1// The skills that will define great knowledge workers are human. Critical thinking, adaptability, and curiosity paired with AI literacy alongside them. The risk isn’t that AI replaces knowledge workers; it’s that those who don’t develop these skills alongside AI fluency will get left behind.
2// Data quality is a key differentiator in a noisy AI era. Everyone has access to models but not everyone has access to reliable, differentiated data. Strategic partnerships with trusted providers, combined with unlocking internal enterprise knowledge, will be a significant unlock for organizations that get this right.
3// AI agents should be treated as co-workers. The teams scaling success are embedding agents into repeatable daily workflows, but it requires ruthless prioritisation and disciplined execution. Tokenmaxxing is becoming a real concern when deploying at enterprise scale.
Thanks to fellow panelists Andrew Cosgrove (EY), Lianne Sherlock (Oliver Wyman), and Dominic King (Accenture) for challenging the status quo!
