In the spring of 2026, the conversation around AI adoption was hitting a fever pitch. The metrics were staggering; Jeff Sundheim pointed to 1.3 quadrillion tokens as "the best measure of the adoption of AI," reflecting exponential growth.
Amid this explosion, a primary theme was the briefness of the current moment. Pundits saw a rapidly closing window for unstructured experimentation. "If you look at the futurists are saying there's a very small window of wild west time before we evolve and get strategic," said Amanda Jeffs. She predicted this era would "settle down and become strategic" within 9 to 18 months. Capturing that strategic advantage was top of mind for Tom Riordan, who argued that the "ability to take AI and translate business processes into AI workflows is going to be incredibly valuable in the next 5 10 years."
The most striking predictions, however, centered on how this strategic adoption would reshape the workforce. While some foresaw straightforward efficiency gains, with Idil Cakim noting that "Employees will gain more time," others offered a more radical vision. Dr. Nici Sweaney urged businesses to start thinking of staff "as being either a robot or a human," requiring training to mitigate risk. She reported her own business was already operating with more AI than human staff. "We have about a 10 to 1 ratio," she said, calling it "the new normal."
As for who was driving this change, demographic shifts were a key indicator. According to analysis from Nate Elliott, Gen Z had already "overtook millennials towards the end of 2025" as the biggest adopters of AI.
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**What we're watching:** How many firms have followed Dr. Sweaney's lead in reframing "staff" to include AI, and which have successfully made the leap from the "wild west" to strategic, process-driven integration.