𝟱 𝘄𝗮𝘆𝘀 𝘁𝗼 𝗯𝗿𝗶𝗱𝗴𝗲 𝘁𝗵𝗲 𝘀𝗸𝗶𝗹𝗹𝘀 𝗴𝗮𝗽 𝗔𝗜 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗰𝗿𝗲𝗮𝘁𝗲𝘀
Technology changes are one of the sources and often the solution for the skills gap companies are increasingly experiencing.
On the bright side, these technologies obsolete the dependancy to hire for skills which can be automated and create a surplus of capacity which can be redeployed.
A down side is that the demand of skilled and qualified workers for the new roles AI & Automation enables and the supply from the labor market or up-skilling programs often mismatches.
And this cannot be remediated through hiring only.
The stiff competition for skilled professionals able to work with AI, Data, ServiceNow, RPA, Strategic Procurement, UX is likely to persist.
It takes a dedicated effort by companies offering skills training opportunities and a workforce open to life-long learning.
Find here 𝟱 𝗽𝗼𝘀𝘀𝗶𝗯𝗹𝗲 𝘄𝗮𝘆𝘀 to proactively prepare to bridge the skill gaps:
1.) 𝗣𝗮𝗿𝘁𝗻𝗲𝗿𝘀𝗵𝗶𝗽 𝘄𝗶𝘁𝗵 𝗔𝗰𝗮𝗱𝗲𝗺𝗶𝗮 to create tailored programs to elevate the capabilities of a company. Example here: Moderna's collaboration with Carnegie Mellon on their "AI Academy" to transform to a digital-first culture.
2.) 𝗨𝗽-𝘀𝗸𝗶𝗹𝗹𝗶𝗻𝗴 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝘀 funded as an investment into a future-ready workforce. Example: Amazon's Upskilling 2025 pledge investing 1.2 Billion into education access, skills training, apprenticeship schemes & college tuition.
3.) 𝗖𝗲𝗻𝘁𝗲𝗿𝘀 𝗼𝗳 𝗘𝗻𝗮𝗯𝗹𝗲𝗺𝗲𝗻𝘁 - set up to consolidate knowledge within an organisation to condense and disseminate capability trainings and skills programs. Example: CoE's for Process Mining, Intelligent Automation, Continuous Improvement / Process Excellence
4.) 𝗠𝗲𝗻𝘁𝗼𝗿𝘀𝗵𝗶𝗽 & 𝗥𝗼𝘁𝗮𝘁𝗶𝗼𝗻 programs - build mentorship and rotation programs to tackle skills development of people transitioning to new roles and ready them to acquire the necessary capabilities through coaching and experience
Example: Mentoring networks supporting skill transfer from seasoned experts to young talents
5.) 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 further removing dependency levels on cognitive skills which can be supported by AI. Example: automate simple coding and cybersecurity tasks to free-up time for experts to focus on major projects and reviews
❓Any other approach which could help to bridge the skills gap
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