Results

IBM and Google Cloud inked a deal that ties IBM Consulting Advantage with Google Cloud Gemini Enterprise. Under the deal, IBM will use Consulting Advantage, its AI delivery platform, with Gemini Enterprise industry agents.

The companies also said it will launch a new global Google Cloud practice with "thousands of IBM consultants."

Key items include:

  • The companies are focused on industry use cases for banking, government, retail, telecommunications, energy, security, insurance and life sciences.
  • IBM consultants can now design, build and govern enterprise AI agents on Google Cloud.
  • The companies are focused on production uses cases and will integrate hybrid cloud offerings, AI platforms and governance tools.

A UserTesting report has some damning findings when it comes to software updates. In fact, we hate them.

According to a survey from UserTesting, there's widespread anxiety and frustration with software updates. A few findings:

  • 62% of Americans say OS updates disrupt their daily device usage.
  • 53% say the same about app updates.
  • 78% avoid changing anything on their devices unless absolutely necessary.
  • 15% put off updates until forced to install them.
  • 15% are concerned updates will add unwanted AI features.
UserTesting software update survey

Coupa and the MIT Data Science Lab published the 2026 Business Spend Index Report using Coupa's data on actual business spending. The index is designed to be an economic indicator that is predictive.

According to Coupa and MIT, the BSI caught an April spending pullback before surveys. Current findings include:

  • Procurement spend in technology, financial services and healthcare and life sciences are expected to contract over the summer.
  • Technology procurement spend has climbed 40% since mid-2024 to a four-year high.
  • Enterprise AI demand appears to be catching up to the AI infrastructure build-out.

Knowledge at Wharton has a good post on whether AI is killing UX. The post is worth a read given that UX is allegedly disappearing and being replaced with an all-encompassing chat interface.

The authors, Scott A. Snyder, a senior fellow at the Wharton School and author of Your AI Life, and Mike Welsh, chief storyteller at Bridgenext and author of The Backstory on Storytelling, write:

"The more AI accelerates the making of experiences, the more important it becomes to understand who those experiences are for. We can generate customer journeys, personas, screens, content, and front-end code faster than ever. None of that guarantees we have understood the end user’s moment or the context around it and the emotion underneath it.

So the question is not really whether AI is killing user experience (UX). The better question is whether AI is exposing the parts of UX that organizations have been treating as optional."

Alphabet said it will raise $80 billion in equity to fund AI infrastructure. The offering consists of $30 billion in Class A and Class C shares and $40 billion in at-the-market offerings where Alphabet will sell stock beginning in the third quarter. The remaining $10 billion is a private placement with Berkshire Hathaway.

The details are here. A few thoughts:

  • This equity offering is huge, but Alphabet has Google and Google Cloud as well as a real business delivering results.
  • The timing of this equity offering lands as there are three IPOs coming that will likely suck up capital.
  • Alphabet was smart to bring in Berkshire Hathaway.
  • Nevertheless, Alphabet shareholders are going to see dilution ahead.

D-Wave Quantum is spreading its bets on quantum computing systems. The company is best known for its annealing systems, but now is launching a roadmap for gate-model systems.

Quantum computing has multiple flavors and it's unclear which technology will win out. Most experts are betting on superconducting systems. What's interesting is that D-Wave is among the first pure play quantum plays to target two platforms.

D-Wave said it will target 100 logical qubits able to perform more than 1 million operations by 2032.

Here's D-Wave's roadmap:

D-Wave roadmap

Intel is taking aim at more efficient AI inference. At Computex, Intel outlined the following:

  • Intel Xeon 6+ processors with efficient cores.
  • Intel expanded its 800 Series Ethernet lineup with Intel Ethernet E835 controllers and network adapters, scaling up to 200GbE. The goal is to reduce AI networking bottlenecks.
  • The chipmaker is looking to attract small and mid-sized businesses with a new 12-core Xeon 6300 series for entry level servers.
  • Intel teased its Crescent Island GPU, which is designed for agentic systems and their power and memory bottlenecks.

Given Intel's recent comeback amid the CPU renaissance, it's worth noting the new products. But Intel remains a prove it story and it's unclear whether it can fend off Arm's encroachment in the data center and PC.

In my recap of Nvidia's Computex launches, there were a few big names supporting Vera CPUs missing. Nvidia said:

"Global AI labs planning to adopt Vera to transform their AI factories include Anthropic, OpenAI and SpaceXAI, and hyperscalers ByteDance, CoreWeave and Oracle Cloud Infrastructure."

Hmm. Where's Google Cloud, AWS and Microsoft Azure? The latter will come at Microsfot Build most likely.

All the hyperscalers will support Vera just like they do every other CPU, but the reality is they have their own custom silicon. Also worth noting that Nvidia compared Vera CPUs to x86 options. How does it compare to Arm-based options?