#AI adoption

#AI adoption

As the senior functional lead, the post-holder will drive and evolve common technology architecture and standards to support the realization of [the MoD's] strategic intent. They will oversee strategy, transformation, design, and implementation, ensuring supporting architecture, standards, and compliance processes are maintained.

Either way, I think the AI boom is alive and well, but with much of the short-term hype fading away, the big question is whether the long-term trajectory is still there and whether it makes sense for investors to hit the buy button now that the near-term is somewhat less hyped while the long-term is as exciting as ever.

Apple had already announced in January that Google's Gemini AI models would help power the upgraded version of Siri it delayed last year, but The Information's report indicates Apple might lean even more on Google so it can catch up in AI.

The strongest candidates are "able to think outside the box," Ahmad, director of Google Cloud's data cloud, said. "They're able to think outside the frame of how we would have normally described a problem." The executive added that candidates who take a traditional approach to engineering aren't performing as well in her team's interviews.

We are raising fiscal year 2026 revenue guidance to $41.45 billion to $41.55 billion, and Q3 cRPO was exceptional, up 11% year-over-year at $29.4 billion, signaling a powerful pipeline of future revenue.

A major problem for software companies is that their opponent is largely hypothetical. Even if both companies report blockbuster earnings, there's still the counterargument that AI will eventually eat their lunch.

A musician may begin learning a new piece and find themselves lost in the weeds, fumbling while thinking about fingering options, phrasing decisions, and micro-adjustments to dynamics. A golfer may end up actually lost in the weeds after needlessly obsessing over specialized techniques, swing plane, and ball flights. And the manager rolling out a new AI workflow? Their simple automation idea can devolve into scattershot attempts at broad goals, governance concerns, and vague existential questions about productivity.

Trust has fast become one of the central questions in every serious conversation about AI. Not capabilities. Not efficiency. Trust. If customers don't trust how companies deploy AI, they'll walk away. If employees don't trust it, they'll disengage. If enterprises don't trust their AI providers, they won't adopt. A recent global KPMG study found that while two-thirds of people now use AI regularly, fewer than half say they're willing to trust it.