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April 23, 2026: The Productivity Numbers Are Real — So Is the Pilot Trap

  • Writer: James Sale
    James Sale
  • Apr 23
  • 2 min read

Updated: May 6

Two major research firms dropped data on the same day this week, and the picture they paint together is more useful than

either report alone.                                                                                                    

                                                                                                                        

Two-thirds of enterprises are seeing real productivity gains from AI                                                                                                                                                           

Deloitte's 2026 State of AI in the Enterprise survey — 2,000-plus executives — found that worker access to AI tools jumped roughly 50% year-over-year. Sixty-six percent of organizations now report measurable productivity improvements.

The standout example: financial-services teams using agentic AI to auto-capture meeting notes, draft follow-ups, and track action items cut admin time by up to 40%, freeing people for strategy and client work.                            

                                                                                                                        

That's not hype. That's a documented, measurable result in a sector historically conservative about tooling changes. When financial services moves at that speed, it usually signals something genuinely working — not just adopted for      

adoption's sake.                                                                                                        

                                                                                                                        

Thirty-seven percent are stuck in pilot purgatory                                                                                                                                                                                    

The same report found more than a third of AI initiatives remain trapped in pilot mode with no real process change behind them. The pattern: a team runs a proof of concept, declares victory on the demo, and then never integrates the   

tool into how work actually gets done. Six months later it's gathering dust and someone is asking why AI hasn't delivered ROI.                                                                                                                                                                        

The gap between the 66% seeing gains and the 37% stuck isn't a technology problem — it's a process and accountability problem. Pilots without defined success metrics and a named person responsible for making the change stick will stay pilots. The fix isn't more technology.                                                                                                                                                                                            

Gartner sees $6.31 trillion in IT spending this year — AI infrastructure is the engine                                  

                                                                                                                        

On April 22, Gartner forecast worldwide IT spending reaching $6.31 trillion in 2026, a 13.5% increase, with AI infrastructure and agentic software as the two biggest growth drivers. The platforms your agents will run on are getting

built at scale.                                                                                                         

                                                                                                                        

For leaders evaluating new tools: the infrastructure buildout is accelerating faster than most enterprise adoption cycles. Teams that get their agent governance and measurement frameworks in place now — before the next wave of vendor pitches lands — will evaluate and deploy faster. Teams that don't will be playing catch-up while the window for differentiation narrows.                                                                                                                          

What the data actually tells you                                                                                                                                                                                                        

The productivity gains are real and the investment is real. What's also real is that neither number shows up in your P&L automatically. The 66% seeing gains almost certainly have one thing in common: someone made a deliberate decision about which workflow to change, defined what success looked like, assigned ownership, and measured it.                        

                                                                                                                        

The 37% in pilot purgatory are waiting for the tool to do that work. It won't.             

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