AI: AI strategy & adoption

Showing 266 articles for AI: AI strategy & adoption.

Digests

AI strategy & adoption

Podcast

How Scale AI trains frontier models and why expert data is the new moat

Lenny's Podcast Product Career Growth October 9, 2025


AI strategy & adoption 9
Business models 7
Founder interviews 6
  • AI models are shifting from knowing things to reliably doing things.
  • Enterprise AI takes 6–12 months to deploy; most POCs fail from underestimating that.
  • Expert human judgment — not raw data volume — is now the binding constraint on model progress.

AI strategy & adoption

YouTube

Questions every AI startup founder should ask before AGI arrives

Y Combinator October 7, 2025


AI strategy & adoption 9
Vision & mission 7
  • SaaS may die as enterprises build in-house with AI coding tools
  • Smaller AI-native teams erode the human trust guardrails inside companies
  • Hard physical problems remain the most defensible moat after AGI

AI strategy & adoption

Podcast

Google's AI origins: how the transformer creator became the AI underdog

Acquired October 6, 2025


AI strategy & adoption 9
Case studies 8
Business models 6
  • Google published the transformer paper — then let OpenAI run with it
  • The only company with model, chip, cloud, and mass-market distribution
  • Waymo: 91% fewer serious crashes, Google-sized market, still barely noticed

AI strategy & adoption

YouTube

How Anthropic trains frontier AI: pre-training, scaling, and engineering reality

Y Combinator September 30, 2025


AI strategy & adoption 10
Processes & SOPs 7
  • Scale beats architecture — more compute reliably wins over clever design choices.
  • Silent bugs in a multi-month training run can silently invalidate an entire model.
  • Engineers, not researchers, are the binding constraint at frontier AI labs.

AI strategy & adoption

YouTube

A 10-minute routine to find and prioritise AI automations

Dylan Davis September 18, 2025


AI strategy & adoption 10
Automation & tools 7
  • Start with low-risk quick wins, not complex automations — confidence first.
  • The 'last mile' rule: never let AI make the final hiring or closing decision.
  • Test only the AI-heavy segment of a process before automating the whole thing.

AI strategy & adoption

YouTube

Why startups win in the AI era, with Box CEO Aaron Levie

Y Combinator September 16, 2025


AI strategy & adoption 9
Business models 8
Niche selection 7
  • AI unlocks a vast backlog of work companies couldn't justify before.
  • New business model: charge per unit of work, not per seat.
  • The startup window is open now — it closes in two to three years.

AI strategy & adoption

YouTube

Three mental models for rebuilding your business in an AI world

Daniel Priestley September 12, 2025


AI strategy & adoption 10
Pivoting 8
Product-market fit 6
  • Treat your current business as already dead and rebuild from scratch.
  • AI agents give every client a free PhD-level expert on demand.
  • Old moats are gone; exclusivity, community, and experience are the new ones.

AI strategy & adoption

YouTube

Software creation is shifting from experts to anyone with an idea

Y Combinator September 12, 2025


AI strategy & adoption 9
Business models 7
Management 5
  • Application software will trend to near-zero cost within years.
  • Agent reliability depends on infrastructure, not just better models.
  • Domain expertise beats coding skills for building agent startups.

AI strategy & adoption

YouTube

How Google search and ads are changing with AI mode in 2026

Neil Patel September 10, 2025


AI strategy & adoption 9
Paid ads 8
  • Google's biggest ad model change in 25 years targets conversation intent
  • Your brand's reviews and social posts now influence ad delivery
  • Early AI training data compounds into a near-unbeatable competitive advantage

AI strategy & adoption

Podcast

How AI is reshaping the product manager role

Lenny's Podcast Product Career Growth September 7, 2025


AI strategy & adoption 9
Customer discovery 7
Identity & self-belief 5
  • PMs who don't adapt to AI's faster build cycles will become the bottleneck.
  • Winning companies rebuild around AI as the core, not an edge add-on.
  • Writing evals and hands-on technical fluency are now essential PM skills.

AI strategy & adoption

YouTube

How Perplexity's leaked ranking signals are rewriting SEO

Neil Patel September 3, 2025


AI strategy & adoption 10
SEO 8
Content marketing 7
  • Perplexity traffic converts higher than ChatGPT despite lower volume
  • Content decays unless refreshed — Wikipedia dominates because it updates constantly
  • Cross-platform topic clusters build the entity authority AI systems rank

AI strategy & adoption

YouTube

Three skills that make you irreplaceable in the AI era

Dan Martell September 2, 2025


AI strategy & adoption 9
Identity & self-belief 6
  • AI already surpasses humans at analytical work — departments will disappear
  • Taste, vision, and care are the last skills AI cannot replicate
  • Directors who guide AI will thrive; doers who execute will be replaced

AI strategy & adoption

Podcast

GPT-5, the AI bubble, and the Windsurf employee payout scandal

Startups For the Rest of Us September 2, 2025


AI strategy & adoption 8
Fundraising & VC 7
B2B sales 6
  • AI capability growth is slowing — each new model is a smaller step.
  • Windsurf employees got near-nothing from a $2.4B deal that paid founders.
  • SaaS built on subsidised AI compute may collapse when real pricing hits.

AI strategy & adoption

YouTube

How a non-technical founder built a $1M panic attack app

Starter Story August 31, 2025


AI strategy & adoption 8
Social media 8
Hiring & recruitment 5
  • A personal panic attack became a 4M-download, $1M-revenue app
  • Cold emails to journalists landed features in Time, Cosmopolitan, Women's Health
  • User reviews — not revenue — were the metric that drove Rootd's growth

AI strategy & adoption

Podcast

How Airtable restructured for AI: lessons from Howie Liu

Lenny's Podcast Product Career Growth August 31, 2025


AI strategy & adoption 9
Founder interviews 9
Pivoting 8
  • Split engineering into fast-thinking (weekly AI ships) and slow-thinking teams
  • Every software company must refound itself for AI, or find a buyer
  • CEOs who use AI hourly and stay close to product details win

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