Scaling AI without losing control
Scaling AI without losing control
Eight AI drivers and dilemmas shaping the next phase of energy transformation.
The AI
balancing act
A rtificial intelligence is having a defining moment in business. It promises a productivity boom. It signals competitive advantage. It reshapes how decisions are made. And yet, for many leaders – particularly in energy, where capital cycles are long and scrutiny is relentless – AI also presents a growing hangover of ethical, operational, and reputational risk. AI is both a driver of competitive advantage and a source of strategic dilemma. Here are the eight drivers reshaping the sector, and the dilemmas leaders must navigate alongside them. 1 Value creation at scale AI promises measurable productivity gains: shorter project cycles, automated reporting, predictive insights, reduced operational downtime. In energy, where margins are tight and capital allocation is scrutinized, even small efficiency improvements compound quickly. Yet many organizations have run a flurry of pilots without translating experimentation into enterprise value. The leadership imperative is focus. Pause broad experimentation. Identify high- impact use cases. Redesign workflows around them with domain experts embedded. Measure success in operational metrics, such as cycle time, cost-to- serve, reliability improvements. AI is a performance accelerator but only when anchored to business outcomes.
Wayne Roberts COO, Brandpie
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Brandpie Energy - Issue 05
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