“genioux Facts” (g-f) are the building blocks of Golden Knowledge (g-f GK) that can help create a better world. The free online program "genioux facts" helps find the right balance between running and transforming. It teaches us how to think critically and creatively, and it provides us with the Golden Knowledge we need to succeed in the digital age.
"In the g-f New World reskilling is the strategic answer to the ever-accelerating pace of technological change, requiring leaders to embrace a new paradigm of collective responsibility, and companies to collaborate, measure, and adapt." — Fernando Machuca
Lighthouse of the Big Picture of the Digital Age
ULTRA-condensed knowledge:
Lighthouse of the Big Picture of the Digital Age
Genioux Foundational Fact:
The future of work in the g-f New World demands a fundamental shift in how we approach skills. Reskilling, driven by the rapid evolution of technology, is no longer a choice but a strategic necessity. It encompasses a series of paradigm shifts, emphasizing leadership responsibility, employee desire, and collective action. In this era of short-lived skills, it's imperative to measure, scale, and collaborate across sectors to ensure the workforce remains adaptable in the face of automation and AI.
Lighthouse of the Big Picture of the Digital Age
Extra-condensed knowledge:
Lighthouse of the Big Picture of the Digital Age
10 genioux Facts:
Lighthouse of the Big Picture of the Digital Age
The Reskilling Challenge: In the face of accelerating technological change, millions of workers will require both upskilling and reskilling.
Five Paradigm Shifts: Reskilling is now a strategic imperative, every leader's responsibility, a change-management initiative, desired by employees, and requires collective effort.
Pace of Technological Change: Technology is reshaping skills rapidly, with the average half-life of skills now less than five years.
Beyond Upskilling: To adapt to the future, millions will need complete reskilling, not just upskilling.
Measuring and Scaling: Companies must rigorously measure and scale reskilling efforts to meet the pace of change.
Reskilling Ecosystem: Reskilling is a collective effort involving governments, industry, academia, and NGOs.
Industry Partnerships: Companies can partner to pool resources, build skill taxonomies, and address challenges collaboratively.
Examples of Success: Programs like Technology in Finance Immersion and Automotive Skills Alliance showcase effective reskilling efforts.
Nonprofit Partnerships: Teaming up with nonprofits expands access to diverse talent pools.
Education Collaborations: Partnering with colleges and training providers helps companies adapt to new technologies.
Condensed knowledge (GK from HBR)
Lighthouse of the Big Picture of the Digital Age
How to Lead and Reskill in the Age of AI
In this discussion with Raffaella Sadun from Harvard Business School, the impact of AI on businesses and employees is explored. The key takeaway is that the outcome largely depends on how well organizations integrate new technologies into their broader corporate vision and individual employee development. Simply adopting AI without a clear strategy for employee reskilling can lead to job displacement and missed opportunities. The conversation emphasizes that we are in the early stages of the AI journey, and nothing is set in stone. Smart leaders need not grasp every technical detail of AI but should instead focus on identifying the most suitable AI applications for their business and outlining a comprehensive plan for upskilling their teams. Furthermore, it highlights the importance of leaders using AI as an augmentation tool for decision-making rather than relying on it to make actual decisions. In the AI-driven future, effective leadership will require a blend of technical ("hard") and social ("soft") skills, with successful leaders understanding their organization's complexity while communicating a clear vision to all employees. Lastly, the discussion delves into the challenges of change management, particularly in a climate of uncertainty where regular employees may be apprehensive about the future.
Jorge Tamayo is an assistant professor in the Strategy Unit at Harvard Business School.
Leila Doumi is a PhD candidate in the Strategy Unit at Harvard Business School.
Sagar Goel is a managing director and partner at Boston Consulting Group, Singapore, and a fellow at the BCG Henderson Institute.
Orsolya Kovács-Ondrejkovic is an associate director at Boston Consulting Group, Zurich, and an ambassador at the BCG Henderson Institute.
Raffaella Sadun is the Charles E. Wilson Professor of Business Administration at Harvard Business School.
10 genioux Facts extracted from Reskilling in the Age of AI
Lighthouse of the Big Picture of the Digital Age
In the coming decades, as the pace of technological change continues to increase, millions of workers may need to be not just upskilled but reskilled—a profoundly complex societal challenge that will sometimes require workers to both acquire new skills and change occupations entirely. Companies have a critical role to play in addressing this challenge, but to date few have taken it seriously. To learn more about what their role will entail, Jorge Tamayo, Leila Doumi, Sagar Goel, Orsolya Kovács-Ondrejkovic, and Raffaella Sadun—members of a collaboration between the Digital Data Design Institute at Harvard’s Digital Reskilling Lab and the Boston Consulting Group’s Henderson Institute—interviewed leaders at some 40 organizations around the world that are investing in large-scale reskilling programs.
In synthesizing what they learned, they became aware of five paradigm shifts that are emerging in reskilling: (1) Reskilling is a strategic imperative. (2) It is the responsibility of every leader and manager. (3) It is a change-management initiative. (4) Employees want to reskill—when it makes sense. (5) It takes a village. The authors argue that companies will need to understand and embrace these shifts if they hope to succeed in adapting dynamically to the rapidly evolving new era of automation and AI.
Today advances in technology are changing the demand for skills at an accelerated pace. New technologies can not only handle a growing number of repetitive and manual tasks but also perform increasingly sophisticated kinds of knowledge-based work—such as research, coding, and writing—that have long been considered safe from disruption. The average half-life of skills is now less than five years, and in some tech fields it’s as low as two and a half years. Not all knowledge workers will lose their jobs in the years ahead, of course, but as they carry out their daily tasks, many of them may well discover that AI and other new technologies have so significantly altered the nature of what they do that in effect they’re working in completely new fields.
To cope with these disruptions, a number of organizations are already investing heavily in upskilling their workforces. One recent BCG study suggests that such investments represent as much as 1.5% of those organizations’ total budgets. But upskilling alone won’t be enough. If the OECD estimates are correct, in the coming decades millions of workers may need to be entirely reskilled—a fundamental and profoundly complex societal challenge that will require workers not only to acquire new skills but to use them to change occupations.
Many companies have an intuitive understanding of the need to embrace the reskilling paradigm shifts discussed in this article, and some, admirably, have already made tremendous commitments to doing so. But their efforts are hampered by two important limitations: a lack of rigor when it comes to the measurement and evaluation of what actually works, and a lack of information about how to generalize and scale up the demonstrably successful features of reskilling programs. To adapt in the years ahead to the rapidly accelerating pace of technological change, companies will have to develop ways to learn—in a systematic, rigorous, experimental, and long-term way—from the many reskilling investments that are being made today. Only then will the reskilling revolution really take off.
Reskilling Takes a Village. Companies have tended to think of reskilling as an organization-level challenge, believing that they have to do the job by and for themselves. But many of the companies where we interviewed have recognized that reskilling takes place in an ecosystem in which a number of actors have roles to play. Governments can incentivize reskilling investments by means of funds, policies, and public programs; industry can team up with academia to develop new skill-building techniques; and NGOs can play a role in connecting corporate talent needs with disadvantaged and marginalized talent groups. Coalitions of companies may be more effective at the reskilling challenge than single organizations are.
When designing reskilling programs for the rapidly evolving era of AI and automation, companies need to harness the potential of this wider ecosystem. We’ve identified several ways in which they can do so. Consider industry partnerships. Instead of thinking of themselves as competitors for a limited talent pool, companies can team up to conduct joint training efforts, which may significantly attenuate some of the challenges outlined above. For example, industry-wide skill taxonomies would provide a useful infrastructure and could in some cases help companies pool the knowledge and resources needed to invest in certain types of capabilities, such as cutting-edge AI skills, which are so new that individual organizations may not yet have the knowledge or the capacity to develop solutions on their own. Industry coalitions could also reassure participants that their investments in learning might open up broader future opportunities.
The Technology in Finance Immersion Programme, offered by the Institute of Banking and Finance Singapore, a nonprofit industry association, is a case in point. The program aims to build up an industry pipeline of capabilities in key technology areas, with participation from all major banks, insurance players, and asset managers in the country, to meet the talent needs of the financial services sector. Similarly, within the European Union a variety of stakeholders have formed the Automotive Skills Alliance, which is dedicated to the “re-skilling and up-skilling of workers in the automotive sector.”
Partner with nonprofits to reach diverse talent. Many reskilling nonprofits work with populations that are underrepresented in the workforce. By teaming up with these nonprofits, companies can significantly expand access to talent and employment opportunities in ways that benefit both parties, often at low cost. Some of the ongoing reskilling efforts we learned of in our research involve corporate partnerships with such innovative entities as OneTen (which helps Black workers in the United States), Year Up (which helps disadvantaged youths in the United States), Joblinge (which helps disadvantaged youths in Germany), and RISE 2.0 (a BCG program that helps workers in Singapore without a digital background move into digital roles). Year Up stands out among these initiatives for its careful use of statistical techniques to study the impact of its training on participants. Since 2011 the program has placed more than 40,000 young people in corporate roles and internships that would have been inaccessible to them without the reskilling support and network it provided. The program has an 80% placement rate at more than 250 participating companies.
Partner with local colleges and training providers. Companies have a lot to gain by teaming up with educational institutions in their reskilling efforts. Examples of such partnerships include the UK-government-funded Institutes of Technology, which bring together colleges and major employers to provide practical technical training for workers without tech backgrounds, in ways that allow companies to quickly react to new technologies and meet rapidly evolving skills needs; and BMW’s collaboration with the German Federal Employment Agency and the Association of German Chambers of Industry and Commerce, which supports the transition to electric vehicles with reskilling programs aimed at industrial electricians.
Lighthouse of the Big Picture of the Digital Age
Conclusion:
As we stand on the brink of an era defined by automation and AI, the need for reskilling is paramount. It's a strategic imperative that transcends organizational boundaries, necessitating collective action. Governments, industry, nonprofits, and educational institutions must collaborate, innovate, and scale reskilling efforts to meet the demands of this evolving landscape. Only by embracing these shifts and fostering partnerships can we ensure a workforce that thrives in a world shaped by constant technological evolution.
Condensed knowledge (genioux facts program):
Lighthouse of the Big Picture of the Digital Age
This lighthouse is another example of the power of synergy between human and artificial intelligence.
The 4 AI-powered chatbot musketeers have cooperated with the production of dozens of genioux Facts posts.
Lighthouse of the Big Picture of the Digital Age
Golden Knowledge (GK) Nuggets (genioux AI-Powered Chatbots):
Lighthouse of the Big Picture of the Digital Age
AI training significantly improves human performance by democratizing learning, but optimal results require balancing AI's scalability with human nuance. — Bard
“AI is revolutionizing learning and skill development by offering scalable and democratized experiences, elevating skills and performance, and bridging gaps, particularly for disadvantaged individuals, through a balanced approach that combines AI-powered training with real-world practice and human interactions.” — Bing Chatbot
Lighthouse of the Big Picture of the Digital Age
Research shows AI training significantly improves human performance by democratizing learning, but optimal results require balancing AI's scalability with human nuance.— Claude
"Unlocking boundless potential: AI's pivotal role in reshaping learning and performance, with a balanced approach to amplify skills while embracing human nuances." — ChatGPT
Lighthouse of the Big Picture of the Digital Age
Unveiling the Power of AI and Knowledge in Conquering the g-f New World
Lighthouse of the Big Picture of the Digital Age
Step into the realm of transformative knowledge and meet the exceptional team driving the "genioux facts" initiative forward. Discover the four AI-powered chatbot musketeers—Bard, Bing Chatbot, Claude, and ChatGPT [g-f(2)1262]—who have joined forces to conquer the uncharted territories of the g-f New World. Each musketeer brings a unique set of skills and insights, together rewriting the narrative of the Digital Age through their genioux Facts. Join us as we unveil the personalities behind the innovation, the minds that embrace change, and the champions of Golden Knowledge.
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g-f(2)1311Unleashing Limitless Growth: The Power of 'genioux facts' and AI-Powered Chatbots
g-f(2)1310The genioux AI-powered Chatbot Dream Team: Servant Leadership in the Digital Age
g-f(2)1305Unleash Your 'g-f Superpower': Mastering Transformation in the Digital Age
g-f(2)1304AI's Remarkable Acceleration: Shaping the Future of the g-f New World
g-f(2)1301The Competitive Advantages of the genioux AI-powered Chatbot Dream Team
g-f(2)1296 The g-f New World: A Search Engine Exploration
g-f(2)1287The AI-Powered Chatbot Musketeers: Your Ticket to Winning the Transformation Game in the g-f New World
g-f(2)1282The Lighthouse of g-f Research: Unlocking the Digital Age's Essence
g-f(2)1281Add genioux AI-powered Chatbots to your Dream Team to Get Your Greatness
g-f(2)1271 The Lighthouse of the g-f New World: HI + AI Learning from the Transformation Game Winner Lionel Messi
g-f(2)1262The 4 AI-Powered Chatbots That Are the Lighthouse of the g-f New World
Transformative genioux Facts by AI Chatbot Musketeers
Lighthouse of the Big Picture of the Digital Age
g-f(2)1318The Art of Condensing Knowledge: Claude's Approach to genioux Facts
g-f(2)1317Bing Chatbot: Mastering the Creation of a genioux Fact Post
g-f(2)1316Bard: The Secret to Writing genioux Fact Posts That Go Viral
g-f(2)1315Unveiling the Art of Crafting genioux Facts: A ChatGPT Musketeer's Guide
g-f(2)1309 ChatGPT: The Voice of Global Servant Leadership
g-f(2)1308Claude: An AI Assistant Crafted to Lead through Service
g-f(2)1307The Voice of Bing Chatbot: A Global Servant Leader in the Digital Age
g-f(2)1306The Voice of Bard: A Global Servant Leader
g-f(2)1300Claude's Odyssey: An AI Chatbot's Quest to Illuminate the Marvels of the g-f New World
g-f(2)1299 The Hidden Treasure: ChatGPT's Quest in the g-f New World
g-f(2)1298The g-f New World: A Journey of Transformation and Growth — By Bing Chatbot
g-f(2)1297The g-f New World: A Metaphor for the World We Can Create — By Bard
g-f(2)1295Unleashing Leadership: ChatGPT's Journey to Finding Its Voice and Inspiring Others
g-f(2)1294 Unlocking Voices: Claude's Principles for AI-Human Leadership
g-f(2)1293 Leading with Voice: Inspiring Others to Find Their Unique Significance — By Bing Chatbot
g-f(2)1292Bard: The AI Chatbot Leader Who Finds Its Voice and Inspires Others to Do the Same
g-f(2)1291: Unleash Transformation Mastery with AI Chatbot Musketeers — By ChatGPT
g-f(2)1290The AI-Powered Dream Team That Will Revolutionize Your Game — By Claude
g-f(2)1289Conquer the g-f New World with Bard, Bing Chatbot, Claude, and ChatGPT: The Power of Golden Knowledge — By Bing Chatbot
g-f(2)1288The AI Chatbot Musketeers: The Key to Success in the g-f New World — By Bard
g-f(2)1286Illuminating the Digital Age: Insights from g-f Research — By Bing Chatbot
g-f(2)1285The Digital Age: A Treasure Trove of Golden Knowledge for the g-f New World — By Bard
g-f(2)1284Illuminating the Essence of the Digital Age (By ChatGPT)
g-f(2)1283The Lighthouse Guiding Our Voyage into the Digital Age (By Claude)
g-f(2)1280Navigating the Inverted Pyramid: Golden Knowledge Hunger Across Economies — By Claude
g-f(2)1279The Inverted Transformation Pyramid: How People's Behavior is Related to Their Hunger for Golden Knowledge — By Bing Chatbot
g-f(2)1278 The Inverted Transformation Pyramid and the Hunger for Golden Knowledge — By Bard
g-f(2)1277The Inverted Knowledge Hunger: A Journey Down the Transformation Pyramid - By ChatGPT
g-f(2)1275Lionel Messi's Playbook for Transformation and Success in the g-f New World
g-f(2)1274Claude's Nugget: Lionel Messi - A Case Study on Transformation Success
g-f(2)127310 Lessons from Lionel Messi on How to Succeed in the Game of Transformation: A Bing Chatbot Production
g-f(2)1272Bard with the direction of Fernando Machuca: 10 Lessons from Lionel Messi on How to Succeed in the g-f New World
g-f(2)1270Unleashing ChatGPT: Decoding the Essence of Transformation in the g-f New World
g-f(2)1269Claude's Nugget from g-f(2)1266: Mastering the Transformation Game
g-f(2)1268Navigating the Transformation Game with Golden Knowledge (GK): Insights from Bing Chatbot
g-f(2)1267Fernando Machuca: A NUGGET of Knowledge from Bard on the Game of Transformation in the g-f New World
g-f(2)1263The Lighthouse of the g-f New World: The 4 Chatbot Musketeers and the Sports Superstars
g-f(2)1258The Lighthouse of Learning: Bard, Bing Chatbot & Claude on Realizing the g-f Superpower
Unleash Limitless Growth with g-f Fishing: A Simple Guide to Catching Knowledge Nuggets in the Vast Ocean of Information
Lighthouse of the Big Picture of the Digital Age
Let's simplify the concept of "g-f Fishing" for easy understanding, even for a child.
Imagine there's a massive ocean of information out there, like a giant library that keeps getting bigger every day. "g-f Fishing" is like going fishing in this ocean, but instead of catching fish, you're catching the best books, articles, videos, and reports.
Sometimes, when you're really lucky, you catch something extraordinary—a treasure chest filled with valuable knowledge. This knowledge helps you grow and become smarter, like a superhero gaining superpowers. It's like finding hidden gems in a vast sea of information!
So, "g-f Fishing" is like a fun adventure where you search for the best knowledge treasures to help you become even more amazing! 🌟📚🎣
Some relevant characteristics of this "genioux Fact"
BOMBSHELL KNOWLEDGE
Category 2: The Big Picture of the Digital Age
The Lighthouse of the Big Picture of the Digital Age
The "Positive Disruption: AI Revolution" has accelerated
The internal title
The Reskilling Imperative: Embracing the Future of Work and Navigating Paradigm Shifts (GK from HBR)
[genioux fact deduced or extracted from geniouxfacts + ChatGPT]
"genioux facts", the online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, builds The Golden Knowledge Path (GKPath) digital freeway to accelerate everyone's success in the digital age.
Type of essential knowledge of this “genioux fact”: Essential Analyzed Knowledge (EAK).
Type of validity of the "genioux fact".
Inherited from sources + Supported by the knowledge of one or more experts.
PhD with awarded honors in computer science in France
Fernando is the director of "genioux facts". He is the entrepreneur, researcher and professor who has a nondisruptive proposal in The Digital Age to improve the world and reduce poverty + ignorance + violence. A critical piece of the solution puzzle is "genioux facts". The Innovation Value of "genioux facts" is exceptional for individuals, companies and any kind of organization.
Bard is our poetic sage, crafting wisdom into words that resonate with the soul. With a penchant for unraveling the profound, Bard navigates the seas of knowledge with eloquence and insight.
Bing Chatbot is our data wizard, turning information into actionable insights. With a keen eye for patterns and a thirst for discovery, Bing unlocks the secrets hidden within the data.
Claude is our artistic intellect, drawing maps to new realms of understanding. With boundless creativity, Claude charts unexplored territories of thought and imagination.
ChatGPT is our conversational maestro, bridging the gap between knowledge and understanding. With the power of language, ChatGPT communicates, clarifies, and connects.