As someone who’s spent years leading transformative projects in some of the world’s largest organizations, I know the challenges executives face when trying to harness the full power of emerging technology. 

I didn't start HumanX to merely sell tickets to a conference—I came to redefine what’s possible for leaders, creators, and strategists navigating the AI frontier. HumanX was born from my experiences as an entrepreneur, technologist, and executive, and it’s grounded in deep, evidence-backed insights from our groundbreaking research partnership with HarrisX. 

Through extensive conversations with industry leaders and HarrisX’s rigorous market analysis, we uncovered the essential themes that executives need to master today—not just to survive, but to thrive. These aren’t buzzwords or passing trends; they’re a blueprint for making real impact in an era of rapid, often unpredictable change. Each theme is crafted to address the very real pressures and opportunities that leaders are facing in 2024 and 2025, from the challenge of staying competitive against lightning-fast disruptors to the need for disciplined, high-impact AI investments.

That’s why we built HumanX—to bring together the sharpest minds and most actionable insights, helping you cut through the noise and make decisions that lead to measurable results.

As you engage with these themes, I invite you to think beyond today’s solutions. Together, let’s envision the future we’re building and set a course that makes AI not just a technology, but a true driver of lasting impact. This is HumanX. Welcome to the future of leadership in the AI era.

6. Putting a Yugo Motor in a Ferrari

Legacy infrastructure can sabotage even the most ambitious AI initiatives. In 2024, your data and systems need to keep up with your AI ambitions.

Many companies are trying to bolt advanced AI onto outdated legacy systems, creating significant friction and limited results. When AI runs on insufficient infrastructure, it’s like putting a Yugo engine in a Ferrari—neither performs as expected, and the potential is wasted. For AI to truly deliver, organizations must invest in modernizing their data architecture, integrating legacy systems, and ensuring clean, scalable data.

Putting a Yugo Motor in a Ferrari challenges executives to confront the hidden costs of legacy systems.

• 63% of companies say legacy systems are a major barrier to AI adoption (Deloitte). Without modern infrastructure, AI initiatives are likely to fail.
• MIT Sloan reports that 56% of executives cite data quality as their biggest AI challenge. Without clean data, even the best AI models can’t deliver accurate insights.
• JPMorgan Chase invested heavily in modernizing its data infrastructure, building a centralized data lake and adopting advanced data integration practices. By doing so, the bank created a single source of truth across its various business units, enabling seamless data flow and reducing redundancy. This overhaul allowed JPMorgan Chase to leverage AI at scale for a range of applications, from fraud detection to personalized customer services.

In 2024, it’s time to upgrade or get left behind. Are you investing in the foundational infrastructure that AI requires, or are you hoping for magic from legacy systems that can’t keep up?