# The Execution Gap: Work Assigned Without the Skills > Skillsoft's 2026 report: 54% of managers say staff get work they lack the skills for. Why AI makes it worse, and how L&D can close the gap. - Source: https://bodhih.com/execution-gap-work-assigned-without-skills-skillsoft-2026-india-training/ - Publisher: Bodhih Training (Bengaluru, India; since 2008) - Last updated: 2026-10-27 - Contact: solutions@bodhih.com · +91 99000 11601 --- Picture a Monday review meeting. A task has been assigned, a deadline set, an AI tool provided. Everyone nods. Three weeks later the output is late, half-right and quietly rewritten by a manager at 10 pm. Skillsoft's 2026 report: 54% of managers say staff get work they lack the skills for. Why AI makes it worse, and how L&D can close the gap. Key takeaways - In Skillsoft's survey, 54% of managers and 37% of individual contributors say people are frequently or always assigned work that requires skills they do not have (Skillsoft release via Finviz). - 77% of managers and 60% of individual contributors say skill gaps exist in their workplace today. - 38% of managers say they spend more time reviewing or verifying AI-generated work. - The survey covered 2,000 full-time employees, managers and executives in the US, UK and Germany, in August 2026. It does not cover India. - Our reading: the problem is not only missing skills. It is not knowing which skills are missing, task by task, and AI adds a new review burden on top. Last updated 27 Oct 2026 · Bodhih Insights team · reviewed by [Siddharthan VGJ](https://bodhih.com/siddharthan-vgj/), Founder Nobody was lazy. Nobody was careless. The person simply did not have the skills the task needed, and no one had checked. Skillsoft's new *Workforce Readiness Report: Execution Gap Edition* puts a number on how common this is. It may be the most practical training story of the month. *A note on sources: figures come from Skillsoft's own research as reported in its press release and coverage of it ([AI Magazine](https://aimagazine.com/news/skillsoft-how-poor-skills-visibility-slows-ai-adoption), [Onrec](https://www.onrec.com/node/129533)). Skillsoft is a learning vendor, and the sample is Western. We have not reviewed the full report, and the interpretation for Indian teams is our own.* ## The Gap Between "Role" and "Task" Most organisations track skills at the level of a job title. "Analyst." "Team lead." "Account manager." But work is assigned at the level of a task. "Build the churn model by Friday." "Handle the escalation from the largest client." "Review the vendor's AI-generated draft." A person can hold the right title and still lack the exact skill a particular task demands. That mismatch is invisible on an org chart and invisible on a course-completion report. It only shows up as delay, rework and stress. The Skillsoft numbers suggest it is not rare. If more than half of managers see it frequently, it is the normal state of work, not an exception. ## Why the Two Groups See It Differently Notice the split: 54% of managers versus 37% of individual contributors. That difference deserves attention. Two readings are possible, and both are useful: - **Managers see more mismatches because they see the output.** They are the ones who receive the incomplete report and fix it. - **Employees may not know what they do not know.** Someone who has never done a task well cannot easily tell they are doing it poorly. Either way, a training plan built only on what employees *say* they need will miss part of the gap. That is why assessment matters before content. ## How AI Makes the Gap Heavier AI was supposed to close skill gaps. Often it hides them. A tool can produce a fluent draft of almost anything. The person who requested it may not have the expertise to judge whether it is right. So the work moves up the chain, and the manager becomes the quality filter. That fits the 38% of managers who say they spend more time reviewing AI-generated output. We have described pieces of this before: [workslop](https://bodhih.com/workslop-ai-generated-work-india-teams-training/), where polished-looking AI output creates extra work for colleagues, and [AI deskilling](https://bodhih.com/ai-deskilling-skills-fade-when-ai-does-the-work-india-teams-training/), where skills fade because the tool does the thinking. The execution gap is the common cause underneath both. When a task is handed to someone who lacks the skill, the tool fills the silence, and the checking falls on someone else. ## A Simple Test: The Five-Task Audit You do not need a large project to see how big your own gap is. Try this with one team. 1. **List the five most important tasks** the team will do this quarter. 2. **For each task, name the two or three skills it truly needs.** Be specific: "negotiating a price increase with a long-standing client", not "communication". 3. **Ask the owner and the manager to rate, separately,** how ready the owner is for each skill. 4. **Compare the ratings.** Large differences are your first training priorities. 5. **Check one real output** per task against a standard. Perception is a start; evidence is better. Most teams find at least one task where the person doing it, the manager, and the actual output tell three different stories. ## Closing the Gap: What Works Training that closes an execution gap looks different from a generic course catalogue. - **Start from tasks, not topics.** Build learning around the specific work people are about to do. - **Assess before you teach.** Use diagnostics so time goes to real gaps, not assumed ones. - **Equip managers as coaches.** If managers are the quality filter, give them the skills to develop people instead of redoing their work. - **Practise on live work.** A short workshop followed by application on a real task beats a long course with no follow-through. - **Define human and AI roles per task.** Be explicit about what the tool drafts, what the person decides, and who verifies. - **Re-measure.** Check output quality and review time after 60 to 90 days. ## How Bodhih Helps Bodhih programmes are private and tailored to your teams, and can be sequenced from diagnosis to practice. - [Skill Gap Analysis](https://bodhih.com/skill-gap-analysis/) and [Psychometric Assessments](https://bodhih.com/psychometric-assessments/) show where capability actually stands, task by task. - [AI Literacy Training](https://bodhih.com/ai-literacy-training/) gives teams hands-on, role-based practice with AI on real work, including how to check its output. - [Coaching for Managers](https://bodhih.com/coaching-for-managers/) helps leaders develop people rather than absorb the rework. - [Problem Solving and Decision Making](https://bodhih.com/problem-solving-and-decision-making/) builds the judgement to challenge a fluent but wrong answer. - [Communication Skills Training](https://bodhih.com/communication-skills-training/) helps people clarify expectations when work is assigned. - [Performance Management Training](https://bodhih.com/performance-management-training/) connects skill expectations to goals and feedback. See how these fit together on our [corporate training solutions](https://bodhih.com/corporate-training/) page. ## The Bigger Idea For years, training asked, "Who needs a course?" The better question is, "Which task is about to be done by someone who is not ready for it?" The execution gap is not a motivation problem or a technology problem. It is a visibility problem. Companies that can see skills at the level of the task will assign better, train sooner and spend less time rewriting each other's work. ## Frequently asked questions ### What is the execution gap? It is the distance between the work an organisation assigns and the skills of the people assigned to do it. In Skillsoft's 2026 report, 54% of managers say staff are frequently or always given work beyond their skills. ### Does the Skillsoft survey include India? No. It surveyed 2,000 workers in the US, UK and Germany in August 2026. Indian teams may differ, but the underlying mechanism, role-level skill data hiding task-level gaps, is common. ### Why are managers more likely than employees to see the gap? Managers see the finished output and often fix it. Employees may not recognise a skill gap in tasks they have not done before. Both views are useful, which is why comparing them is a good starting audit. ### How does AI affect skill gaps at work? AI can hide a gap by producing fluent drafts. The person who asked for the draft may not have the expertise to judge it, so review shifts to managers. In the survey, 38% of managers said they spend more time verifying AI-generated work. ### Where should an L&D team start? Pick one team, list its five most important tasks, and compare the manager's and the owner's readiness ratings for the skills each task needs. Then check a real output against a standard. ### Where do the facts in this article come from? From [Skillsoft's release as reprinted on Finviz](https://finviz.com/news/403033/more-than-half-of-managers-say-employees-are-assigned-work-they-dont-have-the-skills-to-do-skillsoft-research-finds), [AI Magazine](https://aimagazine.com/news/skillsoft-how-poor-skills-visibility-slows-ai-adoption) and [Onrec](https://www.onrec.com/node/129533). We have not reviewed the full report.