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Category: AI layoffs
The AI balloon is bursting and services must be ready to pick up the pieces
Wall Street has drawn a remarkably clear line between winners and losers, with AI-native companies representing the future and traditional IT services firms increasingly seen as part of the past. One side now commands price-to-sales multiples of 60x to 100x, while the other is steadily drifting towards 1x as investors bet that AI will replace the labor-intensive services model that has dominated enterprise technology for the last three decades.The problem with that narrative is that it only works if enterprises can actually deploy AI at scale, and today they simply cannot. Until organizations resolve their technology, data, process, and talent debt, AI will remain trapped in pilots and proofs of concept rather than fundamentally changing how businesses operate, which means the AI balloon won't burst because the models fail, but because enterprise adoption never catches up with the expectations already baked into today's valuations.Net-net, Wall Street will soon feel the agony of this AI balloon bursting if today's smartest services firms are not deployed to prepare Main Street for this AI future our whole economy is gambling on. Folks, services-as-software needs to be valued as the balance between success and failure.Read More
Stop treating enterprise AI like a Silicon Valley startup: Aaron Levie tells you why
We haven’t removed humans from the loop, we’ve just changed where they enter the loop. If you want to understand why most enterprises are still stuck in AI pilot purgatory, you can do a lot worse than listen to Aaron Levie. The Box CEO recently delivered one of the most lucid, unsparing conversations I’ve heard on what agents actually mean for large organizations, and almost none of it matched the breathless narrative coming out of the labs and the VC echo chamber. Read More
Over 27 million jobs are exposed to AI-evaporation across the Global 2000
Twenty-seven million. That is the number of corporate roles across the Global 2000 that HFS Research identifies as meaningfully exposed to AI-driven elimination, displacement, or fundamental redesign over the next three years. Not factory-floor jobs or gig roles, but 27 million white-collar, salaried, benefits-eligible positions held by people who built careers on the assumption that their employer had a plan for the future. Sadly, most employers do not, and the workers carrying the most exposure are the ones least likely to know it.Read More
