AIP solutions provide decision support in asset-intensive enterprises by identifying and prioritizing capital investment across the life cycle of their asset base, along with future demand forecasts. AIPs collect and integrate data such as asset conditions, failure forecasts, maintenance costs, criticality, budgets and risk from many enterprise solutions including ERP, enterprise asset management (EAM), program and portfolio management (PPM), asset performance management (APM) and geospatial information systems (GIS). AIPs assemble insights to analyze cashflow, performance and reliability under various scenarios to identify optimal investment plans.

Asset Investment Planning Solutions for Energy and Utilities

3D Print Service Bureaus

3D Printing Workflow Software

4G and 5G Private Mobile Network Services

4PLs

5G Enterprise Data Services

5G Network Infrastructure for Communications Service Providers (Transitioning to CSP 5G Core Network Infrastructure Solutions ; CSP 5G RAN Infrastructure Solutions)

A/B Testing Tools

AI Avatars

AI Code Assistants

AI Offerings in CSP Network Operations

AI and Data and Analytics (D&A) Service Providers

AI in CSP Customer and Business Operations

AI-Augmented Software-Testing Tools

AI-Enabled Interview Intelligence

AI-Enabled Translation Services

AIOps Platforms

API Management

API Protection

Absence Management Software

Access Management

Account-Based Marketing Platforms

Account-Planning Tools

Accounting Practice Management Software (APMS)

Accounts Payable (AP) Recovery Audit Services

Accounts Payable Invoice Automation Solutions (Transitioning to Accounts Payable Applications)

Active Metadata Management

Ad Tech Platforms

Ad Verification Tools

Adaptive Project Management and Reporting

Advanced Analytics Service Providers for Marketing

Advanced Contract Analytics

Advanced Distribution Management Systems

Affiliate Marketing Platforms

Alternative Legal Service Providers (ALSPs)

Analytics Query Accelerators

Analytics and Business Intelligence Platforms

Analytics and Decision Intelligence Platforms in Supply Chain

Anti Money Laundering (AML) Software

Applicant Tracking Systems (ATS) (Transitioning to 'Talent Acquisition (Recruiting) Suites')

Application Composition Platform

Application Crowdtesting Services

Application Delivery Controllers

Application Development Life Cycle Management

Application Integration Platforms

Application Platforms

Application Portfolio Management Tools

Application Security Posture Management (ASPM) Tools

Application Security Testing

Application Testing Services, Worldwide

Artificial Intelligence Applications in IT Service Management

Asset Leasing Software

Asset Performance Management Software

Audience Intelligence Platforms

Audit Management Solutions

Augmented Analytics

Augmented Data Quality Solutions

Augmented Reality Development Software

B2B Customer Community Platforms

B2B Gateway Software

B2B Marketing Automation Platforms

B2B Profit Optimization Software

BPM-Platform-Based Case Management Frameworks

Background Check Software

Backup as a Service

Balance Sheet Management Software

Banking Payment Hub Platforms

Bankruptcy Software

Barcode Software

Benchmarking Services for Transportation Rates and Logistics Performance

Benefits Management Software

Blockchain Advertising Platforms

Blockchain Consulting and Proof-of-Concept Development Services

Blockchain Platforms

Blockchain as a Service

Brand Advocacy Services

Brand Compliance Software

Brand Protection Software

Brand Strategy Agencies

Breach and Attack Simulation (BAS) Tools

Business Continuity Management Program Solutions

Business Process Automation Tools

Business Process Management Platforms

Business Valuation Software

Business-Outcome-Driven Enterprise Architecture Consulting

CPS Protection Platforms

CRM Customer Engagement Center

CRM and Customer Experience Implementation Services

CRM in Life Sciences

CSP 5G Core Network Infrastructure Solutions

CSP 5G RAN Infrastructure Solutions

CSP Customer Management and Experience Solutions

CSP Revenue Management and Monetization Solutions

CSP Service Design and Orchestration Solutions

CSP Service and Network Assurance Solutions

Candidate Relationship Management (CRM) Software

Capital Investment Management Software

Carbon Accounting and Management Software

Carbon Offset Platforms

Cash Flow Management Software

I think Alivin Toffler said it best: "The illiterate of the 21st century will not be those who cannot read and write, but those who cannot learn, unlearn and relearn."


The most important attribute, then, is curiosity. The most important habit is holding to ones own thoughts about how things are done quite loosely - because a lot of what worked in the past does not work today and will not work in the future. The critical skill is to experiment constantly, to apply the new technologies that are coming at an ever increasing pace, always asking how this new technology can be applied to the benefit of the organizations, communities, and people we serve.

And as a leader - empowering your teams to do the same.

1. OPEN YOUR MIND
2. Embrace and promote change
3. Don't judge and don't promote judgement
4. Think, evaluate and then argument
5. Communicate and lead for company-aligned objectives, all is allowed in this framework
6. Be the first to propagate good ideas and credit your team for them

Besides what others here already pointed out - curiosity, learning, all, also being agile in all aspects of the business seems increasingly important.


Leading will continue to lead people, humans, hence great people leadership will stay critical to hire and retain best talent. 


Overall it looks like the "same old, same old"  styles will bring competitive disadvantages at a higher speed than ever. This could be a serious challenge for larger organizations which can't be agile or intentionally avoid agility due to the potential risks (real or perceived). 


Last thought about that non agile mindset - I vividly remember larger corporations who for a long time were hanging on to the MS Explorer web browser, even long after MS stopped supporting it and it had know security issues. Internal processes, rules, policies, hierarchical approval chains and all reduced the speed of change greatly. 
Nobody will be able to afford slow speed any more.

With optimisation and automation opportunities we are seeing, leadership skills, growth mindset and emotional intelligence will reign supreme. 
Micromanagers beware

Technology development and evolution historically offered leaders great opportunities to innovate, break the rules, establish new ways of producing goods and services. From the early industrial revolution to the recent AI and ML breakthroughs, technology has provided new platforms to rethink how we engage with each other, help society grow and get things done. This requires the ability to constantly learning and imagining a new role for humans, in the context of a highly tech-driven environment. So for me leaders should certainly keep up the pace with tech developments, but keep focusing on leading people. The role of human beings might change, but in the end we remain fairly basic forms of life that need guidance, support, empathy, direction. AI, ML, quantum computing will make us more effective, but we remain the fragile individuals that happen to spend a tiny fraction of time on this beautiful planet.

Chief Executives will increasingly become Chief Navigators too, as exponential or emerging technologies will reshape the world. Having competitors or disruptions are not new for businesses or leaders, however, it is going to become more frequent and intense. 


The key pillars to running the business in the digital world - Strategy, People, Technology, Data, and Business models - are going to be there. On top of these, I would like to add 3 more capabilities that are not covered most often. 




1. Human-Centered Technologist

2. Asymmetrical Risk Taker

3. Architect of the Company’s Moat

In fact, your question has prompted me to delve more into this topic. Will publish a long-form article soon.

These leadership capabilities can help leaders effectively lead in an era of exponential technology and AI innovation : Technological Literacy, visionary Thinking, adaptability , decision making.

I’d add technical strategy to some of the excellent ideas already raised. Leaders must be able to translate business problems into technology problems. They need to look at technology organizations as strategic partners that they can bring business challenges to. Leaders must have the background to articulate their business unit’s needs and define solution requirements.

For AI, that means functional and reliability requirements. Each technology wave delivers value in a unique way. Leaders must understand what use cases data and AI service better than an alternative. Businesses operate in a multi-technology environment, so technical strategy will become increasingly critical.

1) Curious Mind. Leaders need to answer the WHY question. Why adopt such technology? What business outcomes are you trying to achieve?


2) Cross-Functional Approach. Often tech initiatives are IT-led which is the number one reason for poor ROI and lack of business value. Tech initiatives should be a cross-functional activity that involves the wider business. IT is just an enabler.


3) Technological Awareness: Leaders need to possess a strong understanding of emerging technologies, such as artificial intelligence, machine learning, automation, and data analytics. They should be able to grasp the potential impact of these technologies on their industry, business models, and operational processes.

4) Tech Literate. Leaders need to stay one step ahead and continuously scan the horizon for new tech that will impact business. Impact on revenue growth, cost optimisation, or risk mitigation. 


5) Ethical. With great power, comes great responsibility. Be aware of biased introduced by tech, privacy concerns, etc.


6) Partnerships. Leaders will need to build strategic partnerships with other organisations that supplement their offerings.


7) Risk Mitigation. Any new tech introduces new risks. Leaders need to assess the new risks and develop mitigation strategies.


These are some of the fundamental leadership capabilities needed to survive the non-stop innovation train!

A learning mentiality/curious mind, to test hypothesis and continually evolve one's thinking. Also the ability to collaborate more  and engage other SMEs (Risk, Strategy, Legal, Security etc.), so our ideas can be tested from various perspectives.

Unless your company sells AI, you need to be able to develop partnerships and tell a story about value.  You'll never be staffed for emerging technologies, and you'll never have access to resources or data on other teams unless everyone understands the value.  I see leaders in ai and analytics as evangelists first with a small team of execution minded, team oriented people who are empowered to deliver product.

Well ... If you ask the question of ChatGPT one of the answers which you could get back is ....


In an era of exponential technology and AI innovation, leaders need to possess certain fundamental capabilities to navigate the rapidly changing landscape and effectively harness the potential of these advancements. Here are some essential leadership capabilities for this context:


1. Technological Literacy: Leaders must have a solid understanding of emerging technologies, such as artificial intelligence, machine learning, robotics, and automation. They should stay updated with the latest trends, developments, and potential applications of these technologies. This literacy enables leaders to make informed decisions, drive innovation, and effectively communicate with technical experts.


2. Adaptability and Agility: The pace of technological change demands leaders who can adapt quickly to new circumstances, embrace uncertainty, and lead with agility. They need to be open to learning, flexible in their thinking, and comfortable with experimentation. Embracing change and encouraging a culture of continuous learning and adaptation is crucial.


3. Strategic Vision: Leaders need to develop a clear and compelling vision for their organizations in the context of exponential technology and AI innovation. They should be able to anticipate future trends, identify new opportunities, and set strategic directions that leverage these technologies to drive growth and competitive advantage.


4. Ethical and Human-Centric Mindset: As technology continues to advance, leaders must prioritize ethical considerations and ensure that AI and other technologies are developed and deployed in a manner that aligns with human values and societal well-being. They should be committed to responsible innovation, addressing potential biases, privacy concerns, and the impact on jobs and society.


5. Collaboration and Team Building: Effective leaders understand the importance of collaboration and cross-functional teamwork. They foster an environment where diverse perspectives are valued, encourage interdisciplinary collaboration, and build teams that can work effectively with emerging technologies. Collaboration with external partners, such as startups, research institutions, and industry networks, also becomes crucial for accessing expertise and driving innovation.


6. Continuous Learning and Reskilling: Leaders must prioritize their own continuous learning and reskilling to keep up with the evolving landscape. They should encourage and support ongoing learning opportunities for their teams, enabling them to acquire new skills and competencies required in an era of AI and exponential technology. Lifelong learning becomes essential for leaders and their organizations to remain competitive.


7. Change Management and Transformation: The advent of AI and exponential technology often requires significant organizational change and transformation. Leaders must have strong change management capabilities to guide their teams through these transitions. They should be adept at inspiring and motivating employees, managing resistance to change, and creating a culture that embraces innovation and digital transformation.


8. Emotional Intelligence: As technology takes on more routine tasks, leaders need to focus on developing their emotional intelligence (EQ). EQ skills, such as empathy, self-awareness, and effective communication, become critical in leading diverse teams and fostering collaboration. Leaders who can understand and empathize with the impact of technology on individuals and address concerns will be more successful.


9. Risk Management: With the introduction of new technologies, leaders must be adept at assessing and managing risks effectively. They should be able to navigate the ethical, legal, and security challenges associated with AI and exponential technology. Balancing innovation with risk mitigation strategies becomes crucial to ensure responsible and sustainable deployment.


These fundamental leadership capabilities can empower leaders to navigate the complex and dynamic landscape of exponential technology and AI innovation, seize opportunities, and drive positive impact within their organizations and beyond.

I still think the basics are crucial and shouldn't get lost in the zeal for new technology. Critical thinking, looking at the impact of society, and not forgetting the human are always needed to stay at the forefront.

an incomplete list but traits you will need.


- coaching and mentorship skills to build an excellent team. the world moves too fast for hero leaders so built a team capability 
- ability to PR and sell what you are bringing forward to the business
- tech AND business (finance, strategy, understand the fundamentals of a business) skills
- a joy and interest in bringing great tech solutions to the business in advance of their needing them or their realising they need them
- listening skills - it is not about you it is about the business
- the ability to admit your wrong before your sunk cost sky rockets - experiment and if it does not work then get out of that project and reinvest the money elsewhere
- agility in method and mind


and then some more.   the best leaders are unicorns.

I would add change management training and skills - someone who can use stakeholder collaboration, conflict resolution, agility/adaptability, and project management to manage and guide people and organizations through the change process, ensuring successful outcomes.

The important leadership capabilities are curiosity, empowerment, flexibility, and empathy. To me, in that order. 

- Be curious to learn about AI.
- Empower your team to do the same and taken calculated risks. 
- Be flexible to adjust your thinking and to challenge your assumptions.
- And be empathetic towards those who are concerned or struggling.

Beside to what others shared. I believe that fostering flexibility to the the upcoming disruptions that is happening every month ( not even a year !) and promoting an AI-friendly culture and incubation for the development and exploration of use cases are extremely important.. As the saying goes, "culture eats strategy for breakfast", cultural alignment is crucial in achieving success.

I'm just a tad confused here. It sounds as if people are expecting leaders to change because of technology. Shouldn't technology be driven by leadership, rather than the other way around...?

Perhaps some of this has to do with the difference between management and leadership, which are often conflated. Management is doing things correctly, and leadership is doing the correct things. Leadership is about situational awareness, strategic vision, and ethics. It’s always been true that leaders need to be aware of the tools and technologies of the times and the impact of those technologies, but real leadership is more about aligning with people, and in general, management is more about aligning with things.  Just read Plato and Sun Tzu, then read Churchill, Patton, Branson, and other more contemporary leaders and you’ll find the same basic themes.


Finally, keep this in mind: Technology is evolving at an exponential rate, while people evolve over the course of millennia. A truly good leader can lead regardless of era or technology.

In my view as generative AI era unfolds, leaders need to embody a blend of qualities such as adaptability, visionary thinking, effective communication, empathy, and trustworthiness. In addition to these traditional qualities, a deep understanding of various tech domains including AI, Machine Learning, Natural Language Processing, and Cloud Computing is crucial. By honing these skills and embracing the technology evolution, leaders will be able to spearhead their organizations into the future.

I agree with many of the comments that have already been shared. I think that curiosity is incredibly important, as well as an open mind to understand it and prepare our organizations to embrace it. Since I sit in Cybersecurity where we work to enable the business, leadership also needs an enabling mindset to find ways to balance these new technologies with the cybersecurity risks and controls. Lastly, very important to understand the ethical challenges to make sure it is used appropriately.

Someone with eternal curiosity and a thirst for continual learning in diverse fields, not just AI.

This is a binary outcome in the end. Either the company (from the CEO down) fully embraces generative AI in every possible regard or its competition does and leaves them in the dust. This won’t apply to the local plumber or hairstylist but for any sort of knowledge work job, the full and active support (mandate from the top) of AI company-wide is no longer optional… any more than using a computer is. Learn to love it. Encourage, reward, incentivize, and require training, certification, and use of these tools. This is a generational change and it is happening at warp speed. Do not delay.

Adaptability, work ethic, curiosity, persistence, business and AI skills as well as the ability to develop and recruit exceptional multi skilled change agents with tech and people skills who can grow a business in multiple simultaneous directions.

You need to be able to determine what activity requires what skill.

Are you:


1/ In-sourcing
2/ Out-sourcing
3/ AI-sourcing

1/ In-sourcing

This is where you determine what activities are best carried out by a human as part of your team (think high-value revenue generating / cost reduction type activities)

2/ Out-sourcing

This is where you determine what activities are best carried out by a team overseas for a cheaper rate (think data entry, customer service, repetitive creative tasks)


3/ AI-sourcing

This is where you determine what activities are best carried out by AI (think high-level data analysis, virtual assistant jobs like meeting minutes, and basic admin activities like creating documentation)


Then scale from there.

In not too long we'll be thinking about 'hiring' AI in the same way we hire people.

That or the AIs will be thinking about how they hire humans ;)

Does this make sense?

We need to be agile and open to unlearn few things when required which all of us carry with our huge experiences i.e. sometimes getting rid of legacy which we are proud of :).


Rest Learning and giving an opportunity to others to shine so that all can learn from experiences.

These leadership capabilities can help leaders effectively lead in an era of exponential technology and AI innovation: Technological Literacy, visionary Thinking, adaptability, decision-making. I'd add technical strategy to some of the excellent ideas already raised.

In an era of exponential technology and AI innovation, effective leaders need to possess key capabilities. They should be technologically literate, adaptable, and possess visionary thinking to navigate the evolving landscape. Ethical decision-making, collaboration skills, and emotional intelligence are essential for responsible and human-centered leadership. Strategic foresight enables leaders to anticipate trends and leverage exponential technologies for long-term success. By embodying these capabilities, I believe leaders can drive innovation, create a positive organizational culture, and make a meaningful impact in the era of technological advancement.

- Vision and Strategic Thinking
- Critical Thinking
- Problem Solving Skills 
- Adaptability and Flexibility
- Emotional Intelligence
- Lifelong Learning

It's been well stated here by other that a learning mindset is key. Let's be clear on what we mean by that. My definition requires Observation, research, hypothesis, experimentation, analysis and communication to others. Low ego.

Be open to change 
Be inquisitive 
Encourage your team to take time out of day to day and look at New / Innovative ways of doing things. 
Always lead by example. Not “this is the way we have always done it” 
Communicate that AI is your friend and ensure staff know the WIIFM ( What’s In It For Me).

In an era of exponential technology and AI innovation, supply chain leaders need to possess a set of fundamental capabilities including these leadership capabilities:

1. **Adaptability and Agility:** Leaders must be able to embrace change and quickly adapt to the evolving technological advancements and market dynamics. Agility in decision-making and willingness to experiment with new technologies and processes are crucial.

2. **Digital Literacy:** A strong understanding of digital technologies, AI, and data analytics is essential. Supply chain leaders need to be well-versed in emerging technologies and how they can be leveraged to optimize supply chain operations.

3. **Strategic Vision:** Leaders must have a clear strategic vision for integrating technology and AI into the supply chain. They should be able to identify opportunities for improvement and align technological investments with business goals.

4. **Collaboration and Partnership:** Building strong collaborations with technology providers, industry experts, and internal stakeholders is vital. Leaders should foster partnerships that enable access to cutting-edge technologies and expertise.

5. **Data-Driven Decision Making:** With the abundance of data generated by technology and AI, leaders must be adept at leveraging data to make informed decisions. Data-driven insights can drive efficiency and uncover new opportunities.

6. **Risk Management:** As technology introduces new risks, supply chain leaders need to be adept at identifying and mitigating potential challenges. A strong risk management strategy is essential to ensure operational resilience.

7. **Continuous Learning:** Embracing a culture of continuous learning is critical for supply chain leaders. Staying updated on technological advancements and industry trends is essential to drive innovation.

8. **Ethical Considerations:** With AI and automation, ethical considerations become more critical. Leaders must be conscious of the impact of AI on the workforce, customer privacy, and broader societal implications.

9. **Change Management:** Introducing new technologies and AI-driven processes often involves significant organizational change. Leaders should be skilled in change management to ensure successful implementation and adoption.

10. **Innovation Mindset:** Encouraging a culture of innovation is key to harnessing the full potential of technology and AI. Supply chain leaders should foster a mindset that encourages experimentation and creative problem-solving.

By cultivating these fundamental leadership capabilities, supply chain leaders can position their organizations for success in an era of exponential technology and AI innovation, driving efficiency, sustainability, and competitive advantage.

Being a Leader, One should have below capabilities in the era of Exponential Technology and AI Innovations - 

1. Tech Savvy, A leader must curious to learn and understand the changes in Technology. 

2. Open Mind, An open mind to understand the business requirements and benefits available to Business from AI and Technology. 

3. Quick Learner, This is the most important skills, especially in this era, Learning should be continuous and in right direction. 

4. Change Enabler, Instead of resisting the change, A leader accepts it with strategic approach and generate friction which is better for the business with the given changes. 

5. Strategic, A leader should be good in making quality strategies and doesn’t hesitate in implementing the same. 

6. Communication Skills, The most important quality of a leader is to have good communication skills. This skill can lead to a big success for personal and enterprise level.

1. Tech Literacy: Understanding new technologies and their impact.
2. Adaptability: Embracing and managing change swiftly.
3. Visionary Thinking: Envisioning a future integrated with new technologies.
4. Ethical Decision-Making: Navigating complex issues related to technology use.
5. Talent Development: Cultivating a tech-savvy workforce.
6. Collaboration: Fostering cross-functional work and partnerships.
7. Resilience: Maintaining determination amid technological disruptions.
8. Data-Driven Decision Making: Utilizing data for informed choices.

Desire to move these initiatives forwards and embracing the change

Thanks for raising such an interesting question.

In my opinion there are three main capabilities leaders need in the era of technology and AI innovations:

1) The first is Digital Literacy. It means that leaders need to posses a good understanding of digital and AI concepts.
2) Experimentation &amp; Risk Taking mindset: Leaders need to understand that the field of technologies and AI is evolving and as a result having an open mindset to experimentation is important.
3) Extreme Collaboration: Leaders need to recognise the importance of breaking boundaries and the organisational structure silos for better technology and AI innovations.

1. Creating a safe (psychologically) and inclusive environment (human and non human entity) is crucial at this stage. 2. Trust is something you give first and then earn as a result. 3. Spend quality time taking to people in this digital age

For me those organisations that are using the EXO2 methods are making strides in sustainable growth with the 6 D's.  
Digitisation: This refers to the process of converting analog information into digital format. It allows for easier storage, manipulation, and distribution of data. For example, the digitisation of music transformed the industry from physical CDs to digital streaming platforms like Spotify.


Deception: Deception occurs when exponential technologies are in their early stages and may not seem significant or disruptive. However, their impact grows exponentially over time. An example of deception is the early stages of electric vehicles, which were initially seen as inferior to traditional gasoline-powered cars but are now becoming more popular and disruptive.


Disruption: Disruption happens when exponential technologies reach a tipping point and fundamentally change an industry or market. Examples include the disruption of the taxi industry by ride-sharing platforms like Uber, or the disruption of the hotel industry by Airbnb.


Demonetisation: Demonetisation refers to the reduction or elimination of the cost of goods and services due to exponential technologies. This can make products or services more accessible and affordable. For instance, the cost of genome sequencing has dramatically decreased over time, enabling personalized medicine and healthcare.


Dematerialisation: Dematerialisation is the process of replacing physical products with digital or virtual alternatives. This allows for greater efficiency and reduces resource consumption. An example is the dematerialization of books into e-books, reducing the need for physical paper and printing.


Democratisation: Democratisation involves making resources, knowledge, and opportunities accessible to a broader audience. This allows for greater participation and empowerment. Examples include the democratization of education through online platforms like Khan Academy, or the democratisation of finance through crowdfunding platforms like Kickstarter.

The leader must now be business decision maker who takes the business executives on board. One must be an influencer. ￼ One must be on par with technological trends. Transform the organization for competitive advantage. Communicate in business language. Digital transformation is core.

In an era of exponential technology and AI innovation, leaders need to possess certain fundamental capabilities to navigate the rapidly evolving landscape and capitalize on the opportunities presented by these advancements. Here are some key leadership capabilities essential for success:

Visionary Thinking: Leaders should have a clear and inspiring vision of how to leverage exponential technologies and AI to drive innovation and achieve organizational goals. A strong vision helps align teams and stakeholders and provides a roadmap for the future.

Adaptability: With technology and AI evolving rapidly, leaders must be adaptable and open to change. They need to continuously learn, update their knowledge, and be willing to adjust their strategies in response to emerging trends and disruptions.

Technological Literacy: Leaders don't need to be technology experts, but they must have a solid understanding of the potential and limitations of AI and other technologies. This knowledge helps them make informed decisions and identify suitable areas for innovation and implementation.

Data-Driven Decision Making: The abundance of data generated by AI and technology calls for leaders who can make data-driven decisions. They must be adept at interpreting data insights to identify patterns, opportunities, and risks.

Emotional Intelligence: As technology transforms workplaces, emotional intelligence becomes even more crucial for leaders. Empathy, understanding, and effective communication are essential for building strong teams, fostering innovation, and maintaining a positive work culture.

Strategic Foresight: Leaders need to anticipate how technological advancements will impact their industry and market. Strategic foresight helps them position their organizations for future success and create plans that consider potential scenarios and challenges.

IMO, the most important one is a culture of continuous learning and ability to incorporate changes rapidly.

I'll start with the recommendation of curiosity and take it a step further using a traditional CPA term - professional skepticism.  AI models, even generative, are still what we teach them.  When data is presented back, there is an opportunity to question or challenge to logic that went into the analysis.  Mind you, this is not about distrust or wanting to challenge AI in general but more about asking thoughtful questions to which either help improve the AI model itself or validate that it is going in the right direction. 



That professional skepticism needs to be balanced with a sense of boldness to try new things and take some risks. You need both to be successful as a leader in AI.

Everything that makes a human human. Once we take the robot out of the human, we need to give the leaders the skills that often get overlooked - empathy, being visionary, coach and mentor people, problem solving etc. This all start with the leadership

Growth mindset and being close to customer workflows. No matter the technology the most important aspect is to understand the embedding of the new solution in customers workflow.

Your question about leadership in the age of exponential tech and AI is spot on. From my 30+ years in IT and background in education, I've found three core leadership pillars that resonate:

Strategic Insight: Navigating tech evolution demands visionary leaders. With a knack for data management and analytics, I've seen how foresight drives innovation.

Ethical AI Guidance: Embracing AI calls for ethics. Drawing from my values as a Bible-believing Christian and a patriot, I advocate for responsible AI that benefits all.

Empowering Collaboration: Innovation thrives in diverse, collaborative environments. As a cross-disciplinary communicator and educator, I believe in harnessing collective strengths for exponential growth.

Here's to leadership that thrives amidst AI's exponential rise! Looking forward to continued engagement with this dynamic community.

In the age of rapid technological and AI innovation, leaders may need below key capabilities:

Agility:
- Quick, adaptive decision-making in the face of change.
- Continuous learning to embrace new technologies and concepts.
- Flexibility in adjusting strategies as technology evolves.

Process Innovation:
- Adopting iterative development like Agile or Lean.
- Promoting a culture of experimentation and risk-taking.
- Regularly updating and streamlining workflows for efficiency.

Understanding of Digital Technologies:
- Basic literacy in current tech trends and AI advancements.
- Envisioning how technology integrates into business models.
- Aligning with tech teams for unified business and tech goals.
- Grasping ethical implications of technology decisions.

In a nutshell, leaders today must be adaptable, innovative in processes, and tech-savvy to navigate and excel in the digital age.

When AI growth is organic, how can a linear approach/thought process work or last? 


Either growth would need to be curbed or leadership will evolve using multifaceted approach. Being on the brink of change, evaluating every idea as a possibility, with an open mind would allow strategy to be in alignment with growth and evolving compliance, as changes are happening faster than we can think, see and adapt.

In an era of exponential technology and AI innovation, there are several fundamental leadership capabilities that are crucial for success. These capabilities differ from previous leadership styles due to the unique demands and complexities associated with these advancements. Here is a comparison between leadership styles from the past, present, and future stages:

1. Past Leadership Style:
 - Command and Control: In the past, leadership style often emphasized hierarchical decision-making and a top-down approach. Leaders were expected to possess technical expertise and provide clear instructions to subordinates.

2. Present Leadership Style:
 - Collaborative and Adaptive: In the present, leadership style has shifted towards collaboration and adaptability. Leaders recognize the importance of engaging employees, fostering teamwork, and being responsive to change.

3. Future Leadership Style:
 - Visionary and Tech-Savvy: In the future, leadership style will need to embrace a visionary mindset and be grounded in technological expertise. Effective leaders will be required to understand the potential of exponential technologies and AI innovation and strategically leverage them for organizational success.

Key Leadership Capabilities for the Future:

1. Technological Literacy: Leaders must develop a deep understanding of emerging technologies such as AI, machine learning, robotics, and blockchain. This literacy enables them to identify opportunities and make informed decisions regarding their organization's technological investments.

2. Continuous Learning: With technology advancing rapidly, leaders must be committed to ongoing learning and development. This includes staying updated on the latest industry trends, attending conferences, and engaging in continuous education programs.

3. Adaptability: Future leaders must be agile and adaptable, capable of responding swiftly to disruptions and changing market dynamics. They should be comfortable with uncertainty and be able to inspire their teams to embrace change.

4. Ethical Decision-Making: As AI and technology play an increasingly significant role, leaders must prioritize ethical decision-making. They should establish ethical guidelines, promote transparency, and ensure responsible AI usage within their organizations.

5. Visionary Thinking: Leaders must possess a clear vision and a forward-thinking mindset. They should be able to communicate a compelling narrative and inspire their teams toward a shared future direction.

6. Collaboration and Empathy: Building collaborative and empathetic relationships with team members, stakeholders, and customers will remain crucial. Future leaders must foster a culture of inclusivity, open communication, and empathy to maintain high levels of employee engagement.

Overall, future leadership in the era of exponential technology and AI innovation requires a unique blend of technological expertise, adaptability, ethical decision-making, visionary thinking, collaboration, and empathy. Successful leaders will be those who can navigate the complexities of rapid technological advancements and inspire their teams to leverage these advancements for growth and innovation.

As a leader your compass must be strongly aligned to the organization's vision and mission. With AI, there are going to be way more options, but that shouldn't lead you astray from the core of the company.

1) willingness to write off sunk cost / past work in favor of things that are clearly superior, no matter how painful or unpopular

2) C-level mandate that every single person/department/function learns to fully embrace and leverage generative AI. Not optional. Not tomorrow or next week. Now.

3) Proper training, guard rails, governance, privacy and security rules etc. to ensure appropriate use of the tooling.

4) Focus on what makes your company and product special, and leave the plumbing to the hyperscalers and dedicated companies like OpenAI. Trying to compete with them or recreate what they have built is a distraction you do not want or need.

5) Accept that a tsunami of job losses is inevitable, and that new opportunities and jobs will soon follow. Prepare for the coming flood of layoffs and how you plan to manage through that. It won’t be pretty or pleasant. It will be swift, painful, and disruptive. We are already seeing the first wave of this in tech and that is just the tip of the iceberg.

Vision.


A major headwind in AI innovation is when the consumers and DS/AI products cannot understand it, refuse to adopt it, or fail to evolve their existing processes with it.



To take AI innovation across the finish line, it will require assessing organizational readiness, improving data literacy, and driving large scale philosophical changes in thinking and processes, especially in larger, older organizations. 


Is it the job of the leader to a envision the future state organization driven by Data/AI (beyond the model and product development), and most importantly, sell that vision to their data teams and downstream stakeholders. Otherwise, organizations will be hard-pressed to keep up.

Leading with empathy is one key element. Acknowledge any fear, hesitation, or uncertainty that exists with respect to technology or artificial intelligence. Show others your feelings, let others join you in exploring together and experimenting together. Learn and interate on what you try and what you learn. Empower others to do the same. Technology moves quickly. We need to be comfortable with being uncomfortable at times.

Stealing from a book I just finished "The Ideal Team Player" I'd suggest it's the same capabilities that have always been needed to deal with change, chief among them, Teamwork.  You have to be Hungry: Have a desire to move forward and explore new technology and AI.  You have to be Humble, realize that you always have more to learn in these areas and always will.  And you have to be Smart, not just in the IQ sense, but more importantly EQ: You will have to understand, empathize, and support those in your organization that feel threatened by new technology and AI in order to implement it most successfully.

1. Leaders should have a clear strategic vision for how AI and data can be leveraged to achieve organisational goals.
2. Leaders must be skilled in making data-driven decisions, understanding the implications of data analysis, and using insights to drive innovation and competitive advantage.
3. Leaders should be committed to continuous learning to stay updated with the latest developments and best practices in the field.
4. Leaders should inspire their teams to explore creative solutions and experiment with AI and data analytics to drive innovation within the organization.

Being a lifelong learner is key. Staying curious about new tech and how to apply innovative developments in your specific business context. 


Almost everyone agrees we must learn new skills and retrain (or even reinvent) your careers, but the perseverance factor is also a key. 


For example, I heard a social media statistic that 95% of bloggers give up. (See this piece for more details: <a href="https://feveredmutterings.com/95-percent-bloggers-give-up?ref=pulseqa">https://feveredmutterings.com/95-percent-bloggers-give-up</a> ) 


Message: If you believe in something, stick with it. Learn, apply, grow, adapt (change), and succeed.

Vision and Charisma.

Skills can be acquired. 
Vision and charisma are innate talents that define true leaders.

Patience and curiosity. Not everyone is tech savvy so patience will go a long way. Curiosity because as the technology advances, there will undoubtedly be unforeseen, or unexpected uses for AI in particular. AI will go far beyond the Large Language Models that are most popular at the moment so some unfettered curiosity will potentially unlock all kinds of interesting uses and capabilities for users.

Avoid the mistakes of the past when we have seen similar exponential growth in technology.  1) Avoid blocking new things - rather embrace and shape the path of adoption/use 2) Understand the risks and manage them

Modern leaders need self-awareness &amp; empathy coaching and development.  They need to be able to identify, stand in and speak their core values in every conversation. They need to have a continued focus on the importance of personal development and growth of each and every employee. Leaders who continue to invest in technology without an equal investment in people development will fail. The short-term transactional way that leaders are treating people will be their ultimate downfall because good talent wants to work for good leaders who are invested in their growth and development. So many organizations have their eye on the fancy stuff yet are turning a blind eye to the fundamentals in how to get the most out of their people. It's all psychology, hierarchy of needs. Continued development of leaders EQ skills will be the winning formula. Like I say AI+EQ= WIN

I'd say change capacity. Adapting fast to change (and understanding it's impact and impacted group) would help navigate and respond better (Tech, leadership, People, etc).

I'd think visionary thinking, to set a clear , strategical direction with a strength in adaptability and flexibility to be open to change and be able to adjust strategies as technology changes and matures.

- The continuous embracing of change (in a much faster cyclical rate than ever before) with curiosity, not pessimism. The opportunity cost of not at least attempting to be an early adopter is higher than ever. 

- The need to be able to know more in-depth foundational knowledge about the backend technology, published research, etc. in order to apply to specific, individual use cases.

- The ability in layman's terms to communicate or translate AI and other innovative technology across levels of knowledge or different backgrounds to have a unified vision.

- That optimism and early adoption needs to be balanced with realistic acknowledgement of risk, security, privacy, etc.

I believe agility (ability to face change gracefully and quickly) is now imperative and a professional quality, not simply something to "install" in teams or departments. So much technology can become noise for most, yet great leaders will be able to create a space in which their teams can offer experiments into untapped areas. From new products but also new business models.



These leaders cannot think alone in this level of disruption with AI and what's coming next. And so, being surrounded by amazing people will be critical. While you can strive to hire the best, fostering creative environments goes a long way even with what you'd consider your average employee.

Hello, mine are:


✅ Strategic vision and Charisma.


✅ Capabilities for promoting and encouraging the cultural innovations.


✅ Knowledge of the governance and ethical involved topics.


✅ Capabilities to get the Business involved and committed to meet the new languages.

In navigating the dynamic landscape of exponential technology and AI innovation, fundamental leadership capabilities become the compass for sustainable success. First and foremost, visionary leadership is paramount—a leader must articulate a compelling narrative that aligns the team with the transformative possibilities of emerging technologies. Adaptability is equally critical, fostering a culture that embraces change and seizes opportunities amidst uncertainty. Collaborative prowess is indispensable, as effective leadership thrives on diverse perspectives and interdisciplinary collaboration. A commitment to ethical stewardship is non-negotiable, ensuring that AI innovations are harnessed responsibly and with a keen awareness of societal impacts. Lastly, a relentless focus on cultivating a learning organization empowers teams to continuously evolve in tandem with the rapid advancements in technology. In this era, leadership transcends traditional paradigms, requiring a synthesis of foresight, agility, ethics, collaboration, and a dedication to perpetual learning.

Cross-functional leadership and synthesis. Ability to quickly understand value creation opportunities that can solve a business problem and guide relevant teams to be involved in delivering the AI “project” in the most agile and efficient way is important. The people to be involved tend to be from various domains, hence leadership qualities to manage such and pull it all together in a compact manner.

Honesty in acknowledging you don’t know everything.

Wisdom (or seasoning) to discern FUD/hype from actionable data.

Comfort with ambiguity since no one realistically knows the answers at this point.

Energy to inspire a team to keep looking for new functionality or options.  Free thought is contagious, as is groupthink.

Stability so that a career won’t suffer if a new technology is given time to heat soak/burn in elsewhere.

Calming demeanor since the information about AI for example says everything will be different, laggards will go out of business and there is no industry consensus on optimal implementation. Staff benefits from a leader’s calm, and better decisions are made.

Being human, being authentic and respecting the strength of people. Technology is a powerful tool, an enabler - and it's driven by people. Therefore as a leader one must trust people over technology.

Fundamental leadership capabilities in the face of innovation will require more focus on the basics: 

• Authenticity

• Human connection

• Strong beliefs in core values

• Using data to inform, not decide

• Accountability

No doubt things are changing quickly, but a strong base of fundamentals will make the most of the innovation tools and technologies.

As Brian notes below, people remain as important as ever. They underlie all else that follows when it comes to innovation. Technology is wonderous, but its real utility comes from those who use it and use it well.

Cautious Optimism is #1 quality that key decision makers should adopt while navigating companies in this tech era. Balance is crucial, at times leaders are blind believers in emerging technologies and skeptics at other times. Approach and experiment new technology adaptation for the right usecases with an open mind and tweak the usage based on learnings/outcomes

I believe that one of the most critical capabilities/competencies is to have a good understanding of the stakeholder community - understanding their drivers, mandates, challenges and "what keeps them up at night". In this way, it is possible to align innovation and technology generally to what "speaks to them".

In an era of rapid technological advancement, effective leadership hinges on a blend of technical understanding, innate curiosity, a relentless drive to learn and apply, and a clear vision. These qualities enable leaders to navigate, innovate, and guide their teams confidently through the complexities they will encounter.

Domain knowledge will be a valuable asset for any leader since general knowledge is being quickly replaced by technology and LLMs. Focus on data driven decisions might enable leaders to create an edge with the competition.

A combination of an open mindset, desire to understand these fundamental technology principles, and acknowledgement of calculated risk is key to any leader in the era of exponential technology innovation. Those traits aren't worth much though if you can't leverage them for strategy of future use cases, opportunities for improvement, or identifying places where you will get left behind. AI and tech innovation eliminates a lot of the time consuming work to identify the data, trends, patterns, etc. and emphasizes the need to be able to strategize future direction with the information presented to you.

Two capabilities (1) strong IT governance (2) effective cyber security.


Strong IT governance and Cyber security will be a fundamental (must be default) skill for all organizations to be effective and efficient in the era of exponential technology and AI innovation. However, both should be thought in a suffice manner to enable AI &amp; technology optimization.

Being humble, eager to learn via reverse mentoring, empower to test and learn celebrating failures, empower to shorten delivery cycles

In addition to the great answers already, I would add the value of not thinking in absolutes. Generally, the outputs of AI (at this point) are not guaranteed to be accurate. Instead, I ask staff who are testing AI to think about it as 'progression over perfection'. For example, a task that may have taken 1 hour previously to write from scratch, now takes 10 mins of review time instead.

Any large companies created "Digital" Teams and often they were not under the CIO org.  We saw the emergence of Chief Digital Officer (CDO not the Chief Data Officer) in some of the companies, to identify the new Digital revenue opportunities leveraging the emerging technologies like AI, IoT, Digital Twins, especially in the companies that have physical operations and are not purely services companies.  Such Digital teams, have the culture of experimentation and often looked at use of Digital Platforms as the building blocks for these new capabilities with monetization of data and insights in mind.

Fundamental leadership capabilities needed for exponential technology and AI innovation:


- A clear strategic vision for these technologies and and understanding of how it can impact their business or the industry.


- The ability to lead collaboration and build partnerships to work towards common visions and goals.


- Be flexible / adaptable to changing technology, and markets and be willing to pivot strategies needed to adjust to curves or change that will happen.


- Aware enough to be able to identify and mitigate risks.

For me those organisations that are using the EXO2 methods are making strides in sustainable growth with the 6 D&#39;s.  
Digitisation: This refers to the process of converting analog information into digital format. It allows for easier storage, manipulation, and distribution of data. For example, the digitisation of music transformed the industry from physical CDs to digital streaming platforms like Spotify.


Deception: Deception occurs when exponential technologies are in their early stages and may not seem significant or disruptive. However, their impact grows exponentially over time. An example of deception is the early stages of electric vehicles, which were initially seen as inferior to traditional gasoline-powered cars but are now becoming more popular and disruptive.


Disruption: Disruption happens when exponential technologies reach a tipping point and fundamentally change an industry or market. Examples include the disruption of the taxi industry by ride-sharing platforms like Uber, or the disruption of the hotel industry by Airbnb.


Demonetisation: Demonetisation refers to the reduction or elimination of the cost of goods and services due to exponential technologies. This can make products or services more accessible and affordable. For instance, the cost of genome sequencing has dramatically decreased over time, enabling personalized medicine and healthcare.


Dematerialisation: Dematerialisation is the process of replacing physical products with digital or virtual alternatives. This allows for greater efficiency and reduces resource consumption. An example is the dematerialization of books into e-books, reducing the need for physical paper and printing.


Democratisation: Democratisation involves making resources, knowledge, and opportunities accessible to a broader audience. This allows for greater participation and empowerment. Examples include the democratization of education through online platforms like Khan Academy, or the democratisation of finance through crowdfunding platforms like Kickstarter.

What are the fundamental leadership capabilities that are needed for an era of exponential technology and AI innovation?

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