We talk to founders every week who are sticker-shocked by what software costs in 2026. Our founder Sharvin breaks down what's actually driving prices up - and what you can do about it without cutting corners.
If you're a founder or CTO budgeting for software development this year, you've probably noticed that quotes are higher than they were even twelve months ago. You're not imagining it. And it's not just one thing driving the increase.
I run a 30-person engineering agency. We quote projects and staff dedicated teams for clients in the US and Europe every week. I see the cost pressure from both sides - what we pay to build great teams, and what our clients are being asked to pay across the market. Here's what's actually going on.
Developer Salaries Keep Climbing - Especially for the People You Actually Want
Tech salaries are projected to rise 8-10% in 2026, according to Addison Group's workforce planning data. That's outpacing expected inflation of around 2.6%. But that's an average. For the roles that matter most - AI/ML engineers, cloud architects, cybersecurity specialists - the increases are steeper.
Robert Half's 2026 Salary Guide puts AI/ML engineer salaries growing at 4.4%, with data scientists at 4.1% and cybersecurity engineers at 4.0%. Motion Recruitment's data shows mid-level AI engineers saw salaries grow by 9.2% year-over-year. React developer salaries - one of the most common frontend roles - grew by 6.85% on average, with senior-level positions rising over 8%.
The reason is straightforward: demand for experienced engineers is outstripping supply, and it's getting worse. 76% of technology leaders report skills gaps within their departments, and most say the impact has grown over the past year.
IDC's forecast puts the IT skills shortage costing organizations $5.5 trillion in losses by 2026. That number sounds absurd until you watch a client's product roadmap slip by six months because they can't find a senior backend engineer.
The talent shortage isn't uniform, though. There's actually a surplus of junior and generalist developers - the problem is a specific scarcity of senior engineers who can ship production-quality systems.
The market has become polarised: too many junior candidates chasing fewer entry-level roles, alongside a real and growing scarcity of senior engineers who can operate complex systems in production. That polarisation is why "average" salary data can be misleading. The engineers you need for anything non-trivial are in the expensive bracket.
AI Integration Isn't Optional Anymore - and It's Not Cheap
Two years ago, AI features were a nice-to-have. In 2026, clients come to us expecting AI-powered functionality as baseline. Recommendations, predictive analytics, natural language interfaces, document processing - these are standard product requirements now, not differentiators.
The problem is that AI features are expensive to build and expensive to run. AI integration can increase development costs by 10–20% for mid-to-large projects. That's before you account for ongoing inference costs, model hosting, and the specialised engineering talent required to implement it well.
You need engineers who understand prompt engineering, vector databases, LLM API consumption, and inference hosting. Those engineers didn't exist in large numbers three years ago. Now every company wants them, and the supply hasn't caught up. There's a 56% wage premium for AI skills compared to equivalent roles without AI expertise. That premium flows directly into project budgets.
I've seen projects where the AI component - originally scoped as 15% of the budget - ended up consuming 35% after the team accounted for model training, API costs, and the iteration cycles needed to get outputs to an acceptable quality level. If your product roadmap includes AI, budget for it realistically or cut the scope. Don't do both halfway.
Cloud Costs Are Rising for the First Time in Years
For most of the last decade, cloud infrastructure got cheaper every year. That trend reversed in 2026.
The culprit is hardware. DDR5 memory prices increased 307% since September 2025. DDR4 rose 158%. NAND flash storage jumped 33-38% quarter-over-quarter. Memory makes up 30-40% of a server's total cost, so when memory prices triple, server costs follow. The AI infrastructure buildout is driving the shortage - companies like Nvidia are consuming enormous quantities of high-end memory for GPU servers, and traditional server supply is caught in the crossfire.
Cloud providers haven't been loud about price increases, but the industry forecast is for 5-10% increases across general workloads by mid-2026. Memory-intensive services - databases, caching, analytics - will see steeper hikes.
For our clients running production workloads on AWS, this matters. A 5-10% increase on a $15,000/month cloud bill is $750-$1,500 more per month. Not catastrophic, but it compounds. And it hits at the same time that everything else is getting more expensive too.
Compliance and Security Keep Adding to the Bill
This one creeps up on people. Every year, the baseline for what "secure" and "compliant" means gets higher. GDPR enforcement has teeth now. SOC 2 is table stakes for B2B SaaS. If you're in healthcare or fintech, the compliance burden is heavier still.
Compliance requirements alone can add 20-35% to a base development estimate. That includes security audits, penetration testing, data encryption, access controls, audit logging, and the engineering time to implement all of it correctly. You can't skip this work. And frankly, you shouldn't - but you need to budget for it upfront rather than discovering the cost mid-project.
Cybersecurity talent is particularly expensive right now. Breach costs in the US surged in 2025, and over 750,000 cybersecurity jobs remain unfilled in the US. When supply is that constrained, the engineers who can do the work charge accordingly.
What You Can Actually Do About It
I'm not going to tell you that costs are going down. They're not. But there are real ways to build well without overspending.
Start smaller than you think you need to. The most expensive mistake I see founders make is over-scoping the initial build. You don't need every feature at launch. Build the core, ship it, learn from real users, then invest in the next layer. A $200K project scoped down to a $60K MVP isn't a compromise - it's discipline.
Hire for retention, not just rates. The cheapest developer is almost never the cheapest option.
If someone leaves after three months and you spend six weeks finding and onboarding a replacement, you've lost more than you saved. We price our dedicated teams as monthly commitments specifically because the cost of churn is so high. An engineer who's been in your codebase for a year is worth two who just started.
Use a blended team model. You don't need every engineer on your project to be a senior in house architect. A strong technical lead paired with experienced mid-level developers in India gives you the quality control and the cost efficiency. Outsourced agency rates often produce equivalent output at 40-60% of the fully loaded in-house cost, without the headcount liability when a project phase ends.
Budget for the stuff nobody wants to budget for. Post-launch maintenance will cost you 15–20% of your initial build annually. Cloud infrastructure will cost more this year than last. Security and compliance work isn't optional. If your budget only covers the build, you don't have a budget - you have a down payment.
Get an honest estimate before you commit. The biggest waste of money in software isn't expensive engineers - it's building the wrong thing. A proper discovery phase, even if it costs a few thousand dollars, will save you six figures down the road. Any agency that gives you a fixed quote without understanding your requirements is guessing, and you'll pay for those guesses later.
The Bottom Line
Software development costs more in 2026 than it did in 2024. That's real. Senior talent costs more. AI features cost more. Cloud infrastructure costs more. Compliance costs more. None of those trends are reversing this year.
But cost isn't the same as waste. The founders who struggle aren't the ones who spend money on software - they're the ones who spend it on the wrong scope, with the wrong team structure, without a plan for what comes after launch.
If you're planning a build this year and want to understand what it'll actually cost with a team that sticks around, let's have that conversation.