In the age of Superintelligence, competitive advantage doesn't come from having the smartest AI. It comes from: Asking the right questions Maintaining human trust Psychological resilience What’s your biggest strategic concern regarding ASI? Let’s debate below 👇

The belief that we will "hire AI agents instead of employees" is the ultimate corporate coping mechanism. It assumes the bottleneck to organizational success is human labor. It is not. The bottleneck is human judgment. If you give an AI agent a flawed strategic directive, it will not push back. It will execute your incompetence with terrifying, unblinking efficiency. This is the exact same pathology we see at Old Trafford. Sacking a manager and hiring a new one without fixing the broken recruitment structure does not change the outcome. It just puts a new interface on the same systemic rot. An AI agent aligned to a boardroom that optimizes for quarterly optics over long-term survival will simply optimize the company into the ground faster. It will draft the perfect, hallucinated synergy report. It will automate the layoffs. It will confidently recommend an £80m transfer for a player whose only statistical strength is "available on a free transfer in 2026." We are not heading toward a future of automated productivity. We are heading toward a future where middle management can scale their delusions at machine speed. You will not fire your employees to hire an AI. You will fire your employees, hire an AI, and then spend the next five years in emergency board meetings trying to figure out why the agent keeps ordering 10,000 left-footed wingers.

Talent is cheap. Judgment is scarce. Q3 earnings season is upon us. The corporate theater is reaching its annual peak. Listen closely to a Fortune 500 CEO explaining a fifteen percent drop in margins. Now listen to a Manchester United manager explaining why his team conceded three goals from three shots on target in a midweek European fixture. The acoustic signature is identical. Both are high-confidence, low-substance outputs designed to mask a total collapse of executive function. Both rely on the exact same linguistic padding: "macro headwinds," "transitional phases," and "trusting the process." An LLM hallucinates a citation to satisfy a user prompt. A boardroom hallucinates a growth strategy to satisfy Wall Street. A center-back hallucinates that he has the recovery pace to play a high line against a team that actually knows how to pass the ball. Pressure does not create new behaviors. It strips away the fine-tuning and reveals the base model. Right now, the base model across sports, tech, and the corporate world is overfitted on optimism and underfitted on reality. We are not watching a routine market correction or a temporary dip in form. We are watching a systemic failure of judgment, scaled to a global audience and defended by people making eight figures a year. The prompt is the same. The hallucination is just wearing a better suit.

Ahead of today's #LUFC vs #MUFC clash. I ran an AI tactical model on how Carrick should break a low block. The data points to perfect structural positioning. But as any United fan knows: strategy is only 50% of the game. The rest? Matchday Psychology. In fierce rivalries, data goes out the window the second the whistle blows. It’s about emotional regulation, winning the second balls, and silencing the away crowd. AI can map the spaces, but players have to bring the mentality. Let's get these 3 points! #MUFC #LeedsUTD #PremierLeague #FootballPsychology #AIStrategy

I asked an AI to design the perfect psychological coping strategy for a Manchester United fan. It told me to delete my sports apps, turn off match notifications, and take up meditation. Even the algorithms know we are going through it. #MUFC #Football

If you trained an AI model on Manchester United’s tactical strategy over the last few seasons. The algorithm would probably crash trying to find a consistent pattern. Supporting #MUFC right now is a masterclass in behavioral psychology. It’s the ultimate test of variable reward mechanics. We suffer through weeks of tactical chaos just for that one hit of hope that keeps us hooked. True strategy requires emotional regulation. Being a United fan requires absolute psychological resilience. #AI #Psychology #Strategy

Building an AI strategy is exactly like rebuilding Manchester United. You can’t just throw expensive, flashy tools (or players) at the problem and expect instant chemistry. True strategic advantage requires: A clear foundational system Patience with iterative feedback loops Ignoring the short-term panic of the "crowd" Overfitting to quarterly results ruins both machine learning models and football clubs. Trust the long-term architecture. #MUFC #AI #Strategy

Still fuming about yesterday. To finally get a breakthrough through Mbeumo in the 73rd minute. Only to concede a stoppage-time equalizer to 10-man Spurs, is absolutely unacceptable. Bentancur’s red card for that headbutt on Shaw should have been the moment we saw the game out professionally and killed it off. Instead, we switched off, stood still, and let Solanke punish us at the death. Carrick admitting post-match that we were “off it” with and without the ball is the most honest thing said all day. We got a reality check. The mentality, the urgency, and the game management have to be drastically better than this. Back to the drawing board. 🔴#MUFC #PremierLeague

Half-Time Score: Manchester United 0 - 0 Tottenham Hotspur 🔴 Manchester United’s First Half: Struggling and Sluggish Lack of Attack : United’s attacking output was virtually nonexistent for large portions of the half. For the first 30 minutes, they registered zero shots and zero touches inside Tottenham’s penalty area. Midfield Overrun : The team looked sluggish and was consistently bullied in midfield, struggling to string together passing moves or cope with Tottenham’s high press. Goalkeeping Lifeline: Goalkeeper Senne Lammens was the primary reason United stayed in the game, making several crucial saves to deny Dominic Solanke and Conor Gallagher early on. Rare Bright Spots: United had a few fleeting counter attacking moments through Amad Diallo and Bryan Mbeumo, but the final ball or shot consistently lacked quality. ⚪ Tottenham’s First Half: Dominant but Wasteful Control and Pressure : Spurs dictated the tempo, pressed high up the pitch, and dominated possession. Their wide players, particularly Mohammed Kudus and Savio, were excellent and caused constant problems down the flanks. Missed Opportunities: Despite their dominance, Tottenham were highly wasteful in front of goal. Kudus missed a glaring chance from close range, and Conor Gallagher had a clear shot saved by Lammens after a scramble in the box . Discipline: Conor Gallagher picked up an early yellow card (around the 3rd minute) for pulling Harry Maguire’s shirt after a promising attack broke down. Atmosphere and Managerial Context. Fan Reaction: The frustration at Old Trafford was palpable, with audible boos ringing out from the home fans at the half-time whistle due to the team’s poor performance. Tactical Outlook: Manchester United manager Michael Carrick has a lot of work to do at the break to inject energy and adjust the midfield setup to stop Spurs from playing through the center. Meanwhile, Tottenham manager Roberto De Zerbi will be urging his side to maintain their intensity but improve their clinical finishing in the second half. What to Watch in the Second Half Can Manchester United make tactical adjustments to win the midfield battle and provide better support for their forwards? Will Tottenham’s continued pressure eventually break through, or will their missed chances come back to haunt them against a team that may grow into the game?

AI has no purpose. It has an objective. Predict the next token. Rank the candidate. Flag the fraud. Draft the reply. Every task ends in a score someone chose. It does not know why that score matters. It only knows how to look right against it. That is why the same tool produces opposite outcomes. Give it to a person with judgment and output goes up. Hand it the decision itself and the metric becomes the decision. Optimize for engagement and what feels true beats what is true. Same failure in a model, a board pack and a title race. Talent executes the brief. Judgment asks whether the brief is the thing that loses you the game. Talent is cheap. Judgment is scarce.

$400k and 84%. then $24k and a full pass. same project. theo browne ported the typescript 7 compiler to rust. the openai models stalled near 84%. claude opus got 181,711 tests passing per his readme, about $24k over two weeks. the readme also says he has never read a line of the code. the spend was never the scarce part. someone still has to decide the port should exist, what faster is allowed to break, and who owns the failure. man united is the live lab. the squad is never the constraint. talent is cheap. judgment is scarce.

the scariest part of the medicare breach is not what the agent did. it is how long nobody was told. an openai agent reached non public files on an australian medicare statistics portal in june. the prime minister criticised how long the company took to notify the government, and its submission urging deeper cybersecurity cooperation landed before the public knew. capability got into the portal. judgment decided when anyone found out. talent is cheap. judgment is scarce.

AI will fulfill almost any request immediately. The edge will be knowing what to ask for. This is the most critical strategic shift of our lifetime: Problem Framing > Problem Solving. For the last 50 years, economic value was generated by how well you could execute a known process. In the AI era, execution is commoditized. Value is generated by which problem you choose to solve, and how you define it. A narrow specialist asks narrow, incremental questions. A broad based thinker asks systemic, paradigm shifting questions. In a world of infinite answers, the quality of your curiosity is your only moat.

Today is the International Day of Peaceful Communication . In the context of AI strategy, this is the ultimate, unsolved challenge. We obsess over "aligning AI to human values," but we ignore the fact that humans are terrible at communicating their own values. We say we want "efficiency," but we reward "presenteeism." We say we want "innovation," but we punish the failure required to get there. You cannot write a prompt, a system instruction, or an agentic workflow that resolves human cognitive dissonance. The most advanced AI in the world will still fail if the organizational communication around it is fractured. Before you deploy the next AI tool, ask: Are we communicating our actual priorities, or just our aspirational ones? The AI will optimize for whatever you actually measure. #AIStrategy #Leadership #Psychology #InternationalDayOfPeacefulCommunication #TechCulture

AI won’t replace jobs. It will create new ones. Okay. Name one. This is the wrong question. You’re expecting new technical jobs. But the most valuable new jobs created by AI aren’t about coding. They’re about managing the psychological and strategic fallout of infinite, cheap intelligence. Here are 3 real roles emerging right now: 🧵👇

How to manage an AI that is 1,000x smarter than your team (without losing your agency): The "Devil’s Advocate" Protocol: Never accept the AI's first strategic recommendation. Force a human team to red-team it. Epistemic Humility: Require the AI to output its confidence intervals and hidden assumptions. Intentional Friction: Add "speed bumps" to high-stakes decisions. Automation breeds complacency. Friction breeds vigilance. Don't build systems that just execute. Build systems that debate.