Why accomplish that many people really feel busy all day, but battle to level to the significant work we really accomplished?
On this episode of Tech Talks Each day, I sit down with Tomás Dostal Freire, CIO of Miro, to unpack a problem that quietly drains fashionable organizations. Tomás brings expertise from firms like Google, Netflix, and Reserving.com, and now leads each IT and enterprise acceleration at Miro. His focus is straightforward however formidable. Transfer past AI experimentation and rethink how work itself will get achieved.
We discover new analysis revealing that for each hour of artistic work, workers lose as much as three hours to conferences, admin, emails, and upkeep duties. That ratio is greater than an inconvenience. It impacts decision-making velocity, worker satisfaction, and finally an organization’s potential to compete. Tomás argues that future candidates will select employers primarily based on how a lot pointless inner work they’re anticipated to tolerate. In different phrases, lowering busy work is rapidly turning into a expertise technique.
One of many largest culprits? Context switching. With dozens of browser tabs open and data scattered throughout instruments, groups spend extra time stitching collectively fragments than making selections. Tomás describes how duplication of labor, outdated techniques, and a scarcity of shared context quietly erode momentum. AI, he believes, shouldn’t create extra noise or one other standalone device. It must be embedded the place collaboration already occurs.
We talk about the distinction between single-player AI moments, the place people use instruments in isolation, and multiplayer AI collaboration, the place shared context permits groups to maneuver quicker collectively. At Miro, this philosophy has formed what they name an AI Innovation Workspace, a shared canvas the place human perception and AI help coexist in actual time.
Tomás additionally shares sensible recommendation for leaders who wish to reclaim artistic time. Begin by figuring out duties you dislike doing that might simply be dealt with by somebody junior. That record usually reveals what AI can already automate. Then concentrate on constructing transferable abilities like cognitive agility and first-principles considering, relatively than chasing each new device.
If you’re wrestling with burnout, fragmented workflows, or questioning how AI can genuinely enhance collaboration with out overwhelming groups, this dialog presents a grounded, optimistic perspective. And sure, we even add a Beatles traditional to the Spotify playlist alongside the best way.
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