We don’t need more work tools

When people envision the future of work, they picture cleaner dashboards, sleeker interfaces, and smarter notifications. But here’s what teams actually need: software that doesn’t just help them manage work, it executes the work.

Over the past two decades, we’ve built robust systems to track, assign, and visualize tasks, and they’ve transformed how teams operate. But even the most organized teams still face the same fundamental challenge: They’re managing work, not eliminating it. That’s precisely where AI opens up entirely new possibilities.

There’s a category of invisible work that quietly drains teams: formatting data, logging updates, preparing follow-ups, and building workflow skeletons before real work begins. These repetitive, nonstrategic tasks don’t show up in retros or roadmaps, but they consume hours each week and hinder team productivity.

AI’s breakthrough isn’t in flashy productivity features. It’s in solving the invisible work problem and giving teams their time back.

From work management to work execution

We’re witnessing the next evolution in how software integrates into work. The systems that have successfully managed tasks are now ready to execute them. This advancement, from work management to work execution, is powered by AI that’s embedded, context-aware, and proactive. Not assistants waiting for commands, but agents that anticipate needs and act autonomously.

At monday.com, we know how work really happens across nearly every industry. We’ve seen what drives teams forward and what slows them down. This evolution isn’t about replacing what works; it’s about taking it further. Let teams focus on strategy, creativity, and high-impact thinking while AI handles the operational work that currently requires manual effort.

The most transformative AI won’t live in standalone chatbots. It’ll be woven into the platforms teams already use, quietly listening for intent and acting before people know what to ask for.

Getting this right requires rethinking some fundamentals:

● AI should be outcome-first, not feature-first. Teams want results, not more buttons to click.

● It must be accessible to nontechnical users. With most of our customers identifying as nontechnical, complexity is the enemy of adoption.

● It should reduce friction, not create more. Every interaction should move work forward, not sideways.

That’s what separates useful AI from merely impressive AI.

When customers can describe their needs in plain language and instantly get complete, functional solutions, that’s the next frontier of software creation. We’re advancing toward a world where software adapts even more precisely to the customer, building on the foundation of what already works.

The new standard

Across industries and company sizes, teams want more than AI features. They want AI that understands intent and delivers complete, tailored solutions from a single prompt. They expect software that doesn’t just support work, but actively drives it forward.

This transformation is already underway, and the direction is unmistakable: Software is no longer just a system of record; it’s becoming a system of action.

The winners won’t be the companies that add the most AI features. They’ll be the ones that build intelligence so deeply into the fabric of work that it becomes invisible—personalized, intuitive, and genuinely helpful.

We’re just beginning to understand what work looks like when intelligent systems become true collaborators, not just sophisticated calculators. But one thing is sure: The future belongs to platforms that don’t just manage work, they take it to the next level by executing it.

Daniel Lereya is chief product and technology officer at monday.com.