Now that the hype-cycle flywheel has slowed its pace ever so slightly, there’s a common belief about artificial intelligence (AI) in the workforce emerging. It’s a belief that’s echoed through the AI community for years, but it’s now becoming more widespread amongst general populace now that some of the fearmongering about AI has died down: AI won’t replace you or your job, but people collaborating with AI just might.

The AI revolution is making new demands on educators, students, and business leaders alike, requiring a combination of far-sightedness and creative imagination as we try to prepare for a radically different world. These tools will undoubtedly affect people at both ends of the education pipeline—in how they learn in the classroom and the way they deploy those skills in the workforce.

We continually examine how our interests intersect—in education through WorldQuant University and in predictive technologies through WorldQuant Predictive—and how we can help charter a clearer path into a future in which humans and machines work symbiotically. Here we share a few insights around how technology might enable a more dynamic and informed approach to education and the future of work.

Moving forward, we must focus on harnessing AI’s power to enhance human potential, rather than replace it.

Predictive AI uses carefully curated algorithms and data to generate more accurate predictions. Driven by automation and advanced algorithms, predictive outputs are no longer static reports filled with manual spreadsheet work but engines to be harnessed. Users can simulate real-world scenarios and even solve complex business problems with smart recommendations. In an increasingly AI-saturated world, these tools can provide a clearer vision of the future.

Predictive AI offers new dimensions of personalization to education that allows us to better determine students’ career paths. The technology can serve as a partner in co-creating students’ futures, orienting their academic focus to align with future industry needs and their personal aptitudes or career aspirations. AI can help provide students with a strategic career roadmap based on their strengths, weaknesses, and the required skill sets to thrive.

Moreover, AI has a critical role in optimizing educators’ performance at all levels. It can help them shape lesson plans, adapt to challenges, and provide dynamic feedback. As teachers direct feedback more efficiently, learners can have a personalized educational experience.

AI’s transformative impact on education spans beyond the classroom. A recent study by the Brookings Institution suggests that AI can be instrumental in altering workplace ecosystems, potentially improving productivity and efficiency, unlocking new jobs, and promoting an agile, skill-based workforce. Despite concerns over how many jobs that AI could replace—some 27 million in the US alone, according to the Pew Research Center—it will create new jobs in the AI-enabled workplace, where employees can spend more time on innovation and outside-the-box thinking compared to rote tasks.

In this vein, research emerging from Stanford University’s recent AI+Education Summit proposed that AI could facilitate better-paid, higher-skilled jobs instead of replacing low-skilled workers. Predictive AI can actually help identify the reskilling and upskilling pathways required for this transition, offering a more promising vision of AI's role in the labor market.

To tap into this opportunity, we need to equip today’s students to participate in tomorrow’s AI-driven economy. As businesses increasingly build internal predictive AI solutions, employees who can interface with this technology can expect to thrive. Ultimately, analysts who understand how to ask predictive AI the right questions and integrate predictions into decision-making processes should excel.

Navigating this transformative journey comes with its own challenges. The rapidly evolving AI landscape necessitates clear-sightedness from educators and business leaders. Predictive AI, though a powerful tool, is not a silver bullet. A robust understanding of the complexities where it is deployed and the ethical considerations it raises must underpin its application. Moving forward, we must focus on harnessing AI’s power to enhance human potential, rather than replace it.

Our commitment must be steadfast to actualize this circular vision of the classroom and workplace: We need to embrace predictive AI’s power, ensure ethical usage, and focus on preparing students and workers to understand how to use the technology. Predictive AI can raise future uncertainty, but this exciting new era is full of possibilities if we train and enable workforces to properly employ prediction’s power.