Bend, Don’t Break: Why We Need to Shift Our Perspective On The Relationship Between Humans And AI

Every major technology wave of the last two decades has followed a familiar arc: Organizations rush to adopt, skip the operational groundwork, and then blame the technology when guaranteed results fail to manifest.

AI, unsurprisingly, feels like an excellent example of this boom-and-bust pattern. Adoption is everywhere, from HR to sales to marketing, but there are murmurings of promises unfulfilled and ROI unrealized. There are a lot of theories as to why things aren’t going according to plan, and here’s mine: The companies struggling most with AI right now weren't adaptive before AI arrived. But jumping on the latest technology sure made their internal shortcomings more visible.

The pattern of complexity not scaling is everywhere. I have seen it made manifest in the cockpit of an F-15, from inside VMware's shift to SaaS, and now from inside the transformation work we are doing at 8x8. When a team hasn’t built the muscles for continuous change, no single tool will save them, and the latest tool is more likely to embarrass them than help them.

A recent HBR analysis argues that AI erodes the very skills that make organizations competitive. The proposed fix is to separate AI from areas where subjectivity is a crucial part of the workflow, and to build AI-free zones where people wrestle with decisions on their own first.

That's reasonable. But I’d argue it’s merely a treatment for a symptom of a larger issue.

Hiding the Tech Won’t Solve Your Problemlink to this section

Quarantining AI will do nothing to stop the advance of what I see as a chronic issue. Organizations that fail to build a learning culture are inevitably going to stagger when things change. Today, that change is AI tooling augmenting almost everyone’s labor. Tomorrow, it might be something else.

Instead of letting every new thing destabilize ways of working, we need to keep in mind that agility is a practice, like long-distance running or meditation. Unfortunately, most organizations treat it exclusively like a finish line, rather than acknowledging that transformation is a discipline. Something you build into your workflows, and something that you encourage in your people.

According to a McKinsey report on organizational adaptability, “Highly successful agile transformations outperformed even born-agile organizations; no single action moved the needle. It required broad, simultaneous effort across strategy, process, people, and technology infrastructure.”

That mirrors what I learned leading as a fighter pilot. Pilot survival didn’t depend exclusively on having better aircraft. The pilot who had the best shot at making it were the ones who debriefed every flight, mistake, and assumption, on the ground in front of their peers. Yes, the aircraft mattered, but their discipline mattered more.

The Work is in the Preparationlink to this section

One of the best ways to build an agility practice is to support and even encourage difficult transitions. According to the WEF’s Future of Jobs Report (2025), 44% of workers' core skills will be unneeded by 2027.

If employers wait until 2027 to address the 44% average, they’re going to lose irreplaceable people and knowledge.

Consider what an organization actually loses when it replaces a tenured contact center agent with a bot: years of customer pattern recognition, escalation judgment, and institutional memory; the exact capabilities AI needs good human input to amplify.

AI isn’t even a unique disruptor. Constant evolution is a basic requirement of most modern careers; according to BCG, the half-life of digital skills sits at just three years on average.

In the transformation work we are doing at 8x8, we’ve seen that the AI use cases that move the needle ride on top of clean data, well-mapped processes, and people who already understood the problem deeply before we applied the model. AI can accelerate expert judgment, but it can’t replace the experts themselves.

An organization that treats occupations as static (or, on the other extreme, completely replaceable) is placing itself in jeopardy. Either they (and their employees) get stuck far behind the digital curve, or they change over so rapidly that they obliterate the benefits of institutional memory.

Crafting an Agility Training Plan Means Moving Away From Old Approacheslink to this section

If we want to build better agile practices, we need to think beyond HR onboarding or mandated yearly courses that fill people’s inboxes with reminders.

We should define what learning and upskilling look like for every department and team, and we should find ways to make it consistent. People forget what they don’t practice.

The framework I use with my own teams runs in three sequential pillars: culture, then operations, then data and AI tools. For each pillar, we use the same methodology: Visualize the work as it actually happens. Optimize where you see friction. Automate only what is actually ready to be automated.

Most organizations skip straight to automation. Then they wonder why the bot they deployed sits next to a process no one fully understands and data no one trusts.

We need to stop trying to protect humans from technology, and we need to train and support people who are capable of using that technology in the most effective way possible.

This means defining what continuous learning looks like for every department, making it consistent enough that people actually practice it, and treating it as operational infrastructure, rather than a one-off line item in next year’s budget.

Ditch the Philosophical Debates and Get Practical Insteadlink to this section

Let’s stop arguing about whether AI can replace human judgment. I’m asking whether your organization has built the kind of people whose judgment is worth augmenting.

That work doesn't start when the next technology wave hits. It starts now, before something irreparably breaks.

Joel Neeb

CTBOO, 8x8

Joel Neeb is the Chief Transformation and Business Operations Officer at 8x8, where he leads organizational alignment and operational strategy across the company's global operations. Before 8x8, he drove enterprise-wide transformation at VMware through its shift to a SaaS model and served as CEO of Afterburner, Inc., a Forbes-recognized top small business focused on building high-performance organizations. A former F-15 mission commander in the U.S. Air Force - 3,000+ missions, tactically leading 300 senior combat pilots - Joel brings a practitioner's view of what change readiness actually requires at scale.