Responsible, Ethical and Transparent AI Practices

On Our Radar

Efficiency and productivity tools like generative artificial intelligence (AI) get all the attention, but the fact is they don’t work without human beings. According to a study by Gallup, 93% of chief human resources officers say they use AI in their organizations yet more than two-thirds of employees say they never use it. The disconnect is undeniable, but it can be overcome by shifting the focus back to people.

Dr. Ben Waber, Visiting Scientist at MIT & Author of People Analytics, George LaRocque, Founder of WorkTech, and Cliff Jurkiewicz, Vice President of Global Strategy at Phenom, discussed how to strike a balance that helps employees gain valuable AI skills while simultaneously giving the organization a competitive edge.

Kurkiewicz explains that the misconception is lack of employee interest, which is a cultural problem as much as technological one. There is a disconnect from what the C-suite is saying and what employees are feeling in the workplace due to lack of operationalization and where the use cases can be immediately replied. Dr. Waber adds that in order the recognize ROI, organizations need to be very explicit about what they hope to accomplish with these technologies and the metrics being applied.

As 2025 gets underway, what are the drivers accelerating clean energy demand?

The outlook for clean energy remains robust entering 2025, driven by two key factors. First is traditional state-level policy and corporate targets for clean energy create meaningful contracting avenues for new clean energy projects. This remains true even with the observed pull back in corporate ESG goals. Second, and perhaps more importantly, is rapidly expanding load growth across the United States driven by both datacenters and general economic expansion. With clogged interconnection queues across the nation, in many cases, clean energy will be the fastest and lowest cost energy resources to enter the market in order to meet the insatiable demand for energy in general.

How would you describe investor sentiment around clean energy? What trends should they account for in the year ahead?

Investors remain bullish on clean energy over the long term. However, in the near term, potential changes to federal policies may challenge the economics of marginal clean energy development projects. This has led investors to refocus on existing v.s development projects, the quality vs. quantity of those projects, and honing in on geographic nuances.

How will emerging technologies, such as AI, machine learning and blockchain, impact the clean energy industry?  

As the U.S. enters President Trump’s second term, the country is in a fundamentally different place than at the start of his first term. Notably, most energy markets across the U.S. are tighter from a reliability perspective; we are in a higher interest rate environment; resiliency is front and center; and global supply chains are challenged across all technology types. To meet the growing electricity demand in an affordable and reliable manner, including for AI and data centers, it will be an all-hands-on-deck approach to the procurement of energy supply. This bodes well for quality clean energy projects currently within interconnection queues across the nation.

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