Referring to recent posts and the ponderously slow adoption of operational deployment of AI targetted at efficiency, effectiveness and productivity. This was highlighted in the recent MIT paper entitled The GenAI Divide and covered here on this blog.

The central theme is how companies are going to great lengths to encourage employees to use AI as illustrated by Deloitte deploying Anthropic to 470K employees.

These are admirable efforts to educate employees and I have no doubt there will be benefits in terms of new ideas to operationalise AI at the company level. Hoever the pace of change is not encouraging based on the MIT paper, and even Proofs of Concept are not getting off the ground.

Here is another live example displaying the international breadth of the problem, from BNY Mellon quoted in a Japanese article which is a realtime vindication of the point. We are seeing corporate confusion and inability to appreciate the pace of change and the nature of change. In fact there is evidence that governments are ahead of corporations, witness the UK NHS (National Health System), or the military examples in many countries (US, UK, Russia, Israel) whereby AI deployments are re-inventing operations through deep understanding of communication, drones, human prioritisation of actions from myriads of disparate sources and data points that no group of humans could ever aggregate, understand and achieve.

Banks my particular focus, particularly are terribly manual in their human heavy operations are crying out for AI to bring order and efficiency to lending adjudication, customer service at points of failure and a host of other examples I could illustrate. In general decision-making needs this kind of support and the Banks who do will see productivity achieve positive levels that are heretofore unheard of. Being overwhelmed is no excuse.

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Source: The article you’re referring to is from Kabutan (株探), published around October 16–17, 2025. The exact title is 「AIの進歩が導入ペースを上回る」 (The Progress of AI Outpaces Implementation Speed).[1][2]

The Pace of AI Advancement Outpaces Adoption

The greatest barrier to corporate adoption of AI is not technical capability, but rather delays in employee implementation, according to BNY Mellon CEO Robin Vince during a media conference call.

“The pace of technological advancement is so rapid that implementation itself may become a bottleneck,” Vince stated. He added that the bank is focusing on comprehensive training and knowledge-sharing initiatives to support employee uptake of AI.

BNY Mellon CFO Dermot McDonogh commented further:

“I believe the pace of innovation across the industry is exceeding the pace of adoption. At some point, we will need to catch up on this front.”

ORIGINAL JAPANESE VERSION

ＡＩの進歩が導入ペースを上回る

　企業のＡＩ導入を阻む最大の障害は技術的能力ではなく、従業員による導入の遅れだと、バンク・オブ・ニューヨーク・メロン（ＢＮＹメロン）のビンンスＣＥＯがメディア向け電話会議で述べた。

　「テクノロジーの進歩があまりに急速で、導入がボトルネックになっている可能性がある」とビンス氏は述べ、同銀は従業員のＡＩ導入を支援するため、大規模な研修と知識提供に注力していると付け加えた。

　「業界全体のイノベーションのペースが導入のペースを上回っていると思う。いずれかの時点でこの点についてキャッチアップが必要になるだろう」とマクダナＣＦＯは述べた。