From tools to AI teammates: the next era of investing
THE SO WHAT
Moving from reactive tools to proactive AI investing ‘teammates’ shifts the bottleneck from information access to delegation and guardrails—who decides what the agent can trade, when, and with whose money. If you build in fintech or wealth, your real product edge becomes trust, constraints, and oversight UX, not another research chatbot.
READ THE SOURCE
MORE FROM THE WIRE
Applied AIPerplexity trusts GPT-6 Astra with end-to-end systems
If Perplexity is letting Astra change code and touch production with less human oversight, the bar for "deployable autonomy" in software ops just moved. Teams still gating models to low-risk copilots should start scoping where they’d be comfortable with end-to-end execution plus spot checks, not line-by-line review.
Applied AI‘Too little, too late’: critics perplexed and suspicious of AI leaders’ call for a slowdown
Backlash to AI leaders’ slowdown rhetoric shows trust is now a core constraint—safety moves are being read as PR or power plays, not public goods. If you’re deploying advanced models, assume you’ll need independent audits, transparent timelines, and concrete constraints to be credible with regulators and the public.
Applied AIAustralia’s AI music decision opens a new front in the fight over human creativity
ARIA’s move to strip wholly AI-generated tracks from its charts creates a formal economic distinction between “human” and “machine” music. Labels, platforms, and tools now have to track provenance at the song level—if you build in music or creator tech, watermarking and contribution metadata just became table stakes.
Applied AIThe detrimental cost of scaling too fast
McKinsey’s data—44% of orgs “scaling AI,” 54% at $1B+ revenue—suggests AI is crossing from pilot theater into real operations, where bad scaling decisions compound quickly. Before you chase that status, map where verification, data quality, and change management will break first; the cost of rework and trust loss is now the main risk, not model accuracy on day one.