Navigating the opportunities and risks of GenAI
The most concrete use cases and ROI calculations are at a role-based level.
Specific outcomes can be identified, including productivity gains and impact on employee experience.
82% of respondents on average say digital workplace services including GenAI should be personalised around specific roles and needs.
Despite generally positive attitudes, there is some frustration among senior leaders about how long the roll-out is taking.
3/4 of the C-suite agree that GenAI implementation is taking longer than initially planned so they are fully compliant with upcoming AI regulations.
The concern is that slow adoption may put them at risk of falling behind competitors.
See cited advantages of using GenAI >
Improved decision-making and actionable insight from data
Supporting innovation and creativity
Enhancing customer service
Delivering business value/ROI
Increasing employee productivity
Reducing admin burden
Enhancing employee experience
Increasing employee well-being
The rapid integration of GenAI introduces new vulnerabilities such as data breaches and cyberattacks. Gartner predicts that by 2026, 50% of governments will enforce Responsible AI regulations, emphasising the need for enhanced security controls.
The rise of GenAI-driven applications necessitates adherence to privacy and data protection laws to avoid legal repercussions.
There is a risk of AI being used for illegal activities, such as fraud or identity theft.
Ethical concerns include reinforcing biases and delivering inaccurate outcomes, which can damage brand reputation.
Delaying GenAI adoption can result in falling behind competitors. Gartner notes that AI will become a core element of productivity applications by 2028, necessitating responsible and balanced GenAI adoption.
Overreliance on GenAI can lead to a loss of organisational intelligence. Organisations need to be cautions against becoming too dependent on AI, as it may reduce human oversight and lead to suboptimal decision-making.
of organisations report that GenAI business adoption is taking longer than expected due to data privacy & security compliance.
of organisations recognise the challenge of safeguarding sensitive corporate data while adhering to AI regulatory frameworks, emphasising the importance of data privacy and security in their GenAI strategies.
Proactive Cybersecurity & Privacy Protections: With 61% of respondents concerned about cybersecurity, businesses must prioritise comprehensive cybersecurity frameworks and data privacy measures to safeguard against data breaches and other security risks.
Address Legal & Ethical Risks: 53% of organisations highlight the need for strong legal and ethical safeguards to prevent copyright infringement and avoid biased AI outputs. A clear legal framework is essential for compliance and ethical GenAI deployment.
Build Strong Data Governance Structures: 83% of businesses have developed data transparency policies, and 82% have solid data privacy frameworks. Companies must continue building on these governance structures to manage data effectively and ensure compliance.
Data Quality & Bias Monitoring: With 79% emphasising data quality, organisations must regularly audit their GenAI models to ensure the data used is free from biases and inaccuracies, thus safeguarding against poor or discriminatory AI decisions.
Engage Stakeholders in Data Accountability: Ensuring visibility into data handling processes is crucial. With 81% of companies monitoring AI regulations, maintaining transparent policies around data access and usage rights is critical to fostering stakeholder trust and ensuring compliance.
GenAI has transformed my ability to generate content quickly and accurately, improving my effectiveness in various areas, including customer support, content creation, and idea generation. However, I remain aware of the ethical limits and the importance of maintaining transparency and accountability in its use.
Currently I mainly use Copilot and ChatGPT. You have to learn how to promote it to get good results. It’s still early days, but the potential for the future is there.
