A person can now assemble an AI subscription stack costing more than a small business software budget: $500 for ChatGPT Pro 500, $200 for Google AI Ultra 20x, $200 for Perplexity Max and at least $100 for Claude Max. That illustrative combination is $1,000 a month, or $12,000 a year before tax, without Microsoft, specialist creative tools or API charges. The arithmetic is real; the idea that one person needs all four is usually not.
The products overlap because each is becoming a platform. They search, reason, analyse files, generate media, write code and connect to external services. The expensive mistake is subscribing by brand fear—paying for every model so that no capability is missed—rather than designing a small portfolio around actual work.
Choose one home base, then add capabilities only when a gap appears
A home-base assistant should win on the work repeated every week: the files it can access, the devices used, the office or coding environment, memory, interface and the quality threshold for the user’s most common task. The best benchmark is a small set of saved jobs with known good outputs. The winning subscription is the cheapest plan that completes most of them without exhausting its allowance.
A lean AI portfolio instead of a subscription collection
| Layer | What it is for | When to pay |
|---|---|---|
| One home-base plan | Daily research, writing, files, voice or coding in the preferred interface | When the paid tier meaningfully improves the user’s repeated work |
| Free specialist accounts | Second opinions, a different search surface, image creation, roleplay or occasional features | Usually do not pay until a specific limit interrupts a valuable task |
| Occasional API access | A rare frontier request, batch processing or an exact model configuration | When measured usage is cheaper than another monthly commitment |
| Owned files and exports | Preserve prompts, source ledgers, outputs and data outside one provider | Always; portability is insurance against plan and model changes |
A 30-day evidence rule can prevent permanent subscription creep
Before adding a plan, write down the task it will perform, the current failure and what success would be worth. During the first month, record how many times the exclusive feature was used and how often it changed the result. At renewal, keep the plan only if the evidence matches the reason it was bought.
A useful test might be: “Claude Max prevents two usage interruptions during full-day coding sessions,” or “Perplexity Max provides a specific research workflow that saves three hours a week.” “It is considered one of the best models” is not a measurable reason. Neither is keeping a subscription because a future feature might become important.
A simple monthly review ledger
| Measure | Value | Context |
|---|---|---|
| Primary task | The repeated job the plan was bought to perform | Examples: research, coding, office work, media creation or tutoring. |
| Exclusive value | The feature or capacity unavailable from the home base | Name the exact model, integration, allowance or workflow. |
| Use count | How often the exclusive value was actually used | Separate experimentation from completed useful work. |
| Accepted outcomes | How often the output passed the user’s standard | A response generated is not an outcome accepted. |
| Replacement cost | What free, API or lower-tier route could do the same job | Include setup and review time, not only token price. |
| Decision | Keep, downgrade, pause or cancel | Re-evaluate when a plan or model changes materially. |
Bundles can be rational when the non-AI products matter
Microsoft 365 Premium illustrates the opposite end of the market. In the UK it is listed at £18.99 a month and includes Office applications, storage and extensive Copilot access. Google’s AI Ultra plans include large storage allocations and other benefits. These bundles can be good value for someone who already needs the surrounding services, but they can also hide the marginal price of the AI. Ask whether the package would be attractive without the premium model badge.[5][3]
Free tiers are strategically important
Free access is not merely a sample. Microsoft describes a free Copilot baseline; Character.AI keeps unlimited standard messaging on free plans; OpenAI is extending GPT-6 Luna and Intelligent UI to free users. Free tiers can provide comparison, occasional specialist use and a route for students and consumers excluded from three-figure plans. The trade-off is lower limits, fewer models, waiting, advertising or reduced features.[5][6][1]
The AI market is encouraging consumers to collect assistants before their actual working habits are clear. The better approach is almost the reverse: one dependable base, a few free alternatives and measured spending for exceptional jobs. The result is not loyalty to one provider. It is the freedom to change when the evidence changes—without carrying a thousand-dollar monthly stack out of habit.
Sources & further reading
- About ChatGPT Pro tiers OpenAI Help Center · Accessed 9 Oct 2026
- Claude plans and pricing Anthropic · Accessed 9 Oct 2026
- Everything new in Google AI subscriptions from I/O 2026 Google · 19 May 2026 · Accessed 9 Oct 2026
- Perplexity Max Perplexity Help Center · Accessed 9 Oct 2026
- Copilot pricing plans for individuals Microsoft · Accessed 9 Oct 2026
- About c.ai lite Character.AI Help Center · 22 Sep 2026 · Accessed 9 Oct 2026