When Bluffton University opened its doors on Thursday, September 10, 2026, it hosted an Innovation Forum that pulled the campus into a debate about the future of work, decision‑making, and value creation. The event’s centerpiece was Raj Biyani, Goshen College’s inaugural chief innovation officer, whose reputation as a former Microsoft IT executive and a technology advisor for the film Avatar lent gravitas to his presentation.

Biyani, a 1992 Goshen alumnus, launched the forum with a challenge that cut through the noise of buzzwords: leaders can name ChatGPT, Claude, Copilot, or Gemini, but that knowledge alone does not translate into insight. He quoted, "Knowing the name of something is not the same as knowing something. And most of what we call education is really just learning names. Learning labels. But thinking, real thinking, means asking what’s actually happening." The point was clear—AI literacy must extend beyond tool recognition.

He then outlined a seismic shift in how organizations deploy generative models. According to Biyani, these systems now generate first drafts, create virtual mockups, and produce variations, freeing human teams to focus on storytelling and higher‑level creative work. The speed and cost of content production, he warned, will make audience capture the decisive differentiator.

A key contribution of the talk was a decision framework that helps leaders decide where to deploy AI. Biyani described two axes: the amount of human knowledge required to complete a task and the potential cost of an error. When both dimensions are low, full automation is appropriate. If one is high and the other low, augmentation—human oversight in a loop—is advisable. When both are high, human oversight remains essential. The framework, he said, equips leaders to articulate a clear AI strategy and prioritize adoption.

Biyani also turned his attention to the human side of AI integration. "AI excels at aptitude but not at attitude," he noted, emphasizing the need for willingness to learn and adapt. For higher education, he argued, institutions must balance current operational efficiency with the capacity to evolve as technology changes. "Where leaders use AI should not be just to do things better but to do better things," he added.

The forum’s audience—faculty, administrators, and industry partners—heard these ideas in the context of Goshen College’s AI Task Force, which Biyani co‑chairs, and the college’s recent appointment of a chief innovation officer to guide AI integration. While no other speakers were scheduled, the conversation was framed by the broader mission of Goshen’s task force and the strategic role of the CIO.

Bluffton University’s event series is designed to spark dialogue on emerging technologies. The Innovation Forum’s focus on AI literacy aligns with the university’s commitment to preparing students for a technology‑driven workforce. By inviting leaders to move beyond superficial familiarity, the series encourages a deeper, more strategic engagement with AI.

In closing, Biyani urged leaders to empower teams to experiment with AI while maintaining strategic direction. He emphasized that understanding AI’s capabilities, limitations, and appropriate human involvement is essential for responsible and effective adoption. The forum ended with a call for continued collaboration between academia and industry to develop AI solutions that enhance human creativity and decision‑making.

The discussion at Bluffton University underscores a growing consensus that AI literacy must go beyond tool familiarity. It requires a critical assessment of how AI can add value, where human judgment remains indispensable, and how organizations can adapt to a rapidly evolving technological landscape.