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.
Gartner says that its July 2025 survey of nearly 3,000 employees showed that 46 percent of managers are experimenting with AI to improve their work, compared to just 26 percent of employees. A separate survey conducted at the same time found that just 14 percent of managers said that they didn't face any challenges encouraging their teams to use AI.
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.
A 2025 LinkedIn study found that 80% of C-suite executives believe AI adoption is important and will foster a more innovative workplace culture. Gartner reported in December 2025 that 65% of employees said they are excited to use AI at work. The trend suggests a convergence of three priorities: Management fears their companies will fall behind if they don't adopt AI and automation; Employees use AI because it makes their jobs easier, and the knowledge gained is an important career skill; The cost of off-the-shelf software and development makes AI an attractive alternative.
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.
AI is transforming how teams work. But it's not just the tools that matter. It's what happens to thinking when those tools do the heavy lifting, and whether managers notice before the gap widens. Across industries, there's a common pattern. AI-supported work looks polished. The reports are clean. The analyses are structured. But when someone asks the team to defend a decision, not summarize one, the room goes quiet. The output is there, but the reasoning isn't owned.
Accenture staff must demonstrate they have fully bought into the consultancy's AI vision if they want to get on. A memo sent to senior staff this week, and reported in the FT, informed them that promotions to top roles at the corporation would necessitate "regular adoption" of AI tooling, and it is tracking uage. In a statement to The Register, Accenture said:
The UK is entering a pivotal phase in the evolution of its digital economy as artificial intelligence (AI) shifts from experimental innovation to mainstream dependency. Platforms such as ChatGPT now attract hundreds of millions of weekly active users worldwide, while Microsoft 365 Copilot has been rapidly adopted across the enterprise landscape, with nearly 70% of Fortune 500 companies integrating it into daily workflows.
Focus the conversation on tasks, not titles-what parts of the job may become easier and what parts will require more human judgment, context, and problem-solving. Be explicit about where AI fits and where it doesn't. Often, the aim of introducing AI is to strip out busywork so people can spend more time on problem-solving and generating ideas that move the work forward.
Artificial intelligence may dominate the conversation in boardrooms and break rooms alike-but a new Google report suggests most workers still haven't adopted the technology en masse. In a study conducted with Ipsos and shared exclusively with Fortune, Google found that just two in five U.S. workers (40%) are even casually using AI on the job. Only 5% are considered "AI fluent," meaning they've redesigned or reorganized significant portions of their work with the technology.
A common perception is that AI adoption requires specialized data scientists or massive upfront infrastructure investments. In reality, the true value of modern AI lies in its ability to solve common, costly operational challenges that affect nearly every organization. AI can analyze vast amounts of data far faster than human teams, delivering predictive insights that optimize supply chains, streamline administrative work and improve decision-making across departments.
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.
Indeed survey data paints a stark picture of uneven AI engagement across advanced economies. The chart below shows a clear frontrunner: Ireland stands out, with roughly seven in ten workers using AI at least monthly for work, followed by Australia, Germany, and North America. At the other end sits Japan, where fewer than one in five workers report professional AI use - less than half the level seen in the US or UK.
