monday.com report tracks AI anxiety and software satisfaction at work
monday.com's survey finds AI anxiety and software satisfaction are separate management problems, forcing leaders to set rules before adoption outruns governance.
On July 10, 2025, monday.com planned to cut about 20% of staff while citing an “AI-driven growth strategy.” Its World of Work Report splits the AI conversation into two management problems: how employees feel about it, and whether the software on their screens actually helps them get work done. Leaders can want faster execution while teams still face uncertainty, overload, and fragmented workflows.
The two questions behind the report
The company commissioned a global survey to understand how business leaders can best support, empower, and connect teams in the face of constant change. Its two sections are “AI angst and acceptance,” on AI adoption and usage plus employee sentiment, expectations, and concerns, and “What’s working with work software,” on work-management adoption and the gap between investment and day-to-day usefulness.
It does not treat AI as a future novelty or software as a procurement issue. It treats both as operating conditions, where rollout, trust, and actual workflow fit can diverge fast.
Where the management problem starts
The practical issue for any team is no longer whether AI exists in the stack. It is whether workers feel comfortable using it, whether leadership expects it to be part of the job, and whether the rest of the workflow is set up to absorb it without confusion. monday.com’s framing captures that tension directly by pairing sentiment with usage, then putting software adoption beside investment.
If AI is available but there are no rules for when to use it, who reviews it, or what data it can touch, adoption moves faster than governance. If work software is bought but not aligned to how teams actually coordinate, the result is more tabs, more status chasing, and less clarity.
What leaders should formalize before AI spreads
The managerial question is where to set the rules before habits harden. The answer belongs in the places where work already gets defined, not in a distant policy memo.
- Set approved use cases early. Spell out which tasks can be drafted, summarized, searched, or automated with AI, and which ones still require human judgment.
- Train managers first. Team leads need to explain the boundary between speed and risk, especially when AI touches client communication, planning, or internal decisions.
- Put review gates in the workflow. If AI helps create output, build in a human checkpoint before that output becomes customer-facing, finance-adjacent, or legal-sensitive.
- Define the data boundary. Employees should know what information is off-limits for public tools and what belongs only inside company-approved systems.
- Tie software to process ownership. If a tool is supposed to improve work management, assign someone responsibility for adoption, not just licensing.
Why this lands inside monday.com
The report sits inside monday.com’s broader AI strategy, built on three pillars: AI Blocks, Product Power-ups, and monday sidekick. monday.com later introduced platform-wide AI capabilities including monday magic, monday vibe, and monday sidekick, embedding AI into the product suite rather than treating it as a bolt-on feature.
monday.com sells a work operating system built around coordination. The internal lesson matches the customer problem: adoption is not the same thing as value. Product, engineering, and sales teams all have a stake in making sure the AI story is tied to execution, not just feature count.
The broader market is moving from experimentation to workflow integration. McKinsey’s Jan. 28, 2025 workplace AI report put the long-term AI opportunity at $4.4 trillion in added productivity growth potential from corporate use cases. McKinsey found 34% of employees expect to use gen AI for more than 30% of their work tasks in less than a year, and 37% expect that within 1 to 5 years.
Microsoft’s 2025 Work Trend Index Annual Report, published on April 20, 2025, used its “frontier firm” framing to argue that AI will rewire business and knowledge work.
The organizational stakes are already visible
Inside monday.com, the World of Work framing reads like a working blueprint for how management expects AI to shape headcount, product direction, and operating discipline.
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