AI maybe on everyone's lips, but it's not what's driving IT spending In the face of continuing economic uncertainty and geopolitical conflict, spending on computer software continues at a staggering pace, forecast to grow 13.5 percent in 2023. This is according to the latest figures from Gartner, which said growth would continue into next year: after hitting $912 billion globally in 2023, …
Please could the Register sub-editor be a little less obscene? At my age, and having worked on a farm, this modern headline reads "Artificial insemination maybe on everyone's lips, but it's not what's driving Intensive Therapy spending"
....that has a 30 year history of creating and integrating ever more sophisticated and accurate 'AI' into their product lines.
I believe that the sudden public access to OpenAI and ChatGPT.v.xx LLMs caught them off-guard and panicked them. Drove them crazy. In the space of 90 days, the firm has spent about 1.5 billion Euro on a few rapid-fire acquisitions, not so much to gain additional tech and competence, but to keep their competition from buying said smaller companies. That spending was top-Dollar/Euro/Yen and has nearly drained the M&A coffers.
How else are they paying for the needed integration? By clipping every non-AI tech group in the company by 10% and directing those headcount 'funds' into support for the new acquisitions.
I give them 3 chances in 5 of pulling all his off without causing serious harm to the overall health and reputation of the firm.
Two. OO is clearly established, and there are a number of real-world fuzzy-logic applications, often in areas like industrial control.
Other hyped technologies lost their lustre but actually succeeded in a quieter way. "Mobile" was a source of much scrambling for a while, and technologies like WML were the rage, but then hardware caught up and mobile apps became just another mundane deployment option. There's a lot less chatter about Big Data these days, but there's still a lot of big-data processing and data science happening; people just stopped treating it as something exciting.
There are hyped technologies which found some market success and then plateaued, failing to reach the heights some people forecast. Wearables and home assistants are good examples.
And then of course there were those that succeeded only in niches, like Fourth-Generation computing and blockchain. (From the latter I'm excluding good applications of proper Merkle graphs.) And the ones that still attract a lot of hype with little to show for it, such as VR.
Personally, I am still wildly unimpressed by LLMs and other deep-transformer-stack applications, but I suppose we'll see.
int main(enter the void)... The Register 
Biting the hand that feeds IT
Copyright. All rights reserved © 1998–2025
