Hupside Co-Founder Warns AI Adoption Without Human Originality Creates 'Sameness at Scale'
Jonathan Aberman argues that successful AI transformation requires measuring and cultivating human originality through Hupside's OIQ metric to avoid homogenization and maintain competitive advantage.
As companies race to adopt artificial intelligence, a critical gap has emerged between technological implementation and meaningful business results. According to Jonathan Aberman, co-founder of Hupside, recent studies have shown that 95% of companies have not seen an ROI from AI adoption despite widespread implementation. This disconnect highlights a fundamental challenge facing organizations navigating the AI transformation era.
Aberman, an entrepreneur and innovation strategist, contends that the current approach to AI adoption mirrors past technological shifts in its focus on efficiency gains but differs critically in its potential to create homogenization at scale. While AI can make processes faster and cheaper, it cannot generate breakthroughs on its own, he argues. This creates what Aberman describes as sameness at scale, where content, products, and strategies begin to look identical across organizations using similar AI tools.
The stakes for successful transformation are higher than in previous technological shifts because AI changes the very nature of human contribution, Aberman explains. Organizations that focus solely on efficiency risk entering a race to the bottom where differentiation and long-term profitability erode. The solution, according to Hupside, lies in what the company calls Original Intelligence a measurable quality that identifies individuals who can work effectively with AI to generate novel ideas.
Hupside's approach differs from traditional assessments by measuring outcomes rather than traits. The company's Hupchecker platform evaluates how a person's ideas compare against both human responses and AI baselines, mapping them into an idea space to determine whether someone is expanding beyond sameness. This provides organizations with an objective measure of originality in action through a metric called the Original Intelligence Quotient.
The platform's applications extend across multiple sectors. In government and public sector initiatives, Hupside helps leaders assess who in their organization can combine AI's efficiency with human insight, particularly important for policies and security strategies where originality is critical. For private sector companies, the technology helps identify value creators and protect competitive edges in areas like product development and marketing.
Education represents another significant opportunity, as students growing up with AI as a constant need to learn how to think beyond it. Aberman believes Original Intelligence should become part of curriculum development to prepare future generations for a world where human originality becomes the defining measure of value. As AI takes over routine tasks, the ability to create what hasn't been seen before becomes a survival skill for businesses, governments, and individuals.
Looking ahead, Aberman sees originality evolving as the key differentiator in an AI-dominated world. Hupside's role, he says, is to make originality visible, measurable, and scalable so it doesn't get lost in automation. The company aims to ensure that as AI reshapes work and society, humans remain at the helm by providing tools that quantify and cultivate the human intelligence that drives true innovation.