Who Is This For
Anyone paying for a growing stack of writing, research, transcription, design, productivity or automation tools and wondering whether a general-purpose AI subscription already covers enough of those jobs to justify cancelling a few.
This guide is especially useful for freelancers, creators, consultants and small teams. The principle here is not to replace your entire software stack. It is to find subscriptions that are expensive relative to how little unique value you actually get from them.
What You’ll Learn
Which subscription categories are easiest to test against ChatGPT, Claude or another general-purpose AI tool.
How companies and individual users are already replacing paid software with narrower AI workflows.
A simple audit for deciding whether a subscription is safe to cancel, downgrade or keep.
Copy-paste prompt for testing the work you currently hand to specialist tools.
Which categories still have enough workflow, data or integration value that replacing them is usually a bad trade.
AI Only Exposes Your Weakest Subscriptions
Ramp's spending data across tens of thousands of businesses shows that conventional SaaS is still very much alive. Seat-based pricing continues to represent roughly 65% to 75% of spend in its traditional SaaS vendor panel. So this supposed ‘death of Saas’ or ‘SaaSpocalypse’ being predicted is obviously an exaggeration.
What’s interesting here, however, is individuals and companies are realising that AI can be effective in replacing some of their weaker SaaS applications. In April 2026, AI researcher Daniel Miessler published a list of tools he planned to cancel: Zapier, Resend, Figma, Canva, Browserbase and Supabase. He had recreated the functionality he needed inside his own AI-powered technical setup. And he’s not the only one.
A few months earlier, GRID founder Hjalmar Gislason shared a more concrete number. His company had cancelled roughly $32,000 per year across Contentful and Twilio Segment after building internal replacements with Claude Code. He estimated each replacement took around two days to build. The key detail was easy to miss: the new tools they built had fewer features but effectively covered the features GRID actually used.
At the enterprise front, healthcare services company Curative’s CEO Fred Turner, said the company dropped a $600,000-a-year Salesforce contract after building its own CRM in roughly two months. Curative is also aiming to cut a large share of its wider SaaS spend. This is an enterprise engineering story, not a beginner playbook, but it shows what changes when the cost of building narrow internal software falls.
That is why the useful question is not, "What software can AI replace?" but rather:
Which subscriptions are you paying for mainly because they perform one narrow task that your existing AI tool can now perform well enough?
To determine what must make it to the cancel list, you have to understand what your current stack looks like.
Start With the Easiest Candidates
Here’s a quick table to help decide:
Subscription type | Why it is vulnerable | Good candidate if… | Keep it if… |
|---|---|---|---|
Copywriting tools | General AI can draft, rewrite, summarize and adapt tone | You mainly use it for first drafts, captions, emails or rewrites | You rely on team workflows, brand-governance features or large-scale content operations |
Grammar / rewriting tools | AI can edit full passages with context instead of sentence-by-sentence corrections | You mostly paste text in and accept rewriting suggestions | You depend on real-time editing inside many apps, style rules or enterprise controls |
Research assistants | ChatGPT and other AI tools now include web search and cited research | You mainly use the tool to find and summarize sources | You depend on a specific search index, research workflow or citation system |
Meeting-note tools | Some general AI subscriptions now include recording, transcription and summarization | You mainly need transcripts, summaries and action items | You need meeting bots, CRM sync, team analytics or automatic joining across platforms |
Simple image-generation tools | General AI subscriptions increasingly include image generation and editing | You create occasional social graphics, concepts or simple illustrations | You need brand templates, production design files, team asset libraries or advanced editing |
Basic document-analysis tools | General AI can read PDFs, spreadsheets and documents | You pay mainly to summarize, extract or compare information | The tool is tied to compliance, structured data pipelines or repeatable enterprise processes |
Know Which Subscriptions Are Harder to Replace
The weakest SaaS products are often interfaces around a narrow task. The stronger ones hold data, connect systems or coordinate people.
SaaS that is harder to replace | Why |
|---|---|
CRM systems used by a whole team | Customer history, permissions, reporting, workflows and integrations matter more than the text-generation layer |
Accounting and payroll software | Accuracy, audit trails, tax rules and compliance matter |
Project-management platforms | The value comes from shared state, ownership, deadlines and visibility across a team |
Automation platforms with many production workflows | A simple AI agent may reproduce one automation but not the reliability, logging and integrations of a mature system |
Design platforms used collaboratively | Templates, brand assets, editable production files and review workflows can matter more than generating an image |
Databases and backend infrastructure | Data integrity, security, uptime and operational reliability are the product |
One thing to keep in mind is that AI can reduce the number of specialist subscriptions you need, but it cannot make software maintenance disappear. A custom replacement still needs testing, updates and someone who understands what happens when it breaks. A general AI tool may also lack the integrations, permissions, audit history, collaboration features or reliability of the specialist software it appears to replace.
The Cancel List: What You Can Test Right Now
The table below is deliberately conservative. "Test" means the category is worth putting through a replacement trial. It does not mean every product in that category should be cancelled.
If you currently pay for… | Try replacing the part you use with… | Example test | Replacement difficulty |
|---|---|---|---|
Jasper, Copy.ai or another general writing assistant | ChatGPT or Claude | Generate a landing-page draft, five ad variants and a rewrite in your brand voice | Low |
Grammarly Pro for rewriting and tone work | ChatGPT or Claude | Edit a real 800-word document while preserving meaning, voice and terminology | Low to medium |
Perplexity Pro mainly for everyday research | ChatGPT Search / Deep Research or another AI research workflow you already pay for | Research one real question and compare source quality, speed and completeness | Low to medium |
Otter Pro mainly for notes and summaries | ChatGPT Record if you use the macOS app and your plan includes it | Record a normal meeting and compare transcript, decisions and action items | Medium |
A separate basic image generator | Image generation inside your existing general AI subscription | Recreate three real assets you made last month | Low to medium |
A narrow PDF summarizer or document Q&A app | File analysis inside ChatGPT or Claude | Upload the same report and compare extraction, summaries and follow-up questions | Low |
A small utility that transforms files or text in one predictable way | An AI-built script or mini-tool | Reproduce the exact input-output workflow three times | Medium to high |
Here’s the rule to apply to this process: narrow utilities are easier for AI to build or recreate than broad platforms.
You can start by asking your AI to help you audit your current tech stack. Here’s a prompt that helps you achieve this:
I want to decide whether I can cancel a software subscription without damaging my workflow.
Subscription: [TOOL]
Monthly cost: [COST]
What I actually use it for: [LIST THE 3-5 THINGS YOU DO]
How often I use it: [FREQUENCY]
Other AI tools I already pay for: [TOOLS]
Important integrations or team dependencies: [LIST THEM]
Evaluate this subscription using these five criteria:
1. How narrow is the job it performs for me?
2. How much of the product am I actually using?
3. Can my existing AI tools reproduce the core output?
4. What could go wrong if I replace it?
5. How difficult would it be to switch back?
Score each criterion from 0 to 2 using this scale:
0 = poor cancellation candidate
1 = uncertain / partial candidate
2 = strong cancellation candidate
Then give me:
- Total score out of 10
- CANCEL, DOWNGRADE, TEST FIRST, or KEEP
- The exact workflow I should test before cancelling
- The features I would lose
- A 7-day replacement experiment using tools I already have
Do not assume that cheaper is automatically better. Prioritize reliability and workflow fit.
Next Steps
Run the audit against every software charge on one month of your card statement and sort by highest score first.
Check whether the AI subscription you already pay for includes features you are buying separately, especially web research, image generation, file analysis and meeting transcription.
For a narrow recurring workflow, ask an AI coding tool to prototype a tiny replacement before you buy another specialist SaaS product.
Track cost per useful outcome, not just monthly price. A $30 tool you use every day may be cheaper than a $20 AI replacement that needs constant correction.
Repeat the audit every three months. General-purpose AI products are adding features quickly, which means a subscription that was difficult to replace six months ago may become an easy candidate later.
Open your latest card statement, pick the subscription with the narrowest job, and run three real tasks through the AI tool you already pay for. If the replacement survives the difficult task as well as the easy one, you have earned the right to hit cancel.
If you want more practical guides for using AI at work without turning your job into a collection of prompts, subscribe to Practicaly AI.
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Until next time,
Team PracticalyAI
