AI: The Polar Jet Effect
Scott Hebner
Principal Analyst for AI | Advisory Board Member l Former Technology Executive
There is little doubt that #AI represents the transformative force of our lifetime. This is why 9 of 10 are accelerating spend in AI with a majority declaring it their #1 investment priority. Collectively, they envision double-digit gains in productivity beyond the current 3% gain reported by the BLS in 2023*.
However, the most critical imperative of all is sitting somewhere up in the stratosphere within most organizations, lacking the critical attention it needs. It’s the imperative to win the battle for the best PEOPLE.?
Simply put - Organizations don't do things, PEOPLE do. ?It's never been truer than with AI for business.?
Yet, a large majority of execs report a growing gap between AI investments and workforce readiness*. Few say they understand their AI skill profiles or even how to define those needs. Furthermore, 87% can't find AI talent they need while 39% of workers are considering leaving to find new AI-savvy jobs.
Its a story is a story of two colliding forces that will create TAILWINDS for some and HEADWINDS for the rest.
Consider an analogy, the POLAR JET: a condition that occurs in the jet stream when unusually warm and cold air masses collide in the stratosphere to produce intensifying winds. When flying into the headwinds the journey will be 4x more turbulent, 20-30% slower and 50-60% more costly. For those in the tailwinds, they’ll experience the opposite.
Within the context of the AI skills marketplace, accelerating DEMAND (warm air) is now colliding with increasingly limited SUPPLY (cold air) to create a defining moment. Those that act quickly to secure the best talent will ride tailwinds to success while the rest will face the headwinds of dwindling skill availability and growing acquisition costs. ?At stake is a smoother journey to AI, lower costs, and faster time-to-value.
Overall, AI is the #1 job creation category as a fraction of overall employment* holding a 2.3% penetration rate, up from 0.5% in 2015 – a 5x expansion! ?This will only accelerate as businesses’ rank AI as top reskilling priority, jumping 12 positions last year. Employers are also willing to pay an average of 47% more for the best AI skills*.? And to make things worse, the demand for an AI education is 4.4x capacity at US universities and 2.6x for data science programs, which will slow new entrants into the AI labor force.
Clearly, the conditions have been set for an increasingly turbulent AI talent marketplace, as AI job openings grow faster than job seekers.
To bring it all home, let’s explore the supply and demand dynamics within three critical AI skill categories: Engineers, Researchers and Executives
And why its time to create a sense of urgency before it’s too late.?
AI Engineers
For those that build AI solutions …
AI Researchers
For those that architect advanced AI models (GenAI, LLM, Neural Nets, etc.) …
领英推荐
?AI Executives
For those responsible for realizing business impact and ROI from AI investments …
Cleary, as the supply and demand dynamics indicate, businesses need to create a sense of urgency to secure the AI talent they'll need, now rather than later, before it’s too late.
The “Polar Jet” is intensifying.? Get into the tailwinds, else risk an uncertain future.
And finally, I have been active in helping businesses source great, cost-effective AI talent, so if I can help you, please reach out!
Sources:
(1)????? World Economic Forum
(2)????? Pluralsights
(3)????? Amazon
(4)????? US Bureau of Labor Statistics
(6)????? US Bureau of Labor Statistics
(7)????? Heidrick and Struggles
(8)????? edX Workplace Intelligence
(9)????? Vox - Gartner Group
VP of Talent Network > 17.000+ Vetted High-Performing Remote Tech Talents & Teams
9 个月``Overall, AI is the #1 job creation category as a fraction of overall employment* holding a 2.3% penetration rate, up from 0.5% in 2015 – a 5x expansion!`` great insights Scott Hebner
Business Growth Manager @TechRemote
9 个月Great insights Scott Hebner ?? Investing in reskilling programs, upskilling existing employees, and offering competitive compensation are key steps to secure a smoother journey towards AI success.