AI’s $10 billion deployment push won’t bring AI into the economy. Enterprises need fewer forward-deployed engineers and more domain experts who understand their business. Go to Source

Few large organizations have rebuilt their core operations around artificial intelligence, according to the technology chief of one of the world’s largest consulting firms. He also said companies shouldn’t yet spend much energy on assigning blame when AI projects go...

A $500 million headline draws attention like a thunderclap. So, when Kirkland & Ellis, the highest-grossing law firm in the world, announced it is building its own AI platform, the legal press called it audacious, a watershed, and the opening salvo in a new arms...

There’s enormous value in reducing the natural friction between human expression and machine discipline. Large language models may ultimately prove most transformative not when they replace deterministic systems, but when they help people interact with those systems...

Agents are unlocking enormous productivity gains for customers, but their ability to work across files, networks, and applications can introduce new security risks. This can leave customers feeling like they only have two choices: give agents unrestricted access and...

I think many information providers will have to abandon the ambition of making their platform the main place where customers analyse and apply the data they buy. When customers can obtain the analytical tools elsewhere, providers have to earn their place through...

We are entering a new era of truly “personal” software, where you can easily tailor the apps you use to the way you work, but stay connected to the systems of record your business already runs on, preventing fragmentation of your most important systems. Go to...

Roughly, a recurring problem when discussing RSI is a lack of specification in intelligence. The jaggedness of intelligence means that we need to discuss thresholds in specific, measurable tasks. The nature of LLMs’ intelligence is shaped very differently than humans,...

Over the past few weeks, a new class of solutions is taking shape: a market-facing representative of the consumer. Muse and Instinct - consumer-side AI agents - can search, evaluate and eventually transact on your behalf. This seems like the natural endpoint of the...

Three of our nine predictions for the next 12 months are: An agent halves its failure rate on new tasks after a month of customer work, without a model upgrade. This will be a practical measure of continual learning. An autonomous AI team beats human-led model...