Enterprise Strategy
Strategic analysis of how enterprises are adopting, scaling, and operationalizing AI, from governance and infrastructure decisions to workforce transformation, vendor selection, and competitive positioning.
Jamie Dimon Spent One Week Selling Two Futures: A Trillion Dollars for AI, and a Welding Torch for Your Kid
In one week, Jamie Dimon predicted $1 trillion in AI spending and told young Americans to pick up a welding torch. Both statements describe the same economy.
The Model Isn't the Moat Anymore. Murati's Thinking Machines Just Killed the Business Model Everyone Is Copying.
Murati's Thinking Machines gave away a 975B model for free, and the reason why reveals where the real moat in AI now lives: your data, not your model.
China Just Released the Largest "Open" AI Model in History. Try Downloading It.
Kimi K3 is being celebrated as the moment open-source AI caught the frontier. But at 2.8 trillion parameters, openness has stopped meaning access and started meaning influence.
"The Wrong Objective": BNY's CEO Just Told Corporate America It Wasted Two Years on AI
BNY's record quarter and ten blunt words from its CEO mark the end of token consumption as the metric that defined enterprise AI.
Databricks Raises at $188 Billion on a Simple Bet: Tokenmaxxing Is Dead
Databricks' new raise at a $188 billion valuation is a bet that the enterprise AI wars will be won not by the best model, but by the layer that routes, governs, and pays for all of them.
Anthropic Goes All In on Services With the Official Launch of Ode
The AI services venture backed by Blackstone, Hellman & Friedman, and a deep bench of global investors now has a name, a brand, and a clear mandate: turn frontier models into working systems inside real companies.
The Execs Who Built Big Tech's Customer Service Are Walking Away. Where They're Going Says Everything.
Veterans of Google, Salesforce, and other tech giants are betting that the future of customer service AI will be built by startups solving the hardest problems: production reliability, control, data, and the role of humans.
Nadella's Warning to Enterprise AI Buyers: You're Paying Twice
Satya Nadella breaks ranks with the frontier labs, warning that every prompt and correction quietly teaches AI providers how your business runs.
Starbucks Is Using AI to Build Its Own Software to Replace Microsoft and IBM Tools
Starbucks spends $400 million a year on software, and it just told Microsoft and IBM it might not need them.
Uber's "Agentic Pods" Show What Happens When AI Moves Beyond Engineering
For most of the past two years, the story of AI adoption inside big tech companies has been an engineering story. Uber has now given one of the clearest public looks at the next chapter.
Amazon Bets $1 Billion on "Forward-Deployed" AI Engineers, the Same Wager OpenAI and Anthropic Already Made
The cloud giant is the latest and largest name to embrace a deployment model pioneered by Palantir. The race has shifted from who has the best model to who can get it running inside your company.
PwC Tech Chief: AI Is Overwhelming Workers Faster Than Companies Can Lead Them
James Shira oversees technology and security for one of the world's largest professional-services firms. His argument to other leaders: the hardest part of the AI transformation is the weight it places on people.
How Bain Turned Vibecoding Into a Build vs Buy Weapon
Good enterprise software was assumed to be expensive, slow, and painful to replicate, which is exactly why acquirers paid steep multiples for it. Bain & Company just put a price on that assumption.
Anthropic Made Enterprise Knowledge Access Look Like Table Stakes
A new post on how the company runs its own analytics doubles as a quiet argument: the thing knowledge platforms charge a premium for is becoming the floor.
TD Is Going to Start Monitoring Some of Its Employees. Meta Did the Same Thing Two Months Ago.
Two months ago it was Meta logging keystrokes to train AI. Now a Canadian bank is tracking its financial-crime staff to lift productivity.
From Tokenmaxxing to Tokenminimizing: Meta Moves to Cap Employee AI Usage
Meta is reining in the very behavior it spent the past year encouraging.
Anthropic Called This Model Too Dangerous to Release. Today It Put It on Sale.
Two months ago, Anthropic's most powerful model was too dangerous to hand out. Today you can put it on a company credit card.
Sam Altman Says AI Budgets Have Become a "Huge Issue" for Companies
OpenAI's CEO says cost concerns went from a non-topic in January to one of the loudest complaints he hears, as firms blow through annual AI budgets in a single quarter
Snowflake CIO Says He Used Layoffs to Force Engineers onto AI Tools
"At the time, my team hated me," Mike Blandina said of January cuts he framed as a "provocative" way to prove AI could replace lost headcount.
The AI Labs Are Hiring Forward-Deployed Engineers by the Hundreds. Here's What They Won't Say.
Google, OpenAI, Anthropic, and Meta are racing to embed engineers inside customer operations. The reason has less to do with the job market than with a number the labs rarely volunteer.
Enterprises Are Funding 2027 AI Budgets With Savings That Never Arrived
The most dangerous number in Bain & Co.'s new survey is not 40%. It is 44%.
The Inference Price Floor Just Moved. What's Your Model Routing Strategy Now?
DeepSeek's V4-Pro now costs $0.87 per million output tokens. Permanently.
Why Anthropic’s Depth-First Strategy Overtook OpenAI, and What a 1957 Napkin Sketch Explains About the AI Race
Anthropic now leads OpenAI in U.S. business AI for the first time, and four patterns from a 1957 Walt Disney sketch explain what changed.
The Synergy Maps of xAI, OpenAI, Anthropic, Microsoft, and Google And Why Your Enterprise Needs One
The race in AI has moved one layer up, from model capability to architecture, and the five companies shaping enterprise AI are running four fundamentally different bets.
Jamie Dimon Spent One Week Selling Two Futures: A Trillion Dollars for AI, and a Welding Torch for Your Kid
In one week, Jamie Dimon predicted $1 trillion in AI spending and told young Americans to pick up a welding torch. Both statements describe the same economy.
The Model Isn't the Moat Anymore. Murati's Thinking Machines Just Killed the Business Model Everyone Is Copying.
Murati's Thinking Machines gave away a 975B model for free, and the reason why reveals where the real moat in AI now lives: your data, not your model.
China Just Released the Largest "Open" AI Model in History. Try Downloading It.
Kimi K3 is being celebrated as the moment open-source AI caught the frontier. But at 2.8 trillion parameters, openness has stopped meaning access and started meaning influence.
"The Wrong Objective": BNY's CEO Just Told Corporate America It Wasted Two Years on AI
BNY's record quarter and ten blunt words from its CEO mark the end of token consumption as the metric that defined enterprise AI.
Databricks Raises at $188 Billion on a Simple Bet: Tokenmaxxing Is Dead
Databricks' new raise at a $188 billion valuation is a bet that the enterprise AI wars will be won not by the best model, but by the layer that routes, governs, and pays for all of them.
Anthropic Goes All In on Services With the Official Launch of Ode
The AI services venture backed by Blackstone, Hellman & Friedman, and a deep bench of global investors now has a name, a brand, and a clear mandate: turn frontier models into working systems inside real companies.
The Execs Who Built Big Tech's Customer Service Are Walking Away. Where They're Going Says Everything.
Veterans of Google, Salesforce, and other tech giants are betting that the future of customer service AI will be built by startups solving the hardest problems: production reliability, control, data, and the role of humans.
Nadella's Warning to Enterprise AI Buyers: You're Paying Twice
Satya Nadella breaks ranks with the frontier labs, warning that every prompt and correction quietly teaches AI providers how your business runs.
Starbucks Is Using AI to Build Its Own Software to Replace Microsoft and IBM Tools
Starbucks spends $400 million a year on software, and it just told Microsoft and IBM it might not need them.
Uber's "Agentic Pods" Show What Happens When AI Moves Beyond Engineering
For most of the past two years, the story of AI adoption inside big tech companies has been an engineering story. Uber has now given one of the clearest public looks at the next chapter.
Amazon Bets $1 Billion on "Forward-Deployed" AI Engineers, the Same Wager OpenAI and Anthropic Already Made
The cloud giant is the latest and largest name to embrace a deployment model pioneered by Palantir. The race has shifted from who has the best model to who can get it running inside your company.
PwC Tech Chief: AI Is Overwhelming Workers Faster Than Companies Can Lead Them
James Shira oversees technology and security for one of the world's largest professional-services firms. His argument to other leaders: the hardest part of the AI transformation is the weight it places on people.
How Bain Turned Vibecoding Into a Build vs Buy Weapon
Good enterprise software was assumed to be expensive, slow, and painful to replicate, which is exactly why acquirers paid steep multiples for it. Bain & Company just put a price on that assumption.
Anthropic Made Enterprise Knowledge Access Look Like Table Stakes
A new post on how the company runs its own analytics doubles as a quiet argument: the thing knowledge platforms charge a premium for is becoming the floor.
TD Is Going to Start Monitoring Some of Its Employees. Meta Did the Same Thing Two Months Ago.
Two months ago it was Meta logging keystrokes to train AI. Now a Canadian bank is tracking its financial-crime staff to lift productivity.
From Tokenmaxxing to Tokenminimizing: Meta Moves to Cap Employee AI Usage
Meta is reining in the very behavior it spent the past year encouraging.
Anthropic Called This Model Too Dangerous to Release. Today It Put It on Sale.
Two months ago, Anthropic's most powerful model was too dangerous to hand out. Today you can put it on a company credit card.
Sam Altman Says AI Budgets Have Become a "Huge Issue" for Companies
OpenAI's CEO says cost concerns went from a non-topic in January to one of the loudest complaints he hears, as firms blow through annual AI budgets in a single quarter
Snowflake CIO Says He Used Layoffs to Force Engineers onto AI Tools
"At the time, my team hated me," Mike Blandina said of January cuts he framed as a "provocative" way to prove AI could replace lost headcount.
The AI Labs Are Hiring Forward-Deployed Engineers by the Hundreds. Here's What They Won't Say.
Google, OpenAI, Anthropic, and Meta are racing to embed engineers inside customer operations. The reason has less to do with the job market than with a number the labs rarely volunteer.
Enterprises Are Funding 2027 AI Budgets With Savings That Never Arrived
The most dangerous number in Bain & Co.'s new survey is not 40%. It is 44%.
The Inference Price Floor Just Moved. What's Your Model Routing Strategy Now?
DeepSeek's V4-Pro now costs $0.87 per million output tokens. Permanently.
Why Anthropic’s Depth-First Strategy Overtook OpenAI, and What a 1957 Napkin Sketch Explains About the AI Race
Anthropic now leads OpenAI in U.S. business AI for the first time, and four patterns from a 1957 Walt Disney sketch explain what changed.
The Synergy Maps of xAI, OpenAI, Anthropic, Microsoft, and Google And Why Your Enterprise Needs One
The race in AI has moved one layer up, from model capability to architecture, and the five companies shaping enterprise AI are running four fundamentally different bets.
In one week, Jamie Dimon predicted $1 trillion in AI spending and told young Americans to pick up a welding torch. Both statements describe the same economy.
Murati's Thinking Machines gave away a 975B model for free, and the reason why reveals where the real moat in AI now lives: your data, not your model.
Kimi K3 is being celebrated as the moment open-source AI caught the frontier. But at 2.8 trillion parameters, openness has stopped meaning access and started meaning influence.
BNY's record quarter and ten blunt words from its CEO mark the end of token consumption as the metric that defined enterprise AI.
Databricks' new raise at a $188 billion valuation is a bet that the enterprise AI wars will be won not by the best model, but by the layer that routes, governs, and pays for all of them.
The AI services venture backed by Blackstone, Hellman & Friedman, and a deep bench of global investors now has a name, a brand, and a clear mandate: turn frontier models into working systems inside real companies.
Veterans of Google, Salesforce, and other tech giants are betting that the future of customer service AI will be built by startups solving the hardest problems: production reliability, control, data, and the role of humans.
Satya Nadella breaks ranks with the frontier labs, warning that every prompt and correction quietly teaches AI providers how your business runs.
Starbucks spends $400 million a year on software, and it just told Microsoft and IBM it might not need them.
For most of the past two years, the story of AI adoption inside big tech companies has been an engineering story. Uber has now given one of the clearest public looks at the next chapter.
The cloud giant is the latest and largest name to embrace a deployment model pioneered by Palantir. The race has shifted from who has the best model to who can get it running inside your company.
James Shira oversees technology and security for one of the world's largest professional-services firms. His argument to other leaders: the hardest part of the AI transformation is the weight it places on people.
Good enterprise software was assumed to be expensive, slow, and painful to replicate, which is exactly why acquirers paid steep multiples for it. Bain & Company just put a price on that assumption.
A new post on how the company runs its own analytics doubles as a quiet argument: the thing knowledge platforms charge a premium for is becoming the floor.
Two months ago it was Meta logging keystrokes to train AI. Now a Canadian bank is tracking its financial-crime staff to lift productivity.
Meta is reining in the very behavior it spent the past year encouraging.
Two months ago, Anthropic's most powerful model was too dangerous to hand out. Today you can put it on a company credit card.
OpenAI's CEO says cost concerns went from a non-topic in January to one of the loudest complaints he hears, as firms blow through annual AI budgets in a single quarter
"At the time, my team hated me," Mike Blandina said of January cuts he framed as a "provocative" way to prove AI could replace lost headcount.
Google, OpenAI, Anthropic, and Meta are racing to embed engineers inside customer operations. The reason has less to do with the job market than with a number the labs rarely volunteer.
The most dangerous number in Bain & Co.'s new survey is not 40%. It is 44%.
DeepSeek's V4-Pro now costs $0.87 per million output tokens. Permanently.
Anthropic now leads OpenAI in U.S. business AI for the first time, and four patterns from a 1957 Walt Disney sketch explain what changed.
The race in AI has moved one layer up, from model capability to architecture, and the five companies shaping enterprise AI are running four fundamentally different bets.
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