In Enterprise hits and misses this week: @jonerp digs into AI versus cyber risk and GRC, asks whether we’re staring at an AI bubble or winter, and argues that resilience – not speed – is the real test of AI maturity. Read the full breakdown -

The old myths about why women do not stay in tech are crumbling, following the launch of an important new report exploring why retention is a growing challenge for the industry. Cath Everett examines things that organizations can do to make a difference.

What do you want to know?.

RT @jonerp: My goal here was to achieve the same kind of candid discussions Aaron and I have had at events over the years. Never turn dow….

It's the leadership challenge every executive faces right now: how do you let teams move fast while keeping everyone aligned? Listen to Aaron Harris with @Jonerp on how @SageGroupPLC manages AI innovation without losing control

As AI re-shapes economies, what can we learn from the villages of rural Britain about the adoption of transformative technology, and how it changes the nature both the organisation and the surrounding community? @MChillingworth looks for answers -

Every cycle brings hype. The real test is who can see past it. As @SageUSAmerica CTO Aaron Harris put it: “Sometimes the hype has to dissipate before I see the opportunity.” Listen to episode 5 of our Executive Intelligence podcast with @jonerp

A critical MIT report reveals failing GenAI programs triggering stock market jitters and serious questions about AI adoption. If the AI bubble is finally deflating, @strategistmag asks if this might be exactly what the industry needs:

Target was the shining star in the omni-channel retail re-invention firmament. As the news that Target CEO Brian Cornell is stepping down shakes Wall Street, @WhoStu takes a look at what's changed:

Deleting databases, inventing policies, locking out users - at machine speed - a new category of "non-human error" that trad cybersecurity wasn't designed to handle. As organizations adopt more AI, how can they prepare? Alyx MacQueen investigates #AIerrors

As @salesforce launches Agentforce for Public Sector, @WhoStu asks whether agentic tech can revolutionize public sector service delivery:

.@ifs has acquired 7bridges for AI-powered supply chain logistics planning and automation. @philww caught up with Bob de Caux, Chief AI Officer at IFS, and Vaibs Kumar, its SVP Technology, to find out more about the motivation for the deal:

GRC is a complicated process that requires constant human supervision. @DrataHQ CEO @markowitzadam explained to @glawton how his firm is approaching agentic AI to improve efficiency as well as build trust in its GRC tooling.

Investors haven’t been kind to stock prices of many leading professional services firms - some have seen 1/3rd or more reduction in price this year. Research firms might get an even deeper drumming. What's behind all of this? @BrianSSommer takes a look:

In a competitive market, @Zoom has extended its AI concierge to telephony amidst sluggish growth. @Derek_duPreez analyzes the collaboration platform's latest Virtual Agent expansion and ongoing efforts to capture enterprise work beyond video conferencing:

From data boom to energy bust - what is tech's role in the global power challenge? @PureStorage's CTO International, Alex McMullan asks the most important AI question - do we have the power?

New AI features are coming thick and fast at users of @GoogleWorkspace, its suite of teamwork and productivity apps. But - asks @philww - are customers making the best use of the technology? For now, it's baby steps.

Once upon a time, accountability rested in humans, not machines. But in the AI age, that is no longer the case. So, what can organizations do about it? That's where things get tricky…@strategistmag explains:

What is a GTM Engineer? Is it a new role or a re-imagining of existing Marketing and Sales Operations roles? @bmosherzinck dives into the messy middle of tech roles today.

Why are entry-level jobs hard to come by? How should we rethink AI and education? A big new developer productivity study is previewed, and GPT-5 didn't live up to its billing - what does this mean for enterprise AI? @jonerp's back, and so are your whiffs!

Specialist insurance firm @ConvexIn is achieving dramatic productivity gains through AI agents that save underwriters and legal teams significant time, while maintaining accuracy in high-stakes insurance decisions. @mchillingworth has the story: