Myriam Broeders

Myriam Broeders frames the arrival of generative AI as a rerun of an earlier transformation, and she draws the comparison explicitly: "Every company is a tech company... en zo is ook nu every company becoming an AI company, omdat er juist zodanig veel ingebakken zit" ¹². Her point is not that companies choose to adopt AI as a strategic option among others, but that AI is now baked so deeply into everyday tools that opting out simply isn't available anymore. She traces this back to Microsoft's own earlier efforts around 2016 to push speech-to-text and image recognition as building blocks of a "democratization of AI," noting that adoption barely got off the ground then. It was only generative AI, arriving out-of-the-box and unavoidable, that finally made the shift real ¹².

This historical framing feeds directly into her clearest warning: companies that don't develop an AI-first mindset, and don't bring their people along with it, face real survival risk. She's blunt about it: "Dat is wel een evolutie waar dat er een aantal bedrijven gaan zijn die het heel lastig gaan hebben om te overleven" ¹. Crucially, she insists this isn't a sector-specific problem. It's about culture, not industry. A company's chances hinge on mindset and internal buy-in, not on which market it happens to operate in ¹².

On how companies should actually go about becoming AI-first, Broeders lays out a staged, almost athletic model. She compares it to marathon training: start small with out-of-the-box tools like ChatGPT or Copilot for individual productivity, then move to team-level agents, then embed AI into core business processes, and only after that attempt more disruptive innovation ¹. She maps a parallel evolution for agents specifically: first a human working with an assistant, then human-agent teams, then setups where agents operate more autonomously based on history, but always with humans ultimately in the loop ¹². The throughline is gradualism, not a leap to full autonomy.

What gives this framework credibility, in her telling, is that even Microsoft's own innovation organization struggles with it. She describes the tension candidly as "transforming while performing," the challenge of introducing AI capabilities internally while keeping the ordinary business running smoothly ¹². Tellingly, she says her own team looks outward for help with this, consulting Gartner analysts on how other large players manage the same balance. This is a notable admission: the difficulty of aligning innovation with operational continuity isn't something she treats as solved, even inside the company most associated with pushing AI adoption forward.

On the future of work, Broeders pushes back against narratives of shrinkage. She acknowledges change bluntly, "Er gaan inderdaad jobs zijn die niet meer zullen bestaan zoals vandaag" ², and points to logistics planning as an example of a role that will look completely different. But she draws a firm line between job content changing and total work disappearing: "Ik zie niet een toekomst waar dat er minder werk zal zijn voor mensen om aan de slag te gaan en minder mogelijkheden, mindere jobs" ¹. Her view rests on a historical pattern: technology has consistently created new possibilities rather than simply eliminating them, and she expects this cycle to hold again.

Underneath the strategic framing, Broeders also reveals something about her own working style, describing herself as someone open to nearly any idea, however implausible it first sounds: "Ik ben ook iemand die heel veel ja zegt op allerlei zotte ideeën. Dat heeft mij al heel veel goede zaken gebracht, zowel op vlak van privé als op vlak van werk" ¹. This openness seems to inform her enthusiasm about the current moment more broadly, which she describes almost playfully as "Het is een enorm speeltuin, speelgoed, mogelijkheden, sky is the limit" ². It's a notably unguarded description for someone laying out warnings about corporate survival in the same breath, and it suggests her core stance is less about fear of disruption than excitement about scale of possibility, tempered by clear-eyed insistence that the transition has to be managed deliberately rather than left to chance.