The Big 4 consulting model rested on information asymmetry and institutional trust, and AI has erased the data-collection layer under it. The firms that deliver wisdom directly, without junior teams or conflicts of interest, will own the next era. Consider vendor-neutral options before your next call to the Big 4.
Bloomberg spent $10 million on a custom language model that a general-purpose commercial one then outperformed. Even McKinsey and Samsung could not outrun commercial AI providers in zones where those providers hold every incentive. Check where you are building against vendors who keep advancing.
The coming AI disruption is less about jobs than about the price of thinking and the price of money. Repricing rewards the early and punishes the late, so prepare clear-eyed now rather than restructure in panic.
Most AI agent governance guidance targets either heavy regulation or none at all, leaving the mid-market in the middle. If your firm has SOC-2 obligations, map your compliance perimeter, classify your processes and decide system access. Being lightly regulated is an advantage you can use.
Google UCP gives AI agents a hub for transaction data, removing the largest structural barrier to agentic commerce. Commerce moves from click-based to intent-based, and the pipes are now laid. Fragmentation across merchants was what held agents back until now.
A flurry of AI pilots created an illusion of competence, and the board's questions are now moving to governance. Look past the pilots to the infrastructure, data strategies and controls behind them. Build governance as steering, not braking, before it becomes a blind spot.
Every enterprise software vendor is embedding AI, so stop building what your vendors are about to ship. Build cautiously across common system pairings, and put your effort into the proprietary data topology only your company can see.
After two years of AI hype and demos, the pivot for 2026 is from magic tricks to margin impact. Calculate the cost of the manual glue holding your systems together, the Shadow P&L, and treat that as your transformation budget. You do not need more experiments.
Imagination, the ability to reason about worlds that have no precedent, is the human strength AI still cannot match. Leaders who blend AI precision with human intuition and design futures never seen before will define the next era of differentiation.
AI maturity is about to flatten many of the moats companies rely on today. Two differentiators it cannot flatten are AI and human coordination, and organizational nimbleness. They are harder to imitate and more durable, so build them now.
Calm waters do not produce legendary leaders, and the AI revolution is the rough sea that does. A smaller, determined group is committed to shaping the era rather than just surviving it. Make sure your strategic guidance matches that ambition.
Reddit's suit against Perplexity shows that control of the data behind AI models is now a legal battleground. The business model is shifting from scraping to licensing, so you can monetize your data or guard it.
