The future was yesterday

What happens when organizations introduce powerful AI tools before understanding the work they need to improve—or preparing the people who have to use them?

Trehan Stenton is an AI integration partner who helps organizations turn emerging technologies into operational change. Originally from New Zealand, he brings experience as a business owner, including building a multi-location dental practice, alongside work in marketing, sales, service, technology and change management.

Trehan believes AI represents a revolutionary change, but that organizations need to approach its implementation evolutionarily: understanding their objectives, getting the basics right, and bringing their people along on the journey.

In this conversation, he explains why introducing AI into a poorly understood process can amplify existing problems rather than solve them. Before automating work, organizations need to understand how that work is performed, where value is created, and what outcome they are trying to achieve.

We also explore a longer-term question: if AI takes over some repetitive tasks, how will younger workers develop the experience traditionally gained through entry-level roles? Trehan considers a future in which emotional intelligence, discernment, curiosity, customer understanding and cross-functional experience become increasingly important.

The central idea is simple: don't start with the tool. Start with the people, the process and the outcome.

In this episode:

00:00 – Introducing Trehan Stenton and AI integration
02:53 – Why AI is revolutionary, but implementation must be evolutionary
03:30 – Reinventing the business instead of simply automating tasks
04:00 – Why AI can amplify broken processes
05:18 – Governance, guardrails and building trust in AI
07:08 – Curiosity, ambiguity and learning to ask better questions
08:30 – Why leaders may need to slow down to go faster
11:31 – Managing the “beautiful chaos” of modern work
14:17 – Job security and explaining the purpose of AI adoption
15:30 – Moving beyond cost-cutting toward better customer outcomes
16:35 – Why people must challenge and validate AI-generated answers
19:06 – Are organizations investing enough in the human side of AI?
22:06 – Why AI pilots need realistic expectations and clear measures
24:47 – The growing importance of change management
26:00 – Teaching discernment and making experimentation safe
29:26 – If entry-level tasks disappear, how will future leaders learn?
31:03 – Emotional intelligence, career paths and cross-functional experience
35:17 – Developing an entrepreneurial mindset inside organizations
36:19 – Understanding customer needs as a source of business value
40:53 – Trehan's advice for the future of work

Trehan Stenton is an AI integration partner with experience spanning business ownership, marketing, sales, customer service, technology and strategy.

The Future Was Yesterday explores how technological change is reshaping work—how work is organized, how organizations and society are affected, and how people can adapt.

Each episode starts with a person doing something interesting at the frontier of technological, economic or social change. From there, we explore what their experience can teach us about the world of work that is already emerging.

If you found this conversation useful, follow the podcast and share it with someone thinking about how AI and technological change are affecting their work or industry.

You can find me on LinkedIn or write to [email protected].

Find out more about SAULE.

Thanks for listening. We learn from each other.

See you soon.

Keywords: AI adoption, AI implementation, AI change management, future of work, business process automation, AI governance, AI integration, organizational transformation, human-AI collaboration, AI and leadership, employee engagement, AI job displacement, future of leadership, critical thinking, customer experience, digital transformation

What happens when AI makes information and execution easier—but the trust, judgment and human relationships needed to use that technology well become even more important?

Adeline Tiah has spent 28 years in corporate roles across telecommunications and banking, followed by nearly a decade in professional coaching. Today, she works with leaders and organizations to build team engagement, psychological safety and high-performing teams.

In this conversation, Adeline argues that psychological safety is not simply a matter of making people feel comfortable. It has direct consequences for business performance. When employees fear the consequences of speaking up, organizations lose ideas, opportunities and warnings they may need to adapt.

She calls this the “silence bill”: the business cost of the things people don't say.

As AI accelerates change, that cost may become even more significant. Employees may worry about their jobs, leaders are under pressure to deliver today while preparing for tomorrow, and organizations must make decisions in an environment where reliable long-term forecasts are increasingly difficult.

Adeline believes this calls for a different kind of leadership—one based less on title and more on trust. As AI makes information more accessible, a leader's value increasingly lies in creating the conditions for people to collaborate, challenge assumptions and do their best work together.

In this episode

00:00 – From corporate leadership to coaching
01:46 – Why uncertainty makes psychological safety more important
03:34 – How hierarchy and internal competition erode trust
04:50 – The importance of being able to disagree safely
06:16 – The “harmony trap” and the cost of silent disagreement
07:55 – The “silence bill”: the business cost of withheld ideas
09:25 – Cultural differences, trust and communication
12:25 – What coaching really does: challenging assumptions and blind spots
15:23 – How AI changes work, leadership and employee anxiety
17:50 – Entrepreneurial leadership in an unpredictable environment
21:21 – Why education must move beyond transferring knowledge
23:26 – Using technology to create value, not just work faster
28:59 – Adaptability and the changing nature of jobs
31:23 – Leadership by title versus leadership by trust
35:44 – AI, hierarchy and the human responsibility for decisions
38:07 – What happens when we outsource our thinking?
39:57 – Why human capability still matters in an AI-enabled world
42:02 – Practical advice for leaders: experiment with AI yourself

Adeline Tiah is a professional coach and leadership consultant based in Singapore, and you can find more of her here:

http://www.adelinetiah.com/

https://www.soarcollective.asia/

The Future Was Yesterday explores how technological change is reshaping work—how work is organized, how organizations and society are affected, and how people can adapt.

Each episode starts with a person doing something interesting at the frontier of technological, economic or social change. From there, we explore what their experience can teach us about the world of work that is already emerging.

If you found this conversation useful, follow the podcast and share it with someone thinking about how AI and technological change are affecting their work or industry.

You can find me on LinkedIn or write to [email protected].

Find out more about SAULE.

Thanks for listening. We learn from each other.

See you soon.

Keywords: AI and the future of work, psychological safety, leadership in the age of AI, AI adoption, organizational trust, employee engagement, human judgment, critical thinking, AI and leadership, change management, entrepreneurial mindset, future of leadership, human skills, organizational culture, team performance

What happens when organizations prepare for technological change—but fail to prepare the people who have to make that change happen?

Csaba Toth works at the intersection of cultural intelligence, psychology, leadership and organizational transformation. Originally from Hungary and now based in the UK, his work focuses on understanding the human factors that determine whether people and organizations are actually ready for change.

In this conversation, Csaba argues that one of the biggest problems in transformation is not a lack of technology or even a lack of investment. It is a measurement gap: organizations often measure what is easy to see—engagement, participation or how much people enjoyed a programme—rather than whether people are actually ready to change.

This becomes particularly important as AI changes the workplace. Csaba argues that companies don't transform on their own. People transform. And if the people responsible for implementing a new technology are working in silos, lack motivation, don't understand the future they are being asked to move toward, or fear what the transformation means for them, even a technically excellent project can fail.

We also explore why culture is more complicated than national stereotypes, how remote and hybrid work can reveal aspects of people's personalities that were previously hidden by workplace norms, and why understanding an individual's values and beliefs can be more useful than simply knowing where they come from.

A recurring theme throughout the conversation is agency. As the traditional promise of a stable career becomes less certain, people may need to become more proactive about their own learning, relationships, adaptability and future—not because they should simply accept uncertainty, but because they cannot control everything that happens around them.

For leaders, Csaba's practical advice is straightforward: understand whether your people are ready, communicate the future clearly, and understand what the transformation means for them.

In this episode

00:00 - Why self-awareness matters in an unpredictable future
04:57 - The values and beliefs that quietly drive our decisions
08:15 - What the pandemic revealed about people and organizations
10:41 - The measurement gap in organizational transformation
13:35 - Why national culture is not enough to understand people
16:48 - Cultural stereotypes and the danger of confident assumptions
17:42 - Why companies often wait until transformation hurts
19:18 - What psychology can teach us about preparing for the future
21:35 - How to measure transformation readiness
24:20 - What's in it for employees during transformation?
27:04 - The illusion of career security and the rise of agency
30:17 - Cognitive dissonance and why people resist reality
33:09 - Can we preserve the past while still evolving?
36:04 - Why leaders need to look beyond visible symptoms
39:33 - What leaders should do before a major transformation

The Future Was Yesterday explores how technological change is reshaping work — how work is organized, how organizations and society are affected, and how people can adapt.

If you found this conversation useful, follow the podcast and share it with someone who is thinking about how AI and technological change are affecting their work or industry.

You can find me on LinkedIn or write to [email protected].

Here you can find more about SAULE.

Thanks for listening. We learn from each other.

See you soon.

Keywords: AI transformation, future of work, AI and leadership, organizational transformation, transformation readiness, cultural intelligence, workplace culture, AI adoption, change management, business psychology, leadership, employee engagement, human side of AI, organizational change, future of work insights

AI is changing how organizations work, but are we changing how we lead?

In this episode of The Future Was Yesterday, Cezars Torres-Rueda talks with Adrian Wolfberg, a national security veteran, researcher and author of Who Thinks, Who Leads When AI Thinks?, about what four decades of working with complex, ambiguous situations have taught him about leadership, decision-making and organizational adaptability.

Drawing on his experience as a naval officer and his subsequent work supporting senior military and civilian decision-makers, Adrian explains why shared situational awareness, mission clarity and ownership of knowledge matter far beyond the military.

They explore what happens when knowledge is concentrated at the top of an organization, why frontline teams need to understand the reasoning behind decisions, and how traditional hierarchies can struggle to adapt when unexpected challenges emerge.

The conversation then turns to AI and a fundamental question: if machines can increasingly participate in problem-solving, what becomes the role of human leadership?

In this episode

• 00:00 — From national security to leadership

• 01:55 — Teamwork, trust and shared responsibility

• 03:31 — Translating knowledge for decision-makers

• 06:53 — What the military teaches about mission clarity

• 08:39 — Why organizations think in silos

• 11:55 — The risks of centralized knowledge

• 16:29 — Who Thinks, Who Leads When AI Thinks?

• 17:44 — Why AI is different from traditional tools

• 21:02 — Human and machine intelligence working together

• 24:15 — Judgment, empathy and ethics in the AI era

• 27:27 — Start with the problem, not the technology

• 30:17 — Leadership beyond hierarchy

• 31:56 — Slowing down to understand

• 35:08 — Ownership of knowledge at every level

• 38:04 — Building adaptability through continuous understanding

• 39:24 — Why this conversation needs to start now

Resources & Links

Visit Adrian's website: www.oicllc.org

Adrian's book: On Amazon: https://www.amazon.com/Who-Leads-When-Thinks-Decisions/dp/3032197163/ and on his website:  https://www.oicllc.org/publications-who-leads-when-ai-thinks

About The Future Was Yesterday

The Future Was Yesterday explores how technological change is reshaping work — how work is organized, how organizations and society are affected, and how people can adapt.

Each episode starts with a person doing something interesting at the frontier of technological, economic or social change. From there, we explore what their experience can teach us about the world of work that is already emerging.

If you found this conversation useful, follow the podcast and share it with someone who is thinking about how AI and technological change are affecting their work or industry.

You can find me on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠, or write to ⁠[email protected]⁠

Here you can find more about ⁠⁠⁠Saule⁠⁠⁠

Thanks for listening. We learn from each other.

See you soon.

Keywords: future of tech careers, future of work transformation, entrepreneurship future, digital skills for careers, future of work insights, digital transformation careers, future of work

What happens when technology becomes better and better at helping us think, decide and get things done—but we become less attentive to why we are doing those things in the first place?

Tony Dina is a Jungian depth coach and former technology leader with more than 30 years of experience in the big data and AI space. Tony describes himself as having “one foot in technology and one foot in humanity,” and that tension sits at the centre of this conversation.

Tony is not anti-AI. He uses an AI digital assistant every day and sees enormous potential in the technology. But he believes there is a danger in becoming so focused on productivity, data and automation that we gradually hand over our judgment and meaning-making to the machine.

His answer is what he calls “the instinct in the loop.”

We explore what that means in practice—and why the human contribution to an AI-enabled workplace may not simply be better reasoning or better data, but the ability to notice what the rational mind misses.

Tony shares the story of his own career pivot, when he realized that money, recognition, and professional success were no longer enough. The question became less “What should I do next?” and more “Who do I need to be?”

In this episode

00:00 - Why AI productivity can quietly erode human judgment and meaning
03:20 - The digital assistant experiment and why control is not the real issue
05:20 - From meditation retreat to career pivot: choosing who to be
10:18 - How faster technology can trap people in old patterns faster
15:34 - Calm, roots, and stability when business models shift
20:24 - Why coaching is for more than executives and leadership teams
24:36 - Can AI democratize coaching without cheapening it?
26:26 - Coaching as an investment, not an expense
29:00 - What to do if you do not yet know what you want
31:40 - Leadership shifts, fewer middle managers, more direct reports
34:05 - Darwin, Einstein, and the value of slowing down to think
37:39 - The one idea to leave with: you are more capable than you admit

Resources & Links:

Linkedin

Crucial Canvas

Substack

About The Future Was Yesterday

The Future Was Yesterday explores how technological change is reshaping work — how work is organized, how organizations and society are affected, and how people can adapt.

Each episode starts with a person doing something interesting at the frontier of technological, economic or social change. From there, we explore what their experience can teach us about the world of work that is already emerging.

If you found this conversation useful, follow the podcast and share it with someone who is thinking about how AI and technological change are affecting their work or industry.

You can find me on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠, or write to ⁠[email protected]⁠

Here you can find more about ⁠⁠Saule⁠⁠

Thanks for listening. We learn from each other.

See you soon.

Keywords: future of tech careers, future of work transformation, entrepreneurship future, digital skills for careers, future of work insights, digital transformation careers, future of work

What happens when AI can use journalism and expert knowledge without giving the people who created that knowledge a fair share of the value?

Gretchen Andrew is an AI-driven artist, a globally exhibited creator, and Head of Product at Intelligent Attribution. Her work sits at the intersection of art, journalism, AI and the systems that determine how information creates value.

In this conversation, Gretchen explores what she calls the “frozen bagel problem”: AI can take information created by publishers, journalists and experts and make it immediately useful to users, while traditional models for monetizing that information increasingly break down.

Her argument is provocative: rather than waiting for regulation or hoping AI companies will fix the problem, publishers and knowledge creators may need to understand and work with the logic of AI itself — turning their expertise, journalism and knowledge into products that can participate in the new value chain.

We explore what that could mean for journalism, publishing and the future of work.

But the conversation goes further. We discuss why individual authority may become more important as information becomes abundant, how new careers could emerge between journalism, SEO and AI systems, what AI literacy should mean for children, and why trust and real human relationships may become more—not less—important as software becomes faster and more capable.

And ultimately, we ask a broader question:

What does all of this mean for the way we work, learn, create, and participate in society?

In this episode

00:00 — Gretchen Andrew’s work in Park City and her long research arc

02:45 — Why this mission matters for democracy and truth

04:28 — The frozen bagel problem: why AI breaks publisher monetization

08:07 — Why AI rewards new information but does not reward it fairly

10:43 — Rebuilding affiliate revenue by making publishers the merchant of record

11:55 — Why AI skips civic information when it is harder to access

13:34 — What the future of work really means in the age of AI

16:30 — Reverse engineering publishing so media can thrive again

19:29 — Why AI may be more nuanced than today’s news and social platforms

23:03 — Why individual writer authority matters more than ever

26:51 — New career paths between journalism, SEO, and AI systems

28:12 — Productizing subscriptions and knowledge for AI-era publishing

33:47 — Teaching kids AI literacy, information literacy, and skepticism

35:37 — The importance of trust and real relationships in a world of faster software

37:18 — Why the newspaper may fragment into smaller monetized units

39:31 — Why “informed citizen” should remain the goal of education

40:46 — Advice for people entering journalism or media later in life

Resources & Links:

• Intelligent Attribution https://intelligentattribution.com/
• LinkedIn https://www.linkedin.com/in/gretchen-andrew/

About The Future Was Yesterday

The Future Was Yesterday explores how technological change is reshaping work — how work is organized, how organizations and society are affected, and how people can adapt.

Each episode starts with a person doing something interesting at the frontier of technological, economic or social change. From there, we explore what their experience can teach us about the world of work that is already emerging.

If you found this conversation useful, follow the podcast and share it with someone who is thinking about how AI and technological change are affecting their work or industry.

You can find me on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠, or write to ⁠[email protected]⁠

Here you can find more about ⁠⁠Saule⁠⁠

Thanks for listening. We learn from each other.

See you soon.

Keywords: future of tech careers, future of work transformation, entrepreneurship future, digital skills for careers, future of work insights, digital transformation careers, future of work

What happens when technology becomes better at understanding people, but our organizations are still designed around a decades-old model of the worker?

Rick Beaton is the CEO of Elevait Labs and a former Cambridge researcher and Humboldt Fellow. He has advised Fortune 500 boards and university presidents on leadership and human development, and now he's building Amber, an agentic AI designed around longitudinal understanding of individuals, not snapshots.

Rick's argument: "Most AI gives you answers, but the more interesting question is whether it can help your life make sense over time". 

As Rick explains, technological revolutions can change our mental models of who we are, what work means, how we organize ourselves, and where we find meaning and purpose. The speed of technological and communicational change is now accelerating that process, creating both opportunities and a sense of instability.

We explore what this means for organizations.

The conversation also covers one of the most intriguing possibilities of AI: personalized agents that understand an individual over time.

Towards the end, we discuss the questions: Are we developing ourselves in a direction that actually fits who we are? Can AI help us understand ourselves well enough to make better decisions?

In this episode:

00:00 - Rick’s background and journey through academia, consulting, and tech startups

01:49 - The influence of technological revolutions on human identity and work

04:56 - Communication speeds impacting societal and individual change cycles

06:10 - Shortening reaction times and community processing of information

08:34 - Designing more human-centric organizations based on biological and social research

10:20 - Rethinking organizational structures beyond hierarchy and management ladders

12:37 - Managing distributed teams and building effective remote work cultures

18:14 - Elevate Labs: Building AI agents as personalized career and wellbeing guides

21:28 - AI aligning individuals with roles matching their hardwiring and strengths

25:02 - Common organizational issues caused by misaligned roles and management bias

26:00 - Facilitating career development and avoiding misfit in leadership roles

30:24 - Rethinking career ladders: rewarding technical expertise and diverse pathways

42:52 - Optimistic outlook: AI enabling health, happiness, and better work-life balance

43:14 - Creating a culture of innovation with human-AI collaboration

44:13 - Closing thoughts on the integration of AI, human purpose, and future careers

Resources:

• Big Five Personality Test

• Hexaco Personality Model

• Jim Collins - Good to Great

• Peter Drucker

• Elevate Labs

• LinkedIn

The Future Was Yesterday explores how technology, AI and social change are reshaping work, careers and society—and what these changes mean for people trying to navigate the future.

Each episode starts with a person doing something interesting at the frontier of technological, economic or social change. From there, we explore what their experience can teach us about the world of work that is already emerging.

If you find these conversations useful, you can find me on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠, or write to ⁠[email protected]⁠

Here you can find more about ⁠⁠Saule⁠⁠

Thanks for listening. We learn from each other.

See you soon.

Keywords: future of tech careers, future of work transformation, entrepreneurship future, digital skills for careers, future of work insights, digital transformation careers, future of work

Music licensed through Soundstripe.

Code: KANAK78SOCDZVRBM

Andrew Lebbos, SVP of Licensing at Benzinga, joins the show to talk about how financial media has changed since COVID, why remote work widened access to talent, and how technology is making investing more global and more accessible. The conversation also digs into financial education, the risks of hype in crypto and “get rich quick” culture, and how AI may help people learn and make smarter decisions.

In this podcast, we discuss how technological changes impact our society and how we work, educate, entertain, and communicate. Whether you're a business owner, marketer, or just curious about future trends, this conversation offers valuable perspectives on staying relevant and authentic in a rapidly evolving industry.

Timestamps:

00:27 - Andrew's background and work environment in Miami's remote setup

01:36 - The transformation of the financial industry through COVID and remote work

04:55 - The strategic advantages of hiring for local understanding in international markets

06:38 - Detroit's resilient reputation and the rise of unconventional tech hubs

09:26 - Discussion on the rising tech scene in Baltics and other smaller markets

12:33 - Leveling the playing field with technology and democratization of finance

14:05 - The unpredictable evolution of FinTech and crypto markets

17:22 - The evolution from cartoon stock market fantasies to real-time mobile investing

18:20 - The democratization of investing and investor education responsibilities

20:47 - The next steps in financial education and improving user understanding

22:12 - Addressing bad actors and promoting responsible financial information

24:33 - How innovations like Benzinga help users visualize and understand financial data

26:10 - The reality of blockchain and crypto promises versus myths

27:27 - The potential of data and technology in building smarter cities and communities

32:52 - Future outlook including globalization, 24/5 markets, and democratized investing

36:28 - Practical advice for new investors: the importance of education and simple strategies

Resources

Linkedin

Benzinga

Note: This episode explores the impact of remote work on financial media and data companies. It also discusses how globalization affects fintech and the accessibility of investing. Additionally, the episode covers the roles of AI, blockchain, and innovation in financial services, highlighting the importance of financial education in a technology-driven world.

Understand the future of work by unlocking digital entrepreneurship. Explore the transformative power of AI and the evolving landscape of opportunities. Perfect for ambitious professionals ready to transition to a second career or launch a profitable digital business amid digital disruption.

You can reach out on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠, Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠ ⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠, and⁠⁠⁠⁠⁠⁠⁠⁠ ⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠, or write to ⁠[email protected]⁠

Here you can find more about ⁠⁠Saule⁠⁠

Thanks for listening. We learn from each other.

See you soon.

Keywords: future of tech careers, future of work transformation, entrepreneurship future, digital skills for careers, future of work insights, digital transformation careers, future of work

Music licensed through Soundstripe.

Code: KANAK78SOCDZVRBM

Duncan Brand is a leadership and organizational effectiveness advisor, author of Mind the Gap, and founder of Intrinsic Leader. His perspective is shaped by real-time leadership challenges, from the Federal Reserve during the financial crisis to healthcare in the early days of COVID, where technical know-how mattered less than human judgment. That experience informs his argument that leadership in the AI era needs to move beyond factory-era models that treat people as interchangeable parts.

In this podcast, we discuss how technological changes impact our society and how we work, educate, entertain, and communicate. Whether you're a business owner, marketer, or just curious about future trends, this conversation offers valuable perspectives on staying relevant and authentic in a rapidly evolving industry.

Timestamps

00:00 - The core principle of treating people as humans first in organizations

05:35 - The impact of leadership mindset on organizational culture

07:08 - How leaders can resist market pressures and shift toward human-centric practices

08:49 - The influence of AI on workforce transparency and culture revelation

10:46 - Connecting with employees authentically in the age of AI

11:31 - Organizational structures best suited for AI adoption

14:34 - The role of decision-making in AI-integrated environments

16:32 - Building holistic strategies for AI and human workforce integration

19:30 - Preparing the workforce for technological evolution and talent retention

23:11 - The rapid pace of technological change and the need for continuous upskilling

28:28 - The evolving role of managers and multi-generational workforce dynamics

30:23 - Transitioning from technical expertise to human leadership roles

32:34 - The rise of humanoid robots and automation in workplaces

40:43 - Leveraging AI for data analysis and decision support without replacing humans

41:16 - Practical advice for those seeking a second career or feeling stuck

Resources

• Mind the Gap (by Duncan Brand)

• ChatGPT

• Claude

• LinkedIn

Note: This episode is about the importance of treating employees as humans first, not just assets, and how organizational culture influences employee engagement and productivity. We also discuss the role of AI in decision-making, process streamlining, and workforce evolution, and the practical skills for workers and managers to thrive in an AI-enhanced environment

Understand the future of work by unlocking digital entrepreneurship. Explore the transformative power of AI and the evolving landscape of opportunities. Perfect for ambitious professionals ready to transition to a second career or launch a profitable digital business amid digital disruption.

You can reach out on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠, Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠ ⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠, and⁠⁠⁠⁠⁠⁠⁠⁠ ⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠, or write to ⁠[email protected]⁠

Here you can find more about ⁠⁠Saule⁠⁠

Thanks for listening. We learn from each other.

See you soon.

Keywords: future of tech careers, future of work transformation, entrepreneurship future, digital skills for careers, future of work insights, digital transformation careers, future of work

Music licensed through Soundstripe.

Code: KANAK78SOCDZVRBM

Jennifer Selby Long is the founder and CEO of Selby Group, LLC, a consulting firm that assists leaders in managing transformation and change. She collaborates with both technical and business leaders facing large-scale changes. In this episode, Jennifer explores the influence of cultural differences on technology adoption and innovation, as well as how artificial intelligence can empower small business leadership.

In this podcast, we discuss how technological changes impact our society and how we work, educate, entertain, and communicate. Whether you're a business owner, marketer, or just curious about future trends, this conversation offers valuable perspectives on staying relevant and authentic in a rapidly evolving industry.

Timestamps:

00:00 - The surge of technological change driven by AI and digital transformation

01:11 - The statistic: organizations plan 3-4 significant changes annually 

02:05 - The shift from market-driven to tech-driven organizational change 

03:00 - The impact of AI on workforce and influence strategies 

03:29 - Leading through conflict: lessons from corporate turnarounds 

03:51 - The value in unmarketable skills and learning from failures 

05:51 - Impact of AI and large language models on organizational strategies 

07:34 - North American vs. Northern European attitudes towards innovation 

10:21 - The reality of being outpaced by competitors and strategic positioning 

11:59 - The importance of self-awareness and consistency

12:19 - Leaders’ role in being predictable yet adaptable

12:41 - Managing feedback and the ongoing journey of leadership growth

14:00 - Leadership’s internal dichotomies and managing tensions

14:28 - The importance of authentic feedback and responsiveness

15:18 - The perpetual nature of leadership development

16:58 - Fostering team leadership for operational success

17:27 - The challenge of authentic leadership versus traditional corporate images

19:20 - Building resilience and managing conflict during change 

23:39 - The significance of a compelling vision

25:20 - The importance of support systems in leadership (mentors, followers) 

28:49 - Strategies for entrepreneurs to lead change effectively 

34:31 - Organizational AI adoption: strategic considerations and leadership roles 

37:05 - Risks of overpromising AI capabilities and underestimating human oversight 

40:25 - Shaping the future with responsible and strategic AI integration 

Resources & Links:

• Jennifer Selby Long - Website

• LinkedIn

• AI Tools for Small Businesses

Note: This episode covers strategies for AI adoption: focusing on the execution layer, learning, and responsible implementation. It also talks about the importance of self-awareness and managing tensions between consistency and adaptability in leadership, as well as gives insights on influencing peers and leading in complex, global environments.

Understand the future of work by unlocking digital entrepreneurship. Explore the transformative power of AI and the evolving landscape of opportunities. Perfect for ambitious professionals ready to transition to a second career or launch a profitable digital business amid digital disruption.

You can reach out on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠, Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠ ⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠, and⁠⁠⁠⁠⁠⁠⁠⁠ ⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠, or write to ⁠[email protected]⁠

Here you can find more about ⁠⁠Saule⁠⁠

Thanks for listening. We learn from each other.

See you soon.

Keywords: future of tech careers, future of work transformation, entrepreneurship future, digital skills for careers, future of work insights, digital transformation careers, future of work

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