The Announcement and What It Actually Says

Monday.com filed a Form 6-K this week announcing a 20% reduction in its global workforce, attributing the decision to an "AI-driven growth strategy." The phrasing is worth pausing on. Companies routinely cite restructuring, market conditions, or strategic pivots when announcing layoffs. Framing a workforce reduction as a growth strategy, and specifically as an AI-driven one, is a different rhetorical move. It signals something about how organizational leadership currently understands the relationship between headcount and productivity in software firms. That relationship is being revised in real time, and the Monday.com announcement is one of the cleaner examples of what that revision looks like in practice.

Coordination Without Competence Transfer

The standard organizational response to AI adoption has followed a familiar script: deploy tools, train workers, and assume that training produces capability. What Monday.com's decision implies is that at least some firms have concluded the script does not work. If AI tooling had simply augmented existing workers uniformly, you would expect productivity gains distributed across the workforce. You would not expect a 20% reduction. The reduction suggests the firm has identified that AI tools do not produce equivalent output gains across all roles, and that the firm's coordination logic is being restructured around a smaller number of workers who interact effectively with those tools.

This maps directly onto what the Algorithmic Literacy Coordination framework identifies as the variance puzzle. Workers with identical access to the same platform or toolset produce dramatically different outcomes (Kellogg, Valentine, and Christin, 2020). The power-law distributions that emerge in platform labor contexts appear to be replicating inside organizational boundaries as firms integrate AI into core workflows. Monday.com's restructuring is not an anomaly. It is an organizational response to a distribution problem.

The Awareness-Capability Gap Inside the Firm

What makes the Monday.com case theoretically interesting is the distinction it forces between two kinds of AI competence. There is awareness of AI tools, meaning knowing they exist, having access to them, and receiving procedural training on their use. Then there is the structural competence to work adaptively with AI outputs, to recognize when the tool is failing, to modify inputs in response to output quality, and to integrate AI-generated work into broader organizational processes without degrading quality. Research on algorithmic literacy consistently shows that awareness does not transfer into improved outcomes (Gagrain, Naab, and Grub, 2024). Organizations that conflate the two make costly assumptions about how broadly productivity gains will distribute after an AI rollout.

Hatano and Inagaki (1986) draw a distinction between routine expertise, which is procedural and context-bound, and adaptive expertise, which is principle-driven and generalizes across novel situations. A worker trained to use Monday.com's AI features through a walkthrough tutorial has procedural knowledge. A worker who understands the structural logic of how AI-assisted project management tools handle dependency tracking, uncertainty, and output confidence has something more transferable. The layoffs suggest that the firm has concluded a significant portion of its workforce was operating at the procedural level, and that the tools have now absorbed enough of that procedural work to reduce the need for human execution at that tier.

What Organizational Theory Has to Say

Rahman (2021) describes how algorithmic systems function as "invisible cages" that constrain worker agency through opaque rule structures. The interesting inversion in the Monday.com case is that the AI is not constraining existing workers inside the organization. It is replacing the coordination function those workers served. The cage metaphor applies differently here: the workers being let go were not trapped inside the algorithmic system; they were performing tasks the system has now internalized.

Schor et al. (2020) emphasize that platform-mediated work creates forms of dependence that are structurally distinct from traditional employment. Monday.com's announcement compresses that dynamic into a single corporate event. The remaining workforce will be more deeply dependent on the AI tooling than their predecessors were, because the organizational structure is being redesigned around that dependency. That is not inherently problematic, but it does mean that the competence gap between workers who understand AI structurally and those who understand it procedurally becomes a direct determinant of employment security.

The Strategic Communication Problem

There is also something worth noting about the communication choice itself. Filing the announcement in a Form 6-K and labeling it an "AI-driven growth strategy" is an investor relations framing, not an organizational communication strategy. For the workers affected, the framing explains nothing about what competencies were missing or what the firm intends to build. Hancock, Naaman, and Levy (2020) note that AI-mediated communication alters how messages are produced and interpreted. In this case, the message is being produced for one audience - investors - while a second audience - employees - receives it as a termination rationale. That gap in intended and received meaning is itself a coordination failure, one that will shape how the remaining workforce interprets the firm's relationship to its own AI strategy going forward.