Snowfire.AI转发了
CEO at Snowfire AI / Disrupting the $575B AI-Data Analytics Space w/AI Signals & Decision Intelligence. Patented Inventor of Cyber SecOps Maturity Model
There’s a lot of AI talk out there, but Ross Dawson is on target w/this 2030 breakdown IMO and Snowfire.AI is 100% aligned in supporting the areas of AI Data Analytics, AI Decision Intelligence, and AI Executive Empowerment. This visual is a deep representation of the value drivers that will empower an evolved use of AI to improve how we best use time; eg driving a higher value or ROI on the overall use of “compute + human capital” globally. If you’re leveling up right now and preparing for the AI Economy, or looking to align your skills around the key AI competencies going into 2030 - these are the areas that you can align with to continue to have a fruitful career as the AI economy expands quickly around us all.
Futurist | Board advisor | Global keynote speaker | Humans + AI Leader | Bestselling author | Podcaster | LinkedIn Top Voice | Founder: AHT Group - Informivity - Bondi Innovation
The most important skills today and in the next years will be human capabilities: critical and analytic thinking, resilience, leadership and influence, overlaid with technological literacy and AI skills to amplify these human capacities. World Economic Forum's new Future of Jobs Report provides a deep and broad analysis of the drivers of labour market transformation, the outlook for jobs and skills, and workforce strategies across industries and nations. It's a really worthwhile deep dive if you're interested in the topic (link in comments). Here are some of the highlights from the Skills section, which to my mind is at the heart of it. ?? Analytical Thinking Leads Core Skills. Skills like analytical thinking (70%), resilience (66%), and creative thinking (64%) top the list of core abilities for 2025. By 2030, the emphasis shifts even more towards AI and big data proficiency (85%), technological literacy (76%), and curiosity-driven lifelong learning (79%). This shift underscores the critical role of technology and adaptability in future workplaces. ?? Skill Stability Declines but at a Slower Rate. Employers predict that 39% of workers' core skills will change by 2030, slightly lower than 44% in 2023. This reflects a stabilization in the pace of skill disruption due to increased emphasis on upskilling and reskilling programs. Half of the workforce now engages in training as part of long-term learning strategies compared to 41% in 2023, showcasing the growing adaptation to technological changes . ?? Economic Disparities in Skill Disruption. Middle-income economies anticipate higher skill disruption compared to high-income ones. This disparity highlights the uneven challenges of transitioning labor forces across global regions, particularly in economies still grappling with structural changes. ?? Tech-Savvy Skills in High Demand. The adoption of frontier technologies, including generative AI and machine learning, is increasing the demand for skills like big data analysis, cybersecurity, and technological literacy. These trends indicate that businesses are aligning workforce strategies to integrate these advancements effectively. ?? Upskilling Is the Norm, Not the Exception. By 2030, 73% of organizations aim to prioritize workforce upskilling as a response to ongoing disruptions. This reflects a shift in corporate investment priorities towards human capital enhancement to maintain competitiveness.
