Sometimes you find yourself sending very similar information and links to different people - over and over again. So I’m fixing that. Back in the early days of the web, people used to publish links to stuff they found interesting. Sometimes it actually was. The challenge is that the links got long and unmanageable - who has the time? PLUS, just because I am interested - doesn’t mean that you automatically are. This page is a modern version of that principle and is ‘close to’ automatically generated as a result of our conversation.
The information on this page lies at the intersection of three things.
These links go to their personal web sites, best way of grokking the thinking.
We have many partners all over the world. A selection that are relevant to our conversation.
The humane world of Ursula Franklin, a scientist who wanted us to question technology | CBC Radio
I literally have hundreds. These are a few that came to mind as we were talking today.
John Philpin - Founder, People First - john@peoplefirst.vision
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💬 Who Said it
💬 Who Said it
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The particular comment I was responding to was in a private group hosted in New Zealand - hence the opening paragraph. BUT - I think it pertains to any country. In that post, this link was provided — I think New Zealand has more businesses (and hence ‘small’ businesses) per capita than pretty much any New Zealand just doesn’t have the people to support it.
BUT - when you leave New Zealand … there has been something happening for a while now. I will try to discover the article I wrote a while back ….
Here’s the nub … In the US (but I am pretty sure this applies to most countries) 50 to 60 years ago, big employers like GM and GE were the dominant market cap companies on the financial exchanges. Not entirely un-coincidentally, they were also the companies that employed the most people. Fast forward to today … the market caps of the biggest companies are an order of magnitude higher than the ones back then and the number of people they employ is an order of magnitude less. Meanwhile the population of America has doubled? Tripled?
So where are all those people now working? Answer small … or at least smallER businesses.
Some of this has been achieved by improved efficiencies … we no longer need banks of people directing calls, typing up documents, manufacturing cars …. But also … since the 70s there has been a steady drip of those organizations getting those people ‘off the books’ .. why employ people if you can off shore, outsource, automate processes … and the new one - use AI. The result is that more and more people are in smaller and smaller businesses but often working in service to a larger organization.
Quite simply - If I am building a house (actually - or metaphorically) .. do I employ everyone full time … or contract with the right resources at the right time to get the job done?
Tongue in cheek .. but for the longest time, I have had this vision of the ideal company comprising a single individual with ‘agents’ managing their ‘virtual supply chain’ that they need to deliver value to their customers.
This thought informs the graphic below - ‘The Business Equation’ - and is foundational thinking in the People First domain.
business equation Work archive.pf.business
1. Stay informed: Keep up-to-date on the latest developments and trends in AI and automation, and how they are affecting your industry and job market.
2. Develop new skills: Continuously learn new skills to stay relevant in the job market, such as programming, data analysis, or other skills related to AI.
3. Pursue higher education: Consider obtaining a degree or certification in a field related to AI, such as computer science or data science, to prepare for the jobs of the future.
4. Explore new career opportunities: Look for opportunities to work with or alongside AI, such as in fields like robotics, automation, and machine learning.
5. Be adaptable: Embrace new ways of working and be open to adapting to changing work environments as AI and automation continue to transform the workplace.
Photo by Andrea De Santis on Unsplash
6. Build a strong professional network: Connect with other professionals in your field and seek out mentorship and guidance to stay up-to-date on the latest developments in AI.
7. Be creative: Explore new ways of applying your skills and expertise to stay ahead of the curve and capitalize on emerging opportunities in the AI economy.
8. Consider entrepreneurship: Starting your own business or pursuing self-employment can provide greater control over your livelihood and allow you to take advantage of emerging opportunities in the AI economy.
9. Advocate for policies that support workers: Encourage policymakers to create policies that support workers and address the potential negative impacts of AI on employment, such as job retraining programs and income support for displaced workers.
10. Stay positive: Embrace the potential benefits that AI can bring, such as increased productivity and efficiency, and stay positive about the opportunities that lie ahead.
chatGPT Work archive.pf.business