Enterprise leaders must progress past generative applications and scale “autonomous intelligence” to capture real P&L margin growth. Generating text or summarising internal communications offers localised productivity improvements, yet these abilities rarely alter the core cost structure of a large organisation. Enterprises are now focused on deploying systems capable of independent execution. Leaders are demanding applications […]
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The Big Four accounting and consulting firms — Deloitte, EY, KPMG, and PwC — advertised more AI-related job postings than traditional auditing positions in 2025, according to a new analysis by the Financial Times.
Nearly 7% of the firms’ job postings required AI expertise, compared to less than 2% in 2022 when OpenAI’s ChatGPT was launched. At the same time, auditing roles accounted for just under 3% of the postings last year. One of the firms also noted that a single job posting could, in some cases, apply to multiple positions.
According to the Times, the hiring trend shows how quickly AI is transforming the consulting and auditing industries. At the same time, the industry is trying to adapt to the fact that AI could undercut the need for certain junior positions.
Traditionally, consulting firms have been built on a “pyramid model” where many younger employees work under a smaller number of senior managers and partners. AI is now expected to automate parts of that workplace arrange
Deloitte has acquired Web3 infrastructure company Blocknative in a talent-focused deal that will see the startup wind down its APIs and gas oracle network next month, even as the Big Four firm deepens its push into crypto consulting. According to The…
As agencies adopt AI more rapidly, they are also under pressure to ensure these systems are transparent, explainable and secure, Red Hat chief architect says.
Jensen Huang called it "the ChatGPT moment for robotics." Deloitte says 80% of businesses plan to use physical AI within two years. Here is what you actually need to know, and do, to prepare…
If this past school year was about adults figuring out how to adapt systems and approaches to AI, the next school year should be about students actually experiencing something better because of the work the adults did.
SAN FRANCISCO, April 28, 2026 — Monte Carlo today released Agents in Production: The Builder’s Perspective, a 2026 report surveying 260 enterprise leaders and engineers. The report reveals a growing operational […]
The post Monte Carlo Report Finds 64% of Enterprises Deployed AI Agents Before They Were Ready appeared first on AIwire.
One of the more dangerous assumptions in the current AI market is that broad adoption means meaningful adoption. It does not. Much of what enterprises call AI transformation is, in fact, AI experimentation focused at the edge of the business, in systems and workflows that support employees but are not central to how the enterprise actually operates. These include calendaring, scheduling, meeting summaries, employee communications, customer messaging, document generation, internal assistants, and similar productivity-oriented use cases.
Those applications may be useful, but they are not core applications that directly run the business and determine whether the company performs well or poorly. Inventory management, sales order entry, logistics execution, supply chain planning, procurement, warehouse management, manufacturing operations, and financial transaction processing belong in this category. If these systems fail, the business feels it immediately through delayed orders, lost reven
