Future-proofing fails when leaders can’t measure people

measure what – A Harvard lecturer’s research across more than 1,700 companies argues that many organizations chasing AI transformation are overlooking the same costly blind spot: they can’t measure the uniquely human value their people create. The path forward, she says, sta

By the time companies are deciding how to deploy AI agents, one question is being asked—quietly, and too late.

“If you don’t understand how humans are uniquely adding value, it’s really difficult to optimize for that,” said Angela Jackson, a Harvard University lecturer, founder of Future Forward Strategies, and author of The Win-Win Workplace. Jackson holds a doctorate in education leadership from Harvard.

Her concern is grounded in research that spans more than 1,700 companies. She said the most striking finding from her work is that most organizations still can’t measure what makes their people uniquely valuable—and that blind spot is becoming “catastrophically expensive.”

The urgency is sharpened by the way leaders talk about automation. Jackson described a common scenario: as companies race to deploy AI agents, some leaders imagine one human managing 15 of them. The practical challenge isn’t how many agents can be deployed. It’s what that one human needs to be good at—and whether organizations have done the audit to figure it out.

Instead of starting with a checklist of technical abilities, Jackson points to relational systems intelligence as the capability she sees as hardest to replicate. It’s the ability to understand your own expertise in relation to the broader ecosystem of colleagues, processes, and gaps around you.

“Unless you’ve worked in an environment and deeply understand how the work gets done—not just your individual contribution, but as an ecosystem—it’s really difficult to replicate that,” Jackson said.

There’s a reason that matters now. Jackson frames “sentient intelligence” as the human capacity for contextual awareness. embodied judgment. and relational knowing—something she says no algorithm can replicate. She gave an example AI still can’t do in real time: reading the room. Knowing that Jim’s expression in a sales meeting signals skepticism. and pivoting accordingly. is sentient intelligence in action—she said it belongs to the human in the loop. not the agent.

This same idea lands in strategy. Jackson said her research finds a fundamental execution problem in the “billion-dollar employee listening industry.” Workers are asked for input constantly, but rarely see it acted on.

Now, the shift she points to is the ability to use AI to process frontline intelligence at scale and operationalize it into strategy in real time. Jackson illustrated the point with a bank teller who notices a pattern in customer complaints weeks before it surfaces in the C-suite.

“Those tidbits of conversations matter,” Jackson said.

In the companies getting it right, she said, leaders aren’t just collecting feedback. They’re asking the more difficult question: “What have we missed?”

Skills-based hiring is where the measurements—and the incentives—start to change. Jackson argued that degrees can act as a proxy for capability, but not a proof of it, measuring seat time instead of aptitude for doing.

She said organizations shifting to skills-based hiring are seeing talent costs drop and retention rates rise by 30% to 40%. She also said it widens the aperture for talent so smaller companies can compete with giants.

Still, for all the talk of systems and skills, Jackson drew a line between organizations that understand the shift and those that actually execute it.

“The Coalition of the Willing” is how she described the leaders driving these results—people who hold a fundamental conviction that people can learn, grow, and rise.

Jackson tied that belief to what she called “inside-out leadership.” In her framing, it isn’t a management technique. It’s a worldview, and it determines whether a leader invests time in people—or simply gives the concept lip service.

The thread running through Jackson’s research is straightforward: getting future-ready in an age of AI isn’t primarily a technology problem. It’s a clarity problem. She said leaders should get clear on what’s uniquely human in their organization. identify the sentient intelligence their people bring to work every day. and be crisp about the skills that matter for each role.

Then comes the final test, grounded in belief rather than process: ask honestly, “Do I believe my people can grow?” Jackson said leaders who can answer yes and mean it are already building the competitive advantage that can’t be automated.

What’s hard to ignore in the facts Jackson presented is the gap between ambition and capability measurement. Companies may be planning for humans to manage AI agents at scale. and they may be collecting frontline input through listening programs. but Jackson’s argument is that without understanding and tracking the uniquely human value in the system. optimization stays out of reach.

future-proofing AI agents human value relational systems intelligence skills-based hiring employee listening retention rates Harvard Future Forward Strategies