AI THEATRE: The Market Has Lost All Patience!

AI is still attracting investment.

But it is no longer getting the benefit of the doubt.

AI enthusiasm has not gone away.

What has changed is the tolerance for vague value stories.

KPMG’s latest financial services view captures the gap neatly: only 26% of FS technology leaders say they are deploying AI use cases into production at scale today, yet 65% expect to be there within 12 months.

KPMG’s broader Q1 2026 AI pulse makes a similar point from another angle: 95% of organisations say they have an AI strategy, but only 8% report established returns from enterprise-wide AI deployment.

That says the real constraint is not interest.

It is execution maturity.

The blocker is usually the machinery around the model: weak data quality, unclear ownership, governance that either paralyses or over-promises, and operating models that were never designed to absorb AI into day-to-day work.

This is why the best Tungsten angle is not generic AI positioning.

It is much sharper than that.

AI + Document Intelligence + Workflow + Controls is a more credible proposition in regulated environments than just AI on its own.

The firms getting somewhere aren’t the ones with the loudest pilot programme. They are the ones making AI operationally usable.

Which client conversations are still framed around AI ambition, when the real issue is execution maturity?

Foire aux questions

Why are organizations struggling to achieve ROI from enterprise AI?

Many organizations have established AI strategies, but relatively few have successfully deployed AI at enterprise scale. Challenges such as poor data quality, unclear governance, fragmented workflows, and weak operational processes often prevent AI initiatives from delivering measurable business value.

What is AI theatre?

AI theatre refers to organizations promoting ambitious AI initiatives without successfully embedding AI into everyday business operations or generating measurable outcomes.

Why is execution maturity more important than AI ambition?

Organizations typically realize greater value when they focus on operationalizing AI through governance, high-quality data, workflow integration, and business controls rather than pursuing isolated AI pilots.

How do document intelligence and workflow automation improve enterprise AI?

Combining AI with document intelligence, workflow automation, and governance controls helps organizations integrate AI into real business processes, improving accuracy, compliance, and operational efficiency.

Glossary