Many decision-makers fall behind as tech becomes more nuanced and fast-moving. Even experts struggle to keep up, and they’re in it full-time. Non-techs? They’re juggling meetings, people, and strategy. Often relying on secondhand knowledge from events or slides, often from others who don’t fully understand it either. That’s how myths spread. And myths are even harder to fix. The result? • Faulty beliefs • Unrealistic expectations • Myths about what tech can do But the worst part? These meetings need tech nuance to make good decisions, and they drain engineering time. For some engineers, one meeting = full cognitive drain. No deep tech work gets done the rest of the day. Protecting their focus time should be a priority. But that’s easier said than done. How is this being solved in different parts of the world? ---------
This hits hard — tech decision-making is only getting more complex, yet many leaders aren’t equipped to fully grasp it amidst their busy schedules.
Hard truth indeed. Meetings after meetings, where non technical matters are discussed more; sometimes no clear vision for the next steps... From an engineer view: EXHAUSTING!
Your insights on the challenges of navigating tech dynamics are spot on, Andrejs. It's crucial for decision-makers to cultivate a deeper understanding to bridge the gap and empower their teams effectively. Thank you for shedding light on this important issue.
This is so true—and often underestimated. As tech accelerates, the gap between decision-makers and technical reality widens. Well-intentioned meetings can drain engineering focus without actually bridging that gap. The cost isn’t just time—it’s clarity. What we need are better translators: roles or processes that distill deep tech into actionable insight without pulling engineers out of flow. Solving this isn’t just operational—it’s cultural. Curious to see how others are addressing it too.
Andrejs I'm with you
Thanks for sharing this Andrejs Semjonovs To keep up with emerging trends and rapidly evolving technology, it's essential not only to learn about tools and code but also to understand how they solve real world problems. Learning AI or any new tech isn't just about theory it's about application. We must bridge the gap between knowledge and practical problem solving to stay truly relevant in this fast moving tech landscape.
Insightful, thank you Andrejs
Thanks for sharing Andrejs Semjonovs
paddle guy seems to be unhappy, demoralizing his peers with that attitude, I think he needs to be PIP'ed 😂
Business Development Manager @ SDLC Corp | Driving Software Development, Game Development, and Blockchain Development as a Service.
1moGreat points, Protecting engineers' time is vital for quality work. At my company, we use one meeting-free day each week and share updates via email to keep disruptions low.