A critical error in AI integration is automating existing, often clunky, processes. Instead, companies should use AI as an opportunity to fundamentally rethink and redesign workflows from the ground up to achieve the desired outcome in a more efficient and customer-centric way.

Most companies use AI for optimization—making existing processes faster and cheaper. The greater opportunity is innovation: using AI to create entirely new forms of value. This "10x thinking" is critical for growth, especially as pure efficiency gains will ultimately lead to a reduced need for human workers.

Companies can either augment existing processes with AI for incremental efficiency (e.g., co-pilots) or completely redesign workflows. While augmentation is common, the most transformative value and disruptive business models will emerge from a clean-sheet redesign of how work is done.

The greatest wins from generative AI will come from questioning and eliminating old processes, not just making them faster. Leaders should challenge teams to use AI to "do different things" entirely, like questioning the need for a report in the first place, rather than just using AI to write it faster.

The most common failure in AI implementation is treating it as a technology project to automate existing workflows. True success requires a transformational mindset, using AI as a catalyst to completely redesign how work gets done and how human and AI agents collaborate.

The biggest mistake in AI adoption is simply automating an existing manual workflow, which creates an efficient but still flawed process. True transformation occurs when AI enables a completely new, non-human way of achieving an outcome, changing the process itself rather than just the actor performing it.

The historical adoption of electricity in factories shows that true productivity gains came from redesigning the factory floor, not simply replacing steam engines. Similarly, companies must fundamentally re-engineer processes around AI to unlock its transformative potential.

True productivity gains from AI will mirror the adoption of electricity. Early factories that just replaced steam engines with electric motors saw little benefit. The revolution happened when they completely redesigned the factory floor around the new technology. Similarly, companies must reimagine entire workflows around human-AI collaboration.

Just as electricity's impact was muted until factory floors were redesigned, AI's productivity gains will be modest if we only use it to replace old tools (e.g., as a better Google). Significant economic impact will only occur when companies fundamentally restructure their operations and workflows to leverage AI's unique capabilities.