Clara Shih
Clara Shih – How AI will redefine the workplace
Clara Shih
Keynote Speaker
Senior Advisor and Founder, Meta Business AI; Former CEO, Salesforce AI; TIME100 AI Leader; Board of Directors, HubSpot
Recognized by TIME100, Fortune, and CNBC, Clara Shih translates AI's transformation potential into actionable strategy. As the key business and technology leader who built both Meta and Salesforce's business AI from the ground up, she shares frontline insights on how AI reshapes competitive advantage, governance, and the future of work.
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Clara previously served as CEO of Salesforce AI, leading artificial intelligence efforts across the company, including product, frontier applied research, and go-to-market for Salesforce’s Einstein and Agentforce offerings. Before Salesforce, Clara was founder and CEO of Hearsay Social (now part of NASDAQ:YEXT), an AI startup enabling salespeople to leverage social networks to build their brand as expert advisors.
A digital pioneer, Clara has been named one of Fortune’s “40 under 40” and “Most Powerful Women Entrepreneurs,” Fast Company’s “Most Influential People in Technology,” and a “Young Global Leader” by the World Economic Forum. She served on the Starbucks board of directors for 12 years and authored the 2009 bestselling book The Facebook Era. She graduated #1 in computer science at Stanford University, where she also received an M.S. in computer science. She holds an M.S. in internet studies from Oxford University, where she studied as a U.S. Marshall Scholar.
Featured Videos
Clara Shih
Clara Shih – How AI will redefine the workplace
Clara Shih’s Speech Topics
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7 Habits of Highly Successful Enterprise AI
Most organizations aren’t failing at AI because of the models– they are failing at organizing teams, data, and execution. This talk distills what separates companies that scale AI for impact from those stuck in pilots. From aligning leadership and data foundations to embedding AI into core workflows and measuring real ROI, these seven habits are drawn from what works inside large, complex enterprises. The focus is practical: how to move from experimentation to impact, and do it in a way that compounds over time.
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AI – Opportunities, Business Model Disruption, Governance and Risks
AI is reshaping competitive advantage at the business model level—not just improving efficiency, but redefining how companies create and capture value. This session helps boards understand where disruption is most likely to occur, how to evaluate management’s AI strategy, and what risks demand active oversight. It connects opportunity and governance, giving directors a clear lens on where to push for acceleration and where to insist on discipline.
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Board Oversight of AI & Director Education Workshops
Boards are expected to oversee AI, but most governance frameworks haven’t caught up. This session equips directors with a practical approach to oversight—what questions to ask, what signals to watch, and how to assess whether the organization is managing risk appropriately while moving at the right speed. The workshop format is interactive and tailored to the board’s context, enabling directors to build fluency quickly and engage management with greater precision and confidence.
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Impact of AI and Automation on Jobs and the Economy
AI is not simply replacing jobs; it’s reshaping how work gets done, how companies are structured, and how value is distributed. This session goes beyond headlines to examine where automation is already driving productivity, where human roles are evolving, and what this means for growth, wages, and competitiveness. Leaders leave with a clearer understanding of how to redesign roles, invest in skills, and navigate the transition without losing momentum—or their workforce.
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How to Future-Proof Your Company’s AI Strategy
AI capabilities are advancing faster than most strategies can keep up. This session focuses on building an approach that doesn’t become obsolete with the next model release. It covers how to architect for flexibility, avoid overdependence on any single vendor, and put in place governance that can evolve alongside the technology. The goal is not to predict the future, but to build an organization that can adapt to it—quickly and with confidence.
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Reorganizing R&D for the AI Age
AI is fundamentally changing how innovation happens. Traditional product management and R&D models—linear, siloed, and slow—don’t hold up in a world where iteration cycles are measured in days and capabilities evolve continuously. This talk explores how leading companies are restructuring teams, workflows, and decision-making to integrate AI into the core of product development. The emphasis is on operating model design: how to blend research, engineering, and data into a system that can move at the pace of the technology.
Works by Clara Shih
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