The publishing industry’s workflow conundrum isn’t new, but the conversation around it is starting to sound like a broken record. The sector continues to struggle with a fundamental imbalance: the people closest to the content—the editors, designers, and production teams—have minimal say in the tools they use or the processes they follow. Meanwhile, leadership, often disconnected from day-to-day operations, drives decision-making from the top down. The result? Inefficient workflows, slow adoption of new technologies, and a level of frustration that’s palpable across the sector.
The idea floated in recent discussions that artificial intelligence (AI) can play hero by eliminating bottlenecks—automating repetitive tasks like formatting, tagging, and accessibility adjustments—sounds enticing, but it’s more of a half-truth than a solution. AI is only as good as the systems it’s plugged into, and those systems are often riddled with the same structural flaws that prevent meaningful progress in the first place. Fixing workflows isn’t just a technology problem; it’s a human problem, deeply rooted in organisational culture and decision-making hierarchies.
The Disconnect: Who Shapes the Systems?
Let’s start with the obvious: the people who interact with publishing systems daily—frontline teams—are rarely the ones designing or selecting them. And this isn’t just an oversight; it’s part of a larger pattern. From education to corporate publishing, decision-makers are often far removed from the realities of content creation and production. Procurement decisions are made based on pitches, promises, and price tags, not practical usability. Vendors focus their sales efforts on executives and procurement departments, not the editors who will ultimately wrestle with their platform’s quirks.
This top-down approach to workflow design creates immediate friction. Adoption is slow not because people resist change, but because the tools they’re given don’t address their actual pain points. AI, introduced into this environment, risks amplifying the mess rather than simplifying it. If the system itself is inefficient, automating parts of it doesn’t fix the underlying issue—it just speeds up broken processes.
AI’s Potential, Misunderstood
AI in publishing is often hyped as a game-changer, but its true potential lies in something far more basic: freeing up human creativity by handling repetitive and mundane tasks. The promise of AI isn’t to replace editorial judgment; it’s to give editorial teams back the time they lose to admin-heavy busywork. Formatting documents, tagging metadata, and ensuring accessibility compliance are all ripe for automation, but only if the workflows themselves are designed thoughtfully.
Here’s the catch: AI needs structure. It thrives in environments where processes are clean, logical, and consistent. But publishing workflows, especially in large organisations, are often anything but. They’re tangled in legacy systems, bottlenecked by approvals, and fragmented by disconnected technologies. Throwing AI onto this chaos without addressing the underlying inefficiencies is like slapping a Band-Aid on a broken arm—it might look like progress, but it doesn’t heal the problem.
Flipping the Pyramid: A Cultural Shift
Fixing this imbalance requires more than deploying smarter tools; it demands flipping the pyramid altogether. Frontline teams should be involved at every stage of workflow design, from tool selection to process mapping. This isn’t just about making them feel heard—it’s about leveraging their expertise to build systems that work. Editors know where approvals stall. Designers know where integrations fail. Production teams know which tasks eat up hours. Their insights should be shaping decisions, not sitting in suggestion boxes.
This cultural shift is easier said than done, especially in organisations where hierarchies are entrenched. Empowering frontline teams requires leadership to relinquish control, trust their employees, and invest in change management. It also means vendors need to rethink their sales strategies, engaging directly with end-users rather than just presenting glossy pitches to executives.
What Happens If We Don’t?
The publishing industry’s resistance to change isn’t without consequences. Inefficient workflows don’t just frustrate staff—they impact business outcomes. Delayed approvals lead to missed deadlines. Disconnected systems slow down production. Repetitive work eats into budgets that could be spent on innovation. And as competitors adopt more agile approaches, organisations stuck in the old pyramid model risk falling behind.
There’s also a broader implication for how publishing interacts with the education sector. Many publishers supply content and platforms to educational institutions, where similar workflow challenges exist. If publishers can’t get their own house in order, how can they credibly offer solutions to schools and universities facing their own technology headaches?
The rise of AI adds urgency to this dilemma. As institutions increasingly look to automate resource-heavy tasks, they’ll need publishing partners whose systems are as efficient as the tools they provide. If the publishing industry doesn’t fix its workflow issues now, it risks being sidelined in favour of more nimble competitors.
The Real Question: Who Benefits?
At the heart of this discussion is a question of power dynamics: who benefits from the current system, and who would benefit if the pyramid were flipped? Right now, the status quo works for vendors and executives who prioritise scalability and cost savings over usability. But the people who create, edit, and produce content—the ones who actually make publishing happen—are left navigating systems that don’t serve them.
If AI is to play a meaningful role in publishing, it needs to be built around the people doing the work. That means designing workflows collaboratively, choosing tools based on frontline feedback, and ensuring that automation enhances—not replaces—human expertise. Anything less is just another tech bandwagon destined to fail.
In the end, flipping the pyramid isn’t just a matter of organisational culture. It’s a strategic necessity for an industry that’s overdue for reinvention. Until publishing leaders recognise that their frontline teams are their greatest asset—not just in theory, but in practice—the promise of AI will remain unrealised, and the pyramid will stay upside down.
Leave a Reply