There’s a story that circulates in business schools about Ethan Mollick, a professor at the Wharton School of the University of Pennsylvania, who used AI tools to produce a full product launch plan. A complete thing with an email campaign, a live website, and a social media strategy made in under thirty minutes. Again, to be clear: 9000 words. Audio assets. A working website. Work that would ordinarily consume several weeks was compressed into half an hour. Fintech entrepreneur and investor Artsiom Liashanau opens with this example not to celebrate the output, but to make a different point entirely. AI is not just speeding things up. It is changing how founders think.
His argument is grounded in a distinction that sounds simple, but carries significant implications. The traditional entrepreneurial archetype was an ‘executor’. Value was measured in volume: how much code you shipped, how many decks you produced, how quickly you cleared your inbox. The more you personally delivered, the more indispensable you appeared.
Artsiom Liashanau, a fintech practitioner with over a decade of C-level management experience, argues that AI systematically dismantles that logic. The operational layer – writing, design, analytics, prototype builds, routine reporting – is increasingly absorbed by LLMs. What remains is precisely what no model can yet replicate:
- Strategic thinking
- Contextual judgement;
- The ability to make sound decisions when information is incomplete and stakes are real.
So, the founder’s role, as he frames it, is finally doing wha’ts all the training are failed to do. You can now shift from a ‘performer’ to a ‘conductor’ type. Yes, you are no longer write the code. You decide what product is worth building. You no longer draft the emails – you design the communication strategy. You stop making the slides and start shaping the vision. It’s all you meant to do.
The practical implication is life-chenaging. Liashanau recommends entrepreneurs divide their workload into two distinct categories. The first covers everything with a defined objective and a measurable output, loke copy drafts, analytical reports, product prototypes or data summaries. These should be delegated to AI. The second covers everything requiring empathy, ethical reasoning, contextual understanding, or genuine strategic discretion. That stays with the human – and must be that way.
The outcome isn’t simply a lighter to-do list. It’s a more leveraged one: less time spent on execution, sharper attention directed where it actually matters.
The shift in tempo is equally significant. Founders once operated in weekly cycles – a hypothesis formed on Monday, an MVP ready the following month, test results arriving weeks after that. The AI-native entrepreneur Artsiom Liashanau suggests increasingly measures iteration in hours rather than weeks.
When testing a new idea costs hours instead of months, the emotional weight of failure changes. The fear of being wrong gives way to the appetite for experimentation. This is the environment that has given rise to what practitioners now call the one-person startup: a solo founder who, armed with no-code platforms and generative tools, can ship a working web application within a week – without writing a single line of code. This will be an MVP to form a team around.
But Liashanau is careful not to frame this as a straightforward acceleration story. Speed and abundance carry their own cognitive hazard. Where founders once struggled with analytics paralysis – too much data, too little clarity on what to do with it – they now face what he describes as the possibilities paralysis.
When an AI system can generate a hundred strategic options in sixty seconds, the bottleneck is no longer ideation. It’s judgement. To navigate this, he proposes a three-part filter for evaluating AI-generated options:
- First, alignment: does this fit your values and the direction you have set for the business?
- Second, feasibility: can you actually execute this with the resources currently available?
- Third, impact: does it solve a genuine problem for real people? Running fifty options through those three questions tends to leave three to five that are worth serious consideration – and that’s where human judgement takes over.
What Artsiom Liashanau is not arguing, and is careful to clarify, is that AI replaces entrepreneurial thinking. The tools hallucinate facts, lack genuine contextual awareness, and require consistent quality control. The research is consistent on this point: AI performs at its best when working alongside a human, not in place of one. Ethical decisions, authentic empathy, intuition under uncertainty — these remain firmly human territory.
The conclusion he arrives at is perhaps the most demanding part of the argument. When powerful technology is equally accessible to every founder in the market, the competitive advantage can no longer come from execution capacity alone. It shifts to whoever thinks more clearly, decides more quickly, reads context more accurately, and filters signal from noise more effectively.
