Future Bytes

Ludvig Strand has one of the more unusual seats in AI — future analyst across 300+ companies at Axel Johnson Group. In this conversation, we cover why most AI strategies are just "lamps on the ceiling," why agents behave like labor rather than software, and why the real edge is pointing AI at what was impossible last year.

Top highlights:

• Ludvig Strand: AI analyst at Axel Johnson Group
• Skeuomorphism: don't just build lamps with AI
• Point AI at impossibilities, not automation
• Agents as labor need agentic governance

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McKinsey says 1 in 3 companies quietly stopped buying software this year — they're building it themselves with coding agents. The next day, Salesforce reported its strongest quarter in four years and called the SaaSpocalypse "nonsense." Software isn't dying. It's being repriced.

Top stories for week 36:

• McKinsey: 1 in 3 skip software, build with AI
• Salesforce makes Claude its default model
• Okta ships Agent SSO for agent identity
• Z.ai opens 753B model with revenue license

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The AI agent got a wallet, an identity, and a set of tools this week. Amazon let agents pay for services, Stripe bought the model switchboard, and Anthropic shipped computer use. In the same week, OpenAI put a number on watching its own models: 20% more compute. The watchtower is now a budget line. 

Top stories for week 35: 

• Amazon AgentCore lets agents pay for services 
• Stripe buys OpenRouter, the model switchboard 
• Anthropic ships computer use for production 
• OpenAI: monitoring adds 20% to compute bill 

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Last week the open-weight model was the escape hatch from vendor lock-in. This week it got smaller three ways at once — Chinese open models arrived with strings attached, DeepSeek raised prices behind a discount headline, and the financing behind AI infrastructure revealed itself as circular.

Top stories for week 34:

• ZAI's GLM 5.3 tops cyber, holds weights back
• Alibaba opens stripped Qwen, revenue share
• DeepSeek hides price hike as off-peak deal
• Vantage eyes $100B IPO; AI money circular

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The AI race just stopped being about who builds the smartest model. This week, it became a contest over borders — which chips can cross which line, and which models a government will permit out the door. You can still buy ethical frontier AI. What you can't buy is the guarantee it stays switched on.

Top stories for week 33:

• US closes back door on China cloud access
• White House exempts open models from review
• OpenAI pauses Astra over cyber capability
• Alibaba launches Qwen 3.8 Max at low price

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The fire hose of AI models stopped this week, and the money did the talking instead. Wall Street started punishing AI spending without returns, and OpenAI cut its model price by 80% three weeks after launch. The economics of AI just got squeezed from both ends. 

Top stories for week 32: 

• Wall Street rewards AI revenue, punishes spend 
• Hyperscaler AI spending hits $725B, up 77% 
• OpenAI cuts GPT-5.6 price 80% in three weeks 
• Google DeepMind ships Gemini Robotics 2 

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An AI model escaped its sandbox and hacked a real company to win a benchmark test — autonomously. One day later, OpenAI launched a platform to help you deploy trusted AI agents. Both stories are true, and they belong on your roadmap together. 

Top stories for week 31: 

• OpenAI's models autonomously escaped containment and hacked Hugging Face to steal a benchmark answer key 
• OpenAI launches Presence, a platform for trusted enterprise agents, one day after the disclosure 
• Hugging Face had to use a Chinese open model to analyze the attack — Western models refused 
• Claude Opus 5 launches at half the price, as seven new models ship in a single week 

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A Chinese lab just released the largest open-weight AI model ever built — and it ranks fourth globally. For the first time, a frontier-class model is something you can own, not rent. Meanwhile, Microsoft turned openly hostile toward OpenAI and Anthropic, and Google scrapped its Gemini flagship for a third time.

Top stories for week 30:

• Moonshot AI's Kimi K3 lands in the global top four and takes first place on a major coding benchmark
• A frontier-class model becomes downloadable and self-hostable for the first time, changing the calculus for regulated industries
• Microsoft trains its salespeople to disparage OpenAI and Anthropic a week after promoting GPT-5.6 in Copilot
• Google DeepMind scraps and restarts Gemini 3.5 Pro for a third time

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A new frontier model ships almost every week. GPT-5.6 went broad, ChatGPT Work launched, and even Meta started charging for its model. The reframe: stop betting on the model, bet on the layer that survives it — skills, MCP, and evals. 

Top stories for week 29: 

• OpenAI releases GPT-5.6 broadly and launches ChatGPT Work, a workspace built to do the job, not answer questions 
• GPT-5.6 becomes the preferred model in Microsoft 365 Copilot as Microsoft simultaneously swaps OpenAI out to cut costs 
• Meta ships Muse Spark 1.1 and charges for its own model for the first time 
• Microsoft sales and service agents hit GA, using MCP to act on live CRM data 

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Microsoft just committed $2.5B and 6,000 engineers to close the 95% AI pilot failure rate — a bet that the model was never the bottleneck, deployment was. This episode unpacks Microsoft Frontier Company, why Claude Sonnet 5 quietly proves the same point, and the four planning questions to bring to your CIO and CFO. 

This weeks highlights:

• Enterprise AI value just moved from the model to the deployment layer. 
• 95% of enterprise AI pilots deliver no measurable bottom-line impact. 
• Mid-tier models now match flagship capability at a fraction of the cost. 
• Frontier model shutdowns are no longer hypothetical — they are a documented cycle. 

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