Evolution

Fortune Editors

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Resilience and the capacity for reinvention have never been more important.

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Get insights into Evolution including business profile, stock information, news, and rankings from Fortune.

Evolution (EEVTY): Company Profile, Stock Price, News, Rankings

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Companies

Evolution | Fortune

Evolution (EEVTY): Company Profile, Stock Price, News, Rankings | Fortune

The number of ways to get around? Growing. The business models that complement ride-hailing? Exploding. And untapped markets abound—nevermind a looming autonomous driving revolution. As a new management team steers America’s No. 2 ride-hailing company into the future, we ask its chief executive: Where will Lyft go next?

David Risher
Chief Executive Officer, Lyft 

Andrew Nusca
Editorial Director, Fortune Brainstorm

For Lyft, It's Ride or Die

Conferences

Vlad Tenev, CEO and cofounder of Robinhood, joins Leadership Next to discuss his evolution as a leader, from weathering the GameStop firestorm to reshaping the platform into a full-spectrum financial services provider. Tenev reflects on how Robinhood disrupted Wall Street giants, the leadership lessons he learned under pressure, and why he sees AI as both a labor market disruptor and a catalyst for wider retail investing. He also opens up about navigating viral misinformation, the power of financial education, and how memecoins and tokenized assets could transform capital markets.

From Meme Stocks to Financial Futures: Vlad Tenev’s Vision for Robinhood

Photo Courtesy of Vlad Tenev; Graphics by Fortune

Leadership

Agentic AI is coming for the world’s knowledge workers—accountants, lawyers, consultants, and customer service teams alike. From boardrooms to BPOs, this session explores how generative and task-based AI are reshaping professional workflows, global outsourcing models, and entire industries. Is this the dawn of a productivity revolution—or a workforce in transition? 

White Collar Wake-Up: Productivity and the Professional Reckoning

A decade after IBM Watson's smarter healthcare revolution fizzled out, a new wave of AI systems—powered by large language models, multimodal learning, and surgical robotics—is quietly reshaping how care is diagnosed, delivered, and optimized. From AI-assisted stroke detection and LLM-powered patient triage to precision-guided surgical robotics and digital health platforms, hospitals and medtech companies are deploying these tools in real-world settings. But as machines take on more cognitive and procedural load, critical questions loom: How accurate are these systems? Who is accountable when things go wrong? And can medicine preserve its human touch in an algorithmic age? 

Evolution

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Videos