Why not use AI?


Large language models (LLMs) are now being used by C-suite executives, political leaders, and major consulting firms to generate business solutions of every kind. The question is: why?
AI is cheap. It appears private. It is instantaneous. It sounds polished, confident, and credible.
That’s what makes it dangerous.
AI does not think or reason. It is not aware. Rather, it is a predictive language system that produces responses based on the probability of what word is likely to follow the word before it.
Are you willing to put your career, reputation, or position at risk based on an algorithm that plays the odds?
AI does have an unexpected role.
Its real value is in helping you understand what your organizational adversary may be thinking, doing, or planning.
That adversary may be a colleague, superior, board faction, competitor, regulator, customer group, or operational crisis.
There is a high probability that your adversary — directly or indirectly — is being influenced by AI-generated ‘advice'.
That matters.
A recent study in the Harvard Business Review found that AI responses are biased. They appear customized, but in fact are highly generic and most shockingly substantially the same irrespective of the user’s prompt. In other words, AI models tend to provide exactly the same advice over and over, and use generic consultant-speak language.
That makes AI useful, not because it knows what you should do, but because it can reveal the advice, strategy and tactics your adversary may be relying on.
This makes AI a powerful business intelligence tool.
The skill is using AI to model the likely thinking of your adversary— and then developing a counter-approach that is sharper, more effective, and difficult for your adversary to anticipate and counter.
This is where the Critical Advice Line comes in.
We pressure-test customized solutions grounded in subject matter expertise, direct real world experience and business management sophistication.
Don’t outsource your career’s future to AI.
AI can offer quick input, but the article warns that it may also expose patterns in sensitive thinking, create false confidence, and weaken reliance on human judgment. Its core point is that AI may be useful as a rough prompt, but not as a trusted source of advice.
CEO used ChatGPT in failed bid to avoid paying US$250m bonusKrafton’s CEO used ChatGPT to help devise a plan to remove Unknown Worlds’ leadership after internal projections suggested the studio was on track to earn a US$250 million payout tied to Subnautica 2’s milestones.
Researchers Asked LLMs for Strategic AdviceThey got ‘Trendslop’ in return. Leaders might assume that Large Language Models (LLM) are able to offer a kind of unbiased, outside perspective. But new research found that leading LLMs have clear biases when it comes to strategy and consistently recommend the same strategies that alight with modern managerial buzzwords.
Deloitte to pay money back to Albanese government after using AIDeloitte will provide a partial refund to the federal government over a $440,000 report that contained several errors, after admitting it used generative artificial intelligence to help produce it.
Deloitte's AI Scandal in CanadaConcerns over AI use in public-sector consulting have increased after Canada’s Newfoundland and Labrador uncovered unverifiable citations in a $1.6 million Deloitte health workforce report. The revelation mirrors a recent Deloitte scandal in Australia, raising questions about the growing risks of AI-generated material influencing major government decisions