Beyond the Algorithms Deep Diving into AI Startup Leadership Insights for the Next Tech Wave

Have you noticed how AI is a hot topic in Malaysia at the moment? Whether you’re chitchatting with uncles at the coffee shop or hanging out with new graduates in Bangsar, the term “AI” is on everyone’s lips! So much so that probably every other startup being launched is an “AI company.” But look deeper and you start to realize that there is a huge gulf between some startups raising millions in funding and delivering nothing more than an expensive chatbot. There are others that, with much smaller teams and less money, are disrupting entire industries. This isn’t about who has the biggest and best GPU or the most highly-qualified PhD from Stanford. What really matters are the insights gained from the AI startup leadership insights. After talking to several industry insiders and observing how some of the bigger players operate, I’ve come to the conclusion. That running an AI startup is completely different to running a traditional software company or an online retailer. It’s like trying to build an airplane while in-flight, with the laws of gravity changing every week.

Is being a “Tech Genius” enough to lead an AI startup?

Example situation, a founder has developed a jaw dropping product from code but finds it impossible to obtain funding. Due to lack of understanding how their product will benefit customers from an investor or funding standpoint. It being able to explain this to investors/founders will enable them to attract the capital they need. In the AI industry, we hear many people discuss technical vs business leadership styles. While engineers can design and prototype great products, engineering experience isn’t always the same as leading a team. Which through the rapid growth of that product across multiple countries. A founder who has been trained or educated in technology may quickly realize that managing a group of 50 engineers through the growth phase of their business is very different than debugging a software application.

The true magic occurs when a founder has a growth-oriented mindset and the ability to be adaptable. Founders must come to the understanding that while the best technology or model is important. That tech or model may not resonate with, or have an impact to, a small business based out of Malaysia. Whereas a tech or model that is simply “good enough” but dramatically impacts a customer’s pain may be the most successful model. I can’t tell you how many times I have seen founders spend months perfecting an algorithm only to learn that the technology no longer applies or that the business has moved past their product offering. If your previous leadership has been in a technical or engineering environment, to benefit from your previous experience should include some form of understanding of what a customer that non-technical/engineering experiences on a given day is.

How do the best AI startup leadership insights handle a “Crisis of Hype”?

We’ve seen many articles stating that AI will take over our jobs or save the world or cook you a plate of char kway teow. Therefore, when there is this much excitement building up regarding a technology. There will be tremendous pressure put on executive teams. Shareholders expect “magic,” but there are limitations to “magic” as technology has its own natural limits. One important aspect of leadership in an Artificial Intelligence start-up is managing the risk of failure and/or crises when the technology fails to meet customer expectations. For example, instead of saying “we crashed the server and you will lose your data”, a good leader would say “we promised our AI to perform X, and now it is hallucinating out of control”. An effective leader who’s courageous will not hide the truth about a failing product or service. Instead, they will pivot and help to manage expectations.

In the next step in successfully executing on a founder’s vision and strategy, instead of stating that “our AI operates perfectly”. A smart leader would say, “our AI is a tool designed to support your human workforce, yielding three times the speed or productivity.” This represents a significant paradigm shift in leadership from providing answers to asking questions and being accountable. Companies like BidaTech AI often serve as support to help ensure that founders can complete these high-stakes decisions without having to deal with the mundane administrative and operational matters associated with managing a company.

What makes a winning team in the era of Generative AI?

Back in the day if you wanted to build great tech, you would usually just hire a group of 10 great tech guys together and be done. In the current landscape of AI start-ups, talent attraction and retention is a much more complex process. You need individuals who can effectively connect both of these sides. I refer to these individuals as “Interpreters.” These are the people who understand how to speak the “innovator” language as well as how to translate that language to the outside world to your clients. If your existing organizational structure only rewards “hardcore developers,” you will create a very unbalanced organization.

The best leaders that I work with build and manage their strategic partnerships early on in order for them to be able to leverage existing solutions rather than trying to build everything from scratch. They leverage existing APIs, collaborate with others and develop teams who know how to create value by putting things together. They build a culture where all employees feel they have the capacity to challenge the status quo. So, when an intern comes up with an idea for a prompt that is better than what your CTO has come up with, does your culture allow that idea to be heard? That is the true measure of modern leadership.

The long game: Staying relevant when the tech changes every 6 months

Let’s consider this, for the last 6 months we have rapidly seen features in AI that were only just new ideas or “hype”. When leading a company in the rapidly-moving world of AI and other technologies, how does one do so when the foundations of your company literally change every day as the landscape changes?

This is where having a growth mindset and being adaptable transition from being a “buzzword” into the basis for surviving as a company. When larger companies, like Google and OpenAI, make public what you are trying to sell. You will have to be able to let go of your “darling” projects and pivot to something else.

Creating a “moat” around your company in the AI world is extremely difficult. It is not just about the code or the framework of your product. To create a moat, it requires data, established relationships, and an ability to change direction quickly. BidaTech AI can facilitate this process in two ways. First, it helps to keep the “boring but necessary” administrative functions of your company streamlined in order to allow leadership to remain highly agile. Second, can agile company will win through long-term businesses with clear vision and strategies as opposed to vested interests or the largest amount of funding.