The AI Value Gap: Why Corporate AI Spending Isn't Paying Off

PALO ALTO, CA – July 07, 2026 – In boardrooms across the country, AI is the topic of the hour, with companies pouring billions into software licenses and tools promising revolutionary efficiency. But a sobering new report suggests this spending spree may be creating more hype than value. The latest AI Proficiency Report from transformation partner Section reveals a deep and widening "AI value gap," where massive corporate investment is failing to translate into a capable and proficient workforce, putting the entire return on investment for the AI revolution at risk.

The comprehensive study, which evaluated over 5,000 knowledge workers, paints a picture of an enterprise landscape moving on AI, but leaving its employees behind. While access to tools is growing, the ability to use them effectively is not. “The AI value gap isn’t closing because most CEOs are skipping the hardest part of this work,” said Greg Shove, Section’s CEO, in a statement accompanying the report. “It’s easier to buy licenses than to rebuild how a team operates – that’s the transformation layer, and almost nobody is doing it.”

The Proficiency Paradox: Usage Soars, Skills Stagnate

The report's data uncovers a critical paradox at the heart of corporate AI adoption. On the surface, usage metrics look impressive. Nearly 67% of knowledge workers now report using AI at least weekly, a significant jump from 55% just six months prior. Daily usage has nearly doubled in the same period, rising from 22.5% to 36.7%. Companies are successfully getting tools into the hands of their employees.

The problem is what employees are doing with them. The report finds that this surge in usage has not produced a corresponding increase in proficiency. A staggering 73.5% of workers are classified as mere "Experimenters"—dabblers who use AI for basic, one-off tasks with no repeatable or strategic workflow. The most common use case, cited by 61% of workers, remains basic information lookup, effectively using powerful AI models as a glorified Google search replacement.

True proficiency remains alarmingly rare. Only 5.5% of the workforce qualifies as a "Practitioner" or "Expert," meaning they use AI regularly in ways that are likely to drive tangible business value. The skills required for genuine transformation are almost nonexistent. While prompt-writing skills have improved, with 21% of workers now able to write an effective prompt, the ability to build remains a universal weak spot. A dismal 3.8% of employees can write effective instructions to create a simple AI automation—the very skill needed to unlock the productivity gains leaders are banking on.

The C-Suite's Blind Spot: A Tale of Two Workplaces

The chasm between investment and capability appears to be perpetuated by a profound perception gap between the C-suite and the rest of the organization. The report reveals two entirely different realities coexisting within the same companies. Executives are overwhelmingly optimistic and confident, while their employees are largely anxious and unequipped.

An enormous 82% of C-suite executives describe themselves as "excited" about AI, compared to just 30% of individual contributors. Conversely, anxiety about AI is nearly three times higher among individual contributors (22%) than executives (8%). This emotional disconnect is rooted in vastly different experiences and perceptions of their organization's AI readiness.

The data highlights a series of executive blind spots. Compared to individual contributors, C-suite leaders are far more likely to believe their organization has a formal AI strategy (a 46-point gap), that they have clear access to AI tools (a 32-point gap), and that AI is widely integrated into workflows (a 40-point gap). Furthermore, 91% of executives report receiving AI training, while only 44% of individual contributors say the same. Leaders believe they are executing a clear plan, but for the majority of the workforce, that plan is invisible, and the support is nonexistent.

The Broken Rung: Why Middle Management is Failing the AI Transformation

If the C-suite is setting a strategy that never reaches the frontline, the report points a clear finger at the broken link in the chain: middle management. Managers are the critical "connective tissue" meant to translate executive vision into daily execution, but the data shows they are largely failing to drive the AI transformation.

Instead of leading the charge, most managers are barely participating. Only one-third of managers use AI daily, and their proficiency level, at 5.4%, is virtually indistinguishable from the individual contributors they are supposed to lead. Less than half (49%) even describe themselves as excited about AI, indicating a significant lack of buy-in from this crucial cohort.

This managerial apathy has a direct and measurable impact on their teams. According to the report, 65% of managers either set no expectations for AI use or offer vague encouragement without any accountability. A mere 7.7% require AI use and tie it to performance evaluations. The effect is chilling: employees whose managers actively expect and require AI use score 1.5 times higher in proficiency and are 2.7 times more likely to be excited about the technology. Without managerial engagement, AI adoption withers on the vine.

Agents of Confusion: The Next Frontier of AI Stumbles Out of the Gate

Nowhere is the gap between corporate ambition and workforce reality more apparent than with AI agents—autonomous systems that can execute complex, multi-step tasks. While seen as the next major leap in productivity, the enterprise rollout has been a masterclass in mismanagement.

The report finds that 69% of organizations have already deployed agent-capable tools or encouraged their use. Yet this top-down push has completely failed to create bottom-up adoption. Only 16% of employees report having ever used an agentic tool. The knowledge gap is even more stunning: fewer than 10% of workers can correctly define what an AI agent is in their own words.

The failure stems directly from a lack of targeted training. At organizations that have deployed agents, only one in three employees has received any agent-specific training. The training that does occur is disproportionately aimed at the top, with C-suite executives five times more likely than individual contributors to have received it. This creates a dangerous knowledge vacuum and squanders the investment. The report shows that workers at companies that deployed agents and trained their staff scored an average of 47.5 out of 100 on proficiency, compared to just 33.1 at firms that deployed agents without training.

This data confirms what many have suspected. As Shove noted, “CEOs will announce more layoffs due to ‘efficiency gains from AI,’ but these gains are more hope than reality.” The report from Section serves as a stark warning to business leaders: the value of AI will not be unlocked by purchasing software, but by the difficult, necessary work of transforming the people who must use it. Without a fundamental shift in focus from technology acquisition to human capability development, the promised AI revolution will remain stuck in the gap between executive ambition and employee reality.