The Learning Curve - Learning at Work Week 2026
This month, The Learning Curve dives into what it really takes to lead with AI today. As organizations move from pilots to full adoption, skills, culture, and learning all need to keep up.
Inside, you'll find insights on leading the future with AI, building momentum at the critical AI skills inflection point, and exploring the many ways to learn during Learning at Work Week. From structured leadership pathways to practical sessions you can join this week, it's all about making learning work in the real world.
Build the skills that move organizations forward, with QA.
Ways to Learn this Week
Learning at Work Week is a chance to step back from day‑to‑day demands and focus on building the skills that drive real performance. Running from May 18–24, QA’s Learning at Work Week program brings together a full lineup of free, practical sessions designed to support learning in fast‑changing workplaces.
This year’s program features expert‑led webinars across AI, cybersecurity, agile, and core business skills, including:
- Democratizing AI: Citizen Developers and the Rise of Lightweight Agents – how non‑technical teams are creating practical AI solutions across the business
- AI and Future Careers – how AI is reshaping roles, workflows, and decision‑making
- In Cybersecurity, Everything Is a Priority. Now What? – practical guidance for leaders managing competing security demands
- Visual Thinking Superpowers for Agilists – a hands‑on session to unlock creativity, collaboration, and clearer thinking
- Project Management Qualifications: Hype, Help, or Happy Medium? – a practical look at when certifications add value and when they don’t
Explore the full Learning at Work Week calendar and register for the sessions most relevant to your role.
In Cyber Security, Everything Is a Priority. Now What?
A Practical Session to Support Cybersecurity Leaders in Mitigating Pressure
Cybersecurity leaders operate in environments where everything is a priority and, in turn, urgency is constant, levels of prioritization change rapidly, and decisions must be made quickly (often with very incomplete information). These conditions create constant pressure, which, over time, becomes the background of the job becoming so normalized that many leaders stop noticing how it’s shaping the way they think, decide, and lead. Bringing the sources of pressure to the forefront is the first step toward navigating it more effectively.
We will first examine the behavioral signals that pressure is accumulating, including narrowed thinking, impatience, slowed recovery from crises, difficulty disconnecting from work, and a deepening sense of isolation. These are not leadership failures or due to a lack of competence they are natural human responses to sustained pressure in high-stakes environments.
Participants will then identify the sources of pressure shaping their work to start making the invisible visible, which will open the door to addressing those sources with precision.
By the end of the session, leaders will leave with greater clarity about the pressure shaping their leadership and a concrete next step to begin navigating it more effectively.
Cybersecurity will always involve high stakes and constant demand. The goal of this session isn’t to eliminate pressure, it’s to help leaders better understand that pressure and gain practical ways to mitigate it.
The AI Skills Inflection Point: From Experiment to Enterprise Advantage
AI has reached an inflection point. What began as isolated experiments is now a core business capability, and organizations that fail to build AI skills at scale are already falling behind. As Danny Jessee puts it:
"AI is no longer a specialized skill set. It’s becoming foundational across roles, from technical teams to business leaders. The organizations that win will be those that intentionally build and operationalize AI capability across the enterprise.”
This shift changes how learning needs to work. Value no longer comes from a handful of experts, but from shared AI fluency across teams. Leaders can then prioritize use cases, redesign workflows, govern responsibly, and move from pilots to production with confidence.
The big idea is clear. AI advantage isn’t about access to tools, it’s about validated, applied capability that keeps pace with change. That’s where Learning at Work Week plays a critical role, spotlighting practical, role‑relevant learning that helps organizations turn AI momentum into real performance.
Read the full blog to see how organizations are moving from AI potential to enterprise‑wide results.
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