McGraw Hill’s new chief executive used a high-profile op-ed this week to stake a clear position in the debate over artificial intelligence in schools: AI will augment teachers, not replace them. Writing in Fortune, the CEO—who took the helm earlier this year—outlined why human teachers remain central to learning and said McGraw Hill is pivoting to build “teacher‑centric” tools powered by machine learning and large language models.
The op-ed presents three core arguments. First, the CEO cited recent neuroscientific work—described in the piece as a Harvard and Google mapping of one cubic millimeter of brain tissue—that found roughly 57,000 cells and 150 million synapses in that tiny sample, with a storage capacity the author put at more than 705 million bits. The piece uses that finding to argue that the biological complexity and energy efficiency of the human brain vastly outstrip current AI systems; the CEO contrasted a child’s day of learning (humorously described as fuelled by “grilled cheese and tomato soup”) with the massive electricity and water demands of training frontier AI models.
Second, the CEO stressed the uniquely dynamic, embodied nature of classroom teaching. The op-ed quantified the challenge of instruction—saying that even a single subject such as Algebra 2 can present some 2,384 potential knowledge states and that teachers routinely navigate “trillions” of distinct learning pathways in real time for whole classes. That ability to read moods, adapt to unspoken cues and rewire instruction on the fly, the author argued, is something no large language model can replicate.
Third, the op-ed revisited the familiar “last mile” problem: Silicon Valley solutions often fail to account for local pedagogy, community trust and the day‑to‑day texture of classrooms. The CEO noted that only about 1% of unicorn startups over the past two decades have sustained their success and used that statistic to argue that scalable tech alone cannot substitute for relationship‑based instruction.
What McGraw Hill says is new in its approach is a commitment to tools that empower teachers rather than replace them. The CEO said the company is focused on systems that identify comprehension gaps, generate personalized content, power adaptive labs and create immersive learning games—applications that, in the company’s view, give educators better ways to ask questions and tailor instruction. The op-ed framed those tools as necessary to prepare students for emerging industries—space exploration, robotics, quantum computing among them—that will demand skills not yet fully imagined.
The piece also reflects a broader tension in education and the workforce over AI. While many workers and commentators worry about job displacement, McGraw Hill’s CEO leaned on personal experience from past roles at Microsoft, Amazon and Google to argue that prior tech panics underestimated human adaptability—and to urge investment in teachers and classroom‑focused technology. The article appeared as an opinion column and includes rhetorical comparisons (for example, the “nuclear power plant” characterization of AI training energy needs) that readers may treat as illustrative rather than precise technical accounting.
McGraw Hill, long one of the textbook publishing “Big Three,” is positioning itself to bridge traditional instructional materials and emergent AI capabilities by centering teachers in product design. The op‑ed makes clear the company’s public argument: harness AI to expand educators’ reach and personalization, while keeping the classroom’s human judgment and social context at the center of learning.