With the launch of the iPhone 16e, Apple has decisively retired the Lightning connector across its product line. IT leaders should start phasing out Lightning accessories and standardize on USB-C across all supported Apple endpoints. It's not revolutionary–it's rational.
Microsoft unveiled the Majorana 1 quantum chip, based on exotic topological qubits, that may signal a genuine leap in error-resistant, scalable quantum hardware. CIOs should monitor this development, include quantum-readiness in their long-term strategic plan, and consider potential hybrid quantum-classical architectures; but choose pragmatism over panic and avoid budget-busting hardware acquisitions.
Despite pronouncements by CEOs in the generative AI space, generative AI will not replace software developers—just as drum machines and music sequencers never replaced musicians. AI will automate repetitive coding tasks, but the creative, strategic, and problem-solving aspects of software development remain firmly in human hands. IT leaders should focus on AI-augmented development, upskilling teams to leverage AI as a productivity enhancer rather than fearing it as a replacement.
AI safety is no longer a theoretical concern—it is a critical business and governance imperative. Rapid advancements in general-purpose AI, including autonomous agents and increasingly capable models, introduce risks ranging from cyber threats to systemic labor market disruptions. CIOs and IT executives must proactively implement AI risk management frameworks to safeguard their enterprises.
AI adoption without a measurable impact on workforce productivity and well-being is a blind investment. CIOs and IT leaders must have clear metrics and ROI evidence before scaling their AI initiatives any further.
Deepfake technology presents an increasing threat, with nearly half of businesses experiencing audio and video deepfake fraud. These sophisticated scams can lead to significant financial losses. CIOs and IT decision-makers must act now to prioritise the integration of advanced identity verification (IDV) solutions and voice security protocols to detect and prevent deepfake fraud and protect their organisations from financial and reputational damage.
