How is Amazon Quick different from Microsoft 365 Copilot or ChatGPT?

Three structural differences. (1) Connector breadth: Quick ships with first-class integrations to Google Workspace, M365, Slack, Zoom, and Salesforce — not just Amazon's stack. Copilot is M365-centric; ChatGPT relies on user-installed integrations. (2) Local file access: Quick reads local laptop files (similar to Copilot, ahead of ChatGPT desktop). (3) Backend choice: Quick runs on Bedrock and lets enterprises pick foundation models including Claude, GPT-5.5, and Nova; Copilot is OpenAI-only; ChatGPT is OpenAI-only. For AWS-heavy enterprises, Quick is the path of least resistance.

How much does Amazon Quick cost in May 2026?

AWS introduced new Amazon Quick pricing plans alongside the May 2026 desktop app expansion, but has not published a flat per-seat price publicly. Pricing is tied to AWS account usage (Bedrock token consumption plus a per-seat platform fee), with discounts available through AWS Enterprise Discount Programs. Expect comparable economics to Microsoft 365 Copilot ($30/user/month) for typical usage — final pricing varies by which foundation model the enterprise selects and how aggressively the assistant is used.

Is Amazon Quick available now?

Yes, with a phased rollout. The Quick service launched in late April 2026; the desktop app and visual asset generation expansion landed in early May 2026. Initial availability is for AWS Enterprise and Business support tier customers in select AWS regions. General availability is expected to expand through Q3 2026. DXC has been a public reference customer deploying Quick across its global workforce.

Quick Answer

What is Amazon Quick? AWS's Desktop AI Assistant Explained (May 2026)

Q: What is Amazon Quick?

Amazon Quick is AWS's enterprise desktop AI assistant, launched at 'What's Next with AWS' 2026 in late April 2026 and expanded in May 2026 with a desktop app, new pricing plans, and visual asset generation. It runs on user laptops, connects to local files plus enterprise apps (Google Workspace, Microsoft 365, Slack, Zoom, Salesforce), and takes actions on the user's behalf. AWS positions it as direct competition to Microsoft 365 Copilot and ChatGPT Enterprise's desktop apps. Backed by Amazon Bedrock foundation models with AWS IAM and security baked in.

Published: May 6, 2026

What is Amazon Quick? AWS’s Desktop AI Assistant Explained (May 2026)

Amazon Quick is AWS’s answer to Microsoft 365 Copilot — a desktop AI assistant for work. Announced at “What’s Next with AWS” 2026 and expanded with a desktop app in early May 2026, it connects to local files and enterprise apps across vendor boundaries, runs on Bedrock-hosted foundation models, and is the most direct AWS challenge yet to Microsoft’s enterprise productivity AI dominance.

Last verified: May 6, 2026

The 60-second summary

What: Desktop AI assistant for enterprise work.
Who: AWS, launched at What’s Next with AWS 2026 (late April 2026).
For: AWS-heavy enterprises looking to replace or supplement Microsoft 365 Copilot.
Backend: Amazon Bedrock — choice of Claude, GPT-5.5 (in preview), Nova, Llama.
Connectors: Google Workspace, Microsoft 365, Slack, Zoom, Salesforce, plus local files.
Form factor: Desktop app (May 2026), web app, plus emerging mobile.
Pricing: Per-seat platform fee + Bedrock token usage; specific per-seat numbers not publicly disclosed.
Reference customer: DXC Technology deploying across global workforce.

What Quick actually does

Three categories of capability ship in the May 2026 release:

1. Cross-app context and search

Quick indexes content from connected apps and your local laptop, then answers questions like:

“Summarize the last week of conversations in #engineering Slack.”
“Find the contract draft I worked on in Drive last Tuesday.”
“Show me all action items I committed to in M365 Outlook in April.”
“What did the CFO say about Q2 forecasts in our last Zoom call?”

Connectors are first-class — meaning AWS ships, maintains, and authenticates them — not user-installed plugins.

2. Action-taking on user’s behalf

Quick can write back to connected apps, not just read. Reported actions in May 2026:

Drafting and sending emails in Gmail or Outlook.
Creating Google Docs / Word documents.
Posting messages or DMs in Slack.
Updating Salesforce records.
Scheduling meetings across calendars.
Creating Jira tickets.

Each action goes through a confirmation step by default. Enterprise admins can configure auto-approval rules per app.

3. Visual asset generation

Added in the May 2026 desktop app release. Quick can generate:

Slide deck drafts (PowerPoint, Google Slides).
Marketing visuals (via Bedrock-hosted image models including Nova Canvas and Stable Diffusion 3.5).
Document covers and infographics.
Diagrams and flowcharts from text descriptions.

This positions Quick directly against Microsoft Designer / Copilot Pro’s image generation capabilities.

How Quick differs from Microsoft 365 Copilot

Three structural differences that matter for buyers:

Connector philosophy. Microsoft 365 Copilot is M365-centric. Other apps require Power Platform connectors and custom work. Quick ships first-class connectors to Microsoft 365 itself — a meaningful concession from AWS — alongside Google Workspace, Slack, Zoom, and Salesforce. For multi-vendor shops (the majority of large enterprises), Quick has a real edge.

Backend choice. Microsoft 365 Copilot runs on OpenAI’s models exclusively (currently GPT-5.5 via Azure OpenAI). Quick runs on Bedrock and lets enterprise admins pick the foundation model: Claude 4.7 Opus for reasoning-heavy tasks, GPT-5.5 (in preview) for OpenAI-equivalent capability, Nova for cost-sensitive workloads, or Llama 4 for self-hosted-style flexibility.

Security and governance. Both products integrate enterprise SSO and audit logs. Quick adds AWS IAM, PrivateLink, KMS-managed encryption keys, CloudTrail audit, and Bedrock Guardrails. For regulated industries with AWS-native compliance posture, Quick is operationally simpler than overlaying Copilot on top of an AWS-heavy stack.

How Quick differs from ChatGPT (Atlas / Enterprise)

ChatGPT Enterprise and ChatGPT Atlas (the desktop browser/assistant) compete in a similar space. Differences:

Quick has more enterprise connectors out of the box. Atlas and ChatGPT Enterprise rely on Custom Connectors and the OpenAI MCP ecosystem.
Quick has deeper IT admin controls. Per-app data access policies, audit logs through AWS, model selection.
ChatGPT has the better consumer-grade UX. Quick is built for enterprise IT first; ChatGPT Atlas inherits a polished consumer interface.
ChatGPT moves faster. OpenAI ships ChatGPT updates weekly. Quick is on AWS’s slower enterprise cadence.

For knowledge workers picking a personal AI assistant: ChatGPT wins on UX. For IT departments standardizing one assistant across the company: Quick wins on governance.

Pricing in May 2026

AWS has not published flat per-seat pricing. The structure announced with the May 2026 expansion:

Per-seat platform fee. Covers the assistant runtime, connectors, and admin console.
Bedrock token usage. Pay-as-you-go for actual model inference — varies by model selected (Claude vs Nova vs GPT-5.5).
EDP eligibility. Quick spend counts toward AWS Enterprise Discount Program commitments.
Volume discounts. Standard AWS volume tiering applies.

Practical comparison: Microsoft 365 Copilot is $30/user/month flat. Quick will likely land in the $25-40/user/month total-cost-of-ownership range for typical usage on Claude or Nova models. Heavy GPT-5.5 usage pushes it higher.

Limitations as of May 2026

Limited preview / phased rollout. Not every AWS region or every customer can request access yet.
Enterprise-only. No SMB self-serve tier; requires AWS Enterprise or Business support.
Connector library still smaller than Copilot. AWS has the big-five (M365, Google, Slack, Zoom, Salesforce) but the long-tail SaaS connector library trails Microsoft.
Mobile app is thin. The May 2026 release leans heavily on desktop and web.
Visual generation is new. Quality lags Microsoft Designer for polished marketing assets.

Who should adopt Quick today

Three customer profiles where Quick is a clear win in May 2026:

AWS-native enterprises with multi-vendor productivity stacks. Companies running Google Workspace + Slack + Salesforce on AWS get the most leverage.
Regulated industries already on Bedrock. Banking, healthcare, and government customers using Bedrock for compliance get governance unification.
DXC-style global services firms. Large workforces where IT controls AI policy centrally and wants vendor-neutral foundation model selection.

Three profiles where Quick is the wrong choice today:

Microsoft-shop enterprises. If you’re 95% M365, Copilot’s deeper integration wins.
Startups and SMBs. ChatGPT Enterprise or Claude for Work are faster to deploy and cheaper.
Knowledge workers picking personal assistants. Quick’s UX is enterprise-functional, not consumer-delightful.

What’s next for Quick

Roadmap items reported or signaled by AWS through Q3 2026:

Mobile-first apps (iOS, Android) with feature parity.
Long-tail SaaS connectors to close the Microsoft Power Platform gap.
Vertical-specific Quick variants — Connect already has supply chain, hiring, and CX agentic solutions; Quick will likely follow.
Tighter Bedrock Managed Agents integration so Quick can hand off complex tasks to managed OpenAI agents.

Bottom line

In May 2026, Amazon Quick is AWS’s most credible enterprise productivity AI to date — a desktop assistant with multi-vendor connectors, choice of foundation model, and AWS-native governance. It is the right pick for AWS-heavy, multi-vendor-productivity enterprises that want governance unification on Bedrock. For Microsoft-shop enterprises, Microsoft 365 Copilot still wins on integration depth. For everyone else, ChatGPT Enterprise and Claude for Work are simpler and cheaper. Quick is not a Copilot killer for everyone — it is a serious option for the half of large enterprises that have been waiting for an AWS-native answer.

Sources: AWS Quick product page (May 2026), AWS What’s Next with AWS 2026 announcements, AWS Weekly Roundup (May 4, 2026), Futurum Group analysis (May 2026), TechRadar coverage (April 2026).