It’s time to close the chapter on the legacy analyst industry that has lost its energy, its identity, its independence...Read More
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What GBS leaders can learn from the Rise and Fall of Empires
There is no value in painting GBS as black or white. Like almost everything in life, it has shades of gray. The most important question is ‘how can we make it better?’Read More
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Blockchain still not enterprise ready, but the Hyperledger Fabric 1.0 release can show the way
Hyperledger Fabric is younger than many others, but there are three characteristics that make it important for enterprises that want to solve business pain points, leveraging BlockchainRead More
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IBM partners with Automation Anywhere: Great for AA, but IBM’s cognitive automation strategy just got more confusing
Many stakeholders don’t understand the differences between RPA and RDA and this partnership just adds more confusion to the mixRead More
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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






