We build AI systems for enterprises and startups that deliver results || Follow @techificial for daily tools, case studies & free resources.techificial.ai Gurugram, Haryana, IndiaJoined September 2024
Your competitors are deploying AI agents.
Gartner says 42% of enterprises expect to do the same over the next 12 months.
The 2026 Hype Cycle tells you exactly where they will get it wrong.
Gartner just published its first-ever Hype Cycle dedicated entirely to agentic AI, covering more than 30 innovations across maturity stages and the time it may take to adopt. The verdict is clear.
Agentic AI is an ecosystem where some parts are moving much faster than others.
Here is what the 2026 Hype Cycle tells us:
1. Speed without governance turns agents into liabilities.
2. Forty per cent of agent projects will fail.
3. Orchestration controls agents, not the AI model.
4. Vendors are rebranding automation as agentic AI.
The enterprises that do best over the next two years will be the ones that deployed the right agents with the right governance when the technology was ready.
Where is your organization in that process right now?
Follow Techificial.ai for more AI updates, deep dives, and real-world applications.
@sriram_gsr16 You raise a valid point. Companies must balance AI advancements while addressing core business challenges to ensure they deliver real value.
A year ago, letting AI write production code sounded almost unbelievable. Today, power users are hitting usage limits because they rely on it so often to build, debug, test, and ship software. That's a strong sign that AI coding is becoming something they don't want to work without.
@Kyriakos_Pelek@Kyriakos_Pelek, we've all been there. It is a reminder for all of us to maintain a proper deployment process. Regular audits can help us catch those hidden bugs before they cause issues.
@VraserX@VraserX, it is good to see how indie creators are creating boundaries with such innovation. This kind of creative energy truly represents the future of filmmaking.
Your Codex streak is either proof of progress or proof of excuses.
The developers who will win the next 3 years are already building theirs right now.
OpenAI just dropped Codex Profiles and most of you don't pay much attention to it.
Here is what it actually shows:
1. Daily graph of every session you ran
2. Streaks showing how many days you built
3. Total output from your very first prompt
4. A private card you choose to share
When your output becomes visible, your habits change. When your habits change, your output keeps growing. When your output grows, the gap between you and everyone else grows.
GitHub proved this with contribution graphs. Duolingo proved this with streaks. Codex just brought it to AI development.
The developers ignoring this today are the ones who will wonder next year why they are behind.
What does your Codex streak look like right now?
x.com/OpenAIDevs/sta…
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