Why do 70% of enterprise AI initiatives fail? At #AppianWorld, I sat down with Gregg Aldana, VP of Global Solutions Consulting at @Appian
, to discuss how leading organizations are beating the odds, shifting from vibe coding to strict governance, and moving AI safely into
MARKET TRENDS
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70% of enterprise AI initiatives fail: shifting from vibe coding to governance
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Spain leads in AI use in Europe according to @awscloud_es
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In Spain we are at the forefront in the use of AI in Europe @awscloud_es
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GitHub launches GH-600 certification for Agentic AI Developers, focusing on safe CI/CD integration.
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The "Agentic AI Developer" is no longer a buzzword. It’s a formal credential. @github just dropped the GH-600 certification. This isn't about writing prompts. It’s about integrating AI agents safely into CI/CD pipelines without introducing catastrophic failures. To pass
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Gary Marcus’s 3 Predictions: Neurosymbolic AI’s Fortune, LLMs’ Limited Profitability
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Three Predictions: 1. Some form of AI, probably neurosymbolic in nature, will come that is far more economical and data- and energy-efficient than LLMs, and it will make an absolute fortune. 2. LLMs, on the other hand, will never be all that profitable (aside from the chip
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Trust not intelligence is the real problem with AI investing
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Everyone wants “smarter AI” in investing.
— Linus ✦ Ekenstam (@LinusEkenstam) 4 juin 2026
Cute.
The problem was never intelligence.
It was trust.
Because “mostly right” sounds acceptable until your $50M acquisition is built on one hallucinated number.
That’s the gotcha.
AI can be brilliant and still be unusable when the… https://t.co/mdeciHCkW0Everyone wants “smarter AI” in investing. Cute. The problem was never intelligence. It was trust. Because “mostly right” sounds acceptable until your $50M acquisition is built on one hallucinated number. That’s the gotcha. AI can be brilliant and still be unusable when the
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Altman’s consumption boom contradicts customers’ cost-cutting demands
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“Altman just described a future where consumption goes up by orders of magnitude while his customers are already asking how to bring the bill down. Those two things can't coexist for long.”
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Gary Marcus’ technical claims 90% correct, neurosymbolic AI in vogue
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ps someone did a study and found that my technical claims were 90% correct; neurosymbolic AI which I long advocated for is now finally in vogue, etc.
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GenAI ROI positive but Bain report opaque on metrics
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There are lots of issues with GenAI implementations but surveys seem to suggest broad positive ROI. Data & stories about AI failures are real and useful but need to be clearer about what they are measuring. The Bain report is super odd & opaque about that. https://
bain.com/insights/your-
ai-budget-is-growing-your-returns-arent-heres-why/
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Prior ML data issues could hinder AI investment, citing fake MIT study
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I actually read this & it is super weird, it appears to be an argument that prior machine learning systems (not generative AI) did not generate savings due to data issues so that will lead to a lack of investment into current AI systems Also it cites the mostly fake “MIT study”
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Gary Marcus quotes Sam Altman on AI spending pullback, claims he’s blocked
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what part of what i quoted did you not understand? “ Sam Altman warns OpenAi and Anthropic are experiencing severe pullback on Ai spending as companies put significant restraints on spending to restrict costs.” blocked for doing what you accused me of