From Pilots to an AI Workforce in 90 Days

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Jun 4, 2026, 8:22:46 AM (10 days ago) Jun 4

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This issue is about the AI efficiency trap. Our latest blog argues the real risk is not moving too slowly, but deploying AI in ways that strip out effort while quietly weakening judgment, trust and institutional memory; the new WSAI AI Workforce Playbook shows how to flip that, with a 90‑day plan to redesign work around human–agent teams, governance and production discipline.

>> Feature insight: The efficiency trap is real

For a while, enterprise AI had a simple promise: move faster, cut costs, strip out friction. That story is not wrong, it is just too small. The bigger risk now is that leaders chase efficiency so hard they quietly weaken judgment, trust and the institutional memory their organisations actually run on.

> The AI Efficiency Trap blog pushes a sharper question: not “where can AI replace effort fastest?” but “where can it remove low‑value work while making the organisation smarter?”. If AI only saves time, that is a tool. If it also lifts decision quality and human capability, that is strategy.

> The AI Workforce Playbook is the “how” behind all of this: a way to move from scattered pilots to an AI workforce that actually ships value at scale. It gives leaders a concrete 90‑day plan to pick the right high‑friction use cases, design human–agent workflows, and get at least one governed, production-grade agent live instead of another pretty demo.

P.S. you can get a 10% off to attend WSAI this October if you download the Workforce Playbook!

>> Field intel

Three signals leaders shouldn’t ignore:

Adoption is broad, but scaled impact is still rare. McKinsey reports that 88% of organisations now use AI, 79% use generative AI, and only 7% say AI has been fully scaled across their organisations.
Workforce outcomes depend on how AI is introduced. OECD research shows roughly four in five workers say AI improves their performance, but the biggest gains appear when employers pair tools with proper training and real worker consultation.
The risk curve is rising with agents.Gartner warns that more than 40% of agentic AI projects could be cancelled by the end of 2027 because of rising costs, weak business value and poor risk controls.

>> From the stage

Marietje Schaake brings one of the clearest governance lenses in the AI debate. She is a non-resident fellow at Stanford’s Cyber Policy Center and the Institute for Human-Centered AI, a Financial Times columnist, a member of the UN High-Level Advisory Body on AI, and a former Member of the European Parliament, where she worked on technology, trade and foreign policy.

That background makes her especially relevant for a moment when organisations are grappling with not just what AI can do, but who governs it, who is accountable when systems act, and how democratic oversight keeps pace with technical power. Her perspective helps connect enterprise AI questions to the wider issues of power, control and public-interest guardrails that increasingly shape the market.

>> On the horizon

We’ve got some of the hottest AI investors speaking, attending and joining our Investors Club, including Haakon Overli, Co-Founder and General Partner at Dawn Capital, Ekaterina Almasque, Founding Partner at Blank Page Capital and George Robson, Partner at Sequoia.

Interested in joining them? >> Apply here >>

>> Ecosystem opportunities

The WSAI agenda is now live – and this is typically the tipping point where sponsorship inventory starts to move quickly. If you’re looking to boost brand and thought leadership visibility among senior AI decision-makers, buyers and investors, now’s your chance.

>> Check out the remaining options here >>

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