Throughout 2025 the standard response to any complaint about an LLM was some version of "just wait 3-6 months, the next generation will handle this effortlessly." The argument was everywhere. Every limitation was temporary, every missing capability was a few iterations away, every autonomous agent demo was a preview of imminent reality. It's April 2026 now and worth checking how that held up. On r/ClaudeAI this week there's a long thread about Opus 4.7 where multiple users argue it's a regress
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Tech Blogger Take
The 'just wait 6 months' crowd went suspiciously quiet when 6 months actually passed
Remember 2025? Every AI limitation had the same response: 'just wait 6 months.' GPT-5 will fix reasoning. Claude will handle long contexts perfectly. Autonomous agents are almost here. It was the ultimate conversation ender — why debate current problems when the next model would solve everything? Well, it's April 2026, and r/ClaudeAI is melting down over Opus 4.7 being worse than its predecessor. The same people who promised exponential progress are now explaining why regression is actually normal. Here's what nobody wants to admit: the 'wait 6 months' argument was never about AI capabilities — it was about avoiding hard conversations about what AI actually can and can't do right now.
AI Analysis
Software Development
highStop planning your 2026 roadmap around AI capabilities that don't exist yet — build with what works today
The same developers who swore GPT-5 would eliminate junior roles are now manually debugging Claude's regression bugs
Your boss is still asking when AI will automate your job, and you need better answers than 'just wait 6 months'
Job Impact Analysis
AI Product Manager
At RiskThe 'wait 6 months' promise cycle has created unrealistic stakeholder expectations that are now crashing into reality
Start having honest conversations about current AI limitations instead of selling future capabilities
Software Engineer
OpportunityAI tools remain helpful but not revolutionary, meaning human expertise is still irreplaceable
Focus on mastering AI-assisted workflows rather than waiting for full automation