Recent data from The TalentLMS 2026 L&D Benchmark Report reveals a 19-point perception gap on AI learning support. 83% of HR leaders believe they actively support AI learning, but only 64% of employees agree. This extremely polarized viewpoint raises an uncomfortable question: If leaders are this far off on AI skills support, what else might they be misreading about their teams' capabilities?
To successfully repair after a mistake, you need to acknowledge and name the mistake, validate the other person's feelings and viewpoint, and create a plan for the specific actions you will take to prevent this mistake from occurring again.
I see this daily in veterinary medicine, where high burnout rates cost the sector upwards of $2 billion per year. It's a challenging environment with long hours, stressful workloads and patients that can't even tell you what's wrong. But I've found that the best way to boost performance and even increase capacity with maxed-out teams is to address the underlying operational issues.
When it comes to accountability, it's not enough to chant the slogan around the office and hope people get it. Asserting that you're the type of boss who holds people accountable isn't enough to do the trick. Your team must trust and believe that there is a fair and accurate process for keeping track of their actions and tying their behavior to real consequences.
