2. Embed learning into everyday activities

Other innovators are focused on embedding learning into everyday work activities so that workers are continuously growing their skillsets and expanding their capacity to fulfil future workforce needs. For example, Canadian start-up Axonify has pioneered the idea of ‘microlearning’ in which employees spend three to five minutes per shift on learning and performance improvement activities that are matched to their individual needs by an AI algorithm.

3. Match workers to new opportunities

While AI-driven reskilling can help prepare workers for the disruptions underway, there is still an enormous need to match workers to new opportunities being created. AI can help here too, and start-ups like SkyHive and Kalido have created AI-driven platforms that connect workers to new opportunities within and outside their current organizations, based on their individual skillsets, career goals, and retraining needs.

4. Prepare the next generation of workers

AI is not only being used to future-proof today’s workers and match them with tomorrow’s opportunities but also to prepare the next generation of workers for a future disrupted and transformed by technology. Recent years have seen an explosion in AI-powered education technology (EdTech) tools to improve learning outcomes at the K-12 level, primarily in the developed world but increasingly amongst less privileged populations.

For example, New Delhi-based start-up ConveGenius has targeted the 100 million students in India with the most limited access to quality teaching, using AI to assess each student’s learning needs and deliver the educational content they need to succeed as workers and citizens. Scores of other start-ups are racing to address this significant business challenge and seize the opportunity to upskill and reskill workers for the future.

AI as part of the solution

No single technology will solve all the problems facing workers today. Achieving a just transition to a positive future of work will require smart government policies, ambitious corporate programs, and individual action by workers in addition to new technologies.

But as we work to improve our responses to the disruptions underway, we should encourage innovators and entrepreneurs to focus on new ways to use AI technologies to empower the workers of today and create exciting new opportunities for the workers of tomorrow.