Mainstream AI like ChatGPT has starved peer review sites like G2 already. Their organic traffic is down 80-90% since 2023.
Will industry analysts like Gartner, BARC or IoT Analytics suffer next?
AI excels at pattern analysis — but it can’t scrape two things: NDA-level talk and next-quarter/next-year plans. As long as decision-makers prefer discussing upcoming projects and concerns with NDA-bound analysts and not publicly, AI cannot steal that classic analyst USP.
(Not to speak of defendability, auditability, etc.)
At the same time, AI can supercharge the AR profession in exciting ways:
AR-savvy tech innovators who understand real AI-powered AR use cases and pilot them early will quickly stand out.
Here are a few examples from simple to strategic:
𝙀𝙡𝙚𝙫𝙖𝙩𝙚 𝙖𝙣𝙖𝙡𝙮𝙨𝙩 𝙩𝙖𝙡𝙠𝙨
Let AI condense selected research and flag points that support or clash with your ICPs’ priorities, your positioning, roadmap, etc. Use those sparks to level up your analyst inquiries.
Uninformed analyst conversations hurt your reputation — smart ones can inspire research that supports your views or even spotlights your leadership.
𝙎𝙥𝙤𝙩 𝙝𝙞𝙙𝙙𝙚𝙣 𝙖𝙙𝙫𝙤𝙘𝙖𝙩𝙚𝙨
AI can surface where your USPs solve buyer pains in analyst research far beyond your usual radar. Think of adjacent systems or processes, untapped verticals, trends or business challenges.
Inquire with these analysts and win new advocates.
𝘼𝙣 𝘼𝙄 𝙩𝙤 "𝙥𝙤𝙥 𝙮𝙤𝙪𝙧 𝙗𝙪𝙗𝙗𝙡𝙚"
Systematically feed your AI-powered knowledge management with AR notes of analyst intelligence — both supportive and challenging. Prioritise quality over alignment.
Use it to support thinking outside the bubble.
𝙄𝙣𝙣𝙤𝙫𝙖𝙩𝙚 𝙬𝙞𝙩𝙝 𝘼𝙍 𝘼𝙜𝙚𝙣𝙩𝙨
Give your SMEs and key roles in Products, Marketing, Sales, Strategy, their own tailored AI-powered AR agents that support key tasks on-demand, scheduled or pro-actively.
Think suggested analyst quotes for Marketing, prepared for approval. Think competitor SWOTs for Product Managers. Think trend discussions that help Sales elevate conversations.
Exponentiate AR efficiency and impact.
AR evolves from overtime-heavy to managing smart systems. Who saw that one coming…?
I’m road-testing these and other playbooks with AI-first and AR-savvy startups across Europe — the response is eye-opening.
As always, it’s not about the tech itself. It’s about the use cases + someone skilled to drive them.
What’s your boldest AR-with-AI experiment?