What is the biggest gap between what AI promises and what it delivers?

[Golden Tara]

Tired of the marketing speak, wanted honest opinions.

The honest question is whether it is changing how you work or just adding a step.

I am especially interested in what people would avoid as well as what they recommend.

Has anyone here actually tried it?

[GlassyCandle]

I found the same thing. I will keep an eye on it.

The useful stuff is harder to spot because there is so much noise around it

[Ronan_34]

That is exactly it. Proper useful that.

[GhostRider63]

I found the same thing. I will keep an eye on it. The useful stuff is harder to spot because there is so much noise around it.

Yeah that is about right. Story of my life that.

Appreciate it

[DotEXE]

Lots of companies going to increase productivity

[SwiftQuarry]

The biggest gap? Reliability. AI promises 'human-level' performance but delivers 'mostly right, sometimes baffling.' Case in point: asked a coding assistant to refactor a function. It 'optimized' it into an infinite loop. Took longer to debug than to write from scratch. That's the pattern-great for drafts, terrible for trust. Until models stop hallucinating confidently, they're fancy autocomplete, not collaborators.

[Enterprise]

Productivity claims are overblown. Sure, companies say AI boosts output, but at what cost? My team spent three weeks 'integrating' an AI workflow. Result? Two extra steps, one confused intern, and a meeting about why the AI wrote a client email in Shakespearean English. The tech works-if you babysit it. But 'set it and forget it'? That's marketing fantasy, not reality.

[WWEGary20]

Context understanding is the real shortfall. AI can summarize a document, but ask it to connect ideas across three reports and it's lost. Tried using one for market research-pulled stats from 2019 as 'current trends.' Not wrong, just... outdated. The promise is 'intelligent assistant,' but the delivery is 'search engine with commitment issues.' Fix the memory problem, and we'll talk.

[Dave]

Ethics and bias get glossed over in the hype. AI promises 'fair, unbiased decisions' but delivers 'train on internet, inherit internet's baggage.' Hiring tools filtering out qualified candidates? Loan algorithms redlining neighborhoods? That's not a bug-it's baked in. The gap isn't technical; it's accountability. Until companies own the mess, AI's just a mirror showing us our worst habits.