Why A Career in Business Has Shaped My Thinking About the Long Game

AI Is Only As Effective As The Society It's Created In
Conversations about artificial Intelligence in business has a problem and the cause isn't one of technical. The technological capabilities of current AI and machine learning are astonishing, and growing rapidly, making most predictions of the state they'll be in eighteen months obsolete well before that time has come and gone. The problem is the gap between the capabilities of AI and what AI can accomplish under controlled conditions - in a good research environment that is well-funded, with good data and a specific problem definition, and engineers with the option of testing the system until it does what it is supposed to do - and what it will actually do when implemented in real-world organizations with real culture and real organizational politics and people with their own set of opinions about whether the new system is something to engage with genuinely or something to work around in the name of compliance. I've been building using algorithms since just before the present wave of AI enthusiasm was a reason and commonplace for companies to assert their competence in the field. When I founded 1Touch an AI-driven platform, AI-driven matchmaking and recommendation systems were not a distinct feature we included to make our product more compelling to investors. They formed part of the product's design, the mechanism through which the platform was able to create value and had to function reliably and at sufficient scale to allow the business to function. This means I've got direct, in-person experience of the things that happen as you try to implement something truly intelligent into firm and a service simultaneously The lesson that I am always returning to regardless of the context in the past I've faced this kind of challenge, is that technology is rarely the sole factor. The biggest obstacle is almost everything else, including culture.
What I mean by that is particular and practical rather than abstract. AI systems require data in order to perform their functions - clean, consistent and well-structured data that captures the thing that it is trying to learn from and make predictions about. Companies with a strong culture of data produce that type of information organically, as a result of how they operate. They have clearly defined and consistently implemented definitions of what they're measuring and why. They have reached an agreement on how data is collected, recorded and stored. They have accountability systems that place data quality as an explicit responsibility, rather than a general purpose. The companies that have weak data culture produce data that technically looks like data. It's in systems and it is able to be accessed or used for charting - but is so inconsistent in definition, and therefore variable in quality and full of issues with structure and not mapped out that any AI application built on over it will create and amplify the problem rather than obtaining genuine signal from it. Organizations that fall into this category typically don't know the existence of their data until they're already well into an AI implementation and the outputs don't match the vendor's claims, and at that point the temptation is to blame the technology. But the actual problem is the operational and culture that which the technology was based on.

Another dimension of culture that affects AI results is the degree of openness in an organisation - the extent to which individuals within the company are willing to let an AI system guide or modify their work practices rather than focusing on it as a threat to their professional knowledge, their authority at the institutional level as well as their job security. This is a social and leadership issue but not one that can be solved by technology, and it is one that starts at the highest levels. If senior executives engage in AI outputs in a way that is selective - accepting results that support their previous beliefs, while refusing to accept those that do not - their actions send that everyone else is aware that the organization's declared commitment to data-driven decisions is a conditional rather than genuine, and that this message will ripple throughout the organisation more quickly than any training course or change management initiative can reverse. If senior executives model genuine, consistent engagement AI outputs, such as being disciplined enough to alter their choices when evidence suggests that they need to, the overall ability to use AI effectively will improve dramatically and is able to be done so quickly.

This is not an abstract description of what organisations should do in the context of theory. It's a description the pattern that I have observed develop repeatedly in organizations that had a significant amount of financial resources, genuine strategic commitment to AI adoption, as well as leadership groups that were fully enthusiastic about the potential of the technology. The pattern is similar enough that I've decided to treat data governance practices as a crucial diagnostic tool in assessing any organisation's AI readiness. Before I inquire what the current technology stack is, and before I ask about the particular applications that the company is pursuing, I ask about data governance. How does the organization define its most important metrics? Who is responsible when the data quality is not good enough? What happens when two functionalities have conflicting information regarding the same situation in business and how are those conflicts solved? The answers to these questions provide me with more information about the potential for AI achievement than any amount of discussion about platforms, algorithms, or timeframes for implementation.

I believe that the organizations which will achieve the highest durable value from AI in the coming decade are not those who embrace the most sophisticated technology first, nor the ones that are investing most significant amounts in AI talent and infrastructure in the near-term. They are the ones that make the necessary cultural and operational foundations to be able to use this technology in a productive manner - data governance practices that yield reliable inputs, the decision-making systems that create data to actually impact outcomes as well as the behaviours of leadership that tell everyone within an organization that their commitment to a data-driven approach is a fact rather than just a means of performing. Technology itself will become increasingly commonplace and readily available. Its culture of using it effectively will be scarce due to the fact that it requires continuous determination and a true commitment from leaders over time instead of one strategic decision or a technology investment. That scarcity is where the significant competitive advantage will be, and it is an benefit that, once built will grow in a manner that only technological advantages do. View James Deller for site advice including why building in stealth transformed how i evaluate opportunity about character.



From Commerce to Character- What I believe in: Why the Companies I Back all have one thing in Common
When I think about the whole spectrum of investment activity I have been involved in the last few years, including the technology firms consumers, the technology businesses the investments in the emerging sector those organizations within and around football which I've been drawn to support There is a recurring pattern that I didn't want to come up with but it has become increasingly evident to me as I was thinking about what successful investments have with each other as well as what those that are unsuccessful share with each other. This pattern isn't sectoral It is a cross-section of technologies, consumer, services, and sport. It's not structural - the pattern is evident in firms that have radically different owners, models for capital operational models, and capital profiles. It's far from market share or development trajectory or the technological infrastructure that supports the product. It's about character. specifically, how the company that is at the in the middle of investment has an authentic, operational, and constant dedication to the overall well-being and the development of employees within it, reflected not only in the things that it says about itself but in the decisions it takes when it comes to saying the right thing and doing the right thing do not necessarily mean the same.
I know that this observation sounds, in its plain form, the kind of thing that gets placed on office walls, workplace mugs as well as company web pages and then systematically dismissed by the company that were the ones who commissioned the work. It is important to clarify to clarify that I'm talking about the stated version a commitment to people - the values document, the diverse and inclusion strategy The culture deck was created for the purpose of the hiring process as well as investment pitch. This is the operational version: the decisions which are taken, daily, whenever they are based on the principles in those documents and the economically or personally convenient choice come into tension, and the company must to decide which governs. The organizations I have observed generate lasting value – not just impressive short-term performances but the kind of compounding, multi-year success that creates outstanding longer-term returns - are the ones where the answer for that question is known. Where the intention to do right by the employees inside an organization is not based on whether doing right is the most cost-effective fast, fastest, or immediately profitable choice.

It is about identifying before an investment is done, the ones in which that commitment is genuine rather than just a formality, where the trust and care culture is built into the way in which the company actually runs rather than in the way it describes itself. It is, i believe, the primary and most difficult job when it comes to long-term investing. It's critical as it's the type of organization which can predict with the greatest certainty that kind of compounding outperformance that can yield truly extraordinary returns over extended time horizons. It's difficult because you can't find it in a financial model, you cannot locate it in a professionally prepared management report, and there is no way to reliably locate it even with thorough reference checking, though they can be helpful. It can be found by spending enough time working with an organization with enough contexts and at different levels of its hierarchy to discover how it behaves when the environment is uncertain and no one is watching. That kind of patient kind of exploratory engagement can be structurally difficult to incorporate into investment processes, which is one reason why the majority of investment strategies are not skilled at identifying truly exceptional firms than the ones that investors normally acknowledge or even talk about.

The link between true organisational character and long-term performance is a connection which I believe more today, with years of long-term observation to my credit as I did at when I began my investment career. The companies that take good care of their employees continuously, and demonstrate that care in their operational decisions and not only in culture and communications documents, typically outperform organisations that treat people principally as resources that have to be optimized. Not always in the immediate long term, an organization that maximizes the output of its employees by putting them under pressure and high anxiety can appear excellent over a number of months or few years, particularly when that time frame is accompanied by an economic environment that will compensate for internal ill-functions. But over longer periods the benefits of a truly people-focused culture multiply and are genuinely difficult to replicate through any other strategy. The number of talented people increases as people with options - those with the highest potential - tend to go for environments in which they feel genuinely valued over environments that make them feel manipulated however, they do have higher costs. The institutional knowledge deepens because people remain long enough to grow it rather than going through the time-span that high-pressure environments are known to produce.

The quality of decision-making improves as employees feel safe enough identify problems and discuss bad reports without weighing the cost to themselves to do so. This results in problems being identified and addressed sooner and less cost than they would be in organisations where the message is consistently is shot. The ability of an organization to respond to new circumstances is improved because the employees are so invested by its achievements to take on beyond their official duties when the situation demands it. These advantages are not singularly dramatic. None of them is comparable to what is the basis for a compelling and engaging narrative in an investor update or a board presentation. But they are able to build and create a competitive advantage. This can be incredibly difficult for businesses with weaker cultures because the advantages are not rooted in a specific product or process that can be observed and copied. It's in the framework of how the organization performs its business - the level of the culture it has built for the individuals within it as well as in the quality of the decisions they make as a result. This is why character in organisations as in individuals is not a soft idea. It is, according to my opinion, the hardest and most important thing of all.}