to ship orders, respond to customers, or close our books', you need a fallback plan documented before you sign up — not after the outage at 4pm on a Friday.
The same logic applies to your data. Before you commit to a tool that holds your customer list, your financial records, or your proprietary content, find the export option. If you can't get your data out in a usable format, you don't own it — the vendor does. That's a much bigger commitment than the monthly fee suggests.
Question 3: Where does the data go, and who else can see it?
Every AI tool you use is sending your information somewhere. Sometimes that somewhere is a server in Sydney with strong privacy protections. Sometimes it's a server in the United States, governed by US law. Sometimes it's a third-party model provider you've never heard of, quietly training their next model on whatever you typed in last Tuesday.
The Australian Privacy Act 1988 puts the obligation on you, not the vendor, to know where personal information about your customers is being processed. If you can't answer the question 'where does my customer data live and who can access it?' you are not in a position to use the tool for anything that touches customer information — and that includes most of the interesting use cases.
Read the privacy policy. Yes, actually read it. Look specifically for five things: data location, training-data clauses, third-party sharing, retention periods, and the deletion process. If a clause says 'we may use your inputs to improve our models', understand that anything sensitive you paste in could theoretically surface in someone else's output. That's a deal-breaker for a lot of professional work — legal, financial, medical, and anything involving employees.
What to do today
Take an inventory. Open your last three months of credit card or bank statements. List every AI subscription you're currently paying for. Beside each one, write down the specific job it does, the person who does that job, and what happens if it disappears tomorrow. If you can't fill in all three columns honestly for a given tool, cancel it this week. The savings will more than pay for the one or two tools you actually need.
If you'd rather have someone work through your AI stack with you and tell you which subscriptions to keep, kill, or replace, ProjxAI does exactly that. Get in touch and we'll start with a free 30-minute audit of what's working and what isn't.