Hiring a Chief AI Officer is not a strategy.
It is often a way to delay an essential decision.
Many companies are currently AI washing their org charts to signal progress to the board.
They create new roles to look modern without actually changing their strategy.
This results in a new hire who is essentially an expensive person sitting in your office waiting to ask the one question you should have already answered: "Where do we point this?"
Finding the use case is a business decision rather than a technical problem.
You cannot hire someone to find value in a vacuum.
If the leadership has not identified which business constraints to solve or which margins to protect, the new hire will simply spend their time exploring tools rather than driving results.
You end up paying for a very expensive person to perform the work that you, as the leader, are responsible for.
This creates a cycle of expensive experimentation.
The specialist spends months testing software and the engineering team builds a prototype but then the whole thing is shelved because it does not actually address a core business driver.
Some will say you need a specialist to manage the technical complexity and vet the various software tools.
While technical expertise is vital, it is useless without a strategic destination.
A specialist can tell you how a tool works, but they cannot tell you if it is the right lever for your specific business model.
1. Identify your core business constraints before you open the job description.
2. Hire for execution rather than for exploration.
3. Ensure the role has clear business KPIs rather than technical milestones.
Are you hiring for a solution, or are you hiring to hide a lack of direction?
#AIStrategy #CAIO #Boardroom #ExecutiveLeadership