How to Thrive Amid Disruption: Key Insights


 I had posted on a similar topic a couple of years back, but in a different context. It was based on an interaction I had with a participant in a workshop I had conducted then.

Interestingly, I was recently invited by the Goa Business School, Goa University to speak on the same topic.  What we were really looking at is succeeding in an environment that is constantly changing and being disrupted. By new technologies like AI, new competitors, new business processes. The question for us was, ‘So what does one do to win?’

I related a story from my own professional life.

In a past assignment, I was managing a Travel & Destination services t company. One of our major customer accounts was the national petroleum development organisation and because of the large business quantum, we had an implant operation with a dedicated team. Our service and response levels were appreciated by the client.

As our contract period was ending, the company released a tender for a subsequent period. Believing the client was happy with us, we submitted our competitive offer in line with what we had done during our last successful bid. When the tender was finalised, we were shocked to know that we had lost. When we asked the client’s commercial team, we were informed that we had not complied with the technical terms of the bid. Going back to the drawing board, we found that in the tender document, there had been a small section requiring development and implementation of a Travel management Services, TMS in short, software as part of the client’s intranet, which we had not responded to.

Soon, we had the opportunity to bid against a tender released by the National Gas Company. We noticed that in this tender document too, there was a requirement of implementing a TMS software. This time we were careful enough to comply with the requirement by indicating our willingness to develop. But we again lost the tender! The winner was a competitor who already possessed a fully developed TMS module and had provided a live demonstration of the same to the client.

We had been disrupted. By a new technology, a new competitor, which together had disrupted our traditional business mode, a model which had worked well all these years. The world had shifted, the business need in the environment had changed and the earlier alignment which our company’s competence set had with the environment, had been lost.

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In 1849, French writer Jean-Baptiste Alphonse Karr wrote, “plus ça change, plus c’est la même chose” which in English translates to “the more things change, the more they stay the same.”

The above perspective is possibly at the heart of why we get disrupted. The human mind loves continuity and certainty. These allow us to make sense of what we see as stuff we are familiar with, which our brain does using mind models based on our past experiences. But what happens when we are faced with something we have never encountered before? Our brains somehow try to force fit these unknown inputs into one of our mind models. Even though we remain unaware, this ‘force fit’ sense making process leads to the observed inputs getting distorted, some parts get amplified while others which do not fit, get discarded. Thus, when we probabilistically try to predict, often we fail and get disrupted.

The disruptive world allows us to reside in a narrow band in the present with a hazy and uncertain future in front and the inability to take recourse of the past.  Thus to successfully negotiate we need to shift away from our usual probability-based mindset into a mindset of possibilities.

In the session I showcased certain action steps which would support us to do the shift.

I got around to explaining that the first Action step is to create a context for ourselves within our own domain through using hard trends in three areas viz. Demographics, Regulatory and Technology (DRT Context). The hard trends that we uncover become the framework of the context we are creating. Our context would allow us to view every situation in a particular manner.

At this juncture a participant asked for this step to be shown through a case study or live example. I elaborated using the example of the Aviation Industry.

Demographics: Major customer profile shift is occurring viz. growth of young budget traveller and the elderly. Communication technologies is leading to the decline of Business travel. Climate change is shifting the seasonality of leisure travel. Customer behavior is also changing, with short booking windows—often a week or two with fewer travelers making plans far in advance.

Regulatory: Climate change is leading to increased incidences of air borne diseases requiring changes in booking process e.g. Pre-flight testing, need for registration of previous and past travel etc. Technology is allowing airlines to have seamless connectivity within the travel ecosystem to increase demand + assist governments and regulators in creating worldwide / regional standards for hygiene as well as operations.

Technology: Integrated and contact less handling at the airport regarding access viz. boarding pass issual, traveller identification through eye scans, baggage check-in etc. Seat allotment keeping in mind traveler profile, past medical history etc.

Action Step 2 is about using our above created DRT context to make three lists. List of all that we are certain of, list of things we know, and list of things we can do. If we put in the requisite time to make the lists, new possibilities would start showing up for us, a reflection of our improved competence to shift into a possibility mindset.

Action Step 3 is about further sharpening the saw for possibility mindset creation. We do that by unplugging ourself from our present clutter and challenges, then plugging ourself into the future and then use the ‘hard trend’ context created in Step 1, the 3 lists of being certain, knowing and doing ability in Step 2 to do anticipatory & future back thinking through a structured enquiry.

Action Step 4 is about Relational Assimilation which is identifying and defining groups relevant to our business and optimising the group boundary level interactions to advance our own interests. It thus is all about addressing stakeholder concerns. So, who are these stakeholders? They are wide ranging entities. Starting from the company Owners. Employees, who are the internal stakeholders to Customers, suppliers, our banks and financiers- our external stakeholders. But we also have environmental stakeholders viz. local community, society at large and the Government and regulatory authorities. Each of the stakeholders impact the organisation and ourselves in some way, some directly, others indirectly. To ensure effective relational assimilation, we need to exhibit certain qualities in our interactions.

  •  Honouring or Integity of our word. Have we ever considered the fact that we are really equal to your word, nothing more , nothing less? We might see ourself as an individual with certain looks, qualifications, competencies etc. But to the outside world, we are perceived as our word. So, what is ‘Honouring our word’? This means keeping our word and as soon as we realize we are not able to do so, we need to inform all effected parties that we cannot keep our word within the time frame indicated earlier, offer a new time frame to do it and declare that we would take care of the consequences if any, of not keeping our word as per the earlier indicated time frame.

Can you see from what I just said that while it is not possible to keep our word under different situations, we can always ensure that we honour our word?

  • Being and acting consistent with who you are: This is all about being authentic. Bill George, former CEO, Medtronics and Professor of Leadership at Harvard Business School, concluded, “After years of studying leaders and their traits, I believe that Leadership begins and ends with authenticity.”

So how does one improve one’s own authenticity? Simply put, it is by being authentic about our inauthenticities’. We need to be publicly authentic about our inauthenticity with those around us for whom this inauthenticity matters.

  • Listening with no intention, no judgment, no Right or Wrong:. This is called Active Listening. A special kind of listening that we use to allow the speaker to articulate his or her own strongly held positions, views, rationalisations, justifications and unexamined beliefs. When we engage in active listening, we do it without colouring our own mind with our own intention, own judgments and our own views about what is being said being right or wrong. You could start with practicing active listening once a day and then slowly increasing the number till the trait becomes part of you.

As you make Integrity, Authenticity and Active Listening part of your repertoire for dealing with your stakeholders, you will see the significant upswing in empathy, respect and trust in your dealings. Action 4 is thus the catalyzing agent to ensure the achievement of the action steps you had created based on the first 3 actions.

With the participants

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In the ultimate analysis, Winning in a disruptive world is all about  that ability to See, Comprehend & therefore Interact with life (and situation) differently than most people do. ‘Winners of a disruptive world SEE….and come to live in a different world.

In Learning….. Shakti Ghosal

Impact of AI on Ethics, Morality, epistemology, and ontology. The nature of human-AI relationships and the implications for our sense of Identity


First the aspect of impact of AI as a fledging technology on Ethics and Morality. This becomes important as the influence could span across various aspects of human life, society and a ‘code of conduct’ for responding to situations. Another impact could be certain unintended moral consequences arising out of AI, such as enhancing of social inequalities and taking away of human jobs.

 Secondly, the aspect of AI’s impact, or shall we say, its interrelationship with the concepts of Epistemology and Ontology. Epistemology is all about how our mind perceives reality. Our sense making of a situation provides us knowledge. AI algorithms are all about sense making and predictions. Deep Learning and neural networks might make a prediction, without any underlying explanations, which may be contrary to what we might be thinking. Ontology is the science of ‘Being’, of being something. As AI’s capability advances, it would show up as an entity with complex behaviours and responses. This prompts ontological questions about the nature of these behaviours and responses—how should we conceptualize AI’s ability to learn, reason, and interact with the world?

So, how do we determine the impact of AI on fundamental issues relating to Ethics and Morality? This aspect becomes particularly important because at the core of AI and its capabilities lies the requirement of enormous data streams. Since most of AI algorithm predictions relates to likely human behaviour and response, the data relates to humans. And this is where the fault line between usage of harvested data and the ethics and morality of using such data for AI based predictions, emerges. This is even beyond the realm of privacy laws. Fundamental questions about the consent, transparency, and control individuals have over their personal information remain.

AI, being a general-purpose technology, its use and spread is increasing exponentially in terms of organisations, individuals, and domains. This interaction of human-AI relationships is evolving rapidly, as AI technology evolves. These relationships are raising profound questions about our sense of self and identity. This becomes important aspects to deliberate upon.

Privacy Concerns: How AI systems handle personal data and influence decision-making processes can affect the consent, transparency, and control individuals have over their personal information.

Bias and Fairness: AI algorithms can perpetuate or amplify biases present in the data they are trained on, leading to unfair outcomes. Addressing bias in AI systems is crucial for upholding principles of fairness and equity, which are fundamental to moral frameworks.

Human jobs & Processes: AI technologies can disrupt job markets, potentially displacing human workers. Socio-economic considerations include ensuring a just transition for affected workers and promoting AI-driven benefits equitably.

Moral Principles & Decision Making: AI systems are increasingly being tasked with making decisions that have ethical implications, such as in healthcare (e.g., medical diagnostics and treatment recommendations) and autonomous vehicles (e.g., decisions in potentially fatal situations). Questions arise about their moral agency and whether they should be held responsible for their actions.

Epistemology and how knowledge shows up :  As has been mentioned above, AI systems increasingly play a role in decision-making processes across various domains, from medical diagnostics to legal judgments. This challenges traditional notions of epistemic authority—who or what can be considered a reliable source of knowledge and expertise.

AI’s form of existence: As AI technologies evolve, they exhibit increasingly complex behaviors and capabilities. This prompts ontological questions about AI’s nature of being —how should we conceptualize AI’s ability to learn, reason, and interact with the world?

In the above context, Executive Coach Frank Marinko and I discussed the pressing issues on the development of AI and what that means for society at large.

  • Does AI possess moral agency? 
  • How can you design AI systems to make ethical decisions?
  • Are there concepts such as moral reasoning and ethical behaviour in machines?

You can listen to our podcast on this link: https://audio.com/frank-marinko/audio/frank-and-shakti-podcast-2024-07-30-16-01-gmt-10

In Learning……. Shakti Ghosal

Unveiling The Essence of AI and Leadership in the Future


Frank Marinko and myself, both international Executive Coaches and Facilitators, grappled with this question using the critical thinking methodology, in a joint podcast. You might enjoy the discourse and the podcast link is given at the end.

If we are to deliberate on this question, we need to get to the essence of two aspects mentioned. First, AI or Artificial Intelligence as we call it. Second, ‘to lead’ which is all about Leading or Leadership.

So, what really is the essence of AI? That lies in its ability to mimic and augment human intelligence and decision-making processes using computational algorithms and data. At its core, AI systems can analyze vast amounts of data, recognize patterns, infer relationships, and make predictions or recommendations.

The important aspect to be kept in mind is AI’s ability to ‘learn’, its adaptability and the ability to improve over time. Machine learning algorithms, for example, can automatically adjust their behavior based on new data, allowing AI systems to become more accurate and effective with experience.

And when we think of the essence of Leadership, it is really all about envisioning a future which speaks to all stakeholders by addressing their concerns or satisfying some needs.  Leadership thus involves directing and coordinating the efforts so that the full potential and collective success can be realised.

With the dawn of computers seven decades back, Alan Turing had considered the question, ‘Can a machine think like a human?’ and came up with a test now known as the Turing Test. With the advent of AI, several Artificial Intelligence programs have already passed the test. The purpose of this question seems to be a deep-down threat to our unique ‘leadership ability’ that we see emanating from AI. There are concerns that AI will not only start doing complex and decision-making tasks replacing humans but in the long run go beyond human controls and frameworks.

This idea of technological obsolescence where technology renders humans obsolete, and takes over most of human jobs and work, is a concern that has been raised in discussions about AI and automation. However, we humans have creativity, empathy, intuition, adaptability, and the capacity for complex moral reasoning, which are integral to many aspects of work and life. These qualities enable humans to excel in areas such as innovation, problem-solving, interpersonal relationships, and above all Leadership.

The idea of AI achieving consciousness is another topic of much speculation and debate. Consciousness is a complex and still poorly understood phenomenon, and whether AI can truly achieve it is uncertain. Even if AI were to achieve consciousness, the process of its development would likely still involve human input and guidance. AI systems, as they exist today, are created, and trained by humans, and any future developments in AI consciousness would likely follow a similar path.

However, it is worth noting that AI can already exhibit forms of “thinking” and problem-solving that are quite different from human cognition. Machine learning algorithms, for example, can process vast amounts of data and recognize complex patterns in ways that humans cannot.

Whether AI should create its own thinking framework independent of human influence is a philosophical question with no easy answer. It raises issues of autonomy, control, and ethics. If AI were to develop its own thinking framework, it would still need to start and remain ‘biased’ by frameworks that align with human values and approach. It thus seems that in the foreseeable future, Humans would continue to lead AI, leaving aside the esoteric visions of the Matrix and Terminator movies.

To effectively lead AI development which would synergise with human development, adherence to principles such as transparency, fairness, accountability, and human-centered design would be needed. We would then be able to harness the full potential of AI while minimizing harm. These principles should serve as guardrails rather than roadblocks, helping to steer AI development in a direction that aligns with human values and promotes the common good.

Podcast link : https://audio.com/frank-marinko/audio/podcast-1

In Learning……. Shakti Ghosal