I know custom software development in Australia is getting faster, and in some cases cheaper, as AI tools take over routine coding work. That’s the headline everyone’s already heard. What I feel gets missed is where the savings actually show up, because it’s not evenly spread across every kind of project or every city, and it’s worth understanding before you go quote-shopping.
AndMine is a Melbourne-based digital agency working with businesses across Australia on custom software, web platforms, and digital strategy. I want to walk through how AI has changed local pricing over the past year or two, and what’s genuinely different between a quote from a Sydney team and one from Melbourne.
I know development rates in Australia have always run higher than offshore alternatives, largely on the strength of communication, time zone alignment, and accountability — a local team is easier to hold to a brief and easier to escalate an issue with. That premium hasn’t disappeared, but the size of it has changed for certain kinds of work.
More likely than not, if the work is routine — CRUD interfaces, standard authentication flows, common e-commerce integrations — it now takes a fraction of the developer hours it used to, because AI agents generate a solid first pass and a developer refines it rather than starting from scratch. For this category of work, Australian providers have become noticeably more price-competitive against offshore teams, since the labor-hour gap that used to justify the price difference has narrowed.
I feel it’s important to say complex, business-specific work hasn’t seen the same shift. Custom logic tied to a particular industry, integrations with legacy systems, or anything involving compliance and data sensitivity still needs a developer who understands the business context deeply — and that expertise commands the same premium it always did, AI or not.
From what I’ve seen, Melbourne-based teams that have adapted their process around AI tools tend to structure pricing in one of two ways. Some have simply lowered their hourly rate across the board, passing the efficiency gain straight through. Others have kept rates steady but reduced the estimated hours for routine work, which has the same net effect on the quote but makes the underlying reasoning more visible to the client. Read more on how companies are adapting to AI and how to know which to choose.
I’d say the second approach is generally the more useful one to look for, because it shows the provider actually understands where their AI tooling saves time, rather than applying a blanket discount that may not reflect the real complexity of your project. A Melbourne team quoting a flat 20% reduction across an entire project, including the complex integration work, is worth questioning — that reduction should track where the AI genuinely helps, not apply evenly to everything.
I know Sydney’s software development market has historically run slightly higher than Melbourne’s for comparable work, largely reflecting the city’s broader cost base. That gap has narrowed somewhat as AI-assisted workflows have become standard practice in both cities, since the efficiency gains apply regardless of location. The remaining difference tends to come down to specific agency overhead and demand rather than any meaningful difference in how AI is used.
More likely, if you’re a business comparing quotes from both cities, the more productive comparison isn’t Sydney versus Melbourne as a blanket rule — it’s asking each specific provider the same set of questions about their process, and comparing answers rather than assuming a city-level pattern holds for every agency within it.
I feel a few questions tend to surface the real difference between a competitive quote and an under priced one that will cost more later:
A provider who can walk through their reasoning on all four points is generally quoting from real experience. A provider who can’t explain why their price is lower than a competitor’s, beyond “we use AI,” is a harder one to evaluate on the numbers alone.
I know lower prices for routine development work are a genuine, structural change, not a temporary discount, this isn’t likely to reverse. But the lower price for routine work can make it easy to underestimate what the complex 20% of a project will actually cost, because that portion hasn’t gotten cheaper at anywhere near the same rate.
I’d suggest a sensible way to plan a budget in 2026 is to ask for the estimate broken into these two categories explicitly, rather than accepting a single blended number. It makes it easier to see where a quote is genuinely competitive and where it might be optimistic about how much AI can actually simplify.
Most of this discussion centers on the two biggest markets, but I know the underlying shift applies just as much to businesses based elsewhere in Australia working with a remote development team. Location matters less than it used to for this kind of work, since most custom software projects have been delivered remotely for years regardless of where the client is based. What matters more is whether the provider — wherever they’re headquartered — can answer the same process questions clearly: what’s AI-assisted, what’s reviewed, and how the estimate breaks down.
More likely, a Brisbane or Perth-based business working with a Melbourne or Sydney team should expect the same pricing logic described above, since the cost structure is driven by the type of work rather than either party’s location. The one practical difference worth checking is time zone overlap for meetings and reviews, which affects communication speed more than it affects the underlying cost of the build itself.
For routine, well-defined work, yes, noticeably. For complex or business-specific work, the cost has stayed closer to previous levels, since that’s the part AI assists with least.
Historically Sydney has run slightly higher, though the gap has narrowed as AI-assisted workflows have become common in both cities. Differences between individual providers now matter more than a general city-level pattern.
Ask the provider to break down which parts of the estimate reflect AI efficiency and which reflect standard developer time. A vague, blanket discount across the whole project is less reliable than a reasoning tied to specific tasks.
Not automatically. The cheapest quote might reflect genuine efficiency, or it might underestimate the complex portion of the work. Comparing how each provider explains their pricing tends to be more useful than comparing the number alone.
I know AI has genuinely lowered the cost of routine custom software development work across Australia, and that shift looks structural rather than temporary. The complex, business-specific portion of most projects hasn’t seen the same discount, and understanding that split is the difference between a realistic budget and an unpleasant surprise partway through a build.
If you’re comparing quotes for a custom software project and want a clear breakdown of where the real costs sit, get in touch with AndMine for a straightforward conversation.