Tracked changes
1
Know when to buy, switch, or wait on your AI tool stack.
Tool change history
Figma Make should now be budgeted as a managed AI surface rather than a fuzzy bundled perk. Teams doing heavy prototype generation need to model per-seat credits and possible add-on spend.
Tracked changes
1
Latest detected
Dec 9, 2025
High-priority
1
Affected comparisons
1
Quick answer
Figma Make should now be budgeted as a managed AI surface rather than a fuzzy bundled perk. Teams doing heavy prototype generation need to model per-seat credits and possible add-on spend.
Buyer next step
Check whether pricing assumptions and affected comparisons still hold, then save the tool to a watchlist.
Evidence status
Each change includes the detected date, severity, buyer impact, and affected comparisons.
Watchlist
Save the stack, monitor buying-impact changes, and turn the result into a decision memo.
Check change impact
Open the affected comparison pages or check team-size costs in the calculator.
Timeline
Pricing, feature, limit, and policy changes are interpreted for rollout, renewal, and shortlist decisions.
Figma's December 9, 2025 update made AI credit usage more explicit and introduced clearer additional-credit purchasing paths ahead of full-seat credit enforcement.
Buyer impact: Figma Make should now be budgeted as a managed AI surface rather than a fuzzy bundled perk. Teams doing heavy prototype generation need to model per-seat credits and possible add-on spend.
Next reads
Use these routes when this tool is already on the shortlist and you need a side-by-side call.
Pricing
Figma's public pricing starts with Starter at free limited access. Professional Full seats are listed at $16/month, Organization Full at $55/month when billed annually, and Enterprise Full at $90/month when billed annually, with AI credit allowances scaling by plan.
Compare
Figma Make has become more buying-relevant as it moved into general availability, added embeds and stronger MCP-context plumbing, and formalized AI-credit purchasing. Lovable still wins when shared workspace economics and internal publish are the real decision drivers.
Best
Use this list to choose an AI app builder, not a general-purpose assistant. It weighs speed from prompt to deployed product, collaboration in the build flow, and how much operational setup the team can absorb before the budget case breaks.