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The earnings growth from technology companies are an important support for current market valuations. So, naturally, we are interested in how artificial intelligence (AI) is getting used by Corporate America. After all, these are the organizations with the budget and manpower to test, develop and implement solutions.
So far, the results are very disappointing.
MIT recently published a report looking at $30-40 billion in enterprise AI investments across 300 different implementations. Only 5% of AI pilot programs were generating value, while most remain stuck with no measurable P&L impact.
Five Myths About GenAI in the Enterprise
1. AI Will Replace Most Jobs in the Next Few Years → Research found limited layoffs from GenAI, and only in industries that are already affected significantly by AI. There is no consensus among executives as to hiring levels over the next 3-5 years.
2. Generative AI is Transforming Business → Adoption is high, but transformation is rare. Only 5% of enterprises have AI tools integrated in workflows at scale and 7 of 9 sectors show no real structural change.
3. Enterprises are slow in adopting new tech → Enterprises are extremely eager to adopt AI and 90% have seriously explored buying an AI solution.
4. The biggest thing holding back AI is model quality, legal, data, risk → What's
really holding it back is that most AI tools don't learn and don’t integrate well into workflows.
5. The best enterprises are building their own tools → However, internal builds fail twice as often.
The largest complaints about the AI rollouts: it doesn't adapt, can't be customized, requires too much context for each query, and it didn't learn from historical feedback.
Here is a link to the full report: MIT NANDA report on GEN AI
For now, money is getting spent rolling out this new technology out. Large companies hope to replace expensive employees with a cheaper software solution. However, if sponsors begin cutting projects, then the entire profit model for the market's largest companies is in peril.
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