AI is racing ahead while companies are still tying their shoes. Logarithmic, slow, human change vs exponential, accelerating, technological change. The classic tension between the two explains why humans consistently underestimate tech’s impact. I’ve written about this before and this post of curated articles proves it: Minding the accelerating technology gap.
Employees vs. AI: Still Buffering. Companies bought the future, but their people are still downloading the update. The conclusion is that change takes time and thinking new technology will just land is a fools errand.
Brain Fry & Cognitive Bandwidth. AI “brain fry” captures how constant prompting and context‑switching turns workers into human APIs—technically functional, mentally cooked. We are all still working out how to work with AI, some more successfully than others, says the man who coined the term ‘vibe coding.’ Andrej Karpathy, the former Tesla AI boss, says there’s a ‘growing gap’ among AI users.
Strategy, Execution & the Last Mile. The real villain it seems, isn’t the model—it’s rickety workflows, bad data, and change management held together with enthusiasm and duct tape.
Empires, Hype & the Awkward Middle. There’s a paradox with AI, which imitates life: AI is clearly historic, but for now we’re stuck in the messy in‑between, where productivity gains are modest and the old powers haven’t noticed the ground shifting under their feet.
Onto the articles – happy reading.
Your Employees Aren’t Ready For AI — And It’s A Problem
Posted on April 2. Forrester’s AIQ Reveals Severe Gaps In Employee Readiness For AI Employers aren’t successfully equipping their employees with the understanding, …
The Rise of AI ‘Brain Fry’
Posted on March 11. With the power of agentic tools, you too can become a stressed-out boss. Microsoft, like most large software companies, has been pushing its customers …
KPMG offers staff ‘outsize’ cash prizes for AI innovation
Posted on March 11. The firm’s new ‘AI Spark Innovation’ program rewards consultants who create AI tools that could transform workflows across the company. AI promises massive productivity gains—that is if employees are willing to use it and can figure out how to integrate it into their workflows. In the rush to reap …
The “Last Mile” Problem Slowing AI Transformation
Posted on March 9. Few companies have been able to fundamentally change their operating and business models around AI. The primary obstacle to progress is rarely model quality or data availability, but rather the “last mile” of transformation where technical capability must meet organizational design. There are seven …
Enterprise agentic AI requires a process layer most companies haven’t built
Posted on March 9. Presented by Celonis 85% of enterprises want to become agentic within three years — yet 76% admit their operations can’t support it. According to the Celonis 2026 Process Optimization Report, based on a survey of more than 1,600 global business leaders, organizations are aggressively pursuing …
Bill Stainton: Why Innovation Needs To Be A Process, Not An Event
Posted on March 7. For businesses aiming to thrive in today’s fast-paced world, innovation isn’t a buzzword—it’s a strategic and operational imperative. Bill Stainton, author of Innovation Unleashed: How to Find the Ideas That Matter and Transform Your Business, says innovation is a mindset that drives continuous …
The Eight Core Principles of Strategic Innovation
Posted on March 4. Many businesses launch on the strength of an innovative product or service. But somewhere along the line, most successful companies become more …
Where Senior Leaders Are Struggling with AI Adoption, According to Research
Posted on February 26. As AI becomes embedded across organizations, senior leaders are facing pressures that rarely surface in public forums. Drawing on in-depth interviews and focus groups with 35 executives across global enterprises, new research uncovers what executives are tackling as they lead efforts to scale AI: …
Anthropic’s New AI Index Shows What Sets Top AI Users Apart
Posted on February 23. The central finding from Anthropic’s new AI Fluency Index is that the better the output looks, the less people question it. Published this week, the AI Fluency Index is the first large-scale attempt to measure not just how people use AI, but how well they use it. Researchers at the AI company …
Thousands of CEOs just admitted AI had no impact on employment or productivity—and it has economists resurrecting a paradox from 40 years ago
Posted on February 17. In 1987, economist and Nobel laureate Robert Solow made a stark observation about the stalling evolution of the Information Age: Following the advent …
The empire always falls
Posted on February 15. STATUS // operational Westenberg. | v1.0 | 2026 A citizen of Rome in 117 AD, under Emperor Trajan, would’ve found it difficult to imagine the empire not …
Living in the Petri Dish of the Future
Posted on February 13. If you missed the brouhaha around a 5,000-word blog post about AI, let me bring you up to speed. But before I do, I want to remind you that sometimes …
Why most AI rollouts fail
Posted on February 12. Many companies treat AI as another IT rollout, but successfully scaling AI across an organization requires a different approach. Artificial intelligence has shifted from an experiment to an expectation. Boards push CEOs about ROI. CEOs launch enterprise rollouts. Leaders invest in tools, platforms, …
InnerVentures 
Leave a Reply