THE BIG DEBATE
Data literacy
AI is only as useful as the information it can access. Businesses will therefore need employees who understand how data is collected, organised, interpreted and protected.
Staff should be able to recognise poor-quality or incomplete data and understand how it can distort an AIgenerated answer. They must also know which information can safely be entered into a system and which customer details, commercially sensitive material or intellectual property must remain protected.
For managers, data literacy will include making informed decisions about access permissions, storage and which systems are allowed to connect to company information.
Critical thinking and verification
AI can produce confident and convincing answers that are wrong. The ability to question and verify its output will consequently become more important, not less.
Employees will need to check facts, examine sources, identify gaps and recognise when an answer lacks the context required for a sound decision. They must be willing to reject an efficient-looking response when the evidence does not support it.
This is particularly important in regulated sectors and whenever an AI-assisted decision could affect someone’ s finances, employment, health or safety.
Cybersecurity and responsible use
AI creates new opportunities for businesses, but it can also introduce new vulnerabilities.
Staff must understand the risks of sharing sensitive information with public tools, connecting systems to company data and using unapproved applications.
At the same time, AI is making fraudulent emails, impersonation and other cyberattacks more convincing. Employees will need stronger awareness of social engineering and a healthy scepticism towards unexpected instructions, even when they appear to come from somebody they know.
Every business should have clear rules covering approved tools, data use, human oversight and accountability.
The human skills that become more valuable
As technology takes on more routine work, distinctively human capabilities are likely to become increasingly important.
Judgement, empathy, creativity, curiosity and communication cannot simply be added at the end of an automated process. They are what allow people to understand customers, handle sensitive situations, challenge assumptions and decide what should happen next.
Leadership will matter too. Managers must be able to involve employees in decisions about AI, respond honestly to concerns and redesign roles so that technology supports people rather than simply removing tasks.
Continuous training and upskilling
A single AI training session will not be enough. The technology, the tools and the ways businesses use them are changing too quickly.
Training should be continuous, practical and connected to real roles. Employees need opportunities to experiment safely, share effective approaches and learn from mistakes. Different teams will require different capabilities: what matters to a finance professional may be very different from what matters to a production manager or marketing executive.
Businesses should also avoid concentrating knowledge in one enthusiastic employee. Useful workflows need to be recorded and shared so that capability belongs to the organisation rather than an individual.
What employers can do now
1. Establish how employees are already using AI, including unofficial tools.
2. Introduce clear rules covering approved systems, sensitive information and human oversight.
3. Identify the AI skills required within each role rather than offering only generic training.
4. Give employees time to test AI on genuine workplace challenges.
5. Teach verification and critical thinking alongside prompting.
6. Record successful workflows and share them across teams.
7. Review training regularly as the technology and the needs of the business change.
ISSUE 7 31