The biggest barrier to the adoption of AI to improve productivity is not cost or latency, but middle management. These are people that control the work lives of tens, if not hundreds of other people. Their lives are some of the toughest as they have to take flak from both their subordinates and their superiors. The CEO wants to implement a new Gen AI strategy to impress the board? They dump it on the middle manager, who has to figure out a way to implement their vision either by themselves or with the help of external vendors. But this is where the CEO's vision runs into the realities of corporate life. While the CEO is interested in productivity gains that feeds into the bottom line, middle management is concerned about headcount under them - whether out of genuine concern for employee welfare or because they are power-hungry. Anything that endangers this will not be adopted including Gen AI. The most successful sales calls I've been on are where we show clients how an LLM-based solution can empower their team to do more meaningful tasks - NOT replace them.
Rachitt Shah
1mo
AI first software is becoming more of a wetware than a software problem!
Pratik Bhavsar
1mo
Are you going to piss off the very people who will approve the consulting projects :P
Nayrhit B
1mo
Principal agent problem is the biggest risk I see Anshul Bhide This is precisely why we decided to start at SMB and Mid market segments and with a human in the loop offering. AI adoption will face head winds not because of accuracy but because of trust!
Surendra Joshi
1mo
Shop floors are classic examples of Newton’s second law. Inertia is high there and nothing moves there unless external unbalanced force is applied. This includes machines as well- those require electricity and set of instructions from PLCs. 🤔
Rajaswa Patil
1mo
Good insight! Finally somebody said it out loud!
Vinod Borole
1mo
Thank you for highlighting this often overlooked but vital aspect of AI integration
Krish Kothari
1mo
Well said
“Center” of the pyramid is typically where any ‘real’ transformation takes place (cloud, ai, digital,…). Adoption barriers are lack of time, education and trust (provisioned by leaders). To sustain this change the Talent & Org ecosystem (task allocation, training, org design, incentives,…) needs to change, for deep-rooted behaviour and mindset shifts.