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What Higher-Value Work Costs When Nobody Defines It

Brian Lambert, PhD
· 23 min read
What Higher-Value Work Costs When Nobody Defines It

A finance operations team automates its weekly reporting. Eleven hours per person, gone. Leadership announces that people are now free for “higher-value work.” Six weeks later the calendar tells the story: more status meetings, more alignment calls, a new working group. The time was freed. Nothing was put in its place.

That is the cost of an undefined phrase. “Higher-value work” is an aspiration, not work design. When nobody names the decision it serves, the outcome it changes, and who accepts it, the freed capacity gets absorbed by whatever is loudest. Then the organization quietly starts rewarding the people who describe strategic work best, not the people who do it.

TL;DR

  • “Higher-value work” issued as an instruction leaves capability available and contribution unspecified. Time freed by automation drifts into meetings and activity.
  • The direct cost is paid compensation with no defined output. At a published U.S. rate of $75.15 per hour for professional and technical services, 10 people with 20 hours a week uncommitted is $15,030 a week before overhead.
  • The larger cost is behavioral: promotions, reviews and pay reward whoever narrates strategic work best.
  • A specified contribution has three parts: the decision it serves, the outcome it changes, and who accepts it.
  • Before you build training or buy another tool, diagnose what capability the work requires and whether learning is even the right enablement play.

Table of Contents

 

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What the phrase hides

Most organizations use “higher-value work” as a destination without a map. The research on redefining work is consistent on this point. Writing in MIT Sloan Management Review, Hagel, Schwartz and Wooll argue that without a strategy of redefining work, workers represent cost savings rather than freed capacity to create new value. Cost savings are what you get when you subtract tasks. New value is what you get when you add a defined contribution.

Deloitte’s version of the same idea is more concrete. The essence of redefining work, according to Deloitte Insights, is shifting time, effort and attention from executing routine, tightly defined tasks to identifying and addressing unseen problems and opportunities, especially at the frontline. Notice what that requires: someone has to decide which problems, which opportunities, and what counts as addressing them.

If no one does, the default is activity. And activity is easy to measure, easy to defend, and easy to mistake for value.

Where the freed time goes

Undefined time does not sit idle. It fills. McKinsey’s global survey on value versus work found that 46 percent of respondents agreed or strongly agreed that their teams ensure everyone is fully utilized during sprint planning, with only 25 percent disagreeing. The same research reports that teams habitually define success as activity and delivery, not outcomes and value.

McKinsey names four symptoms of overemphasizing work at the expense of value:

  • Backlogs full of tasks, with status measured by task completion.
  • Efficiency treated as more important than outcomes.
  • Customers, even internal ones, disconnected from the team.
  • No measured outcomes, so success means the velocity of work completed.

Now place a team freed from routine reporting inside that environment. Full utilization is the cultural norm, and the new hours have no named owner. The meetings are not laziness. They are the rational way to look busy when the goal is undefined.

The same research is blunt about the signal: 100 percent utilization is not a good sign. A team with no slack cannot take on anything new, and a team with unnamed slack takes on whatever arrives.

The machinery behind the vague phrase

Here is the part most automation business cases skip. A vague phrase is not neutral. It runs a machine.

When “strategic” or “higher-value” contribution has no specification, nobody can check it. Reviews then have to rely on narrative. Promotion committees hear stories. Calibration sessions reward fluency. The people who describe their work in the language of strategy advance, whether or not the decisions they touched got better.

The pattern is documented in the broader literature on metrics. One analysis of misaligned measurement reports that when an organization mistakes activity for impact, leaders who believe their teams are performing well are less likely to investigate capability gaps. Resources drift toward functions that can show metric achievement, and high performers grow disillusioned in environments that reward the appearance of progress. Another author describes organizations where leaders who invested in knowledge development and trust were passed over for promotion in favor of those who delivered short-term metric gains, and the accumulated deficit surfaced years later.

So the mechanism looks like this:

  1. Time is freed, with no defined destination.
  2. Contribution cannot be verified, so it gets narrated.
  3. Reviews, promotions and pay follow the narration.
  4. People learn what is rewarded and produce more narration.

Nobody decided this. The vague phrase decided it for them.

What it costs, in numbers you can defend

Leaders usually ask for the cost in one figure. There are three layers, and it helps to keep them separate.

Three cost layers and their cited figures

Layer one: paid time with no committed output

This one you can price today. The U.S. Bureau of Labor Statistics figure for March 2026, as reported by Accelo, is $51.37 in wages and $23.78 in benefits per hour worked for professional and technical services, a total of $75.15 before overhead. That source’s worked example: 10 people each idle for 20 hours a week represent $15,030 in weekly compensation before office, software, management or lost revenue capacity.

Apply that to the reporting team. If 10 people each reclaim 20 hours a week and the hours have no defined contribution, the exposure is the same $15,030 a week. Not because they are idle, but because the output is unspecified. The meetings are the visible symptom.

The same source argues that once this time has its own category, leadership can price it and move the question from who is available to what the availability is costing this week. That is the right instinct. Keep the paid cost separate from unrealized revenue capacity, so you do not blur what you spent with what you failed to earn.

Layer two: fragmentation and rework

Unclear requirements travel downstream. One industry analysis reports that context-switching and task fragmentation reduce overall productivity by 20 to 40 percent when teams operate understaffed. A team with open-ended time and a pile of ad hoc requests behaves in a similar fashion, though the evidence there concerns understaffing, so treat it as an indicator of scale and not a forecast.

On requirements specifically, Jama Software reports that defects from poor requirements can consume up to 85 percent of project rework costs. That is written about product development, but the logic transfers: ambiguity upstream becomes rework downstream.

The inverse is also on record. MIT Sloan Management Review reports that at AT&T, fixing or removing “raindrops,” meaning annoying policies, outdated processes or tools that hinder work, over three and a half years led to 3.6 million hours saved and more than $230 million in avoided costs. Specific friction, named and owned, produced specific value.

Layer three: the incentive cost

This is the layer that does not show up on a dashboard. When measurement tracks activity, the organization pays years later. The Korn Ferry Institute notes that the absence of a clean ROI calculation does not mean the absence of cost. It means leaders may be deciding without the full business case. Its data-gathering found that 64 percent of consultants reported outcome data were not collected after implementation, and where measures existed, 93 percent were judged only somewhat effective or not effective.

The AI version of the same problem

AI makes the problem larger because it frees more time, faster. It also changes where the money is. McKinsey’s analysis of the economics of applying AI says some of the strongest returns come from augmenting high-skilled, higher-wage work, and that the comparison should use the full cost of completing a task with AI, including model costs and any human review, validation and rework.

That framing only works if the task is defined. You cannot compute the full cost of completing work whose outcome nobody specified. Teams looking at the cost side of this question often find AI automation consulting useful for scoping the automation itself. The work of deciding what the freed human hours are for sits on the other side of that line, and no automation scope answers it.

We have written about this from several angles: defining AI and human contribution at work, the operating model that follows, and why AI returns stall.

How to specify a contribution

Capability is available. Contribution is unspecified. The fix is to treat higher-value work as a construction, not a mood. A specified contribution has three parts.

Part The question Example for the reporting team
The decision it serves Which decision gets made better or faster? Which accounts get a pricing review each month
The outcome it changes What is measurably different when the decision improves? Fewer margin surprises at quarter close
Who accepts it Who confirms the contribution counts? The regional finance lead

Three things follow from writing it this way.

It can be checked. Acceptance by a named person replaces narration. A review can ask whether the pricing review happened and whether the finance lead took it.

It can be resourced. Once the decision is named, you can see what judgment it requires. Some of that is already in the team. Some is not.

It can be measured. McKinsey recommends defining success with measurable metrics that correspond to what customers value, setting a baseline, and counting impact on those metrics as success, not completion of a to-do item. Direction should say what goal to hit and let teams fill in the how, with the customer front and center, even when the customer is internal.

Teams in other functions face the same shape of problem. If your delivery teams look fully utilized while customer outcomes stay flat, the customer success metrics conversation is a close cousin of this one: activity counted, outcomes unspecified.

Before you build that course

Here is where most organizations make the second mistake. Having freed the time and named the contribution, the reflex is to commission training. A course on strategic thinking. A workshop on data storytelling. It feels like action.

Pause first. A gap between the contribution you specified and what happens today can have several causes:

  • The person lacks the judgment the decision requires.
  • The environment does not support it: no access to the data, no authority to act, no one to accept the output.
  • The incentives point somewhere else.
  • The process still forces the old work.

Only the first is a learning problem. Building a course for the other three adds cost and changes nothing. That is why we start with cause analysis before any build: what capability the work requires, whether learning is the right enablement play at all, and what the organization’s own evidence says. That evidence is strategy documents, frontline friction, quality findings and the expertise of the people who do the work.

When the answer does include learning, the build is aimed at operational judgment, not recall. Our pieces on redefining roles for the AI economy and starting with capability go further on that sequence.

A practical sequence for the next 30 days

  1. Inventory the freed hours. Where did automation or AI remove work, and how many hours per team per week?
  2. Price the exposure. Multiply hours by a defensible loaded hourly cost. Use your own payroll data where you have it.
  3. Name three contributions per team. Write each with its decision, outcome and acceptor.
  4. Find the blockers. For each, ask whether the barrier is skill, environment, incentive or process.
  5. Change the review language. Ask for accepted contributions, not descriptions of strategic work.
  6. Decide the enablement play. Only now decide what, if anything, needs to be built.

Our perspective

We hear “AI frees people for higher-value work” in nearly every enablement conversation. We believe it, and we think it is incomplete in a way that costs real money.

Freed time is a resource. A resource without a specification gets spent on whatever is nearest. In practice that means meetings, and eventually it means a performance system that pays for the story over the substance.

What we do is specify before we build. We diagnose what capability the work actually requires, test whether learning is the right response, and ground the answer in the organization’s own evidence. Then we structure the response: courses, practice simulations and decision environments built to develop operational judgment, with outcomes measured back to the business.

Once the contribution is named, the freed time has somewhere to go.

Brian

Where Cognistry fits

Cognistry is a capability engineering platform for enterprises that want to decide what capability to build, show why, and show that it worked. Signal maps the capability signals in your own evidence. Forge structures the response. Sim builds decision practice environments. Edge supports adoption in the work itself.

Cognistry

If your teams have time back and no destination for it, start with a diagnosis. See how the Cognistry Platform works, or read how leaders diagnose first when AI outcomes stay flat.

FAQ

What does “higher-value work” actually mean?

It means work whose contribution you can specify: the decision it serves, the outcome it changes, and who accepts it. Researchers describe it as a shift from executing routine tasks to identifying and addressing unseen problems and opportunities. Without that specification, the phrase is a label.

How do I estimate what undefined work costs us?

Start with paid time. Take the hours freed per team, multiply by your loaded hourly cost, and compare that to the accepted contributions produced. Published BLS-based figures put professional and technical services at $75.15 per hour before overhead, but your own payroll data is the better input. Track fragmentation and rework as a second layer.

Is the answer to a performance gap always training?

No. A gap can come from missing judgment, but also from environment, incentives or process. Diagnose the cause first, then decide the enablement play. Training is the right answer when the gap is in judgment and the environment already supports it.

Why do freed hours turn into meetings?

Because utilization is easy to see and outcomes are not. In McKinsey’s survey, 46 percent of respondents said their teams ensure everyone is fully utilized in sprint planning. When success is defined as activity, meetings are the safest way to fill time.

How do we measure whether the new work is working?

Set a baseline, define measurable outcomes tied to what customers value, and count impact on those metrics. The Korn Ferry Institute reports that 64 percent of consultants saw no outcome data collected after implementation, so build the measure before you launch.

Sources

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