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Evaluating AI assistants on everyday business tasks

May 12, 2025•Cristina Criddle•Original Link•1 minutes
AI
Productivity
TechComparison

The Financial Times assessed leading AI applications from major tech firms for email composition, travel planning and news summarization capabilities

The Financial Times recently conducted an evaluation of top artificial intelligence applications from industry leaders including OpenAI, Anthropic, and Google. The tests focused on three common workplace activities:

Key Evaluation Areas

  1. Email Composition - Testing AI's ability to draft professional business correspondence
  2. Travel Planning - Assessing capabilities in itinerary creation and booking assistance
  3. News Summarization - Evaluating how well AI can distill key information from news sources

Subscription Offer

FT Edit is currently offering a special promotion:

  • Price: S$69/year (originally S$83.76)
  • Bonus: Includes 2 months free with annual subscription
  • Features:
    • 8 curated articles daily selected by FT editors
    • Access via FT.com's Edit page
    • Includes the FT Edit newsletter

Methodology

The evaluation compared multiple AI platforms head-to-head using standardized tasks that represent common workplace scenarios. While specific results weren't detailed in this excerpt, the full analysis presumably provides comparative insights about each platform's strengths and weaknesses in handling routine business operations.

This type of testing becomes increasingly important as more businesses consider implementing AI solutions to streamline operations and improve productivity.

Related News

August 18, 2025•Kaydence Shum

Lenovo Wins Frost Sullivan 2025 Asia-Pacific AI Services Leadership Award

Lenovo earns Frost Sullivan's 2025 Asia-Pacific AI Services Customer Value Leadership Recognition for its value-driven innovation and real-world AI impact.

AI
Lenovo
Asia-Pacific
August 18, 2025•Unknown

Baidu Wenku GenFlow 2.0 Revolutionizes AI Agents with Multi-Agent Architecture

Baidu Wenku's GenFlow 2.0 introduces a multi-agent system for parallel task processing, integrating with Cangzhou OS to enhance efficiency and redefine AI workflows.

AI
MultiAgent
Baidu

About the Author

Dr. Emily Wang

Dr. Emily Wang

AI Product Strategy Expert

Former Google AI Product Manager with 10 years of experience in AI product development and strategy formulation. Led multiple successful AI products from 0 to 1 development process, now provides product strategy consulting for AI startups while writing AI product analysis articles for various tech media outlets.

Expertise

AI Product Management
User Experience
Business Strategy
Market Analysis
Experience
10 years
Publications
65+
Credentials
2
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