emerging

AI Value Realization

AI adoption requires business process changes to generate significant value, with early adopters seeing potential EBITDA increases up to 20%.

Detailed Analysis

The technology sector is rapidly adopting AI, but realizing its full value requires more than just deployment. As the report states, "AI, more than other technology disruptions, generates little value from deployment alone." This is because AI necessitates changes to existing workflows and processes, impacting a large number of employees. Companies must therefore invest in "business diagnostics, redesign processes, set targets, and manage change" to fully leverage AI's potential. However, early results are promising, with some generative AI initiatives showing potential to boost EBITDA by up to 20%. This suggests that while the transformation is complex, the potential rewards are substantial.

Context Signals

Increased spending on AI by cloud providers, enterprises, and vendors. High AI adoption rates. Skepticism regarding AI's ROI due to the need for process changes.

Edge

Companies that successfully integrate AI into their processes will gain a significant competitive advantage. The need for process change creates opportunities for consulting and change management services. AI-driven process optimization could lead to new business models and revenue streams.
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But early proof points from our client work are encouraging, showing that generative AI initiatives could be worth up to 20% of EBITDA.