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Five strategies to maximize productivity gains from AI automation

April 19, 2025•Mark Samuels•Original Link•2 minutes
AI
Productivity
Workplace

Experts reveal how professionals can leverage AI-driven time savings to enhance productivity and create business value beyond routine tasks.

SEAN GLADWELL/Getty Images

As artificial intelligence (AI) automates mundane tasks, professionals must strategically reinvest their saved time. Five industry leaders share transformative approaches:

1. Drive Operational Transformation

Gabriela Vogel of Gartner emphasizes that merely using AI for task automation isn't enough. "The crucial parts are the operational changes or business model transformations" needed to create ROI. Professionals should focus on large-scale optimizations, new products, or business model adjustments.

2. Reinvent Roles and Departments

Adobe CIO Cindy Stoddard reveals how AI automation has eliminated up to 95% of some roles at Adobe. The solution? "Reinvent my role or department" - with affected employees transitioning to new value-added positions within the company.

3. Prioritize Strategic Work

LinkedIn's Tomer Cohen advises professionals to "go back to why you chose this job" and focus on core value-creation activities. For marketers, this means strategy and creativity; for developers, customer-centric ideation.

4. Explore New Business Frontiers

EY's Joe Depa demonstrates how tax professionals use AI agents to shift from compliance to strategic modeling, including tariff impact simulations across supply chains and workforces.

5. Invest in Self-Development

Carruthers and Jackson CEO Caroline Carruthers advocates using AI-gained time for "learning a new skill, being creative" and personal well-being, while maintaining human oversight on critical decisions.

Key Takeaway: As generative AI handles routine work, professionals must proactively redirect their efforts toward innovation, strategic thinking, and continuous learning to remain indispensable in the AI-powered workplace.

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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
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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.

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About the Author

Dr. Sarah Chen

Dr. Sarah Chen

AI Research Expert

A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.

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Machine Learning
Natural Language Processing
Deep Learning
AI Ethics
Experience
15 years
Publications
120+
Credentials
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