Artificial intelligence adoption is accelerating but so are the risks
Artificial intelligence adoption is accelerating but so are the risks
Publish Date: 2026-06-22 15:49:00
Source Domain: www.digitaljournal.com
As artificial intelligence (AI) tools become embedded across the workplace, businesses are increasingly grappling with an uncomfortable paradox: while AI promises efficiency, productivity and innovation, it is also introducing new and often poorly understood risks.
Recent high-profile issues involving companies such as Air Canada and McDonald’s, where AI-driven customer systems produced incorrect or misleading outputs, have highlighted how even well-resourced organisations can struggle to manage these technologies effectively. At the same time, internal use of AI is rising rapidly. It is estimated that more than 60% of employees capable of working remotely now integrate AI tools into their day-to-day processes.
This combination of rapid adoption and immature governance is creating a new category of organisational risk. Analysis undertaken by TRG Datacenters, drawing upon academic research, industry reports and documented legal cases, identifies six major areas where AI is currently generating the greatest operational and compliance vulnerabilities.
What emerges is less a story of technological failure and more a reflection of organisational readiness. Simply put, many companies are deploying AI faster than they are building the governance frameworks required to control it.
Shadow AI: An invisible threat inside the organisation
One of the most pressing issues is the emergence of so‑called “shadow AI”, which represents the unofficial use of AI tools by employees outside formal IT oversight. The problem is scale. Estimates suggest that around two-thirds of organisations do not fully understand what data employees are sharing with AI platforms. In practice, this often involves staff copying sensitive material, an assortment of client data, internal strategy documents, or proprietary code into generative AI systems such as ChatGPT.
From a compliance perspective, this represents a potential breach of confidentiality agreements, data…
