Mark Cuban Says AI Lacks Human Judgment For Business Decisions
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Models don’t know the consequences of their actions. People know what will get them fired. Models suffer from information latency. People understand what they see right in front of them. 2 skills AI won’t have for a long long long time. If ever. 2 skills that are invaluable to every business decision. How often in business do you need to “read the room” and make a decision ? Add AI productivity to the real time capacity and judgement of humans , and you will get the greatest return on both investments. The challenge is management understanding how to leverage the combination, and forgetting the original expectation that AI and white collar workers are mutually exclusive. They are not Done right , the combo is a business propellant and competitive advantage.
Very good post from the Head of Economics at Anthropic. They’re finding that jobs have been less negatively impacted by AI than expected, as we continue to see time and time again in the data. The reason for this is that AI - at least so far - still requires people to operate to produce value in most cases. Most jobs can’t be fully automated with AI, only certain tasks in those jobs. And when you automate specific tasks, you actually can get even more output from those jobs, raising the demand (or at least maintaining it) in many cases. “So far, AI is both skill-biased and labor-augmenting. It complements domain expertise. It relies on humans in the loop to direct and evaluate the most complex work. And it rewards AI proficiency. Model capabilities are improving fast, but remain stubbornly jagged. To fill in the pockets of the jagged frontier, expert oversight is needed to steer incredibly capable AI systems, and to recover when they falter.” I suspect that we continue to see this in a number of critical areas of work. It’s clearly happening in software engineering, where software produced is being multiplied, all of which still requires developers to manage the work agents are doing. Software engineers are needed in a wide variety of industries now and companies of all sizes can now light up software projects that would have been impractical before. But there will be plenty of other domains of work where demand remains strong in a world where agents can accelerate the output of that job. Jevons paradox is alive and well.
A human scanning a room of humans makes that picture outdated before the human finishes a breath. The human can see, hear, feel, all of our senses are available. We are not talking detail. We are talking scope and context. AI might be able to gauge the color in a person’s face and see they are blushing. It won’t ever know the voice of the person talking outside the meeting room is their crush. Causing the blush. They it has nothing to do with the billion dollar deal being negotiated. You get the point. I’ll ask it another way. You are at a 4 way intersection. Blindfolded. Do you trust an LLM pointed at the intersection, to get you safely across the street, or a seeing eye dog ?
Respectfully disagree with Marc here, but I hope he’s right. IMHO AI will be better at reading the room than humans - in fact AI can pay more attention to the room than we can because it can break down every single persons micro expressions every second with 100% focus - this just isn’t a priority right now but will be in 2 to 3 years.