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Making AI Work for Every Employee: What Leaders Need to Get Right
Plus: 2016 Was The End of Social Media
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Making AI Work for Every Employee: What Leaders Need to Get Right
2016 Was The End of Social Media
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Making AI Work for Every Employee: What Leaders Need to Get Right
How Leaders Can Make AI Work for Every Employee
Initial Summary
In a moment when AI is reshaping how knowledge work gets done, leaders face a practical problem: the tools alone do not equal better results. The latest thinking suggests that how teams are taught to use AI and where it is embedded in work matters much more than simply handing tools to employees. Without clear context, training and expectations, AI can widen performance gaps instead of closing them.
Key Takeaways
Provide AI literacy that prioritises judgement over output
Employees who lack a strong foundation in analytical thinking risk taking poor recommendations from generative AI at face value. Leaders should coach teams to evaluate context, assumptions and quality rather than accept AI output uncritically.
Integrate AI into real workflows, not as optional add-ons
If companies require after-hours courses or isolated training, adoption stalls. A more effective approach is to build AI into daily tasks with clear guidance on where it supports work and where human decision making remains essential.
Reward substantive quality rather than volume
Focusing on how many tasks are completed with AI encourages low-value output. Leaders should incentivise thoughtful ideas and transparent reflection on how AI was used and improved, making quality a core metric.
Why It Matters
As AI becomes ubiquitous in business, the companies that truly succeed will be the ones that build human judgement into its use. This matters for leadership because it shapes performance, culture and competitive advantage. Teaching teams how to think with AI — not just how to use it — protects decision making, reinforces trust and ensures technology amplifies rather than undermines human capability.
It’s actually a little shocking to examine how social media has transformed since 2016. Here in 2026, we accept the omnipresence of social media as status quo, but in 2016, the media landscape looked much different, and I’m not just talking about Snapchat filters.
First off, TikTok didn’t exist. As much as we all love to hate to be addicted to TikTok, my personal opinion is that the platform has ushered the end of human empathy and intelligence. But that’s another conversation! Twitter hadn’t been bought by Elon Musk; we know how that’s turned out. Vine was at its peak. Snapchat was for the cool kids. Facebook was around a decade old, the friendly elder statesman. It’s Instagram I want to talk about, though.
I would argue IG is the platform that has had the most transformative effect on how we communicate and market. 2016 heralded changes that morphed Instagram from a true “social” experience into a multibillion-dollar advertising platform. 2016 was the final days of the innocence and authenticity which made Instagram successful from the jump.
Remember When Instagram Was Fun? No stories, no reels, no carousels, barely any ads, chronological, worldwide. Hashtags were everything. The big new feature was being able to post a photo that wasn’t square. The word “influencer” wasn’t yet in the dictionary. This was Instagram as 2016 began.
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🧠 Today We Learned: Nearly half of Fortune 500 companies from the year 2000 no longer exist today. Most did not fail overnight. They were outpaced by faster decision making, changing customer expectations and new business models.
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