AI can scale intelligence. Leadership must scale humanity.

A managing director in a global consulting firm, doing all the right things to drive AI adoption. It’s not paying off in results – and his people are frustrated.

“They understand the promise of AI,” he says, “but the tools are half-baked and often the opposite of productive.”

A bright young woman who joined a tech company to protect children online. She’s struggling with the company’s new AI-first approach.

“Please don’t force me to use AI,” she says. “It simply doesn’t protect children the way we need to.”

An AI research engineer in a big tech firm in Silicon Valley laments:

“Instead of thoughtful bets, we’re running hundreds of experiments a day – throwing AI at a wall and seeing what sticks. It feels like we’re losing our purpose as a company.”

As I coach leaders and teams through AI transformation – from Silicon Valley to Singapore to London – these thoughtful but quiet voices inevitably surface.

And they are worth paying attention to.

As leaders driving AI adoption, what kind of organizations are we creating? Are humans truly becoming better at what we’re uniquely good at? Or are we moving in the opposite direction?

In this article, I cover common leadership blind spots in AI transformation, and the remedies.

Blindspot #1: Rapid AI adoption is inherently good

Truth: This is more about values than you think

In boardrooms, success in AI adoption is measured by speed: more experiments, faster rollouts, higher revenue, cost-cutting.

What leaders often miss is that AI doesn’t just bring tools – it carries an ideology: that efficiency and productivity are the highest good.

Left unbalanced, that ideology reshapes what organizations pursue, reward and value.

Earlier this year, I worked with one of the world’s leading journalism organizations. Top leadership brought us in because they feared the newsroom was too slow and resistant to change.

In my time with their global team of journalists and staff, it became evident that absolutely no one was anti-AI. They simply did not have a space to articulate values which felt threatened by the push towards productivity and efficiency.

“I joined this company because our journalism stands for intellectual rigor and detail. Though AI could summarize a thousand page report in cut my process by hours, I’m afraid I’ll miss out on the color and detail which makes our reporting unique. Do we really want to lose that?”

Their resistance was not due to slowness or tradition. Like the young lady working on online child safety, a core value – a reason for joining the organization – was at stake.

This is the first balance: As AI brings its powerful ideology of efficiency, each of us needs to articulate, acknowledge and double down on personal and organizational values.

Leaders can unlock wiser adoption by asking:

• What do we truly value about how we work?
• How does AI threaten or support those values?
• How do we adopt AI in ways that strengthen our mission?

As we closed our “Art of Bridging” session, another journalist reflected: “By naming where AI threatens our values, we can now reframe — how to uphold our values while finding better ways of doing things.” The group walked away excited and activated, with dozens of new ideas to try.

Have that conversation. Don’t assume speed is progress.

Blindspot #2: AI skills are the silver bullet

Truth: There’s a much more foundational skill to impart – human agency

At a conversation with women in business, a preschool owner shared that she introduced AI learning to five-year-olds. The kids lasted minutes – they were far more interested in physical building blocks.

It was a funny story, but I think the kids understood something we forget: foundations come first.

In building organizational capabilities in AI, it is easier to build new tools or technical skills. But we all know that tools, especially AI tools, evolve. Foundations endure.

So that are the foundational skills in the AI era? In short, the skill of human agency.

In the AI age, human agents will use AI agents. If you are a human who waits for instruction and direction, your value will fall.

If you have the skill of agency – a view, a goal, a theory of change – AI will supercharge everything you do.

Here’s my simple equation for human agency:

Agency = Personal mastery + domain understanding

• Personal mastery is the motivation, self-belief, and adaptability to navigate rapid change.
• Domain understanding grounds that agility in industry context and judgment.

Human agency is THE foundational skill. Everyone – from intern to executive – needs the ability to set direction for domain and self:

• What am I here to build in this next chapter?
• What’s my vision for this domain?
• What human–AI partnership will enable it?

Having lived in Silicon Valley for almost a decade (2016-2025), and now in Singapore, I’ve observed that this is one of the biggest differences in talent mindset. In the Valley, every person sees themselves as an agent. In more hierarchical cultures, it is more common to look to leaders or organizations to define these for us.

The first balance was about values. Balancing the force of AI’s efficiency ideology with the force of your organization’s other values.

This is the second: as AI agents become stronger, humans must become stronger agents too.

Don’t just push your people to adopt AI tools. Make sure they have the skills to be human agents who can use AI agents effectively.

Building organizations that welcome (not just cope with) change – HOW?

Generative AI is reshaping work faster than any system, or individual, can comfortably adapt. Where re-organizations once took place every six months, they now happen continuously.

This calls us to increase our level of ambition when it comes to managing change.

• Where we now ask: “How to help people cope with change?”
• We need a reframe: “How do we build a system that welcomes change, and thrives amidst it?”

This requires a paradigm shift in the way we build organizational capabilities.

1. Developing agency across the organization

Most leaders want “alignment” – and try to achieve it by cascading directions.

In rapidly changing organizations, alignment cannot be handed down. By the time it trickles through the layers, the information is outdated. People get confused. Burned out. Resentful.

Today, alignment depends on every person having a clear sense of purpose and agency in their work. That means activating each player to their own “why” for this chapter – and putting it in their court to connect this “why” to the organization’s evolving mission.

In an era of rapid organizational change, people and institutions will continually re-design their alliance with each other.

Rather than a career path, it is a two-sided conversation: Are we still the right fit for each other’s next stage?

Practically, every manager and team member needs the skills and space to:

• Clarify their purpose and priorities for this chapter.
• Connect their unique skills to the organization’s evolving mission.
• Design the right partnership between human judgment and AI leverage.
• Know when to evolve — when a new season or role would unlock greater contribution.

When people have the foundational skill of agency, alignment stops being something leaders enforce – it becomes something teams co-create.

This new kind of career literacy is what we teach in Navigating Shifting Seasons – equipping people and managers to navigate continual transitions with clarity, maturity, and mutual respect.

2. Building true organizational resilience

The second task of leadership is to ensure that organizations have inbuilt resilience — the ability to flex and rebound through change.

In living systems, pressure without capacity causes breakdown. The same is true for organizations. When the rate of change increases, the ability to process and recover must rise with it.

Most workplaces already understand physical safety – fire drills, ergonomic chairs, first-aid kits, and a ratio of trained responders to staff.

In the age of AI transformation, we need the equivalents for psychological and emotional safety, to help people thrive amidst the strain of constant change, the uncertainty of new tools, the pressure to adapt before understanding.

What are the new shock absorbers and trampolines – systems that help people process stress, recover faster, and bounce back stronger after disruption?

At Inherent, we’ve developed and published research on one such system: Workplace First Responders. These are not managers or specialists, but peers trained to recognize transition stress, offer empathy, and help their peers move towards agency and strategy. These first responders have boosted their peers’ motivation (+43%), focus and productivity (+50%), confidence (+60%), reduction in burn-out (-34%) in statistically significant ways, as published in our research with Princeton University.

By embedding this capacity, organizations normalize uncertainty, give teams shared language to respond, and create support structures inside the work system.

This is just one intervention, and I’d love to hear what other organizations are doing.

Ultimately, when leaders design organizations that can absorb and rebound from pressure, transformation becomes not a threat, but a rhythm – a cycle of stretch, recovery, and renewal.

AI can scale intelligence, but only leadership can scale humanity

In recent research by Workday , most employees (83%) believe that AI will make uniquely human skills even more critical.

But will humans naturally become better at what we’re good at? No. In fact, the way that AI is being adopted focuses on less thinking, more doing; less questions, more answers.

AI can scale intelligence. But only leadership can scale human strengths.

If you are leading AI transformation, I appeal to you to counterbalance speed, cost cutting and productivity with three important capability-building strategies:

• First, deepen vision and values. As AI brings its ideology of efficiency, leaders must deepen the articulation of values that give organization’s work meaning.
• Second, build human agency. Leaders must deepen each person’s human agency: capabilities to set vision, take action, and find the right human–AI balance for their work. Agency is a foundational skill which allows continual adaptation from tool to tool, technology to technology.
• Third, design for resilience. Leaders must treat emotional and psychological capacity as seriously, if not more seriously as physical safety. We must build systems that help people bounce back stronger from change, not just endure it.

If AI scales intelligence, leadership’s task is to scale the qualities that make intelligence human – judgment, empathy, purpose, renewal.

That is how we’ll know the transformation is working: not when AI runs faster, but when people grow deeper.

Do get in touch to share your experiences and opinions! karen at inherentjourney dot com.

About the author:

Karen Tay is the Founder and CEO of Inherent, a Silicon Valley + Singaporean company which designs and delivers research-backed leadership programs for organisations navigating AI-driven change. She has worked with clients such as Google, Linklaters, The Economist Group, and travels globally for assignments. Inherent’s work integrates behavioural science, strategic leadership, and deep human development.

A Princeton University graduate, former Singapore Government leader (AO), and fractional Chief People Officer to growth stage start-ups, Karen bridges the worlds of technology, public service and innovation. She is also faculty at Singularity University and an ICF-certified coach. Her work has been featured internationally for creating learning spaces that are rigorous, human, and deeply relevant.