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Florian Edouard distinguishes giving people cloud or ChatGPT access from redesigning their work. Real transformation, he says, comes from sitting with business users and asking how an agent could take over parts of a workflow. Moving from typewriters to PowerPoint alone is just digitizing existing work.

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Instead of merely 'sprinkling' AI into existing systems for marginal gains, the transformative approach is to build an AI co-pilot that anticipates and automates a user's entire workflow. This turns the individual, not the software, into the platform, fundamentally changing their operational capacity.

Notion's CEO compares current AI adoption to swapping a water wheel for a steam engine but keeping the factory layout the same. The real gains will come from fundamentally rethinking workflows, meetings, and hierarchies to leverage AI that works 24/7, rather than just layering it onto existing processes.

Merely using AI to automate current processes is a limited view. According to AWS SVP Colleen Aubrey, the real potential lies in developing complex "agentic teammates" that work alongside humans to fundamentally transform business operations. This requires rethinking workflows, not just optimizing them, to unlock new capabilities.

The biggest gains from AI come not from automating steps in an existing process, but from starting with the desired outcome and co-creating a new workflow with AI. This "first principles" approach leverages AI's capabilities far more effectively than piecemeal automation.

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 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 greatest value of AI isn't just automating tasks within your current process. Leaders should use AI to fundamentally question the workflow itself, asking it to suggest entirely new, more efficient, and innovative ways to achieve business goals.

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.

The true power of AI is unlocked by adopting an "AI First" approach. This means completely redesigning workflows with AI at the core, rather than simply using AI to accelerate existing processes. This shifts employees' roles from performing tasks to managing the AI agents that do the work.

Simply adding AI tools to existing workflows provides limited benefits. The real transformation will only occur when companies fundamentally re-architect their business processes and team structures for an AI-centric world, much like factories had to be completely rewired to leverage electricity.