The future of work is a human-AI collaboration. The rise of AI doesn’t spell the end of jobs. Instead, it ushers in a new era of human-machine collaboration. This topic will help you understand how to invest in reskilling and upskilling your workforce to thrive alongside intelligent machines. The workforce needs to develop the skills needed to complement AI, such as critical thinking, creativity, and complex problem-solving. By fostering a culture of continuous learning and adaptation leaders can create a future of work where humans and AI work together to achieve extraordinary things.
Imogen Miles Lead Service designer & Richard Goodwin MBA, Managing director, The JGA Group
Katie Heard, Head of research and data insights & Michelle Lofthouse, Programme Lead, The Good Things Foundations
Christopher Gale, busines Development Director, We Are Digital
April 2026
Across sectors, organisations are investing heavily in tools, pilots, and new capabilities, all with the aim of unlocking productivity gains and meaningful outcomes from AI. And yet, for many, that impact remains frustratingly out of reach. I’ve seen some that are stuck in cycles of […]
April 2026
Something is happening to work. Everyone can feel it. But ask for the evidence and you’ll get a dozen contradictory answers, each delivered with equal conviction. Welcome to the most confusing labour market story of our time. In the space of a single week in […]
April 2026
The UK labour market is facing a paradox. Employer confidence is subdued, vacancies have fallen, and hiring has slowed—yet businesses still struggle to find the right talent. At the same time, around nine million working-age adults are economically inactive, many of whom want to work […]
April 2026
The launch of ChatGPT in November 2022 fundamentally changed how we work, learn and even how we plan our holidays. Generative AI (GenAI) offers significant promise: it can streamline tasks such as drafting reports, conducting research, synthesising data, and it is now increasingly embedded into […]
April 2026
Most AI systems are still designed with ideal conditions in mind. They assume fast connections, English-speaking users, and a level of familiarity with digital tools that allows people to navigate interfaces and structure queries in ways systems can easily interpret. From a technical perspective, that […]
April 2026
I’ve sat in enough “digital transformation” meetings to recognise the pattern: we talk about platforms, process redesign, data maturity, governance, adoption. We map the operating model. We choose the tooling. We measure efficiency. And then—somewhere between rollout and reality—everything hits the same bottleneck. A person […]
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April 29 @ 1:00 pm - 2:00 pm
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