Sol Rashidi

Drawing on her groundbreaking research from Harvard Kennedy School on ‘The Future of Work in the Age of Automation, Augmentation, and Agentic AI’, along with her 200+ deployments and as a former AWS executive and the worlds 1st Chief AI OFficer, this keynote explores one of the most overlooked consequences of artificial intelligence: how AI is fundamentally reshaping the way expertise, judgment, and careers are built. As AI automates more work, professionals and organizations must rethink how they develop talent, stay competitive, and preserve the uniquely human capabilities that technology cannot replace. In this keynote Sol will lead with practical frameworks for staying relevant in the age of AI, understanding which skills are increasing in value, how to redesign careers around human advantage, and preparing their organizations for the next generation of work.

The future of work is not humans vs. machines—it’s humans with machines. Yet most organizations are deploying AI to cut costs rather than elevate capability. This keynote reframes AI as an amplifier of human potential and introduces a new operating model where people, agents, and systems work in partnership. Drawing on emerging research, it shows how organizations that invest in human-centric AI will outperform those that pursue automation alone.

As AI reshapes work, the question is no longer “Will my job change?”—but “Will I evolve with it?” This keynote focuses on how individuals and organizations can remain relevant by strengthening the uniquely human skills that AI cannot replace. Grounded in AI was meant to amplify your workforce and create force-multipliers, it offers a roadmap for building resilience, adaptability, and long-term value in a world where intelligence is increasingly augmented.

Every industry is experimenting with AI—but only a few are getting it right. This session brings an industry-specific lens to AI adoption, highlighting real-world use cases, measurable outcomes, and hard-earned lessons. From early wins to costly missteps, this keynote helps leaders understand where AI delivers value today, where it’s overhyped, and how to prioritize investments that drive competitive advantage.

The workforce is no longer organized by roles—it’s being restructured around capabilities, workflows, and human-AI collaboration. This keynote explores how traditional talent models are breaking down and what replaces them: dynamic skill architectures, AI-augmented teams, and flatter, faster organizations. Leaders will walk away with a blueprint for redesigning their workforce—from rigid hierarchies to adaptive systems built for continuous evolution.

As some employees adopt AI, while others resist it, AI will undoubtedly be a part of a company fabric, no matter what scale of AI you’re deploying, and it will come in various forms, the adoption of AI Agents, AI Models, and/or embedded AI systems (like Microsoft's co-pilot, Salesforce, Snowflake, etc). What should you do to prepare for this human + AI workforce integration? What should you look out for? What assumptions won’t hold true? How should your HR, Leadership, and Middle-Management teams proactively plan for what's to come in the next 1-3 years?

The goal of AI is to amplify and accelerate what we do best in order to do MORE with the SAME (not less). So, how do you prepare your organization model post-launch? What is the new Operating Model after deployment? What considerations and assumptions do you need to know NOW to achieve your ROI, establish a regenerative growth model, and drive “Catalytic commerce” – where AI is an enabler that creates compounding value generation vs. taking a one-time slingshot approach with barely any returns.

Change is hard. Disruption is hard. With the pace of change being the fastest it's ever been, leaders have an unfair advantage in today's world. Constantly distracted by messages and emails, combined with the pressures of motivating teams, aligning strategic priorities, balancing workloads, and all while innovating, leaders are not set up to succeed, UNLESS THEY GO ROGUE. This discussion is all about finding the rogue in us. The leader who focuses on not being busy but being productive. The leader who let's go of the need to respond in exchange for the need to reflect. Leaders who, in spite of resistance, can see beyond the trees and around the corner and put forth passion and relentless pursuit to achieve what needs to be accomplished, and all while staying sane. This discussion is about managing our energy so we can show up in the right way, at the right time, and for the right people to drive change and create outcomes.

With the advent of AI and with nearly 86% of organizations investing in AI-based capabilities, it's been proven that AI is not a fad or a trend that will go away. However, what we can’t measure are the economic and moral impacts AI will have on our society. Like parents, who are the caretakers of children, their responsibilities are to teach children right from wrong and to embed a moral compass in each of us. Similarly, WE as humans are the caretakers of AI, also teaching it right from wrong, yet we’re at a crossroads with a moral compass because of the biases, poor practices, falsification, and misinformation we’re helping it propagate. I will share a personal story of how ‘fake news’ almost ruined my 20+ career and how I caught it, and how to embed safer and responsible practices for AI.

Many organizations are focused on being ‘Data Centric’, ‘Data Driven’, and monetizing on data because it's the new enterprise oil. However, most organizations fail to make the pivot, with nearly 73% of organizations fall short of what they set out to accomplish with their data strategy. This discussion will go into all the reasons ‘Why’, and what we can do to course correct, evangelize, and create a movement that will build a lasting legacy with data. Everyone can be data-centric without removing the creativity, critical thinking, and experience we bring to the table.

While many companies strive to be innovative, nearly 76% of all innovation projects fail, and nearly 92% fall short of expected results. This conversation focuses on how to avoid the pitfalls and quicksand of innovation and why BUSINESS VALUE is not the metric of choice when choosing your innovation projects. It also discusses how to make sense of the new world of CXO’s where the boundaries of technology have expanded past the CIO. How should one think through the division of labor, motivating a workforce that can be apprehensive or resistant towards the latest advances of today, and how to forecast innovation projects.

Geared for Non-Technologists who want to make sense of the AI world and what it entails, this conversation gets past the ‘Art of the Possible’ and into the ‘World of the Practical’. A majority of us aren’t technologists, so it's important to understand what all this means today, for the future, and how to best be prepared for it personally and professionally. It also discusses the hype, the marketing, what is fact vs. fiction, and how to tell the difference.